impact of agricultural mechanisation on crop production
CHAPTER ONE
INTRODUCTION
1.1 Background to the Study
It has been well realized all over
the world that in order to meet the food requirement of the rapid growing
population and rapid industrialization, the mechanization of Agriculture is
inescapable. The packages of mechanization technology include the use of more
efficient and economical farm implements and machineries and suitable form of
farm power. Mechanization requires appropriate machinery for ensuring timely
field operations and effective application of various crop production inputs,
utilizing human, animals and mechanical power sources. Equipments for tillage,
sowing, irrigation, plant protection, harvesting, threshing and other post
harvest operations had widely been accepted by farmers. The key to economic
development in developing countries such as Nigeria lies in raising the
agricultural production. This can be achieved by bringing more land under
cultivation. In this period of the nation agricultural development, more land
can only be brought under cultivation if the important farming operations, such
as tillage, planting, fertilizing, weeding and harvesting are mechanized.
Mushood, 2015), Traditionally, the
hand-hoes are the most commonly used implements or tools under peasant farming
in many developing countries. These implements are used for wide range of field
operations,
Philip and Ezeh, 2018)The need to
supplement and possibly replace human labour with both animal and mechanical
sources of power to boost production in Nigerian agricultural system has long
been realized. This was more evident in the 2000s when the key intervention of
the government was to make tractor services available to
farmers (Mushood, 2015), At Federal level, tax relief incentives were granted
on most classes of imported farm machineries while at the State level, tractor
hiring units (THU) were established for the purpose of acquiring, maintaining
and hiring out tractors to farmers at subsidized hourly rates.
Agriculture is the basis of man’s
existence and it supports human beings through provision of food, clothing and
raw materials. In the 2000‟s Nigeria was not only self sufficient in the
agricultural food production, but the agricultural sector accounted for about
64% of the country’s foreign exchange earnings and employed over 70% of the country’s
population. In Nigeria, despite the abundant water supply, favorable climate
and wide areas of arable land, agricultural production is restricted due to
inefficient methods of cultivation but yet contributed 32% gross domestic
product(GDP) in 2001(Rank, 2017). The „oil boom‟ period in the 2000s caused a
long term negative effects on the agricultural sector which led Nigeria into
importation of food worth $1.2billion in 2000s and the Agricultural sector’s
contribution to the country’s GDP had declined from 63.4% in 2000 to unimpressive
18% in 2010.
The continuous failure of government’s
attempt to revamp agriculture through injection of huge amount of money into
Agricultural Projects and programs such as: National Accelerated Food
Production Programme (NAFPP) in 2002, Agricultural Development Projects (ADP)
in 2005, The Operation Feed the Nation (OFN) in 2006 and establishment of the
River Basin Development Authorities (RBDA) in 2006 that it was no longer a
question of neglect alone. Since the early 2000s, efforts have been geared
mainly towards tractorization. It is evident that this has not yielded the
expected results for a number of reasons. The reasons
according to Bodet (2017) included lack of skilled operators and maintenance
personnel, lack of suitable implements and spare parts and increase in the cost
of tractors and implements.
Agricultural mechanization is the
use of various power sources and improved farm tools and equipment, with a view
to reduce the drudgery of the human beings and draught animals, enhance the cropping
intensity, precision and timeliness of efficiency of utilization of various
crop inputs and reduce the losses at different stages of crop production. According
to Olaoye and Rotimi (2016), the level, appropriate choice and subsequent
proper use of mechanized inputs into agriculture has a direct and significant
effect on achievable levels of land productivity, labour productivity, the
profitability of farming, the sustainability, the environment and, on the
quality of life of people engaged in agriculture. Amapu (2018) stated that for
mechanization to succeed in rural areas government will have to increase the
number of micro-finance houses with reduced interest rate to farmers. Amapu
added that youths should be trained on the fabrication of simple farm tools and
implements. By this practice, the youths would be self- employed and simple
farm implements made available to farmers at reasonable prices. In recent
years, there have been significant improvements in the design of farm tools and
several types of tractors and implements are now available to replace the use
of some hand tools. Daramola et al stated that adoption of mechanization in
crop production speeds up many farm operations. The use of modern farm machines
reduces farm drudgery and encourages youths to participate in agricultural
activities. Adoption of agricultural mechanization in crop production increases
food production and the advancement of rural economies. The
need for increased adoption of mechanization by farmers has drawn attention of
Agricultural Researchers in many countries to devote utmost interest and
resource to engineering research in operations to minimize the drudgery, reduce
labour intensities and unsanitary and inherent unhygienic handling that are
involved in the traditional manual operations.
Crop production is a science called
agronomy which is the branch of agriculture that treat the principle and
practices of crop production and field management. Therefore better crop
production follows adoption of new improved machineries and breeding of new
crop varieties and other inputs like fertilizer. Four key factors influenced
increases in the rate of crop production: more efficient use of labor; the
timeliness of operations; more efficient use of inputs; and more sustainable productions
systems. These four drivers played out at different rates in different crop
production systems, but always led to more efficient systems with lower input
costs. Technological innovations generally increased mechanization by
integrating functional processes in a machine or crop production system and by
making it possible for a farmer to manage increasingly large areas of land.
1.2 Statement of the Problem
The rapid population growth in
Nigeria without corresponding increase in food production has resulted to food
supply deficit, hunger and poverty (Adinya, 2017). Ike (2018) reveal that there
is wide gap between what research findings have shown to be possible and
feasible on one hand, and what actually obtain on the other hand. Ike further
states that irrespective of the potentials and promises of any agricultural
research findings the full potentials cannot be realized until full adoption by
the farmers. Despite that a number of Agricultural Development Projects (ADP)
has been set up by successive governments in the country (Nigeria). Tractors
were made available to farmers either on hire or loan by the government and by
few individuals and to some extent farmers have adopted some levels of
mechanization.
Despite the fact that majority of
the country’s population are involved in various aspects of agricultural
production, with the available resources on ground and huge amount of money
injected in agricultural sector especially in agricultural mechanization,
Nigeria still has to import large quantity of food, (Rank, 2016). Despite all
the efforts made by the Zing Local governments to increase agricultural
production through the provision of modern farm inputs such as, improved seeds,
fertilizers, crop protection chemicals and machineries, the researcher observed
that crop production in the study area cannot complement the huge efforts in
terms of labour and cost expended on the overall activities on the farm. It is
not uncommon to find peasant farmers selling their personal properties to buy
fertilizers and hire labour for their farm at the onset of rainfall. It is also
common to see peasant farmers buying farm products which they have been
producing from the open market to feed themselves few months
after the harvesting season because they have run out of stock Agriculture is a
major occupation providing employment for about 70 percent of the people
(Idrissa et al, 2018). Despite this, Nigeria is unable to produce enough food
and fiber to meet her demand. This could be attributed among others, to the fact
that majority of Nigerian farmers are subsistence smallholder farmers who
cultivate between 1-2 hectares, which is usually scattered over a wide area
(Akande, 2016).The wide spread hunger and malnutrition along with low and
stagnating productivity in agriculture tends to be at the top of the list of
food and agricultural concerns in developing countries. Food crisis has been
the major problem of the rural households (Mohammed, Achem, Omisore, and
Abdulquadri, 2019). It has been reported (Faborode, 2015) that less than 2% of
the agricultural production in Nigeria is mechanized in the real sense, leaving
98% of the production in the hands of traditional producers. The effect of this
dependence on hand tool technology is low output and the technology cannot transform
agriculture (Akande, 2016). It is
very clear that the production is not enough to meet the demand of the growing
population in the states. This production pattern in which the farmers cannot
feed themselves not to talk of surplus for market to meet up with other
necessity of life, this means that there are problems with the present
production. It is based on these problems that the researcher deemed it
necessary to carry out a research to determine the influence of agricultural
mechanization on crop production in Zing Local Government Area. with a view to
increase crop productivity.
1.3 Objectives of the Study
The main objective of this study was
to determine the influence of agricultural mechanization on crop production in
Zing Local Government Area. While the specific objectives were to:
i.
Determine crop yield per hectare influence by
agricultural mechanization on crop production in Zing Local Government Area..
ii.
Determine the influence of agricultural
mechanization on the income capability of the farmers in Zing Local Government
Area..
iii.
Determine the influence of agricultural
mechanization on the farm size cultivated by the farmers in Zing Local
Government Area..
iv.
Ascertain farmers‟ perception of the influence of
socio-economic characteristics on mechanized crop production in Zing Local
Government Area..
v.
Determine the influence of agricultural
mechanization on the farmers‟ standard of living in Zing Local Government
Area..
1.4 Research Questions
The study
provided answers to the following research questions;
i.
What is the influence of agricultural mechanization
on crop yield per hectare of farmers in Zing Local Government Area.?
ii.
What is the influence of agricultural mechanization
on the income capability of crop producing farmers in Zing Local Government
Area.?
iii.
What is the influence of agricultural mechanization
on farm size cultivation for crop production in Zing Local Government Area.?
iv.
What is the influence of socio-economic
characteristics on mechanized crop production in Zing Local Government Area.?
v.
What is the influence of agricultural mechanization
on the farmers‟ standard of living in Zing Local Government Area.?
1.5 Research Hypotheses
The following null hypotheses were
formulated and tested at 0.05 levels of significances:-
1.
There is no significant influence of agricultural
mechanization on crop yield per hectare of farmers in Zing Local Government Area.
2.
There is no significant influence of agricultural
mechanization on the income of crop producing farmers in Zing Local Government Area..
3.
There is no significant influence of agricultural
mechanization on farm size cultivated for crop production in Zing Local Government Area..
4.
There is no significant influence of mechanized
crop production and socio economic characteristics of farmers in Zing Local Government Area.
5.
There is no significant influence of agricultural
mechanization on the farmers‟ standard of living in Zing Local Government
Area..
It is hoped that the findings of
this research would be of benefit to the farmers in Zing Local Government Area.
The finding of this study would also create awareness among the farmers on the
need of adopting mechanized crop production techniques which would improve
their standard of living. The findings will also be useful to ministry of
agriculture for planning and shaping its mechanization projects and service
delivery to the farmers so as to optimize crop yield. It will also be of great
benefits to graduates of agriculture to consider enrolling in agricultural
related programmes that are meant to provide employment for the youth in Zing
Local Government Area. And the country at large. Furthermore, the finding would
be of benefit to research institutions by the provision of useful
recommendation.
1:7 Basic Assumptions of the Study
The study
was based on the following assumptions that:
1. Agricultural
mechanization has increased the farmers‟ crop yield per hectare.
2. Farmers‟
standard of living is influence by the agricultural mechanization on crop
production.
3.
There is an increase in the size of land cultivated
as a result of mechanized crop production.
1.8 Delimitation of the Study
The study was delimited to Influence
of agricultural mechanization on crop production in Zing Local Government
Area.. The study was also delimited to production of millet, cowpea, groundnut,
and sorghum, because they were major and most commonly grown crops in the area
under study.
CHAPTER
TWO
REVIEW OF RELATED LITERATURE
The
review of the related Literature was presented under the following sub-headings:
The theoretical background for this
study is based on theories of social changes which stipulated that society’s
exhibited two kinds of forces: those which seek to promote change and those
that strive to maintain the status quo. These forces are locked in perpetual
combat, the former trying to throw the later off balance to gain ascendancy,
and the latter trying to prevent this from happening”. Strauss (2019) in
Muhammad (2017) added that the essence of human life is change, development and
growth. The process of change involves interaction with forces which are
elements of change. The process of integrating these ideas will provide a sort
of road maps towards adoption of new ideas, which will provide solution to present
challenges and prevent obstacle to the realization of objectives. Social
changes is either planned or unplanned, changes is considered social when it is
wide spread affecting societal pattern of daily life or structure of its
institutions. Rogers (2018) was of the view that imminent /or internal social
change occurs when members of social system with little or no external
influence create and develop a new idea which then spreads within the system,
while on the other hand contact changes occurs according to Rogers, when
sources external to the social system introduce a new idea. It may be either
selective or directed. Selective contact results when members of social system
are exposed to external influence and accept or reject a new idea from that
source on the basis of their needs. The directed social change, or planned
change, is coursed by outsider who on their own or as representatives of change
agencies, intellectual seek to introduce ideas in order to achieve goals they
have defined.
The theory of social change was used
to examine factors affecting adoption of technologies by the farmers; of which
increase in production of food in both quantity and quality is the philosophy
behind the policies. The significance of social change to this study is therefore
the planned change, an interventionist perspective that seeks to introduce
ideas to achieve set goals. The planned change in this study is the infusion of
ideas to change the existing practices which are “unproductive” to some level,
and to create awareness for the adoption of improved technologies with the
specific objectives of altering the undesirable practices which are not meeting
the challenges of modern farming practices and sustainable development ,(Spore,
2011).
Muhammad (2018) observed that all
societies were at a particular developmental stage “Traditional” and that
traditional societies would experience similar changes as it has happened to
those societies in developed nations which eventually become “Modern”. He
further added that some writers who emphasized transformation of cultures
believed that ebbed in the traditional society where cultural practices
believed to be barriers to development. In order to develop, these cultural
barriers have to be removed, most especially those cultural practices that
breed conservative ideology.
2:2 Meaning of Agricultural Mechanization
Agricultural mechanization may be
interpreted in several ways. To some, it is synonymous with tractorization,
while others take it to imply increase in production per worker and per hectare
of land cultivated. Therefore, the term “Agricultural Mechanization” can be
defined as “a system in which farm machines are used instead of human labour”
(Uguru, 2019). Rijk (2019) said, “Agricultural mechanization embrace the use of
tools, implements and machines for agricultural land development, crop
production, harvesting, preparation for storage and on-farm processing”.
Agricultural mechanization can be defined as the use of machine instead of
human effort for agricultural production, processing, handling, preservation
and storage .Agricultural mechanization is not an end but a means of
eliminating drudgery in farming and encouraging increasing food production.
According to Spore (2002),
agricultural mechanization will bring about changes in production methods,
logistics and equipments. There is the need to adopt processes and tools to the
mechanics of elderly and youthful bodies alike. The ergonomics option involves
technological development of production tools and equipment as well as
improvement in the harvesting, handling and processing methods in order to
reduce drudgery and make agricultural production processes more attractive.
Odigboh (2020), further defined agricultural mechanization as the use of
machine, any machine, to accomplish a task or an operation involved in
agricultural production. Such tasks or operations according to Odigboh,(2020)
included reduction of human drudgery, improvement of timeliness and efficiency
of various agricultural operations , bringing more land
under cultivation, preserving the quality of agricultural products, providing
better rural living conditions and markedly advancing the economic growth.
Also, Nigerian Educational Research and Development Council (NERDC, 2017)
defined Agricultural mechanization as the art and scientific application of
mechanical aids for increased production and preservation of agricultural
produce with increased efficiency and less drudgery. Gifford (2012) viewed
agricultural mechanization as the manufacture, distribution and operation of
all types of tools, implements, machines and equipments for agricultural land
development, farm production and crop harvesting and primary processing. Also
Mijindadi (2014) defined agricultural mechanization as the application of
better and more efficient hand tools draught animals drawn implements as well
as motorized equipments to reduce human efforts(drudgery), improve timeliness
and the quality of various farm operations thereby increasing yields and
raising the quality of products and the general efficiency of farm holdings.
Daramola, Igbokwe, Mosuro and
Abdullahi, (2018) defined agricultural mechanization as the use of labour
saving machinery in agricultural production. Also Iwena, (2017) defined
agricultural mechanization as the application of engineering principles and
technology in agricultural production, storage and processing on the farm.
Agricultural mechanization in the broadest sense refers to the application of
engineering, scientific and technological principles in the development and
application of labour saving and productivity increasing devices such as
machinery, improved breeds of animals and varieties of crops, husbandry methods
and production inputs in production, storage and processing on the farm. It is
applicable to land preparation, planting, husbandry, fertilizer
application, weeding, crop health, irrigation and crop harvesting, storage and
processing and rearing, care and feeding and animal health as well as storage
and processing of the produce in order to add value (Are, Igbokwe, Asadu, and
Bawa, 2016). From these definitions, agricultural mechanization is one of the
various ways of agricultural development. Therefore, any attempt to give a
complete analysis of the economies of mechanization would have to include the
use of hand tools, machines as well as the use of draught animals and the
corresponding implements to reduce human labour and increase the efficiency of
production.
2:3 Brief History of Agricultural Mechanization in
Nigeria
The use of animal draft force was
first demonstrated in Nigeria in Daura in 2018 (Alkali, 2016). Serious attempt
to introduce mixed farming started in northern Nigeria in 2016 (Holmes, 1938).
According to Musa (2018), there has been attempt to introduce donkeys into soil
cultivation operations, but after training, it was found that the load-carrying
capacity of the donkey could be increased by 5 times by the use of a cart .According
to Kalkat and Kaul (2013), horses are also used in Nigeria as draft animal but
only to small scale sugarcane crushing and processing. The first animal drawn
implement introduced in Nigeria was a wooden plough. As from 1934, these were
replaced by steel ridging ploughs because of their durability (Holmes, 2018).
Alkali (2019) added that this ridger was used for almost all tillage operations
from ridge splitting, ridging, remolding, weed control to groundnut lifting. It
was thought that Nigerian mixed farming required a multi-purpose
tool bar which would offer as many attachments as possible for different
tillage operations and could be drawn by the local work bulls.
Sporadic efforts were made towards
its importation and local development in Daudawa and Samaru but the results
were unsatisfactory. The Emcot ridger manufactured by the John Holt Agricultural
Engineering Company in Zaria was introduced in the mid-2000s and the Ariana and
unibar toolbars such as Arara, occidentale and Kazaure were later introduced to
the Nigerian Farmers and were available for technical evaluation at the
Institute for Agricultural Research (IAR) (Alkali, 2019). Musa (2018) stated
that from the early 2000s when sales of petroleum expanded Nigeria‟s foreign
reserves efforts tended to shift from animal sources to mechanical power
sources .Tractor mechanization approach was introduced in 2000s, but this
failed because the small scale farmers were neglected in the scheme and because
the tractors, implements and spare parts had to be imported with scarce foreign
exchange. According to Bodet (2017), this failure led to the adoption of Animal
Traction (AT) technology by the small scale farmers. However, with the present
high cost of tractors, the best alternative is animal power. He added that more
efforts need to be made by government organization and research institutions
towards the development of other appropriate animal drawn implements for farm
operations such as harvesting, water lifting and threshing. This will help
animal power to make yet more impact on Nigerian agriculture.
2.4 Problems of Agricultural Mechanization in Nigeria
Since the early 2000s, efforts have
been geared mainly towards tractorization. It is evident that this has not
yielded the expected results for a number of reasons including lack of skilled
operators and maintenance personnel, lack of suitable implements and spare
parts and increase in the cost of tractors and implements (Bodet,
2017).Youdeowei (2017), in contributing on the problem of agricultural
mechanization pointed out that absence of incentives for indigenous design and
manufacture of farm equipments by the government militate against the adoption
of agricultural mechanization. He added that some of the major problem facing
farm mechanization in developing tropical countries included poor credit
facilities and lack of classified data and information on the suitability,
adaptability and performance of commercially available agricultural equipments
to the prevailing types and condition of soil. In order to realize the full
benefit of agricultural mechanization, overall technological development of the
country is necessary. This means the availability of improved crop varieties,
fertilizer and storage facilities as well as transportation system to
distribute and market agricultural produce (NERDC, 2016).Smith (2014) stated
that a farm mechanization innovation will only be accepted by farmers if it
provides a solution that the farmer is actively seeking. This means that it
must be compatible with the farming system and the needs of the farmer taking
technical, social and economic factors into account. According to Ogeiva
(2018), technical know-how and seasonality of farm operation were the problems
confronting the adoption of agricultural mechanization by the farmers. A number
of farmers are illiterate and cannot read the instructions attached to the machines concerning their operations. The mode of
operation of farm machines is too tedious to be learnt. Also agricultural practices
are seasonal in Nigeria and machines only work in the rainy season, machines
can rust and get damaged during the dry season. All these served as hindrance
on the adoption of agricultural mechanization.
Daramola (2020) said, machinery
remains idle after the cropping season and this makes their purchase
uneconomical. Anyanwu (2018) added that the available machines were not enough
to reach all those who would like to hire them. The problem that militates
against the mechanization of agricultural mechanization in rural areas is that
farmers were poor and lack the money to purchase the machines. Also, poor
topography of the landscape leading to malfunctioning of the machines and the
machine may breakdown hindered the adoption of agricultural mechanization.
Traditional farming system does not give way to complete mechanization. That
is, mechanization can be employed only in land preparation in mixed cropping
system. Amapu (2018) added that scarcity and high cost of purchasing and hiring
machines, lack of access to loan scheme by the farmers, poor knowledge of
extension agents in engineering and land tenure system. Amapu added that the
individual farm-size of the farmers are too small for the deployment of
motorized farm implements such as tractors and this is because ownership of
land is predominantly through inheritance.
2.5 Roles of Agricultural Mechanization and impact
of Tractorization on Farming.
Agricultural mechanization plays
important roles in agricultural production such as increased working capacity
and speed of execution are proof of the technical roles of mechanization (FAO,
2008). Rijk (2009) reports that, “mechanization contributes to
increase in food production, productivity and advancement of rural economies”.
The use of machines makes possible some jobs which the farmer could not
otherwise undertake such as rapid clearing of forest, ploughing in dry weather
in order to plant with the early rains and green manuring on a field scale
According to Youdeowei (2018), the roles of agricultural mechanization are to
increase the farm output per human hour and to reduce spoilage, waste and other
losses of agricultural produce. They added that land abandoned because of
inappropriate use or inadequate capability to use the land can be reclaimed
through mechanization. According to Ugochukwu, Otegbade, Okeke, Suleiman,
Idriss and Patrick (2017), agricultural mechanization has led to increase in
production and efficiency of farm operations. They added further that
agricultural mechanization made person to specialize in agricultural
operations. This will in turn lead to mastery in agricultural skills with a
positive effect on increase production. With mechanization, the farmer is able
to accomplish his tasks with ease and in good time. Therefore, Agricultural
mechanization may reduce the economic pressure that resort to bad agricultural
practice such as the complete burning of all vegetative covers on new land and
yet make it possible for the farmer to cultivate many hectares of land during a
single season. Also, Anyanwu et al; (2018) stated that agricultural
mechanization increase the profit margin of the farmer and also it makes
possible for the farmer to make use of optimum production period. In addition,
mechanization improves the quality of farm products in terms of taste, yield,
processing and storage (Daramola, 2020). Mechanization therefore eases and
speeds up many farm operations. The use of modern farm machines reduces farm
drudgery and prevents the youths from not involving in
agricultural work it is however very expensive in capital cost and as farms in
west Africa are poorly cleared of stumps, rocks etc. wear and tears on farm
machines is very rapid and operating costs are consequently high. Also, Are et.al
(2017), outlined the following as advantages of agricultural mechanization:
i.
Increased area and number of livestock: It
increases the hectare under cultivation and the stock reared per head.
ii.
Timeliness of operation: Agriculture is a time
bound operation especially in a rain fed system. Mechanization ensures that all
farm operations are carried out and completed within a short period of time.
iii.
Increased productivity: It improves production
efficiency by reducing cost per unit of product.
iv.
Labour saving: mechanization substitutes human
labour to a large extent in many farm operations. The labour so saved can be
deployed in other sectors of the national economy.
v.
Reduced drudgery: It reduces the drudgery
associated with farming and therefore it is more likely to attract young people
into agriculture.
vi.
Reduces human hazards: mechanization reduces the
chances of damage to the health of farm hands especially those posed by working
long hours, pests and diseases and the use of manual tools.
vii.
Discourages unsustainable cultural practices: It
discourages some cultural practices that may lead to land degradation such as
bush burning and uncontrolled grazing.
viii.
Increases farm revenue: Increased area of
production and increased productivity often translate into increased yield and
hence increased revenue for the farmer.
ix.
Improved quality of farm products: Mechanization
improves the quality of the farm products in terms of taste, yield, processing
and storage. For example through mechanical sorting of rice grains and stones,
the quality of rice can be improved and made ready for cooking.
x.
Large -scale production: It encourages large-scale
production of desired produce thereby increasing quantity of produce and
economy of scale.
xi.
Increased output: It makes it possible for farmers
to have an increase in output or production.
xii.
Specialization of labour: It provides for farm
labour to specialize in certain operations and farmers to specialize in certain
types of production with some advantages of scale and market.
xiii.
Cooperation through clustering: Mechanization tends
to encourage farmers to cluster in one area and cooperate in sharing machinery,
inputs and marketing services. Traditional bullock ploughing has been replaced
by mechanized plough with gradual inroads of tractors and power tiller in the
agricultural sector since the sixties. Mechanization has been one of the
instruments for modernization of agriculture and that is why the green
revolution programmes during the mid sixties was truly coined as biochemical
and mechanical revolution. Demand for tractorization has therefore increased
manifold but not to the extent as it happened in the case of other inputs like
high yielding varieties of seed, chemical fertilizer and irrigation of course,
there is an established premises for greater demand for tractor and power
tiller for ploughing (Banerjee et al, 2018).
2.6 Standard of Living of the Farmers
From the sociological point, whether
the standard of living is high or low is measurable by the extent to which it
gives the best condition for the highest development of human life. Smith (2017)
defines standard of living as all the things contributing to the quality of
human existence. Atala (2018) viewed it as the material and impersonal
resources which individuals possess and use to meet their physical,
psychological, social condition or needs. Anonymous (2018), explained standard
of living as a level of wealth, comfort, material goods and necessities
available to certain socio-economic class in a certain geographic area.
Wikipedia further explained that the evaluation of standard of
living commonly includes factors such as income, quality and availability of
employment, class disparity, poverty rate, quality and affordability of
housing, affordable access to quality health care, quality and availability of
education, and inflation rate. Farm
economists have studied farm income principally from two points of view,
namely: the income of individual farms, which have been used as measures of
farm efficiency, and the annual income of the farmers as a class, as an index
of their share of national dividend. It is the assumption that if the farmers‟
income, either individually or as a class, be increased, his economic welfare
or standard of living would advance proportionately. Therefore, the farm
incomes and the standard of farm families are so intimately related that they
certainly worthy of joint consideration.
2.7 Yield of the Farmers
An immediate goal of agricultural
policy in Nigeria is to produce more food. By doing this is to encourage
greater output per crop, and per unit area of land and labor. Gross farm output
is the final agricultural output that measures the value of agricultural
products which are free of intra-branch consumption is produced during
accounting period and before processing, is available for export and/or consumption.
The ability of a farmer to improve on his output may be determined by his
physical and mental well-being, managerial skill, and exposure to extension
services and access to inputs.
2.8 Adoption of Technology
Technology is assumed to mean a new, scientifically
derived, often complex input supplied
to farmers by organizations with deep technical expertise. Neill and Lee (2015) point out that the majority of existing literature on
agricultural technology adoption is focused on Green Revolution (GR) technologies
such as irrigation, fertilizer use, and the adoption patterns of high-yield
variety (HYV) seeds. Due to the development process of HYV and the inputs
required to make them productive, studies examining HYV adoption look at very
advanced forms of technology; HYV seeds are often the product of intensive
laboratory research, and when they are targeted to farmers they are bundled
with other technology inputs such as chemical fertilizers, pesticides and
extensive irrigation because these are necessary for the HYV seeds to perform
as designed. Because so many studies of agricultural technology adoption and
diffusion focus on HYV and other GR inputs, their findings are concentrated on
a “high-tech” definition of agricultural technology.
However, the association between
most agricultural technology adoption
literature and “high technology” inputs is incidental; it just so happens that
at this point in time, most agricultural technologies being measured are
scientifically advanced. This coincidence should not obstruct the point that a
technology is simply the application of scientific knowledge for a certain end.
A project or a technique can still be considered a technology even if the
science is many steps removed from the eventual implementer. For example, a
project where extension workers encourage farmers to rotate legumes into their
planting cycles is quite “low-tech,” but the chemistry behind the process of
nitrogen fixation is extensive and elaborate. There are many lessons and best
practices that can be learned from existing studies if technology is looked at in broader terms. Gershon and Umali (2013)
define technology as “… a factor that changes the production function and
regarding which there exists some uncertainty, whether perceived or objective
(or both). The uncertainty diminishes over time through the
acquisition of experience and information, and the production function itself
may change as adopters become more efficient in the application of the
technology (Gershon and Umali 2013).
2.8.1 Adoption of Improved Farming Practices
Increasing the efficiency of
agricultural production through agricultural modernization depends mainly on
the extent to which farmers can incorporate improved agricultural technologies
into their farming operations (Neill and Lee 2017). The acceptance or adoption
of new farming technologies takes place overtime (Ani, 2019). Adoption of an
improved technology is defined as the degree of use of new technology or the
total application of the technology package when the farmer has full
information about the technology and its potentials (Aniedu, 2007). Generally a
farmer may not adopt a technology unless he/she thinks they will benefit with
the decision about whether or not to adopt a recommended agricultural practice.
Farmers are always keen to experiment with technology that promise to create
favorable outcomes, substantially, increasing production and at the same time
maintaining or improving the environment. Adoption of an innovation involves
the process whereby a prospective farmer is exposed to consider and finally
practices a particular innovation (Mosher, 2018) Adoption process of innovation
can be seen as a mental process that a person passes through starting, first,
fron hearing a new idea to the complete and overall acceptance of the thought
into his behavioral system. Innovation adoption stage is arrived at when the
farmer makes complete and maximum use of practice and incorporates it as
something worthwhile (Bene, et al, 2014).it involves
continuous learning, the opportunities in learning depends on the degree and
category of interaction among the different enterprises, organization and
related sectors, as well as institutional behaviors, and determine the extent
and rate at which information and knowledge are produced, transformed and
utilized (Mytelka,2020). Adoption however, can be described as a decision to
make full use of an innovation or technology as the best course of action
available (Rogers, 2015).he stressed that the process requires a great mental
effort by the farmers before they could decide on whether to use the innovation
or not.
The farmer is thought not certain
about the profitability of the technology. Roger (2019). Observed that prior to
the adoption of new technology by an individual farmer; he or she will follow
an adoption process like awareness, interest, evaluation, trial and adoption.
According to him, for an innovation to be acceptable to the farmers, it must be
economically profitable socially acceptable and technologically visible.
Innovation, therefore, is not only
the product of organized research and development activities undertaken within
the universities and agricultural research and development institute, but
include the enabling environment that encourages continuous learning, creativity
and knowledge flow which facilitate innovation for socio-economic
development(World Bank,2014).Okwu (2015) said that there was a wide
agricultural research system and proven innovations, which are capable of
revamping the farmers‟ agricultural production and national economic
development in Nigeria. Innovation is the process of seeking for development,
adopt, and imitate technologies which are relatively different from previous
ones (Hall and Dijkman, 2016).
Madukwe (2018) viewed the concept of
innovation in the context of agriculture to mean a process whereby farmers and
farms receive and employ agricultural technologies and services which are
relatively new to them even if they are new to their competitors or not.
Madukwe (2018) further identified the following as new crop innovations: use of
chemical herbicides, improve varieties and species of crops, fertilizers
(organic and inorganic) tractor and its associated implements, mulching of
crops, scientific methods of identification and control/treatment of crop
disease/pests, modern irrigation system, modern method of soil preparation
/planting of crops modern method of harvesting/processing/storage of crop
products among others.
The rapid decrease in the soil
fertility as a result of incessant cultivation, soil erosion and environmental
degradation coupled with ever increasing human population and its pressure on
available land space, low yield of crop emanating from traditional methods of
farming have provided the urgent needs for farmers to adopt new agricultural
innovation. Farmers are apprehensive about adopting new farming practices or new
crops. This is largely based upon an adherence to traditional, sometimes dating
back several generations. Farmers must be shown proof that new practices will
result in a better standard of living before they risk their family wellbeing-
which is often directly influenced by their crop yield. As such, the major
challenge for the adoption of new practices is one of education and trust. An
opportunity exists to employ local youth to help build this trust. Often youth
are attracted to job opportunities in urban centre only to be disappointed by
the dismal living conditions and decrease in living standards.
In order to prevent this “brain drain” and at the same time, reform farming
practices, some youth can be encouraged to start a business that sells services
to local farmers. (Torres, 2016) further suggested using a standard camera cell
phone (already common among rural youth), a businessperson can take pictures of
diseased crop and upload that information to a center for analysis. That
analysis and information about solution to treating crop disease can be shared
with local farmers, thereby building trust and dependence. This trust can be
translated in to additional service opportunities, such as the promotion of new
crops, soil testing facility, hybrid seed production, and the lending of
farming equipment (new plough, safer pesticides, etc). Local youth can engage
in “cooperation” type arrangement where best practice can be shared amongst
them to increase the overall yield of farmers within a larger area.
2.8.2 The Adoption Process for Mechanization
When reviewing the process of
applying labour-saving (or labour productivity enhancing) innovations in
agriculture, it is a serious but frequently made mistake to assume that this
can be achieved only through applying mechanical engineering technology. In
this context, nine different stages in the process of enhancing labor
productivity may be distinguished (Rijk 2019):
Stage I: Application of improved Hand tool
Technology. This process started in prehistoric times when early
civilizations developed stick and stone tools which were the only means to
enhance labor productivity. In many parts of the world, hand tools are the only
technology used in agriculture, and even in highly mechanized agricultural
systems, improved hand tools are still important.
Stage II:
Draft animal power application. At
this stage animal muscle power is substituted for human power, a process which
already started in ancient civilizations. A large variety of implements and
machines have been developed which use animals as the principal power source.
Stage
III: Stationary Power Substitution.
Mechanical power is substituted for human and animal power, used in stationary
operations. Stationary operations are mechanized first because motive power
sources required to move across the field are technically more complex and
therefore require higher investment. Typically, operations mechanized at this
stage are paddy dehusking, grain milling, pumping water, and threshing.
Stage IV:
Motive Power Substitution. At this
stage, substitution of mechanical power for muscle power takes place for field
operations. It focuses on power-intensive field operations (for example,
plowing), and machinery is of relatively simple design, and easy to operate.
Mechanization is still straightforward, and crop production practices are
usually unchanged. At Stage III and IV,
mechanization takes advantage of lower costs of new power sources as compared
with traditional ones.
Stage V: Human Control Substitution. At this
stage the emphasis is on substitution of the human control functions. Depending
on the complexity of the control function and the degree of its mechanization,
machinery becomes increasingly complicated and costly. A potato lifter is
simple in design, but fruit and cotton harvesting machinery are complex and
expensive.
Stage VI:
Adaptation of Cropping Practices. This
stage features the adaptation of the cropping system to the machine. For
example, removing weeds in broadcast crops cannot be done
with machines but row seeding and seed drills may be introduced to facilitate
mechanization of weeding. Other examples include the increase in row distance
to accommodate heavier and larger machinery to speed up field operations.
Stage
VII: Farming System Adaptation. The
farming system and production environment is changed to facilitate further
increase in labour productivity and to benefit from economies of scale,
necessary to make the investment in expensive machinery financially feasible.
An example of this is the rapid decline of mixed farming systems in Europe
since the late 2000s when farmers specialized in either, dairy, poultry, hog,
or crop production. Some crops which are difficult to mechanize may disappear
if acceptable substitutes become available, or if these can be produced in
countries with low labor costs. At this stage, investments in land development,
land consolidation, and rural infrastructure are often needed to facilitate
advanced degrees of mechanization.
Stage
VIII: Plant Adaptation. This stage
features the adaptation of the plant and animal to the mechanization system.
Mechanization has advanced to a stage where engineering alone can no longer
provide further gains in labor productivity. Breeders increasingly take into
account the suitability of new varieties for mechanized production.
Stage IX:
Automation of Agricultural Production.
This stage is progressing in countries with high labor costs and sophisticated
demands on production and quality. Examples are automated rationing of
concentrate feeding for individual dairy cows based on their milk production,
and sprinkler irrigation systems activated by soil moisture.
2.9 Crop Production
Crop
production is a complex business, requiring many skills (such as biology,
agronomy, mechanics, and marketing) and covering a variety of operations
throughout the year. The term crop production
refers to the growing of staple food crops, fruits, nuts as well as other food produce and commercial crop. Growing crops for food was one of the first priorities of
the earliest settlers arriving in North America. With shipboard supplies
depleted, and having little familiarity with the land and native vegetation,
groups arriving from Europe were quickly forced to learn to produce crops to
ensure their survival. The stories of Native Americans teaching the settlers to
plant and fertilize a corn crop are part of this country’s kelore.
In the era of Thomas Jefferson
(arguably the most illustrious farmer that this nation has produced), farmers
made up about 90% of the work force. As late as 2015, almost 40% of the labor
force was engaged in producing crops and livestock for food, feed, and fiber.
Now, with less than one percent of our population claiming farming as a
principal occupation, most U.S. citizens have little or no crop production
experience (Amadi, 2012)
Corn: The United States is, by far,
the largest producer of corn in the world. Corn is grown on over 400,000 U.S. farms. In 2000, the U.S. produced
almost ten billion bushel of the world’s total 23 billion bushel crop. Corns
grown for grains accounted for almost one quarter of the harvested crop acres
in this country. Corn grown for silage accounts for about two percent of the
total harvested cropland or about 6 million acres. The amount of land dedicated
to corn silage production varies based on growing conditions. In years that produce weather unfavorable to high corn grain yields, corn
can be “salvaged” by harvesting the entire plant as silage
According to the National Corn
Growers Association, about eighty percent of all corn grown in the U.S. is
consumed by domestic and overseas livestock, poultry, and fish production. The
crop is fed as ground grain, silage, high-moisture, and high-oil corn. About
12% of the U.S. corn crop ends up in foods that are either consumed directly
(e.g. corn chips) or indirectly (e.g. high fructose corn syrup).
Soybeans: Approximately 2.8 billion
bushels of soybeans were harvested from almost 73 million acres of cropland in the U.S. in 2000. This acreage is roughly
equivalent to that of corn grown for grain. Over 350,000 farms in the United
States produce soybeans, accounting for over 50% of the world’s soybean
production and $6.66 billion in soybean and product exports in 2014. Soybeans
represented 56 percent of world oilseed production in 2000.Soybeans are used to
create a variety of products, the most basic of which are soybean oil, meal,
and hulls. According to the United Soybean Board, soybean oil, used in both
food manufacturing and frying and sautéing, represents approximately 79 percent
of all edible oil consumed in the United States. Soybean oil also makes its way
into products ranging from anti-corrosion agents to Soy Diesel fuel to
waterproof cement. Over 30 million tons of soybean meals are consumed as
livestock feed in a year. Even the hulls are used as a component of cattle feed
rations.
Hay: Hay production in the United
States exceeds 150 million tons per year. Alfalfa is the primary hay crop grown in this country. U.S. hay is produced
mainly for domestic consumption although there is a growing
export market. According to the National Hay Association, the most common
exports are timothy, some alfalfa, Sudan grass, and Bermuda grass hay. Hay can
be packaged in bales or made into cubes or pellets. Hay crops also produce
seeds that can be used for planting or as specialized grains.
Wheat: Over 240,000 farms in the
United States produce wheat. The U.S. produces about 13% of the world’s wheat and supplies about 25% of the world’s
wheat export market. About two-thirds of total U.S. wheat production comes from
the Great Plains (from Texas to Montana).
Cotton: Fewer than 32,000 farms in the
United States produce cotton. Cotton is grown from coast-to-coast, but in only 17 southern states. Farms in
those states produce over 20% of the world’s cotton with annual exports of more
than $3 billion. The nation’s cotton farmers harvest about 17 million bales or
7.2 billion pounds of cotton each year.
Grain sorghum: In the United States, grain
sorghum is used primarily as an animal feed, but is also used in food products and as an industrial feedstock.
Industrial products that utilize sorghum include wallboard and biodegradable
packaging materials. Worldwide, over half of the sorghum grown is for human
consumption. Some farmers grow sorghum as a hedge against drought
Rice:
Just over 9,000 farms produce rice in the United States. Those farms are concentrated in six states:
Arkansas, California, Louisiana, Mississippi, Missouri, and
Texas. U.S. rice production accounts for just over 1% of the world’s total, but
this country is the second leading rice exporter with 18% of the world market
(Amadi, 2012).
2.10 Factors Influencing Mechanized Farming and
Farm Size Ownership in Nigeria
Increase in population demands
increase in food production on sustained yield basis. The importance of
improved farm technology in the agricultural sector cannot therefore be-over emphasized.
However, it has been reported that rural farmers are sluggish in adopting
improved technology as sold by various extension agents. This may be due to the
sophisticated technologies which some rural development institutions promote.
Hence the projects have no chance of benefiting the generality of the rural
poor. (Beckman, 2017, Nzimiro, 2015, Oculi 2017, Kolawole 2016 and Ariyo 2018).
It is hoped that gradual adoption of improved technology will one day make
possible mechanized agriculture in Nigeria. Using data on methods of farmland
preparation and farm size ownership collected from all the agricultural zones
of Adamawa state of Nigeria, we contend that the rate of mechanized farm
technology is still low and this is an impediment to increased food production
in Nigeria. This calls for a fast approach to turn the country away from
subsistence farming practices.
Adamawa state, having a 70% of her
population as farmers is a good ground for testing the adoption of mechanized
farm technology and increased farm size ownership as a means of improved food
production. The major vegetation formation in the state is the southern guinea
savannah, the northern guinea savanna and the Sudan savanna (Akosimet al
2019). The onset of the rainy season is normally accompanied by strong
devastating wind storms (Amadi 2002). The major food crops
grown in the state include cereals, legumes and root crops; while the cash
crops are mainly cotton, groundnut and sugarcane. (Sajo and Kadams, 2019). The
implication is that since the land and climate favors crop production, with the
adoption of mechanized agriculture, improved production will be sustained in
all these Agricultural Crops, hence, Nigeria can feed the entire Africa.
2.11 Empirical Studies
Amadi (2012).conducted a study
titled factors influencing mechanized farming and farm size ownership in
Adamawa State, Nigeria. The major food crops grown in the state include
cereals, legumes and root crops; while the cash crops are mainly cotton,
groundnut and sugarcane. The implication is that since the land and climate
favors crop production, with the adoption of mechanized agriculture, improved
production will be sustained in all these Agricultural Crops, hence, Nigeria
can feed the entire Africa. Data on method of farmland preparations, farm size
and the infrastructure as put on ground by the Adamawa State Agricultural
Development Programme (ADP) were collected from rural farmers and ADP
management using questionnaires and focus group discussion between 2016 and 2019.
The scope of the oral discussion included availability of tractors, cost of
tractors hiring and the need to increase farm size. The data collected were
subjected tot-test and regression analysis. In order to test whether there is
significant difference in farm size ownership and use of mechanized farm
technology between the periods under review. Regression analysis was used to
identify the conditions that favor mechanized agricultural practices.
Descriptive statistics such as tabular presentation and
percentages were also used. The t-test result showed that there was significant
difference in total farm size ownership among farmers between 2006 and 2009.
The t-calculated value was -2.39948 while the table value was 0.074398. Even
though the number of plots increased substantially per farmer, yet there was no
doubling of farm size in any of the agricultural zones of the state during the
3years. This growth in plot size was low. However, when viewed in line with the
present competition for land by other users, the rate is encouraging. One of
the criteria for measuring the status of rural farmers is their farm size and
from the study, the total farm size owned by the 435 farmers in 2006 was 2,135
hectares and this increased to 3,606 hectares in 2009, giving a percentage
increase of 69. The average farm size of rural farmers in 2006 was 4.9
hectares, and this also increased to about 8.3 hectares in 2009. The regression
analysis for farm size shows that farm size is negatively related to road
construction and maintenance, wash bores and extension agents, and positive
related to culvert, tube wells, water pumps and loan. The implication is that
increase in irrigation facilities and loan, lead to increases in farm size of
rural farmers, which in turn motivates farmers to adopt mechanized farm
technology. The t-test on improved technology use shows that there is a
significant difference in the use of tractors for land preparation among
farmers between 2016 and 2019. The t-calculated value is -2.49953, while the
table value is0.0668.Regressionanalysis for farm technology showed that tube
wells, loan and extension were positively related to farm technology use. In
2006, 22.3 percent of the farmers used tractors for land preparation, this
increased to 42 percent in 2019. The present study is
similar with the past as both used regression analysis as a statistical tool,
descriptive statistic involving frequency distribution as used in the past
research was also used in the present study. However the two differed in
location of the study, the former was carried out in Adamawa State, while the
later was carried out in Zing Local Government Area. Equally sample of three
hundred and sixty-eight contact farmers were used in the present study, while
the former study used four hundred and thirty five farmers as samples for the
study. T-test was used on improved technology use which showed that there was significant
difference in the use of tractor for land preparation among farmers between
2006 and 2009 in the past research, while the present did not use t-test.
2.12 Summary of Literature Reviewed
The
Theoretical background to this study is based on the theories of social changes
which stipulated that society’s exhibited 2 kinds of forces: Those which seek
to promote change and those that strive to maintain the status quo. The essence
of human life is change, development and growth. However, the process of change
involves interaction with the forces which are elements of change. The process
of integrating these ideas will provides a sort of road maps towards adoption
of new ideas which will provide solution to present challenges and prevent
obstacles to the realization of objectives. Agricultural mechanization has been
reviewed from different author’s point of view simply to mean the use of
machine to accomplish a task or an operation involved in
agricultural production. It also includes reduction of human drudgery and
efficiency of various agricultural operations as well as bringing more land
under cultivation and preserving the quality of agricultural products, thereby
providing better rural living conditions and markedly advancing the economic
growth. Several advantages are associated with the mechanization of
agricultural farm operations, which includes; increased area under cultivation
and number livestock reared per head, timeliness of operation, increased
productivity, labour saving, reduced drudgery, reduced human hazards,
discourages unsustainable cultural practices, increases farm revenue, improved
quality of farm produces, large-scale production increased output,
specialization of labour and cooperation through clustering.
History revealed that agricultural
mechanization started in Nigeria as far back as 2012. From then various animal
drawn implements were introduced into the Nigerian agriculture, followed by the
use of mechanical power sources in the 2000s. Since then there was a rising
demand for tractor/power tillers. The impacts of equipments and power on
agriculture are positively correlated. Roles of agricultural mechanization were
also reviewed, to increase the farm output per human hour and to reduce
spoilage, waste and other losses of agricultural produces. He added that, land
abandoned because of inappropriate use or inadequate capability to use can be
reclaimed through mechanization.
CHAPTER THREE
RESEARCH DESIGN AND METHODOLOGY
This chapter describes the
methodology for conducting the study under the following sub-headings:-
3.1 Research Design
Descriptive
survey research design was used for this study.
3.2 Population for the Study
The population for this study
comprised of Contact Farmers in the five Agricultural Development Zones in Zing
Local Government Area.
3.3 Sampling Size and Sampling Procedure
Multi-stages sampling technique was
employed for this study. The first stage involved a purposive selection of two
Agricultural Development Zones, one from each zone. The second stage involved a
purposive selection of 10 Extension Blocks from each of the selected ADP Zones
making a total of 20 Extension Blocks. The third stage involved a proportionate
random selection of 368 contact farmers from the 20 extension blocks with
reference to Krejcie and Morgan (2000) sample size determination for a research
study. These constituted the sample for the study. A “Hat drawn” technique was
used in selecting the individual sample.
3:4 Instruments for Data Collection
For the data collection, a structured
questionnaire was used. The questionnaire was divided into six sections-A, B,
C, D, E and F. The questions in each section were designed to provide data that
was used to answer research questions I, II, III, IV and V. The questions were
based on the objectives, research questions and null hypotheses of the study to solicit for responses. Section “A” consisted of Nine
questions on farmers demographic data, section „B‟ consisted of nine questions
to provide data to answer research question one, section „C‟ consist of seven
questions to provide data to answer research question two, while section „D‟
consisted of nine questions to provide data to answer research question three
section “E” consist of six questions to provide data to answer research question
four and section “F” consisted of five questions to provide data to answer
research question five. In all the sections, the respondents were required to
tick the best answer of his/her choice from the options that follow each
question. For options: Strongly Agree (SA), Agree (A), and Disagree (D)
Strongly Disagree (SD). Points will be allocated as:-
Option |
point |
|
Strongly
Agree |
4 |
|
Agree |
3 |
|
Disagree |
2 |
|
Strongly
Disagree |
1 |
3.4.1 Validating of the Instrument
In order to ascertain the validity
of the instrument, the researcher gave the draft copy of the designed
questionnaire to three experts in the Department of Vocational and Technical
Education for vetting. Based on their expert advice, a final copy was produced.
This is in conformity with the opinion of Afolabi (2018) that validation of the
instrument by experts is an important and acceptable type of validation.
3.4.3 Reliability of the Instruments
The data collected from the Pilot
study were subjected to reliability testing to determine the reliability
coefficient and the internal consistency. Cronbach Alpha statistics, which
measures the internal consistency of an instrument, was used. The result gave a
coefficient of the internal consistency of 0.781 alpha levels which was
significant. This is in line with the view of Olayiwola (2007) who stated that
a reliable test will have a high reliability coefficient close to positive one
(+1). Therefore, the instrument with 0.781 internal consistency coefficients is
considered reliable for gathering data.
3.5 Procedure for Data Collection
The researcher with the help of the
zonal extension officer in each of the two ADP Zones, employed the services of
20 village extension agents (VEA); one to each of the 20 selected extension
block to serve as trained research assistants in the administration of the 368
copies of the questionnaire to the 368 respondents that is, contact farmers
during their farm and home visits. Random selection using “Hat drawn techniques
was used “YES” and “NO” were written on a pieces of paper and those that picked
“YES” were given questionnaire. The research assistant
explained the questions to the respondents and the respondents filled in the
questionnaire, while the research assistant collected back the filled
questionnaire immediately after completion. It took four weeks to be
accomplished.
3.6 Procedure for Data Analysis
The researcher used frequency count
and percentages to analyse the demographic data of the respondents in section
A. The mean of the responses were used to answer the research questions. All
items that had mean responses of 2.50 were considered as “Agree” and those that
had mean rating of less than 2.50 were considered as “Disagree”. Chi Square was
used to test the null hypothesis at 0.05 level of significance. Where
significant (P) was less than 0.05, the relationship or influence is
significant otherwise it is not significant. In other word, if the P value is
equal or greater than 0.05, the null hypothesis was retained otherwise it was
rejected.
CHAPTER
FOUR
PRESENTATION
AND DATA ANALYSIS
This chapter presented and analyses
the data collected during the conduct of the study .Out of three 368 copies of
the questionnaire administered to the respondents, 362 were duly filled and
returned. Details of the results were shown under the following sub-headings;
4.1 Bio-data of the respondents
4.2 Answers to the Research
Questions
4.3 Testing of Null Hypotheses
4.4 Discussion of Findings
4.5 Summary of Major Findings
4.1 Bio-Data of the Respondents
This section analysed the bio-data
of the respondents with regards to age, sex, highest educational qualification,
farmers‟ annual income, farm size in hectares, average yields of crop
cultivated, numbers of years of farming experience and source of income as
shown in Table 4.1.
Table 4.1
Bio-Data of the Respondents.
|
Variables |
Frequencies |
Percentage (%) |
|
Age (in
years) |
|
|
|
18-25 years |
62 |
17.1 |
|
26-35 years |
114 |
31.5 |
|
36-45 years |
90 |
24.9 |
|
46 and above |
96 |
26.5 |
|
Total |
362 |
100.0 |
|
Sex |
|
|
|
Male |
298 |
82.3 |
|
Female |
64 |
17.7 |
|
Total |
362 |
100.0 |
|
Educational
Qualification |
|
|
|
No formal education |
144 |
39.8 |
|
Primary education |
92 |
25.4 |
|
Secondary education |
76 |
21.0 |
|
Tertiary education |
50 |
13.8 |
|
Total |
362 |
100.0 |
|
Farmers
annual income |
|
|
|
Less than N15,000 |
102 |
26.2 |
|
N15,000-N25,999 |
83 |
22.9 |
|
N26,000-N50,999 |
88 |
24.3 |
|
Above N51,000 |
89 |
24.6 |
|
Total |
362 |
100.0 |
|
Farm
size in hectares |
|
|
|
Less than 5 |
104 |
28.7 |
|
5-15 |
193 |
53.3 |
|
Above 15 |
65 |
18.0 |
|
Total |
362 |
100.0 |
|
Average
crop yield in Kg |
|
|
|
Less than 1,000 |
77 |
21.3 |
|
1,001-5,000 |
105 |
29.0 |
|
Above 5,000 |
180 |
49.7 |
|
Total |
362 |
100.0 |
|
Years
of farming experience |
|
|
|
Less than 5 |
82 |
22.7 |
|
5-15 |
126 |
34.8 |
|
16-25 |
109 |
30.1 |
|
Above 25 |
45 |
12.4 |
|
Total |
362 |
100.0 |
|
Source
of income |
|
|
|
Sales of crop |
180 |
49.7 |
|
Salary |
18 |
5.0 |
|
Sales of livestock |
109 |
30.1 |
|
Others |
55 |
15.2 |
|
Total |
362 |
100.0 |
Table 4.1 showed bio-data of the
respondents. From the Table, it was found that majority 266 (56.4%) of the
farmers were of the youthful working age between 26-45 years of age, with
regards to sex, 298 (82.3%) of the respondents were male, With regards
educational qualification, 236(65.2%) of the respondents did not go beyond
primary education. 273(75.4%) of the farmers were poor had less than N51, 000
as their annual income. Farm size of less than 15 hectare were cultivated by
most of the farmers in the study area with an average yields of not exceeding
5,000kgs and majority 317(97.6%) were less than 25 years in farming.
4.2 Answering Research Questions
The objective of this study was to
determine the influence of agricultural mechanization on crop production in
Zing Local Government Area . In order to achieve this, five research questions
were stated. Thirty-six questionnaire items were raised and administered to respondents
in order to collect data for the study. The data collected were used to answer
the research questions and tested the five null hypotheses as presented in the
subsequent paragraphs.
4.2.1 Research Question 1: What is the influence of
agricultural mechanization on crop yield per hectare of farmers in Zing Local
Government Area?
In order to answer research question
one, nine questionnaire items were collected and from it, the mean were
calculated from the frequency distribution of the respondents. The result of
the computation is shown in Table 4.2.1 while the summary of the raw data are
in Appendix III.
Table4.2.1 Mean Responses on Perception
of Influence of Agricultural Mechanization on Farmers’ Crop Yield.
N ═ 362
|
S/NO |
ITEMS |
|
|
|
|
MEAN |
S.D |
REMARK |
|
1 |
Adoption |
of |
mechanized |
land |
2.81 |
1.14 |
Agreed |
|
|
|
clearance |
and |
production |
increases |
|
|
|
|
|
|
crop yield |
|
|
|
|
|
|
|
|
2 |
The
use of modern
irrigation system |
3.25 |
.95 |
Agreed |
||||
|
|
increases crop yield |
|
|
|
|
|
||
|
3 |
Mechanized |
processing/milling |
2.85 |
1.13 |
Agreed |
|||
|
|
increases crop yield |
|
|
|
|
|
||
|
4 |
Adoption
of mechanized sowing
and |
2.80 |
1.15 |
Agreed |
||||
|
|
fertilizer |
application
increases |
crop |
|
|
|
||
|
|
yield |
|
|
|
|
|
|
|
|
5 |
Use
of mechanized crop
protection |
3.15 |
.95 |
Agreed |
||||
|
|
chemicals lead to increase in crop yield |
|
|
|
||||
|
6 |
Use of combined harvesters increases |
3.29 |
.88 |
Agreed |
||||
|
|
crop yield |
|
|
|
|
|
|
|
|
7 |
Use of mechanized weeding increases |
3.37 |
.81 |
Agreed |
||||
|
|
crop yield |
|
|
|
|
|
|
|
|
8 |
Adoption |
of |
mechanized |
sprayers |
3.35 |
.82 |
Agreed |
|
|
|
increases crop yield |
|
|
|
|
|
||
|
9 |
Adoption
and usage of
improved |
2.96 |
1.12 |
Agreed |
||||
|
|
(hybrid) seeds increases crop yields |
|
|
|
||||
|
|
Aggregate mean |
|
|
|
3.09 |
|
|
|
|
|
|
|
|
|
|
|
|
|
Decision mean=2.50
Table
4.2.1 revealed that agricultural mechanization had significant influence on the
crop yield per hectare. Aggregate mean
of 3.09 of the respondents‟ responses indicated significant. It was found out
that mean response of 3.37 of the respondents “agreed” that use of mechanized
weeding increases crop yield. Also mean
of 3.35 revealed that adoption of mechanized sprayers increased crop yield.
This was next followed by the use of combined harvesters with a mean value of
3.29.
4.2.2 Research Question 2: What
is the influence of agricultural mechanization on the income capability of crop
producing farmers in Zing Local Government Area?
In order
to answer research question two, seven questionnaire items were collected and
from it, the mean were calculated from the frequency distribution of the
respondents. The result of the computation is shown in Table 4.2.2.
Table4.2.2:
Mean Responses on Perception of Influence of agricultural mechanization on
income capability of farmers.
N
═362
|
|
ITEMS |
|
|
|
MEAN |
S.D |
REMARK |
|
1 |
I was able to invest in other business as |
3.18 |
.85 |
Agreed |
|||
|
|
a result of mechanized crop production |
|
|
|
|||
|
2 |
I was able
to settle some
of my |
3.33 |
.88 |
Agreed |
|||
|
|
outstanding
debts as a
result of |
|
|
|
|||
|
|
adopting mechanized crop production |
|
|
|
|||
|
3 |
I
have money to
spend now from |
2.95 |
1.13 |
Agreed |
|||
|
|
mechanized crop production |
|
|
|
|
||
|
4 |
Adoption |
of |
mechanized |
crop |
3.07 |
1.07 |
Agreed |
|
|
production
has increased my
income |
|
|
|
|||
|
|
and savings |
|
|
|
|
|
|
|
5 |
I was able
to embark on
capital |
3.19 |
1.08 |
Agreed |
|||
|
|
projects like building a house, buying a |
|
|
|
|||
|
|
car/motor cycle etc with mechanization |
|
|
|
|||
|
|
of crop production |
|
|
|
|
|
|
|
6 |
Income
capability of the
farmers is |
3.37 |
.81 |
Agreed |
|||
|
|
higher |
from |
mechanized |
crop |
|
|
|
|
|
production |
|
|
|
|
|
|
|
7 |
Income capability |
of the
farmers is |
2.49 |
1.08 |
Agreed |
||
|
|
low from mechanized crop production |
|
|
|
|||
|
|
Aggregate
mean |
|
|
3.08 |
|
|
|
|
|
|
|
|
|
|
|
|
Table
4.2.2 revealed that the overall mean of the seven items was 3.08 which are
higher than the 2.50 decision. A mean of
3.37 from the Table indicated that agricultural mechanization influenced the
income capability of the farmers, while a mean of 3.33 of
the respondents were in agreement that the farmers were able to settle some of
their outstanding debts as a result of adopting mechanized crop production.
4.2.3 Research Question 3: What is the influence of agricultural mechanization on farm size
cultivated for crop production in Zing Local Government Area?
In order
to answer this research question three, the mean of the nine items from the
questionnaire was calculated from the frequency distribution of the
respondents. The result of the computation is shown in Table 4.2.3, while the
summary of the raw data are in Appendix III.
Table 4.2.3: Mean Responses on Perception of Influence of
Agricultural mechanization on farmer’s size of farm land cultivated.
|
|
|
|
|
|
|
N═ 362 |
|
|
|
|
|
|
|
|
|
|
|
|
|
S/NO |
ITEMS |
|
|
|
|
MEAN |
S.D |
REMARK |
|
1 |
The use of hand tools does not increase the |
3.14 |
.95 |
Agreed |
||||
|
|
size
of farm land
cultivated for crop |
|
|
|
||||
|
|
production |
|
|
|
|
|
|
|
|
2 |
hand tools technologies do not increase the |
3.25 |
.90 |
Agreed |
||||
|
|
size of farm land cultivated by the farmers |
|
|
|
||||
|
|
for crop production |
|
|
|
|
|
||
|
3 |
Use of animal traction increases the size of |
3.11 |
.97 |
Agreed |
||||
|
|
farm land for crop production |
|
|
|
|
|
||
|
4 |
Adoption
of animal traction
does not |
3.12 |
.96 |
Agreed |
||||
|
|
increase area of land cultivated |
|
|
|
|
|||
|
5 |
Adoption |
of |
mechanical |
techniques |
3.35 |
.81 |
Agreed |
|
|
|
increases the size of land cultivated |
|
|
|
|
|||
|
6 |
The use |
of |
mechanical |
tools |
has |
3.02 |
1.13 |
Agreed |
|
|
encouraged
farmers to generate
more |
|
|
|
||||
|
|
income |
|
|
|
|
|
|
|
|
7 |
Mechanical tools do not lead to increase in |
2.88 |
1.12 |
Agreed |
||||
|
|
the size of farm land cultivated |
|
|
|
|
|||
|
8 |
The size of
farm land cultivated remain |
3.06 |
.95 |
Agreed |
||||
|
|
unchanged
for all forms
of mechanized |
|
|
|
||||
|
|
crop production |
|
|
|
|
|
|
|
|
9 |
Size of farm land cultivated increases for |
3.01 |
1.15 |
Agreed |
||||
|
|
all forms of mechanized crop production |
|
|
|
||||
|
|
Aggregate mean |
|
|
3.10 |
|
|
||
|
|
|
|
|
|
|
|
|
|
Table 4.2.3 revealed that a mean of
3.35 from question three showed that mechanized crop production influence
farmers‟ size of farm land cultivated. Also, mean of 3.25 indicates that hand
tool technologies does not increase the size of farm cultivated by the farmers.
4.2.4 Research Question 4: What is the influence of
socio-economic characteristics of farmers on mechanized crop production in Zing
Local Government Area?
The data collected from the
questionnaire items 26-31 were used to answer this research question. The means
were calculated from the frequency distribution of the respondents. The result
of the computation is shown in Table 4.2.4, while the summary of the raw data
are in Appendix III
Table 4.2.4: Mean Responses on Perception of
influence of socio – economic characteristics on mechanized crop production:
N═362
|
S/NO |
ITEMS |
MEAN |
S.D |
REMARK |
|
|
|
|
||
|
1 |
Family labour which is determined by the house |
3.05 |
.99 |
Agreed |
|
|
hold size influence the adoption of mechanized |
|
|
|
|
|
crop production |
|
|
|
|
2 |
Farmers
norms and values
affect the usage
of |
3.30 |
.84 |
Agreed |
|
|
modern
agricultural equipment for
crop |
|
|
|
|
|
production |
|
|
|
|
3 |
Income
level of farmers
influence purchase of |
2.91 |
1.15 |
Agreed |
|
|
modern implements needed for crop production |
|
|
|
|
4 |
Group
labour discourages mechanized crop |
3.09 |
.97 |
Agreed |
|
|
production |
|
|
|
|
5 |
farmers
farm size influence
the usage of |
3.32 |
.89 |
Agreed |
|
|
mechanized
agricultural tools for
their crop |
|
|
|
|
|
production |
|
|
|
|
6 |
farmers number of years of farming experience |
2.79 |
1.16 |
Agreed |
|
|
influence their mechanized crop production |
|
|
|
|
|
Aggregate
mean |
3.08 |
|
|
|
|
|
|
|
|
Table
4.2.4 revealed the respondents perception on the six items concerning the
Influence of socio – economic characteristics on mechanized crop production. It
was revealed from the Table4.2.4 that a mean of 3.32 indicated that the farmers
farm size influence the usage of mechanized agricultural
tools for crop production. Also a mean of 3.30 from the Table reveals that
farmer‟s norms and values affect the usage of modern agricultural equipment for
crop production.
4.2.5
Research Question 5: What is the influence of agricultural mechanization of
farmers’ standard of living in Zing Local Government Area?
In order to answer this research question, data
collected from item 32-36 of the questionnaire were used. The mean was
calculated from the frequency distribution of the respondents. The result of
the computation is shown in Table 4.2.5, while the summary of the raw data are
in Appendix III
Table
4.2.5: Mean Responses on Perception of Influence of Agricultural Mechanization
on Farmers Standard of Living.
N ═362
|
S/NO |
ITEMS |
|
|
|
|
MEAN |
S.D |
REMARK |
|
1 |
Agricultural |
mechanization |
have |
3.24 |
.88 |
Agreed |
||
|
|
encouraged |
farmers |
to |
have |
better |
|
|
|
|
|
nutrition |
|
|
|
|
|
|
|
|
2 |
Agricultural |
mechanization |
have |
3.32 |
.82 |
|
||
|
|
enabled farmers to have |
better health |
|
|
Agreed |
|||
|
|
facilities |
|
|
|
|
|
|
|
|
3 |
Agricultural |
mechanization |
enable |
3.07 |
1.12 |
Agreed |
||
|
|
farmers to send their children to school |
|
|
|
||||
|
4 |
Agricultural |
mechanization |
have |
3.11 |
.95 |
Agreed |
||
|
|
enable better housing |
|
|
|
|
|
|
|
|
5 |
Agric enable
al farmers have luxury |
3.25 |
.93 |
Agreed |
||||
|
|
items e.g. |
television, |
motor |
cycle, |
|
|
|
|
|
|
motor car and so on |
|
|
|
|
|
|
|
|
|
Aggregate
mean |
|
|
|
3.20 |
|
|
|
|
|
|
|
|
|
|
|
|
|
Table 4.2.5 revealed that a mean of
3.32 showed that agricultural mechanization had positive influence on standard
of living of farmers. It was also revealed from the Table
that a mean of 3.25 of the respondents agreed that mechanized crop production
enabled farmers to have luxury items for example, television, motor cycle,
motor car and so on.
4.3
Testing of Null Hypotheses
The five null hypotheses were tested
using Chi Square statistics. The decision rule is that, when calculated chi
square value is greater than the tabulated or the chi square critical, it means
that there is significant influence between the variables. Therefore, where
significant (p) value is less than (0.05), it is significant otherwise it is
not significant. In other words, if p value is equal or greater than alpha
(0.05), the null hypothesis will be retained otherwise it will be rejected.
4.3.1 Null
Hypothesis 1: There is no significant influence of agricultural mechanization
on crop yield per hectare of farmers in Zing Local Government Area
Table 4.3.1: Chi Square statistics on the Influence
of Mechanized Crop Production on the farmers crop yield in Zing Local
Government Area
|
Variable |
SA |
A |
D |
SD |
Total |
2 |
Df |
2 |
P |
|
|
|
|
|
|
Row |
cal. |
|
critical |
|
|
|
|
|
|
|
|
|
|
||
|
|
|
|
|
|
|
|
|
|
|
|
Total |
1628 |
636 |
681 |
313 |
3258 |
252.635 |
24 |
36.415 |
0.000 |
|
column |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
![]()
![]()
Table 4.3.1 Chi Square test
statistics showed that there was significant influence of mechanized crop
production on farmer’s crop yield per hectare in Zing Local Government Area .
This is because the calculated chi square value of 252.635 is greater than the
critical Chi Square value of 36 at df 24, while the calculated p value of 0.000
is lower than the 0.05 alpha levels of significance.
Consequently the null hypothesis, which stated that there is no significant
influence of mechanized crop production on farmers crop yield in Zing Local
Government Area is hereby rejected and
the alternate hypothesis which stated that mechanized crop production
significantly influences farmer‟s crop yield in Zing Local Government Area is hereby accepted and retained.
4.3.2 Null Hypothesis 2: There is no significant influence of
agricultural mechanization on the income of crop producing farmers in Zing
Local Government Area .
Table 4.3.2: Chi Square statistics on the Influence
of Mechanized Crop Production on Income capability of farmer in Zing Local
Government Area
Chi-Square Test
|
Variable |
SA |
A |
D |
SD |
Total |
2 |
Df |
2 |
P |
|
|
|
|
|
|
Row |
cal. |
|
critical |
|
|
|
|
|
|
|
|
|
|
||
|
|
|
|
|
|
|
|
|
|
|
|
Total |
1271 |
446 |
582 |
235 |
2534 |
240.324 |
18 |
28.869 |
0.000 |
|
column |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
![]()
Table
3.3.2 revealed that there agricultural mechanization has significant influence
on the income capability of farmer in Zing Local Government Area . This is
because the calculated Chi Square value of 240.324 is greater than the critical
Chi Square value 28.869 at df 18, while the calculated p value of 0.000 is
lower than the 0.05 alpha level of significance. Consequently the null
hypothesis which states that there is no significant influence
of mechanized crop production on income capability of farmers in Zing Local
Government Area is hereby rejected.
Null Hypothesis 3: There is no significant
influence of agricultural mechanization on farm size cultivated for crop
production in Zing Local Government Area.
Table 4.3.3: Chi Square statistics on the Influence
of Mechanized Crop Production on farmers’ size of farm land cultivated in Zing
Local Government Area.
|
Variable |
SA |
A |
D |
SD |
Total |
2 |
Df |
2 |
P |
|
|
|
|
|
|
Row |
cal. |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
critical |
|
|
|
|
|
|
|
|
|
|
|
|
|
Total |
1614 |
639 |
753 |
242 |
3248 |
199.725 |
24 |
36.415 |
0.000 |
|
column |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
![]()
![]()
Chi Square test statistics on Table
4.3.3 showed that there was significant influence of mechanized crop production
on farmers‟ size of farm land cultivated in Zing Local Government Area. This is
because the calculated Chi Square value of 199.725 is greater than the 36.415
Chi Square critical values at df 24, while the calculated p value of 0.000 is
lower than the 0.05 alpha level of significance. Consequently the null
hypothesis which states that there is no significant influence of mechanized
crop production on farmers‟ size of farm land cultivated in Zing Local
Government Area is hereby rejected.
Null Hypothesis 4:There is no significant influence
of mechanized crop production on socio -economic characteristics of farmers in
Zing Local Government Area
Table 4.3.4: Chi
Square statistics on the Influence of Socio – economic characteristics of
Farmers Mechanized Crop Production in Zing Local Government Area
|
Variable |
SA |
A |
D |
SD |
Total |
2 |
Df |
2 |
|
|
P |
||
|
|
|
|
|
|
Row |
cal. |
|
critical |
|
|
|
||
|
|
|
|
|
|
|
|
|
||||||
|
|
|
|
|
|
|
|
|
|
|
|
|
||
|
Total |
1057 |
438 |
480 |
197 |
2172 |
146.045 |
15 |
24.996 |
0.000 |
||||
|
column |
|
|
|
|
|
|
|
|
|
|
|
||
|
|
|
|
|
|
|
|
|
|
|
|
|
||
![]()
![]()
Table 4.3.4 revealed that there was
significant influence of socio – economic characteristics of farmers on
mechanized crop production in Zing Local Government Area . This is because the
calculated Chi square value of 146.045 is greater than the critical Chi square
value of 24.996 at df 15, while the calculated p value of 0.000 is lower than
the 0.05 alpha level of significance. Consequently the null hypothesis which
states that the socio – economic characteristics of farmers has no significant
influence on mechanized crop production in Zing Local Government Area is hereby rejected.
Null Hypothesis 5: There is no significant
influence of agricultural mechanization on the farmers’ standard of living in Zing Local Government Area
Table 4.3.5: Chi Square statistics on the Influence
of Mechanized Crop Production on the Standard of living of farmers in Zing
Local Government Area
|
Variable |
SA |
A |
D |
SD |
Total |
2 |
Df |
2 |
P |
|
|
|
|
|
|
Row |
cal. |
|
critical |
|
|
|
|
|
|
|
|
|
|
||
|
|
|
|
|
|
|
|
|
|
|
|
Total |
944 |
386 |
382 |
98 |
1810 |
93.166 |
12 |
21.026 |
0.000 |
|
column |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
![]()
Table
4.3.5 of Chi Square test statistics showed that there was significant influence
of mechanized crop production on standard of living of farmers in Zing Local
Government Area . This is because the calculated Chi Square value of 93.166 was
greater than the critical Chi Square value of 21.026 at df 12, while the
calculated p value of 0.000 is lower than the 0.05 alpha level of significance.
Consequently the null hypothesis which states that there is no significant
influence of mechanized crop production on the standard of living of farmers in
Zing Local Government Area is hereby
rejected
4.4 Summary of Major Findings
The following were the findings
of the study;
1. Agricultural
mechanization increases crop yield as mechanized weeding and mechanized
spraying, sowing and fertilizer application among others increases farmers‟
crop yield. The null hypothesis was rejected.
2. Income of
the farmers was higher from mechanized crop production and made them to be able
to settle some of their outstanding debts.
3. There was an increase in the
size of farm land cultivated as a result of mechanized crop production, while use of hand tools does not lead to increase in
the size of farm land cultivated by the farmers.
4.
The socio-economic characteristics of the farmers
influence their mechanized crop production. Farmer’s norms and values as well
as their farm size influence their usage of modern agricultural equipment for
crop production.
5.
Mechanized crop production enabled farmers among others,
to be able to purchase luxury items like television set; a motorcycle etc and
also had improved health conditions of the farming families.
4.5 Discussion of Major Findings
The
discussions on findings are presented in relation to the outcome of the study
and the corresponding research questions.
From the study, it was agreed that
the use of mechanized weeding increases crop yield. Also adoption of mechanized
sprayer, use of mechanical sowing and fertilizer application, use of combined
harvesters, crop protection chemical and use of improved (hybrid) seeds
increase crop yields. The result of the tested null hypothesis using Chi Square
revealed that agricultural mechanization has significant influence on crop
production. This agreed with Are et al (2010) who said that agricultural
mechanization increases output. The findings of the study revealed that
agricultural mechanization has positively influence the income capability of
the farmers. It was also found out that farmers were able to settle their outstanding
debts as a result of adopting mechanized crop production. To buttress this, it
was revealed from the tested null hypothesis that there was a significant
influence of agricultural mechanization on crop production which leads to the
rejection of the null hypothesis. This agreed with Any anwu, et al (2008), that
agricultural mechanization increases the profit margin of the farmers and also
made it possible for the farmers to make use of optimum production period.
Discussion from research question
three revealed that there was a significant influence of agricultural
mechanization on the size of farm land cultivated. Therefore null hypothesis
three which stated that there is no significant influence of agricultural
mechanization on farm size cultivated for crop production in Zing Local
Government Area was thereby rejected. This findings agreed with Are et al
(2010) that agricultural mechanization increased the amount of land to be
cultivated which the traditional crude hand tools cannot solve. It encourages
large scale production of desired produce thereby increasing quality of produce
and economy of scale. Ugochukwu et al (2007) said agricultural mechanization
has led to increase in production and efficiency of farm operations. With
regards to the respondents perception concerning the influence of
socio-economic characteristics on mechanized crop production in objective four,
research question four and null hypothesis four, it was revealed that farmers
farm size influence the usage of mechanized agricultural tools for crop
production. Also, farmers norms and values affects the usage of modern
agricultural equipments for crop production. The tested null
hypothesis revealed that significant influence existed between agricultural
mechanization and socio- economic characteristics of farmers in Zing Local
Government Area; this lead to the rejection of stated null hypothesis.
The study revealed that agricultural
mechanization had positive influence on standard of living of farmers. It was
agreed from the study that mechanized crop production enabled farmers to have
luxury items for examples television, motorcycle, motor cars and so on, and
also an improved health conditions. This agreed with Atala (1980), that
standard of living is the material and impersonal resources which individual
possessed and use to meet their psychological, social conditions or needs.
Anonymous (2011), explained standard of living as a level of wealth, comport,
material goods and necessities available to certain socio-economic class in a certain
geographical area.
CHAPTER FIVE
SUMMARY, CONCLUSION AND RECOMMENDATIONS
This
chapter presented the summary, conclusion and recommendations of this study
under the following sub-headings:
5.1 Summary
5.2 Conclusion
5.3 Recommendation
5.4 Limitation of the Study
5.5 Suggestion for furthers Study
5.1
Summary
The study was conducted to determine
the influence of agricultural mechanization on crop production in Zing Local
Government Area. In order to achieve this, five specific objectives and five
research questions were raised. Five null hypotheses were also formulated.
Descriptive research survey design was used for the study; sample size were 368
from a population of 51,580 contact farmers. The instrument used for the study
was structured questionnaire which was administered by the researcher with the
help of research assistants. Means were used to answer the five research
questions while Chi Square was used to test the null hypotheses. Major findings
of the study showed that;
i.
Agricultural
mechanization increases crop yield as mechanized weeding, mechanized spraying,
sowing and fertilizer application among others increase farmers crop yield. The
null hypothesis was rejected.
ii.
Income of the farmers was higher from mechanized
crop production and made them to be able to settle some of their outstanding
debts.
iii.
There was an increase in the size of farm land
cultivated as a result of mechanized crop production, while use of hand tool
does not lead to increase in the size of farm land cultivated by the farmers.
iv.
The socio-economic characteristics of the farmers
influence their mechanized crop production. Farmer’s norms and values as well
as their farm size influenced their usage of modern agricultural equipment for
crop production.
v.
Mechanized crop production enabled farmers among
others to be able to purchase luxury items like television set, a motorcycle,
and so on. And also had improved health conditions of the farming families.
5.2
Conclusion
Based on the findings of the
study, the following conclusions were made;
Farmer’s crop yields increased with
full adoption of agricultural mechanization in the study area. Crop production
increased through mechanization and resulted in increase in income of the
farmers thereby given room for increased production capacity thereby enabling
the farmers to settle some of their outstanding debts. Crop producing Farmer’s
standard of living improved as a result of mechanized crop production in Zing
Local Government Area.
Based on the findings of the
study and the conclusion drawn, the following recommendations were made:
i.
Mechanized farm tools and equipment should be
provided to farmers in form of subsidy and ensure that it is the right category
of farmers benefit.
ii.
There should be better funding of extension service
programmes so that the extension workers can discharge their duty effectively.
5.4
Limitation of the Study
The
limitation of the study was that the researcher had no control over the
respondents, so choices of responses had some degree of inconsistency this may
be attributed to some reservation on the part of the respondents to reveal
personal opinions. This affected the study in terms of the time taken to
complete it.
5.5
Suggestion for Further Study
The study has the following
suggestion to make:
i.
A similar study of the influence of agricultural
mechanization on crop production should be carried out in other North-east
states of Borno, Taraba, Gombe and Adamawa.
ii.
A comparative study of the influence of mechanized
crop production should be carried out in all the North-east States of Nigeria.
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