THE INFLUENCE OF EXTENSION AGENTS' FARM VISITS ON THE ADOPTION OF IMPROVED FARMING TECHNOLOGIES (A CASE STUDY OF SMALLHOLDER FARMERS IN OKOLO COMMUNITY, IBARAPA EAST LGA, OYO STATE)
Get complete chapters, abstract, references and questionnaire delivered to your WhatsApp or email.
CHAPTER ONE
INTRODUCTION
1.1 Background of the Study
Improved seeds, fertilisers, agronomic practices and pest control methods
can raise farm output, but they benefit farmers only when farmers adopt them.
In developing countries, the main institutional channel for taking such
technologies from research to the farm is agricultural extension. Extension
agents use several methods, including demonstrations, group meetings, mass
media and, most directly, visits to individual farms and homes. The farm visit
is a face-to-face method in which the agent meets the farmer on the farm, sees
the actual problems, and gives advice that fits the farmer's situation.
Regular visits have a long history in extension design. The training and
visit system, which organised extension around scheduled contact between agents
and farmers, was promoted widely by the World Bank and studied in India by
Feder and Slade (1986). Anderson et al. (2006) later reviewed its rise and
fall, and Anderson and Feder (2004) examined the strengths and weaknesses of
extension systems more generally. The lesson from this literature is that the
frequency and quality of contact between agents and farmers cannot be taken for
granted, and that the cost of maintaining regular visits is high.
Studies in Nigeria show that farmers value visits. In the adopted
villages of the National Agricultural Extension and Research Liaison Services
(NAERLS) in Kaduna State, farm and home visits were the extension method most
preferred by farmers (81.4%), and 80% of respondents said they understood
messages best when they were delivered face to face (Abubakar et al., 2022). In
Oyo State, Ogunwande et al. (2018) found that farming households that had
extension contact were technically more efficient than those without it. In
Ondo State, Adebo and Ewuola (2006) reported that farmers were trained by
extension agents through several channels, including farm and home visits, and
that the timeliness and medium of training affected the level of adoption of
improved practices. Obayelu et al. (2018) studied the adoption of improved
maize technologies in Oyo State and concluded that more awareness of the
technologies through extension agents and social networks was needed to raise
adoption.
Okolo community in Ibarapa East Local Government Area is one of the
villages listed as a NAERLS adopted village in Oyo State (Onagwa, 2016). The
Adopted Village Scheme was introduced to the National Agricultural Research
Institutes in 2009 so that villages near the institutes could serve as
laboratories for showcasing improved technologies (Oduehie et al., 2018). In
such a community, visits by extension agents are expected to be one of the main
ways in which technologies reach farmers, which makes Okolo a suitable place to
examine the influence of farm visits on adoption.
1.2 Statement of the
Problem
If farm visits are to influence adoption, they must be regular, timely
and relevant. In practice this is often not the case. Irregular visits by
extension agents were the most serious problem reported by farmers in the
NAERLS adopted villages of Kaduna State, cited by 89.5% of respondents
(Abubakar et al., 2022). In the Bida Agricultural Zone of Niger State, about
52.4% of rice farmers had no contact with an extension agent during the year
(Bwala & John, 2018). Orikpe and Orikpe (2013) note that the number of
farmers per extension agent in Nigeria is very high, which makes frequent
visits to every farmer difficult.
Many studies measure extension access broadly, as "extension
contact", and do not separate the effect of farm visits from that of other
channels such as radio, meetings and demonstrations. This makes it hard to know
how much of the adoption of improved technologies can be attributed to visits
themselves. Taye (2013) points out that tracing the causal link between
extension inputs and their results is difficult, which is another reason for
looking closely at one method in one setting.
For Okolo community, there is little documented evidence on how often
farmers are visited, what the agents discuss during visits, and whether farmers
who are visited more often adopt more of the technologies that are promoted.
This study addresses that gap.
1.3 Objectives of the Study
The main objective of the study is to examine the influence of extension
agents' farm visits on the adoption of improved farming technologies among
smallholder farmers in Okolo community, Ibarapa East Local Government Area, Oyo
State. The specific objectives are to:
(i)
describe the socio-economic characteristics of
smallholder farmers in Okolo community;
(ii) determine
the frequency and regularity of extension agents' farm visits to the farmers;
(iii) identify
the improved farming technologies promoted during farm visits;
(iv) determine
the level of adoption of the improved farming technologies among the farmers;
(v)
determine the relationship between the frequency of
farm visits and the adoption of improved farming technologies; and
(vi) identify
the constraints to farm visits and to the adoption of improved farming
technologies.
1.4 Research Questions
The study seeks answers to the following questions:
1.
What are the socio-economic characteristics of
smallholder farmers in Okolo community?
2.
How often and how regularly do extension agents visit
the farmers on their farms?
3.
Which improved farming technologies are promoted during
farm visits?
4.
What is the level of adoption of the improved farming
technologies among the farmers?
5.
Is there a relationship between the frequency of farm
visits and the adoption of improved farming technologies?
6.
What constraints limit farm visits and the adoption of
improved farming technologies?
1.5 Research Hypotheses
The following null hypotheses will be tested at the 5% level of
significance:
H01: There
is no significant relationship between the frequency of extension agents' farm
visits and the adoption of improved farming technologies among the farmers.
H02: The
socio-economic characteristics of the farmers (age, sex, level of education,
farm size, farming experience and membership of farmers' groups) have no
significant relationship with the adoption of improved farming technologies.
H03: There
is no significant difference in the level of adoption of improved farming
technologies between farmers who are visited regularly and those who are
visited rarely or never.
1.6 Significance of the
Study
The study will help farmers in Okolo by showing how the visits they
receive relate to the technologies they adopt, and by identifying the kinds of
visit that farmers find useful. It will also give extension agents and their
organisations, including NAERLS and the state extension agency, information on
how often visits are needed and how limited agent time can be used more
effectively.
Policy makers and programme planners will find evidence to support
decisions on how many agents to recruit, how to schedule their visits, and how
to provide them with the transport and other means they need. Because agent
numbers are small relative to farmer numbers (Orikpe & Orikpe, 2013), such
evidence is valuable for deciding when visits should be complemented by other
methods. The study will also add to the literature on extension delivery and
technology adoption in south-western Nigeria and will be useful to students and
researchers.
1.7 Scope and Delimitation
of the Study
The study is limited to smallholder farmers in Okolo community, Ibarapa
East Local Government Area of Oyo State. It focuses on one extension method,
the farm visit, and on the adoption of improved farming technologies such as
improved seed varieties, recommended planting practices, fertiliser use, weed
control and pest management. It does not compare farm visits with other
extension methods, although farmers' use of other sources of information will
be recorded as a control. The data relate to the most recent farming season.
1.8 Limitations of the
Study
The study was limited by time and finance, which restricted the sample
size and the number of field visits. The number and timing of visits received
are based on farmers' recall and may not be exact. Because farmers who adopt
technologies may also be those who seek out extension agents, the study can
show association but cannot on its own prove that visits cause adoption. As a
case study of one community, its findings should be applied to other areas with
care. The researcher tried to reduce these limitations by using a structured
questionnaire, by asking about a short and clearly defined period, and by
explaining the questions in Yoruba where necessary.
1.9 Operational Definition
of Terms
Extension agent: A trained officer of a public or private
extension organisation whose work is to pass agricultural information and
advice to farmers.
Farm visit: A visit by an extension agent to a farmer's farm or
home for the purpose of giving advice, solving a problem or demonstrating a
practice.
Improved farming technologies: New or recommended inputs and
practices from research, such as improved seed varieties, fertiliser use,
recommended planting methods and pest control.
Adoption: The decision by a farmer to make regular use of an
improved technology after learning about it and trying it (Rogers, 2003).
Smallholder farmer: A farmer who cultivates a small area of land,
mainly with family labour and limited capital.
Adopted village: A community selected by a research institute, in
this case NAERLS, where improved technologies are demonstrated and passed on to
farmers with the help of extension agents.
REFERENCES
Abubakar, M. I., Idrisa,
Y. L., & Pur, J. T. (2022). Preference of extension delivery methods used
in the adopted villages of the National Agricultural Extension and Research
Liaison Services in Kaduna State, Nigeria. Nigerian Journal of Rural
Sociology, 22(1), 16–21.
Adebo, G. M., &
Ewuola, S. O. (2006). Effect of training on adoption of improved farm practices
by farmers in Ondo State, Nigeria. Journal of Agricultural Extension, 9.
Anderson, J. R., &
Feder, G. (2004). Agricultural extension: Good intentions and hard realities. The
World Bank Research Observer, 19(1), 41–60.
Anderson, J. R., Feder,
G., & Ganguly, S. (2006). The rise and fall of training and visit
extension: An Asian mini-drama with an African epilogue (Policy Research
Working Paper No. 3928). The World Bank.
Bwala, M. A., & John,
A. U. (2018). Profitability analysis of paddy production: A case of
agricultural zone 1, Niger State Nigeria. Journal of Bangladesh Agricultural
University, 16(1), 88–92. https://doi.org/10.3329/jbau.v16i1.36486
Feder, G., & Slade, R.
(1986). The impact of agricultural extension: The training and visit system in
India. The World Bank Research Observer, 1(2), 139–161.
Obayelu, A. E., Ogunmola,
O. O., & Ajayi, D. O. (2018). Economic impact and determinants of adoption
of improved maize production technologies package in Oyo State, Nigeria. Journal
of Agricultural Sciences (Belgrade), 63(2).
Oduehie, T. C., Shu'aibu,
H., Adam, A. G., Muhammad, M. B., Ukonu, E. C., Yakubu, D. H., & Mamman, M.
(2018). The effectiveness of the National Agricultural Extension and Research
Liaison Services (NAERLS) Adopted Village Project on beneficiaries' income in
Abia State, Nigeria. International Journal of Agriculture and Development
Studies, 3(2).
Ogunwande, I. O.,
Odefadehan, O. O., & Akinrinola, O. O. (2018). Analysis of agricultural
extension contact effects on rural farming households' productivity in Oyo
State, Nigeria. Journal of Sustainable Technology, 9(2), 1–11.
Onagwa, G. I. (2016). Appraisal
of the communication strategies of the National Agricultural Extension and
Research Liaison Services, Zaria, Kaduna State [Postgraduate thesis, Ahmadu
Bello University, Zaria]. Kubanni Repository.
https://kubanni.abu.edu.ng/handle/123456789/9871
Orikpe, E. A., &
Orikpe, G. O. (2013). Information and communication technology and enhancement
of agricultural extension services in the new millennium. Journal of
Educational and Social Research, 3(4), 155.
https://doi.org/10.5901/jesr.2013.v3n4p155
Rogers, E. M. (2003). Diffusion
of innovations (5th ed.). Free Press.
Taye, H. (2013).
Evaluating the impact of agricultural extension programmes in sub-Saharan
Africa: Challenges and prospects. African Evaluation Journal, 1(1),
Article 19. https://doi.org/10.4102/aej.v1i1.19
This project contains full academic material including literature review, methodology,
data analysis and conclusion.
VERIFIED COMPLETE RESEARCH PROJECT TOPICS AND MATERIALS
69 PAGES
Need a Custom Project Written for You?
Our professional writers can write a unique, plagiarism-free project on any topic in your department — delivered before your deadline.