Relying on cross-sectional data from 300 smallholder rice farmers, the study examined the effects of agricultural extension on improved rice variety adoption and farm income in northern Ghana. A recursive bivariate probit (RBP) model was used to assess the effect of agricultural extension on adoption while regression with endogenous treatment effect model (RETEM) was adopted to evaluate the effect of agricultural extension on farm income. The results indicate a statistically significant effect of agricultural extension on both adoption and farm income.
There are very few published literature sources that focus on the potential benefits of m-Agri services in Africa and none of which explore their sustainability. This study, therefore, explores the evolution, provision, and sustainability of these m-Agri services in Africa. An overview of the current landscape of m-Agri services in Africa is provided and this illustrates how varied these services are in design, content, and quality.
This chapter demonstrates an experience of implementing an alternative approach, known as participatory communication with strong cultured-centered perspectives. A series of interactive extension or facilitation activities is described. The activities were aimed to conserve rare rice varieties and the unique farming practices in an indigenous community’s areas in the eastern region of Java Island.
The Chinese Government has initiated a series of agricultural reforms since the 1970s to encourage agents to provide more services to farmers. In 2006, a new round of agricultural reforms was extended nationwide; however, the effectiveness of these reforms has not been examined. Based on a comparison of survey data sets before and after the reforms, we found that overall they significantly increased the time agents spend on agricultural extension services, although their effectiveness differs among three major components of the reforms.
Extension Education orientations defined as the degree of willingness to accept profession of academician or trainer to develop different types of extension human resources needed to work as an extension workforce. Extension education is the fundamental academic activity to be undertaken in extension to develop necessary human resources to work as extension educationists, extension workers, extension service provider and extension trainer. Till today there was no any tool to measure the orientation of Postgraduate scholars towards Extension education.
Agricultural extension, as an informal educational system, is one of agricultural development tools that lean on human capitals. Inefficiency of public bureaucracy on the one hand, and managerial problems on the other hand, as well as neglecting real needs of beneficiaries in planning, have determined responsible to transfer administrative tasks to the private sector and reduce government's tenure. This survey was conducted in Kerman as the first ranked province of pistachio production in Iran to investigate attitudes about extension private services among pistachio farmers.
Development education, it combines various methodologies of education to promoting knowledge, so that agriculture sector needs development education to revive productivity through agriculture. ICT (Information communication technology) help to provide knowledge to the door step of farmers.
Agricultural extension in sub-Saharan Africa has often been criticised for its focus on linear knowledge transfer, and limited attention to systemic approaches to service delivery. Currently, the region is experiencing a new-ICT revolution and there are high expectations of new-ICTs to enhance interaction and information exchange in extension service delivery. Using an innovation systems perspective, we distinguish the roles demand-articulation, matching demand and supply, and innovation process management for innovation-intermediaries.
The Colombian Ministry of Agriculture Colombia, an international research center and a national farmers’ organization developed a data-driven agricultural program that: (i) compiles information from multiple sources; (ii) interprets that data; and (iii) presents the knowledge to farmers through the local advisory services. Data was collected from multiple sources, including small-scale farmers. Machine learning algorithms combined with expert opinion defined how variation in weather, soils and management practices interact and affect maize yield of small-scale farmers.
This review paper is based on secondary information. It presents the external (policy, technical assistance, public institutions and the private sector) and internal (institutional structures, objectives/programmes) factors that impact on agriculture development in general in developing countries with special focus on Pakistan. The contents carry the literatures that deal with such factors, starting with discussion on the comprehensive analysis of the role of extension services accompanied by its pros and cons, as well as the meager agricultural services in developing countries.