13 pages., Article #: 3FEA2, via online journal., A multiple indicators, multiple causes, or MIMIC, modeling framework can be used for analyzing a variety of farmer decision-making situations where multiple outcomes are possible. Example applications include analyses of farmer use of multiple information sources, management practices, or technologies. We applied the framework to analyze use of multiple information sources by beef cattle farmers. We provide measures of how farmer demographics, farm characteristics, and risk attitudes influenced farmer use of information from Extension, producer groups, popular press, the U.S. Department of Agriculture, the Internet, and other farmers. Education and greater willingness to take risk positively influenced information use among the farmers we studied. Our process has implications for broader use within Extension.
Solanki, Surabhi (author) and Verma, Seema (author)
Format:
Conference proceedings
Publication Date:
2019-06
Published:
Elsevier
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 121 Document Number: D11119
Notes:
8 pages., Proceedings of International Conference on Sustainable Computing in Science, Technology and Management., In any country, agriculture plays important role in the prospect of economy and sustainability. As technology grow day by day so it is necessary for the farmer to know about the technology, innovations and take them into practice, so they make strong themselves in terms of economic and sustainability. In this paper discussed the intensity exposure to information and communication technology and its relationship to the characteristics of farmers at different stages of adoption use of information and communication technology for different farm practices and also know the preferences of farmers regarding the use of Information & Communication Technology (ICT). In the continuation of this process conduct the personal interview to collect personal details of farmers as well as farm information that associate them to know about the adoption of information technology. The data collected through personal interview of farmers have been classified, tabulated and analyzed to know how efficiently and effectively information and communication technology disseminate farm information to the farmer.
12 pages., via online journal., In recent years, there has been extensive investment in e-governance throughout the developing world. Still, little is known about the impact of those investments, partly due to a lack of assessment guidance. In this study modified sustainable livelihood framework approach was used for studying impact of the project on farmers. Before and after data was collected from the registered farmers using recall method to assess the impact of the project on all five types of capital (Natural capital, financial capital, human capital, physical capital and social capital). It was found that after implementation of the project, in the category of natural capital, average production and average sold quantity of rice, wheat, pigeon pea, mustard, and green gram has been significantly increased and in the category of financial capital, respondents’ average family income, earning from agriculture and allied sector and benefit from government schemes has been significantly increased and in the category of human capital, average number of training received by respondents and average number of extension contacts made by respondents has been significantly increased and in the category of physical capital, average storage facility has been increased by respondents and in the category of social capital, average number of meetings attended by respondents in Krishi Gyan Kendra has been significantly increased.
Oswald, Fabian (author) and Kalsruhe Institute of Technology
Format:
Dissertation
Publication Date:
2019-04-02
Published:
Germany: Kalsruhe Institute of Technology
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 121 Document Number: D11122
Notes:
196 pages., via institutional depository., Fabin's work is based on Kilimo Media’s work. He sought to investigate how information flow through agricultural radio programs in local languages is structured and whether contemporary theories of science communication are observable in the practice of farm radio through a cross-case study approach. Fabian held qualitative interviews with local actors and group discussions with farmers in Kajiado, Marsabit and Kitui counties and three radio stations Bus radio, Radio Jangwani and Syokimau FM.
8 pages., via online journal., Social media provides huge opportunities and incentives that could ease promotion of agricultural extension, facilitate real-time service delivery and enable wider farmer coverage. Ineffective dissemination approaches, expanding farmer population, low staffing, and aging agricultural extension agents continue to negatively affect the provision of agricultural extension services in Kenya. Despite the social media potential in agricultural communication, lack of awareness and low usage in the rural areas of developing countries have been documented. This study sought to establish the level of social media familiarity among smallholder rural farmers with the aim of exploring the possibility of usage in agricultural extension. The study was undertaken in Thika Sub-County of Kiambu County on 140 farmers through a researcher administered semi-structured questionnaire. Probability-proportional-to-size sampling method was employed to derive the sample size from existing extension farmer groups. Simple random sampling technique was further used to identify the actual respondents from each group. A low level of social media familiarity was established among the farmers with education, age and gender having significant influence. The study recommends awareness creation initiatives to promote social media familiarity with a particular focus on women who form the bulk of the farmers but with the lowest level of social media knowledge.
International: Technical Centre for Agricultural and Rural Cooperation, ACP-EU, Wageningen, The Netherlands
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 153 Document Number: D11614
Notes:
3 pages., Online from publisher., Author addresses "large gap between African extension services ... and the number of farmers being reached." ... "Africa's existing mobile network (currently the second biggest mobile market in the world) could be better utilised to bridge this gap and provide mobile-based agricultural information, advice and support to smallholder farmers."
9 pages., Article # 1RIB4, Via online journal., Food hubs represent a business model through which farmers can collectively market product to access new supply chains and buyers can efficiently access locally sourced foods. Many farmer marketing cooperatives fit within the food hub definition and have existed for decades. Accordingly, much can be learned from them to support food hub business planning efforts. We developed and synthesized case studies of three successful cooperatives in order to match key food hub operational challenges with recommended best management practices. Such information is useful for Extension education efforts supporting the development of economically viable food hub businesses.
6 pages., via online journal., This research was conducted to find out the influence of agents on the results of empowerment of farmers, the effect of recipients on the results of the farmer empowerment, the effect of agricultural extension on the results of the farmer empowerment, and the influence of agents, recipients, and agricultural extension on the results of farmer empowerment. This research was carried out in May to July 2017. Quantitative descriptive method was applied by using primary and secondary data. Primary data obtained from interviews with 24 respondents who applied integrated crop management technology (PTT) on paddy fields. Technique of interview was guided with questionnaires while secondary data was taken from some literature work and relevant agencies. The results showed that: there is positive and significant influence between the agents and farmer empowerment, there is positive and significant influence between the recipients on the farmer empowerment, there is positive and significant influence between agricultural extension on the results of the farmer empowerment, and there is positive and significant influence between the agents, recipients, and agricultural extension on the results of farmer empowerment.
