3 pages., Online from publisher website., Following a training course in technology stewardship, actors in the Caribbean's agri-food sector are implementing ICT approaches to provide agricultural advice and support to their local communities
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.
Online from publisher website., By embracing modern technology and engaging enthusiastic young people, the work of an NGO in Malawi is extending the reach of agricultural extension across the country.
Hibbs, Amber Campbell (author), Kahl, Daniel (author), PytlikZillig, Lisa (author), Champion, Ben (author), Abdel-Monem, Tarik (author), Steffensmeier, Timothy (author), Rice, Charles W. (author), and Hubbard, Kenneth (author)
Format:
Journal article
Publication Date:
2014-06
Published:
USA
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 140 Document Number: D06056
14 pages., via online journal, The study evaluated the potential of 19 radio stations to promote new or improved agricultural technologies to strengthen agricultural extension services. Key informant interviews were conducted with the station and/or program managers of the selected radio stations. Two female respondents i.e. from UBC Radio, and Impact FM and 17 male respondents from the remaining radio stations were interviewed. The survey used semi structured questionnaire to determine broadcasting languages, radio transmitter capacity, geographical coverage and audience, major programs and scheduling, use of modern ICT, staff capacity and feedback mechanism from the audience as well as experience in agricultural programming using participatory radio campaign. The collected data was analyzed using content analysis. 16 of the radio stations are commercial while the remaining three belong to public, community and religious radio stations. The potential audience of the surveyed radio stations varied from one to ten million. Seven broadcasting languages (English, Luganda, Lugisu, Lusoga, Japadhola, Ateso and Samia) were predominant, while English and Luganda cut across all communities. The estimated number of audience for each radio station varies from one to ten million listeners. The results also indicate that agricultural programs are not a major component of radio program with time allocation for agrictural programs comprising only 15 percent of total time allocation. However, ten radio stations had previous collaboration with international, regional or national NGOs to promote specific agricultural technology. Radio broadcasters of these radio stations had some form of agricultural programming including participatory radio campaign. Building on this experience, it is possible to reach more farmers through radio to strengthen adoption of recommended agricultural technologies.
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.
