16 pages., via online journal., Organic farming is knowledge intensive. To support farmers in improving yields and organic agriculture systems, there is a need to improve how knowledge is shared. There is an established culture of sharing ideas, successes and failures in farming. The internet and information technologies open-up new opportunities for knowledge exchange involving farmers, researchers, advisors and other practitioners. The OK-Net Arable brought together practitioners from regional Farmer Innovation Groups across Europe in a multi-actor project to explore how online knowledge exchange could be improved. Feedback from the groups was obtained for 35 ‘tools’, defined as end-user materials, such as technical guides, videos and websites informing about practices in organic agriculture. The groups also selected one practice to test on farms, sharing their experiences with others through workshops, exchange visits and through videos. Farmers valued the same key elements in face-to-face exchanges (workshops and visits) as in online materials. These were the opportunity for visual observation, deeper understanding of the context in which a practice was being tried and details about what worked and what did not work. Videos, decision support tools and social media can provide useful mechanisms for taking knowledge exchange online, enabling farmers and researchers to share experiences and practical implications. Visual information, economics, details of the context, successes and failures were considered to be critical factors in good knowledge exchange tools. Online platforms and forums should not be expected to replace but rather to complement face to face knowledge exchange in improving organic farming.
19 pages., Article 3945, Via online journal., Information communication technology (ICT) has changed the traditional agricultural extension service mode worldwide. This paper examines the effects of the Rural Distance Education Project (RDEP) on the household income, agricultural productivity, and off-farm employment of farmers in peri-urban areas in Beijing. Using the survey data of 783 randomly selected farm households from 54 villages in three Beijing peri-urban districts in 2014, and the propensity score matching method (PSM), we find that the RDEP has a significant and positive effect on agricultural productivity and input use. Meanwhile, the program’s effects are heterogeneous across districts and households. For example, the RDEP has significant impacts on several outcome indicators, such as agricultural labor productivity (at a 5% level of significance), agricultural land productivity (at a 10% level), and input use intensity (at a 1% level) in Tongzhou (an agriculturally more important district, with a more intensive RDEP usage), but none of these effects is significant in Pinggu district. Furthermore, the RDEP is found to have bigger, and statistically more significant effects, for households with junior high school education than for those with either lower or higher than junior high school education. Furthermore, the RDEP is more effective for households with more assets than those with fewer assets. These results point toward the importance of using a rural distance education program as an effective extension service, and the need to take community and individual characteristics into account in the implementation and design of future programs.
9 pages., via online journal., Mobile apps such as social media have friendly attributes and unbiased usage across gender and age; and have become one of the most promising channels for dissemination of agricultural information. The current sources of agricultural information available to farmers do not allow a two-way flow of information and instant feedback. The information disseminated using such channels are generally not customized to specific farmers’ needs. Despite the availability of various mobile apps providing agricultural information, the adoption rate is too minimal. The aim of this study was to determine the usability attributes of social media influencing its adoption and use. A semi-structured questionnaire was used to collect data from a sample of 149 respondents. The respondents were selected through purposive sampling technique from a population comprising of farmers, extension staff, lecturers and students enrolled in agricultural courses participating in the Farm Attachment Program of Egerton University. Data collected was analysed using Statistical Packages for Social Sciences (SPSS) and probit regression was used to analyse expected probability of social media adoption. The findings indicate that the main usability attributes of social media are Ease of use, usefulness, credibility, flexibility and Internet availability. Mobile apps being used to disseminate agricultural information should incorporate some of the usability attributes that have significantly influenced the adoption and use of social media to enhance its uptake and use.
