The Farmer Business School (FBS) is a participatory, action learning process focused on product and business development, and like the Farmer Field School, is a complex, multi-dimensional innovation with the potential to benefit large numbers of farming households economically, socially and institutionally. Scaling this approach requires rethinking both innovation and scaling.
This chapter tries to establish a connection between the low level of innovation and inventions in Africa and the absence of indigenous knowledge in teaching, learning and research across the continent. It starts by exploring the fundamental tenets of innovation and proceeds to look at the relationship between innovation and indigenous knowledge.
An 'Outcome Mapping' approach was applied retrospectively to five diverse, highly collaborative research projects aimed at poverty reduction. Designed to help plan for, clarify, and document intended and actual changes in behaviour, actions, and relationships of groups and organisations that directly influence a project's intended beneficiaries, Outcome Mapping enabled the authors to identify and describe the strategies and actions that played important roles in the innovations achieved.
This paper identifies market failures that limit agricultural R&D for Africa and other resource-poor environments, and proposes a way to complement existing institutions with cash prizes for the dissemination of successful new technologies adopted by low-income farmers. The proposed prize institution would use agronomic experiments and farm surveys to document the value of innovations after their initial diffusion, and offer payments in proportion to estimated social benefits in target regions.
Scientific researchers’ increasing demand for knowledge service under the new situation, makes it urgent to embed information service into user research process, ad build an incorporate knowledge platform that integrates knowledge, skills, tools, and services of certain professional field. This paper put forward the technical solution of agricultural domain knowledge service platform based on ontology, including resource organization based on ontology, platform design and development.
This article starts by describing the evolution of innovation in agricultural research and cooperation for development, including an historical overview of agricultural research for development from green revolution to the re-discover of traditional knowledge. Then the authors analyze participation in innovation processes and make a comparison of innovation systems and platforms targeting the agri-food sector in developing countries. A particular focus is reserved to the European regional networks and to the experience of the USAID Middle East Water and Livelihoods Initiative.
This paper evaluated the implementation of an initiative for promoting risk-based approaches to improve food safety management in Vietnam. A Taskforce of Risk Assessment for Food Safety (Taskforce) was formed and consisted of researchers working on risk assessment and food safety, and representatives of the related ministries of Health and of Agriculture. We used the OECD Development Assistance Committee Evaluation Criteria as a framework for assessing the impact of the Taskforce with five evaluation areas – relevance, effectiveness, efficiency, impact and sustainability.
This presentation describes the sucessful experiences of capacity development for livestock production carried out in Vietnam and Cambodia. This seminar was presented in the 15th International Symposium of Veterinary Epidemiology and Economics in November, 2018. The presentation discuss about transnational research in food safety in low-and middle-inmcome countries (LMIC), the importance of bridging institutions and policies and the reached achivements
Under the guidance of the agricultural system theory, operational research theory and decision-making support system theory, the regional agricultural development decision support system (RADDSS) was developed in this study ,in which different analysis method and models was integrated. By providing data, right models and analysis methods, RADDSS can assist decision-makers and administrators to solve half-structured and unstructured problems, improving level of management on agriculture. The agriculture in Xuchang has been analyzed using the system constructed in this study.