"Many topics in the participatory training were eye openers. I have learned a good number of techniques that will help me not only in project activities but also in my personal life. And I believe that the acquired skills and knowledge will help me support effective collaboration and dynamic stakeholder networks and local agribusiness partnerships and will help to generate new knowledge by fostering collective learning and joint experimentation.”
Flyer on CDAIS in Bangladesh.
L’approche Champs-Écoles Producteurs (CEP) est introduite au Ghana en 1996, au Niger en 1999 et au Sénégal en 2000 via le projet « Gestion intégrée de la Production et des Déprédateurs (GIPD) » soutenu par la FAO.
The aim of this study was to identify the actors involved in the innovation system producers of corn Mexico Center Region, highlighting the role of the actors of institutional support in adoption of innovations. To do this, 490 corn producers served within the framework of MasAgro 2012 program, in the states of Guerrero, Hidalgo, Puebla, Morelos, State of Mexico and Tlaxcala were interviewed. The degree of adoption of innovations was measured, and using the methodology of social network analysis linking between actors analyzed.
This paper synthesizes Component 2 of the Regoverning Markets Programme. It is based on 38 empirical case studies where small-scale farmers and businesses connected successfully to dynamic markets, doing business with agri-processors and supermarkets. The studies aimed to derive models, strategies and policy principles to guide public and private sector actors in promoting greater participation of small-scale producers in dynamic markets. This publication forms part of the Regoverning Markets project.
In this book, the authors assessed the role of biotechnology innovation for sustainable development in emerging and developing economies. This book compiles studies that each illustrate the potential, demonstrated value and challenges of biotechnology applications for sustainable agricultural innovation and/or industrial development in a national, regional and international context.
This paper has been prepared under the guidelines provided by the TAP Secretariat at the FAO, as a contribution to the G20 initiative TAP, which includes near 40 partners and is facilitated by FAO. Its purpose is to provide a Regional synthesis report on capacity needs assessment for agricultural innovation, with capacity gaps identified and analyzed, including recommendations to strengthen agricultural innovation systems (AIS) and draft policy recommendations to address the capacity gaps.
This publication provides a collection of papers, commentaries, expert opinions and reflections on state-of-the-art innovation systems thinking and approaches in agriculture. It is the direct output of a CTA and WUR/CoS-SIS collaboration which had its genesis in an expert consultation on ‘Innovation Systems: Towards Effective Strategies in support of Smallholder Farmers’.
Innovation system approach offers an holistic, multidisciplinary and comprehensive framework for analyzing innovation process, the roles of science and technology actors and their interactions, emphazing on wider stakeholder participation, linkages and institutional context of innovation and processes. This paper was aimed to: 1. review the concept of innovation system; 2. appraise the application to agriculture and its relevance and 3. analyze the policy implications for agricultural extension delivery in Nigeria.
This paper shows there is a fundamental significance of Social Learning to agricultural innovation, which can be operationalized by framing agricultural innovation as changes in understanding, practices and relationships. The use of Social Learning as a design framework supports the emergence of agricultural innovations that bring equitable benefits, are sustainable and are innovated in context.
El objetivo de esta investigación fue identificar la oferta y demanda tecnológica para plantear alternativas en la innovación de la cadena agroalimentaria de maíz en el estado de Hidalgo, México. Se realizaron las siguientes etapas: 1) caracterización de la cadena; 2) identificación de los factores críticos; 3) distinción de demandas tecnológicas de conocimiento y política; 4) reconocimiento de la oferta tecnológica y 5) cuantificación de proyectos de investigación y política pública.