Innovation learning platforms have their roots in the agricultural innovation systems (AIS) approach. AIS emphasizes a systems view of agricultural innovations and conceptualizes an innovation system as all individuals and organizations that keep on interacting in producing and using knowledge and the institutional context of knowledge sharing and learning. Research creates knowledge and technology; but innovation process goes further to include putting that knowledge into use.
Une analyse de trajectoires d’innovations agricoles au Bénin observées dans la longue durée permet d’en identifier les facteurs de diffusion à grande échelle. Beaucoup d’innovations passent inaperçues sur de longs tronçons de leur trajectoire, étant endogènes ou impliquant des acteurs non « conventionnels » et pas d’organisations de recherche. Les innovations qui passent à grande échelle sont en fait des faisceaux d’innovations technologiques, institutionnelles ou organisationnelles qui s’enchaînent les unes en réponse aux contraintes des autres.
Le Tuy, province de l'Ouest du Burkina Faso est une région soudanienne à forte pression démographique et pastorale où se posent avec acuité des problèmes de fertilité des sols. Face à la dégradation des ressources naturelles, opter vivre dans son milieu natal et s'assurer une bonne production agropastorale nécessite de la part des acteurs des actions concertées. Le projet Fertipartenaires aide les producteurs de cette province à se concerter, à réfléchir à leurs problèmes, proposer et expérimenter des solutions et les évaluer afin d'améliorer leur sécurité alimentaire.
En el municipio de Tepalcingo, en el estado de Morelos, los productores suelen fertilizar los campos de maíz únicamente con nitrógeno y fósforo, lo cual podría limitar su producción. Esto es ocasionado por la falta de un análisis de suelo. Por otro lado la información, sobre fechas y densidades de siembra optimas al igual que la identificación de los mejores híbridos, esta limitando los rendimientos de la región.
PESA focaliza sus acciones en “Apoyar a las Unidades de Producción Familiar en localidades rurales de alta y muy alta marginación, para incrementar los niveles de producción y productividad de sus actividades agropecuarias, acuícolas y pesqueras…”.
El estudio buscó caracterizar dos elementos complementarios en el subcontinente latinoamericano: i) el surgimiento de políticas públicas específicas para el sector de la AF, y ii) la forma en que las políticas agrarias clásicas afectan ese sector. El documento consta de dos partes. La primera presenta un análisis transversal del conjunto de estudios de caso nacionales y la segunda parte presenta dichos estudios. Los trabajos de síntesis nacional fueron realizados a partir de la aplicación de una guía de análisis común que comportaba cinco bloques: 1.
in the context of the EU-funded JOLISAA (JOint Learning in Innovation Systems in African Agriculture) project, four local innovation processes involving smallholders in Benin were selected for in-depth assessment: innovation in hwedo agrofishing, integrated soil fertility management (ISFM), rice parboiling and soy value chains. Stakeholders directly involved in the innovation process were interviewed.
Within agricultural innovation systems (AIS), various stakeholder groups inevitably interpret ‘innovation’ from their own vantage point of privilege and power. In rural developing areas where small-scale and subsistence farming systems support livelihoods, dominant policy actors often focus heavily on participatory modernization and commercialization initiatives to enhance productivity, access, and quality. However, existing social hierarchies may undermine the potential of such initiatives to promote inclusive and sustainable farmer-driven innovation.
The quest for innovation lies at the heart of European rural development policy and is integral to the Europe 2020 strategy. While social innovation has become a cornerstone of increased competitiveness and the rural situation legitimizes public intervention to encourage innovation, the challenges of its effective evaluation are compounded by the higher ‘failure’ rate implied by many traditional performance measures.
The use of technology in agriculture plays an important role in the production chain cycle, as well as in the improvement of processes and productivity. To develop a model for measuring the technological capacity of family agriculture systems, it is necessary to assess the gaps related to indicators and the technological potentialities of these farmer groups, which are often not considered when they require financial support and do not get enough. Thus, the aim of this study is to identify the indicators used to evaluate the technological capacity of farm systems and agriculture.