During May 2010 the International Centre for Tropical Agriculture (CIAT) hosted two events related to knowledge management (KM): The Knowledge Share Fair for Latin America and the Caribbean, funded by the Food and Agriculture Organization of the United Nations (FAO), and a regional meeting of the Knowledge Management for Development (KM4Dev) community. The Fair was attended by 200 professionals from more than 70 organizations and 18 countries and showcased more than 40 experiences related to KM in agriculture, development and food security.
This guide is the second in a series of documents designed to support agencies implementing participatory agroenterprise development program operating within defined geographical areas.
Experiential learning is prevalent in secondary and university agricultural education programs. An examination of the agricultural education literature showed many inquiries into experiential learning practice but little insight into experiential learning theory. This philosophical manuscript sought to synthesize and summarize what is known about experiential learning theory. The literature characterizes experiential learning as a process or by the context in which it occurs.
The Farmer Field School (FFS) approach has been very successful and witnessed a strong expansion in many areas beyond crop production. Notwithstanding this success, the adoption of FFS in national extension often remains problematic and FFS activities have often been implemented in the margin of national institutions with strong reliance on donor funding. The creation of an enabling environment for institutional support is essential for expanding the effort, improving quality, and strengthening impact and continuity of the FFSs.
This research aims to add to the literature new insights about the interaction processes, which are implemented in different interactive extension approaches, by analysing how farmers attending different extension events shape a network of indirect interactions
This paper outlines key areas of intervention that are identified as the core of FAO's strategy on strengthening Agricultural Innovation Systems (AIS) across multiple areas of work (e.g. research and extension, agroecology, biotechnology, green jobs, resourcing etc.) for achieving sustainable rural development.
El proyecto “Alianza para la Creación de Oportunidades de Desarrollo Rural a través de Relaciones Agroempresariales” (ACORDAR) tiene como objetivo contribuir a incrementar los ingresos, asegurar empleo permanente y fortalecer las capacidades comerciales de 5400 familias pobres del área rural en 44 municipios, en alianza con los gobiernos municipales y el sector privado.
Qu’en est-il des « activités non agricoles » ? Peuvent-elles être pensées au-delà d’une perspective de survie ? De la transformation des récoltes à la commercialisation d’artisanat culturel, en passant par le transport routier, la location de téléphone portable ou le conseil en technologies de l’information, les activités non agricoles occupent un éventail très large. Leur utilité est de plus en plus reconnue.
Innovation processes in rural contexts occur in systems that are diverse, coupled with complex challenges. Dealing with complex systems requires an understanding of the social dynamics of actor networks and innovation.This study attempted to provide insights on thecompositional dynamics of actor networks,and how they influenceinteractive learning and innovation among agro-processing enterprises in South Africa. The guiding research questions to help address the study objectives are:What are the structural characteristics of actor networks for innovation in rural contexts?
Este artículo tiene por propósito comparar las redes de compras públicas para la agricultura campesina y familiar en los programas de alimentación escolar de los municipios de Granada (Antioquia-Colombia) y São Lourenço do Sul (Rio Grande do Sul-Brasil) en los años de 2016 y 2017. Para tal fin, se construyó un abordaje teórico-metodológico desde la perspectiva de las redes de política pública, articulado a dos metodologías, el Análisis de Redes Sociales y la comparación de Sistemas de Máxima Diferencia.