El municipio de la Palma, Cundinamarca tiene como base de su economía la agricultura y la ganadería, en el cual el cultivo de café es motor de su desarrollo. La Asociación de Caficultores de la Palma “ASOPARIBARI” organizó a familias de la zona, para buscar la mejora de los procesos de organización comunitaria, productividad y sostenibilidad cafetera. Por otro lado, la Federación Nacional de Cafeteros de Colombia impulsa proyectos para la construcción de centrales de beneficio del café para mejorar la calidad del grano y el manejo de subproductos.
Este folleto trata de tipos de red de innovación, de sus definición y funcionamiento.
Lors de l'intervention d'une plate-forme d'innovation (groupe d'acteurs concernés) dans un domaine donné, nous avons tendance à attribuer les causes du changement aux actions de cette plate-forme. Cet article utilise le cas d'une plate-forme d'innovation dans le secteur du karité au Mali pour analyser comment les plates-formes d'innovation produisent les résultats escomptés.
This paper analyses intermediary organisations in developing economy agricultural clusters. The paper critically engages with a growing narrative in studies of intermediaries that have stressed the ownership structure of intermediaries as a key driver for enabling knowledge transfer, inter-firm learning and upgrading of small producers in clusters. Two case studies of Latin American clusters are presented and discussed.
The agricultural innovation system can be strengthened by increasing the learning capacity of research and field organisations. Participatory methods were developed to study three dimensions of the capacity of such organisations in Nicaragua to access and analyse information, highly correlated to learning capacity – the individual routines of their professionals, the formal procedures of the organisation and the organisation's use of collaborative projects to strengthen core operations.
Knowledge on indigenous chicken production exists but its potential is not yet fully exploited. Although the actors could be known, it is not clear where value is lost or gained, neither is it clear which of the actor gains or losses most, nor the challenges they face. Moreover, if some of the actors are exploited and therefore, realize glaring losses, the entire value chain will be affected and this will affect not only the actors who earn a direct living from the chain, but the entire nation for loss of gainful employment and revenue.
In creating a usable Information System (IS), the quality of information is crucial for making the right decisions. Although, many Information Quality (IQ) features have been identified in a broader context, only certain IQ features would become applicable for each domain from the usability perspective. This study focuses on a theoretical analysis to identify the IQ features which would be significant to produce a usable agricultural information system with respect to the developing countries.
"CDAIS is interesting for us because it is improving how we operate”, explains Francisco Venda, president of the Sementes do Planalto seed cooperative based in Bailundo. “We work with many partners, and the new skills have proved invaluable.” Since 2016, CDAIS has been working with this group, helping them to identify and agree their priority needs, and take steps to overcoming them. But much is yet to be done, though the high levels of energy and enthusiasm will ensure that progress will continue long after the project has ended.
Ce guide s’adresse aux professionnels du monde rural, et au-delà, aux professionnels du développement (ONG d’appui, groupements, organisations paysannes, etc.) qui mettent en place et animent des services d’information. Le rôle de l'information est déterminant dans la pratique professionnelle. Elle est nécessaire au renforcement des connaissances et des compétences des acteurs, comme aide à l'action, à l'innovation et à la résolution des problèmes. Pour cela, elle doit être opérationnelle, pratique et directement utilisable.
Georeferenced data are a key factor in many decision-making systems. However, their interpretation is user and context dependent so that, for each situation, data analysts have to interpret them, a time-consuming task. One approach to alleviate this task, is the use of semantic annotations to store the produced information. Annotating data is however hard to perform and prone to errors, especially when executed manually. This difficulty increases with the amount of data to annotate.