Although innovation is understood to encompass much more than R&D, science continues to be an essential ingredient. In particular translation, adaptation and ‘valorisation’ of research results, the responsiveness of research to users’ needs and improved access to results are all regarded as important in achieving a more sustainable European agriculture. These challenges can be addressed in a number of ways including increased collaboration, networking, transdisciplinary research and co-operation between researchers and practitioners.
Graduate programs in agriculture and allied disciplines in Ethiopia are expected to make concrete contribution to market-oriented development of smallholder agriculture. This, among others, calls for realignment and engagement of the programs with smallholder farmers and, value chain, R&D and policy actors. No panacea exists, however, as to how to ensure effective linkages, and thereby responsiveness. Lessons from initiatives on the ground in the country and beyond is thus crucial to inform the development of appropriate policy and innovative strategy.
La innovación inclusiva es un proceso que involucra la coordinación de diversos actores en contextos específicos, en el cual las instituciones juegan un papel central en los procesos de aprendizaje e innovación colaborativa de la población de escasos recursos. Las preguntas centrales que se tratan de responder son ¿cómo construir procesos de innovación inclusiva? y ¿cómo influyen las instituciones en esos procesos?
La conférence sur « Agriculture écologique : atténuer le changement climatique, assurer la sécurité alimentaire et l’autonomie pour les sources de revenus ruraux en Afrique » s’est tenue à Addis – Abéba (Ethiopie) du 26 au 28 novembre 2008.
In direct agri-food chains (DAFCs), farmers and consumers are brought together with the aim of shortening, localizing and synergizing an agri-food chain. As food moves from the farm to the fork, all the economic activities are performed by farmers/producers or consumers, and none intermediary is required to handle an agri-food product before it is consumed. Any DAFC form provide a sort of liminal space for social learning and for local lay knowledge exchange, through face-to-face interactions.
This paper explores the potential of Actor Network Theory (ANT) in understanding how the process of interaction and translation between human and non-human actors contribute to the development, adoption and diffusion of science-based innovations linked to the transition to organic farming. The study relies on two case studies, the French Camargue case covering a range of technical and social innovations, and the case from Bulgaria focusing on the development of a technical and product innovation, i.e. a veterinary product for organic beekeeping.
In this paper the High Nature Value (HNV) livestock farming systems are defined. These systems are found mainly in marginal areas where physical factors, and in some cases social factors, have prevented intensification of land-use. NV-LINK is a Horizon2020 project that seeks to improve the socio-economic and environmental sustainability of HNV farming in 10 Learning Areas, and more widely across the EU, by promoting innovation.
Agricultural machinery manufacturers historically referred to the intermediate players for selling, maintenance, customer service and/or training of equipment appear to interact with farmers and end-users. Intermediate players have therefore faced the burden to master the technology, in constant evolution, and the associated training needs at the interface between sophisticated equipment and the end-user and its sociological characteristics (age, education, background, etc.).
L’une des avancées les plus importantes dans le domaine de l’observation de la terre est la découverte des indices spectraux, ils ont notamment prouvé leur efficacité dans la caractérisation des surfaces agricoles, mais ils sont généralement définis de manière empirique. Cette étude basée sur l’intelligence artificielle et le traitement du signal, propose une méthode pour trouver un indice optimal. Et porte sur l’analyse d’images issues d’une caméra multi-spectrale, utilisée dans un contexte agricole pour l’acquisition en champ proche de végétation.
L’herbe pâturée est l’aliment qui coûte le moins cher dans une ration et la bonne gestion de l’herbe passe entre autre par une connaissance des quantités disponibles. Afin de simplifier et d’automatiser ces mesures d’herbe, et ainsi contribuer au maintien voire au développement du pâturage, le projet HERDECT s’est attaché à construire des méthodes d’estimation de la biomasse des prairies à partir d’outils de télédétection (d’acquisition à distance) et à en estimer la faisabilité opérationnelle.