This study explores one of the most important questions for alleviating poverty in sub-Saharan Africa, why are advancements in agricultural technology not taking root in this region? Using data from deep interviews of 42 small-scale farmers in Ghana and Cameroon, a conceptual analysis of drivers and factors of agricultural technology adoption in this region is made and represented as causal loop diagrams. Interviews also provide a basis for weighting factors that farmers consider before adopting a new technology.
This publication, consisting of several modules, includes participatory research approaches for examining a wide range of questions regarding if and how farming practices are being modified to deal with a changing environment, and the constraints and opportunities these changes pose for both men and women.
The aim of this report is to provide a detailed review of documented social learning processes for climate changeand natural resource managementas described in peer-reviewed literature. Particular focus is on identifying (1) lessons and principles, (2) tools and approaches, (3) evaluation of social learning, as well as (4) concrete examples of impacts that social learning has contributed to.
Conference proceedings of a 3-day workshop on Communicating Carbon, organized and hosted by the CGIAR Research Program on Climate Change, Agriculture, and Food Security (CCAFS), which brought together field practitioners from carbon projects to exchange lessons learned and to develop improved skills related to communication about carbon projects.The workshop has highlighted best communication practices used to inform farmers about carbon markets, contracts, and risks involved in engaging with carbon projects.
This working paper offers an overview of current theory and practice on climate change communication and social learning in the global South with a view of informing CCAFS strategy in this area. It presents a theoretical framework for understanding social learning and communication approaches and reviews the current landscape of approaches, tools and decision aids in communicating climate change in the context of development.
CCAFS (through the International Livestock Research Institute and the International Research Institute for Climate and Society) and the Africa Climate Policy Center sponsored a workshop on ‘Strengthening Regional Capacity for Climate Services in Africa’, held on 27th October 2015 at Victoria Falls, Zimbabwe.
Communications and knowledge management are essential activities to help the CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS) achieve its development outcomes. Strategic and complementary communication helps highlight success stories, support a change in behaviour in next-users while expanding the program’s reach. This in turn will help Flagships and regions follow impact pathways and reach outcomes. This is CCAFS Program Approach to Communication.
Dans le besoin urgent de lutter contre le changement climatique, une priorité essentielle est de renforcer la capacité de ces groupes et communautés les plus vulnérables, et déjà fortement affectés, à améliorer leur capacité à adapter leurs systèmes de subsistance.
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.
Cet article présente une nouvelle approche à base de logique floue pour évaluer le risque phytosanitaire dans une serre produisant des roses. Le but de cette étude est de fournir à l’agriculteur un indice représentant le risque de présence de nuisible : Western Flower Thrips (WFT) ou Frankliniella Occidentalis, et d’enlever la phase decomptage manuel. Un systéme d’aide à la décision modulaire basé sur la connaissance d’experts a été conçu. Le systéme proposé fournit un facteur de risque en fonction des données météorologiques et statiques.