The OECD InDeF team developed a portfolio approach to innovation. A portfolio approach takes a balcony view on innovation which helps organizations align innovation processes, resources and performance with organizational objectives and enables them to track innovation with a view to scaling. Coached by the OECD team, Enabel colleagues in Benin, Morocco and Palestine piloted this portfolio approach by reviewing their current innovation supporting activities and investments against a set of key criteria.
Global Open Data for Agriculture and Nutrition (GODAN) and The Haller Foundation joined forces in 2016 when the UK based charity released version one of the Haller Farmers App.
The International Fund for Agricultural Development (IFAD) financed the second Cordillera Highland Agricultural Resource Management Project (CHARMP2), in areas where poverty is most severe among indigenous peoples in the highlands of the Cordillera Region in northern Philippines. The aim is to reduce poverty and improve the livelihoods of indigenous peoples living in farming communities in the mountainous project area. The indigenous peoples consist of many tribes whose main economic activity is agriculture.
As the United Nations faces a number of pressing issues, it is time to make innovative thinking the new normal. Developed by the UN, for the UN, this digital platform includes twenty-one tools, step-by-step directions, worksheets, case studies, references as well as a 27-question assessment which provides a diagnosis on every user’s strengths and areas for improvement.
This training manual, which is based on a methodology developed by FAO’s Research and Extension Unit (OINR), presents a training course on assessing AIS consisting of eight modules.
The Food and Agriculture Organization of the United Nations (FAO) has developed a web-based Rift Valley fever (RVF) Early Warning Decision Support Tool (RVF DST), which integrates near real-time RVF risk maps with geospatial data, historical and current RVF disease events from EMPRES Global Animal Disease Information System (EMPRES-i) and expert knowledge on RVF eco-epidemiology.
ICT-driven digital tools to support smallholder farmers are arguably inevitable for agricultural development, and they are gradually evolving with promising outlook. Yet, the development and delivery of these tools to target users are often fraught with non-trivial, and sometimes unanticipated, contextual realities that can make or mar their adoption and sustainability. This article unfolds the experiential learnings from a digital innovation project focusing on surveillance and control of a major banana disease in East Africa which is being piloted in Rwanda.
Contract farming has gained in importance in many developing countries. Previous studies analysed effects of contracts on smallholder farmers’ welfare, yet mostlywithout considering that different types of contractual relationships exist. Here, we examine associations between contract farming and farm household income in the oilpalm sector of Ghana, explicitly differentiating between two types of contracts,namely simple marketing contracts and more comprehensive resource-providing contracts.
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.
La plateforme d’innovation (PI) est une approche multi-acteurs pour des solutions aux problèmes complexes. Elle est d’actualité en Afrique Subsaharienne confrontée à de nombreux défis agricoles. Cette étude utilise une perspective systémique pour comprendre le processus de génération et de diffusion d’innovation relative à la post-récolte du riz local au Bénin. La collecte des données quantitatives et qualitatives a été faite avec des questionnaire et guides d’entretien auprès de 300 femmes étuveuses de riz, membres de la PI à Malanville, et sélectionnées de façon aléatoire et stratifiée.