Despite efforts over recent years to improve the status of agriculture in sub-Saharan Africa, little change has been noted, due partially to the fact that efforts have come from individual entities, which had short-term funding or lacked the necessary expertise to scale up research outputs. Disconnect between researchers and end-users has further hindered the success of such efforts.
Malgré les efforts déployés ces dernières années pour améliorer la situation de l’agriculture en Afrique subsaharienne, peu de changements ont été observés. Cet insuccès est dû, en partie, au fait que ces efforts ont été consentis par diverses entités de petite taille, aux capacités de financement à court terme et sans l’expertise nécessaire pour diffuser les résultats de leurs travaux de recherche. De plus, ces initiatives ont aussi pâti de la déconnexion entre la recherche et les utilisateurs finaux.
The nature of the issues around which Agricultural Research for Development (ARD) partnerships are formed requires a different way of conceptualizing and thinking to that commonly found in many agricultural professionals. This brief clarifies the components of a system of interest to an ARD partnership.
Networks and organizations need to find ways to be more effective in pursuing their objectives and thus seek to “learn” to be able to respond, innovate and adapt to complex, changing social and environmental conditions, thus bringing about social change. An essential capacity for ARD (Agricultural Research for Development) partnerships is therefore the ability to reflect and learn. Learning is not simply about increasing knowledge and skills or changing attitudes; it is about making sense of complexity to act more effectively.
This brief illustrates the different forms of knowledge, and the ways to create and manage it.
This free Massive Open Online Course (MOOC) on Open Data Management in Agriculture and Nutrition was first created in 2016. The course was delivered 5 times between November 2017 and November 2018, reaching over 5000 people globally, before being made available for unrestricted use
Ce cours en ligne massif (MOOC) gratuit sur la gestion des données ouvertes en agriculture et nutrition a été créé en 2016. Déjà en 2017 et 2018, plus de 5000 participants de partout dans le monde ont déjà suivi cette formation, laquelle est maintenant disponible pour une utilisation gratuite et sans restriction.
El Curso Masivo en Línea (MOOC) gratis sobre la Gestión de Datos Abiertos en Agricultura y Nutrición fue creado originalmente en el año 2016. El curso fue dado 5 veces entre Noviembre del 2017 y noviembre del 2018, alcanzando a más de 5000 personas mundialmente, antes de ser hecho disponible para su uso sin restricciones.
Presentation by David Neven, Senior Economist at FAO (Food and Agriculture Organization of the United Nations), for the Global Forum for innovations in agriculture (Abu Dhabi, 20-21 March 2017), an event to present solutions and inspire debate across all types of food production.
Agriculture 4.0 is comprised of different already operational or developing technologies such as robotics, nanotechnology, synthetic protein, cellular agriculture, gene editing technology, artificial intelligence, blockchain, and machine learning, which may have pervasive effects on future agriculture and food systems and major transformative potential. These technologies underpin concepts such as vertical farming and food systems, digital agriculture, bioeconomy, circular agriculture, and aquaponics.