Ce catalogue décrit une série de solutions agricoles pour les zones arides du Sahel et de la Corne de l'Afrique, utiles pour l'adaptation au changement climatique et l'atténuation de ses effets. Il est basé sur les interventions du programme Technologies pour la transformation de l'Agriculture en Afrique (TAAT). Ce programme, dirigé par l'Institut International d'Agriculture Tropicale (IITA), est à l'origine de nouvelles approches pour le déploiement de technologies éprouvées auprès des agriculteurs africains.
The 2021 Global Report on Food Crises (GRFC 2021) highlights the remarkably high severity and numbers of people in Crisis or worse (IPC/CH Phase 3 or above) or equivalent in 55 countries/territories, driven by persistent conflict, pre-existing and COVID-19-related economic shocks, and weather extremes. The number identified in the 2021 edition is the highest in the report’s five-year existence. The report is produced by the Global Network against Food Crises (which includes WFP), an international alliance working to address the root causes of extreme hunger.
This brochure presents the five-year TAP-AIS project (2019-2024) funded by the European Union under the DeSIRA Initiative and implemented by the Food and Agriculture Organization (FAO) of the United Nations. The project has the main objective to strengthen capacities to innovate in national agricultural innovation systems (AIS) in the context of climate-relevant, productive, and sustainable transformation of agriculture and food systems in Africa, Latin America, Asia and the Pacific.
In Mali, agricultural activities such as seeding, harvesting, and irrigation play a significant role in productivity. These activities must be carried out appropriately and above all, at an appropriate time to achieve excellent performance. Unfortunately, most farmers are unaware of the impact of these activities on the yield of their crops. This study aims to help farmers and youth people wishing to gather information needed in the field of agriculture entrepreneurship through a mobile application (mobile app).
Le CCAFS Afrique de l’Ouest met en œuvre un projet de « développement de chaînes de valeur et paysage climato-intelligents pour accroitre la résilience des moyens de subsistance en Afrique de l’Ouest ».
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.
The concept of an innovation system is used to understand how innovation contributes to economic growth. However, innovation systems do not evolve evenly in different parts of the world. This paper contributes to the ongoing debate on the emergence of innovation systems in the context of developing countries. It uses the Rwandan case, where agriculture is a dominant socio-economic sector with high innovation potential. It explores how stakeholder interactions and policies contribute to the emergence of an agriculture innovation system in Rwanda.
Technology and innovation are important in addressing complex problems in the agricultural sector in many developing communities. However, ways and mechanisms to integrate them in the agricultural sector are still a challenge due to the lack of clear pathways and trajectories. Value chains are seen as a strong policy instrument to increase profitability in the agricultural sector; there is also debate around whether value chains can be a potential option to organize technology and innovation trajectories in agriculture.
To determine whether a farmer’s accessibility predicts the delivery of extension services, this study used banana Xanthomonas wilt (BXW) disease-management advisory as a typical case with which to collect extension-delivery information from 690 farmers, distinguished by their respective accessibility. Cost–distance analysis was applied to define each farmer’s accessibility. The results revealed that a farmer’s accessibility does not predict extension delivery to that farmer in all forms of the examined extension parameters.