Le présent rapport devrait, grâce à tous les éléments analysés, aider les décideurs et l’ensemble des acteurs du secteur agricole dans leur prise de décision quant à l’utilisation et à la gestion des nouvelles technologies numériques en agriculture avec comme objectif afin de s’assurer que cette industrie demeure très compétitive.
Assessing or understanding the agriculture innovation system (AIS) is an essential step to better understand the needs, new skills and functions needed by the actors and the system. To accelerate the uptake of innovation and progress towards eradicating poverty, there is an urgent need for well-coordinated, demand-driven, and market-oriented information, knowledge, technologies and services.
The Digital Innovation Strategy (DIS) of the Regional Office for Africa (RAF) of FAO has been prepared to respond to critical challenges facing inclusive and sustainable agrifood system transformation in sub-Saharan Africa. It is enshrined in the new Strategic framework 2022–2030 that aims to accelerate the "transformation to more efficient, inclusive, resilient and sustainable agri-food systems for better production, better nutrition, a better environment and a better life, leaving no one behind".
This report presents and reflects on the opportunities that new technological developments related to automation and precision agriculture (e.g. robotics) can offer to agriculture in developing countries. These technologies are mainly targeted to support farmers that struggle with the cost of labour when harvesting crops and to tackle the declining availability of manpower for general cropping operations.
Le présent rapport étudie les possibilités que les nouvelles avancées technologiques liées à l’automatisation et à l’agriculture de précision (la robotique, par exemple) peuvent offrir à l’agriculture dans les pays en développement. Ces technologies visent principalement à aider les agriculteurs appelés à faire face au coût de la main-d’oeuvre nécessaire pour les opérations de récolte, ainsi qu’à répondre au problème de la raréfaction de la main-d’oeuvre disponible pour l’ensemble des travaux agricoles.
Considering the new opportunities that ICT innovations bring to improve performance of financial and extension services, this study looks at the potential contribution of financial and extension services to the Sustainable Development Goals (SDGs). The approach used extends the standard Data Envelopment Analysis (DEA) model to include longer-term management goals and find a solution that balances the efficient use of innovation investments and the achievement of policy goals, making this approach well suited for the analysis of the SDGs.
Ethiopia is a home for diverse livestock including small ruminants and has the largest population of livestock in Africa. Livestock is kept for export earnings, food security, economic growth, poverty reduction and employment opportunities. Small ruminants are an important resource for livelihood and food security improvement serving as sources of food, income, risk mitigation, property security, monetary saving, investment, and providing other social and cultural benefits.
This report describes the findings of the country study carried out for the design of IFAD project on Restoration of Landscapes and Livelihoods (ROLL P) in Lesotho. Following an IFAD designed project to develop an integrated approach for designing climate-smart and nutrition-sensitive investments, support was provided to undertake a thorough situation analysis for climate, nutrition and their interlinkages and to identify potential pathways and interventions to achieve both climate action and nutrition outcomes.
This report describes the findings of the country study carried out for the design of IFAD Smallholder Agriculture Cluster Project (SACP) in Zimbabwe. Following an IFAD designed project to develop an integrated approach for designing climate-smart and nutrition-sensitive investments, support was provided to undertake a thorough situation analysis for climate, nutrition and their interlinkages and to identify potential pathways and interventions to achieve both climate action and nutrition outcomes.
Geographic information system (GIS) data is often used to map socio-economic data with a spatial component. This data, which is obtained from multiple open-source databases, complements official statistics and generates additional spatial inputs to statistical and econometric analyses. IFAD uses impact assessments using data from face-to-face interviews in order to determine the impact of their projects on strategic goal and objectives. However, the COVID-19 pandemic meant these interviews could no longer take place.