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.
Local banks, NGOs and public institutions worked closely to ensure that women could access loans, join associations and have their voices be heard in collective decision-making processes. It also allowed these women and their communities to make collective investments that would increase their production, stabilize and diversify their nutrition, and ultimately achieve a better life.
Innovation systems and science and technology (S&T) projects supported by the World Bank have taken on many forms in the past several years. The Bank's involvement in industrial technology projects started in the 1970s, with Israel and Spain numbering among the first countries to receive support in the form of industrial technology development. This paper reviews the lessons learned in S&T projects that have been supported by the Bank, with an emphasis on the examples of the past decade (1989-2003).
La rencontre des chercheurs qui s’interrogent sur l’efficacité de leurs interventions pour accompagner les acteurs dans les processus de changement constitue une occasion pour s’interroger sur les méthodes de recherche à développer lors de travaux réalisés avec les acteurs : recherche participative, « recherche-action », recherche intervention... L’auteur propose de présenter la démarche de recherche-action comme nouvelle.
Ce texte présente les premiers résultats d’une étude sur la contribution de groupes d’agriculteurs familiaux aux processus d’innovation dans trois municipes de la Paraíba (Brésil). L’objectif consistait à identifier le rôle des producteurs et de leurs organisations en matière d’introduction et d’adaptation de techniques agricoles.
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.
Agricultural Internet of Things (IoT) has brought new changes to agricultural production. It not only increases agricultural output but can also effectively improve the quality of agricultural products, reduce labor costs, increase farmers' income, and truly realize agricultural modernization and intelligence. This paper systematically summarizes the research status of agricultural IoT. Firstly, the current situation of agricultural IoT is illustrated and its system architecture is summarized. Then, the five key technologies of agricultural IoT are discussed in detail.
Droughts are causing severe damages to tropical countries worldwide. Although water abundant, their resilience to water shortages during dry periods is often low. As there is little knowledge about tropical drought characteristics, reliable methodologies to evaluate drought risk in data scarce tropical regions are needed.
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".
Digitization in agriculture is rapidly advancing further on. New technologies and solutions were developed and get invented which ease farmers’ daily life, help them and their partners to gain knowledge about farming processes and environmental interrelations. This knowledge leads to better decisions and contributes to increased farm productivity, resource efficiency, and environmental health. Along with numerous advantages, some negative aspects and dependencies risk seamless workflow of agricultural production.