ICARDA scientists along with CGIAR LIVESTOCK developed a cloud-based genetic database platform to boost breed improvement programs in community-based livestock breeding programs in Ethiopia.
The COVID-19 pandemic has elevated the importance of agriculture in the Pacific Islands for food security and economic development. The crisis has underscored the crucial role of domestic food systems to provide resilience to shocks, livelihood options, self-sufficiency, and insurance against food and nutrition insecurity. However, remoteness from international markets, populations dispersed across many small islands, heightened vulnerability to climate change, and natural resource constraints pose significant challenges for adapting food systems to cope with the impacts of COVID-19.
Since 1981, IFAD has financed 19 rural development programmes and projects in Rwanda, for a total amount of US$358.04 million, and directly benefiting about 1,540,157 rural households. The IFAD country programme has contributed significantly to improving incomes and food security in rural areas, particularly through watershed development, increased production in marshland and hillsides, development of livestock and export crops, and support for cooperatives and rural enterprises. IFAD also supports the government in mainstreaming climate resilience.
Since 1979, IFAD has invested US$455.09 million in 20 programmes and projects in Kenya (at a total cost of US$980.31 million), in support of the Government’s efforts to reduce rural poverty. In Kenya, IFAD loans provide support to smallholders and value chain actors (such as agrodealers, private extension services, small traders and processors) in the dairy sector, aquaculture, livestock and cereal value chains. In addition, they strengthen the resilience of the natural resource base and improve access to rural financial services.
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.
Le Programme d’appui au développement des filières agricoles (PADFA) a pour objectif d’améliorer les activités après-récolte (conditionnement, stockage, transformation et commercialisation) dans les filières du riz, des légumes et de la mangue en Côte d'Ivoire. Cette brochure réunit les témoignages de petits producteurs ayant participé au programme et dont les cultyures étaient affectés par les effets des changements climatiques et les insectes.
Accurate and operational indicators of the start of growing season (SOS) are critical for crop modeling, famine early warning, and agricultural management in the developing world. Erroneous SOS estimates–late, or early, relative to actual planting dates–can lead to inaccurate crop production and food-availability forecasts. Adapting rainfed agriculture to climate change requires improved harmonization of planting with the onset of rains, and the rising ubiquity of mobile phones in east Africa enables real-time monitoring of this important agricultural decision.
This study aims to clarify the Japanese characteristics of the spread of smart agriculture utilizing digital technology, which is expected to spread worldwide, and to provide policy implications for further dissemination of the technology. We conducted a questionnaire survey on actual conditions related to smart agriculture on Japanese farms. We have also proposed creation of a Smart Agricultural Kaizen Level (SAKL) technology map by applying the evaluation method used in management technology theory for the manufacturing industry.
Climate smart agriculture (CSA) technologies are innovations meant to reduce the risks in agricultural production among smallholder farmers. Among the factors that influence farmer adoption of agricultural technologies are farmers' risk attitudes and household livelihood diversification. This study, focused on determining how farmers' risk attitudes and household livelihood diversification influenced the adoption of CSA technologies in the Nyando basin. The study utilized primary data from 122 households from two administrative regions of Kisumu and Kericho counties in Kenya.
This study aims to investigate blockchain technology for agricultural supply chains during the COVID-19 pandemic. Benefits and solutions are identified for the smooth conduction of agricultural supply chains during COVID-19 using blockchain. This study uses interviews with agricultural companies operating in Pakistan. The findings discover the seven most commonly shared benefits of applying blockchain technology, four major challenges, and promising solutions.