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.
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.
The COVID-19 pandemic and the measures taken by governments on social distancing and mobility restrictions have contributed to boosting the use of digital technology to bridge some of the physical access gaps. An increasing number of services and extension/information activities are delivered through digital tools and applications. E-commerce has also flourished. As a result, the potential of digital technologies has gained prominence in immediate response and recovery strategies and programmes.
The spatial and temporal variability of soil properties (fluid composition, structure, and water content) and hydrogeological properties employed for sustainable precision agriculture can be obtained from geoelectrical resistivity methods. For sustainable precision agricultural practices, site-specific information is paramount, especially during the planting season.
The determination of bunch features that are relevant for bunch weight estimation is an important step in automatic vineyard yield estimation using image analysis. The conversion of 2D image features into mass can be highly dependent on grapevine cultivar, as the bunch morphology varies greatly. This paper aims to explore the relationships between bunch weight and bunch features obtained from image analysis considering a multicultivar approach.
Global Open Data for Agriculture and Nutrition (GODAN) and The Haller Foundation joined forces in 2016 when the UK based charity released version one of the Haller Farmers App.
Africa–Europe Cooperation and Digital Transformation explores the opportunities and challenges for cooperation between Africa and Europe in the digital sphere.
The Unites States Agency for International Development (USAID) Feed the Future De-veloping Local Extension Capacity (DLEC) project conducted a three-country study on youth and EAS in Rwanda, Niger and Gua-temala. These case studies provided a land-scape analysis to inform actions to strengthen the inclusion of youth in EAS to improve their livelihoods and increase the effective-ness of EAS systems.
This briefing paper aims to raise debate about agricultural information management (AIM) in the CORAF region. It draws attention to initiatives concerned with AIM and sub-Saharan Africa (SSA) from global to local levels. Using these examples, we pose questions as to what AIM is, highlight some key dilemmas, and some promising initiatives that may provide inspiration for debate about information in development. The paper is part of the SCARDA Inception Report Volume 3. Briefing Paper, FARA (Forum for Agricultural Research in Africa), Accra, Ghana (2008).
Society’s learning capacity in the field of sustainable land resource management is at stake and more emphasis on knowledge management is needed to guarantee that the accumulated knowledge is shared in such a way that the right actors have appropriate knowledge at the right time to take the best decisions. Efficient policies governing structures for national and regional knowledge management need to be formulated and the working procedures of the various actors in the field need to be defined more sharply.