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| Filter results4 paper(s) found. |
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1. Geo-statistical Prediction of Spatial Distribution of Salt-affected Soils of Meki-Zeway agricultural areas: Actionable baseline information for practical implementation of precision agriculture in similar salinity/sodicity prone areas in EthiopiaSalinity and sodicity-induced soil degradation are major soil property related environmental constraint with severe negative impacts on productivity and sustainability of both rainfed and irrigated agriculture in arid and semi-arid lowlands of Ethiopia. The spatial prediction, data bases creation and preparation of actionable digital soil salinization/sodiciation pattern maps has a special importance to enable site-specific management system leading to the establishment and execution of Digit... M. Minaleshoa |
2. The Value and Potential of On-Farm Experimentation to Catalyze Agricultural TransformationOn-farm experimentation (OFE), which inculcates farmers’ agency in knowledge discovery, has the potential to support and accelerate transformative agronomy at scale. The OFE process within the Nutrient-Catalyzed Agricultural Transformation in Africa (NUTCAT) project, encompasses farmer engagements, set-up of simple, easy-to-understand treatment designs, and contextual analysis of the data to enhance the relevance of the results to farmers. Ultimately, it is envisaged that this process w... I. Adolwa, J. Muthamia, C. Lutomia, , S. Cook |
3. On-Farm Experimentation Process Triggers Farmers’ Zeal to Test Technologies in Maize Systems of Embu County, KenyaTo faster farmer participation, knowledge transfer and innovation among all actors, there the need to rethink the process of conducting research. Initiated in 2022, the African Plant Nutrition Research Fund maize project (APNRF maize) set out validate a package of soil moisture and fertilizer nitrogen management practices, and to track farmer adoption of better agronomic practices as supported by data through on-farm experimentation (OFE) process. Prior to the establishment of experiments, fa... O. Kitonyo |
4. Benefits of Precision Agriculture in Sugarcane Farming: A case of KwaZulu-Natal, South Africa... N. Gumede |