Knowledge Portal

This article illustrates the relationship between globalization and apparent transformations in pastoralist behavior in recent years. The paper focuses specifically on the links among climate, land use, and herding in rural northern Kenya. »

This working paper investigates how a decrease in the share of land held by an agribusiness in a village affects smallholder plot-level tenure security and investments in rural Tanzanian villages. A large number of agribusinesses that acquired agricultural land in many sub-Saharan African countries have reduced or ceased their operations in recent years. »

This news item discusses the potential of precision agriculture to increase the yields of smallholder farmers. Precision agriculture is closely associated with technology, like GPS tractors, and its application to large-scale farms in developed countries. But there’s a growing body of research now to support the idea that small-scale farmers can benefit from precision agriculture. »

This article reviews factors and challenges that may explain the low uptake of index-based insurance products in Sub-Saharan Africa. The objectives of this paper are to assess and document 1) the insurance products available to farmers, 2) factors influencing farmers to purchase insurance products, 3) challenges limiting farmers accessing to insurance products and 4) opportunities that can positively enhance uptake. »

This article assesses two soil fertility evaluation approaches in paddy fields for rice cultivation, in order to develop a user-friendly and credible soil fertility index. Also the study aimed to identify specific soil limitations, as well as to determine and map the soil suitability of the study area for rice cultivation. »

This webinar shares insights on using psychometrics to create data for smallholder credit scores. In this way, you can combat financial exclusion through using a interactive assessments that not only use generally available data, but also captures certain characteristics of smallholders that are predictive of credit risks. »