Now showing items 1-10 of 125
Engaging men in gender-equitable practices in maize systems of sub-Saharan Africa
This Guidance Note is designed for researchers working in maize-based smallholder farming systems. It is useful to interventions planning community and household level action research with women and men farmers. This ...
Satellite data and supervised learning to prevent impact of drought on crop production: meteorological drought
Reiterated and extreme weather events pose challenges for the agricultural sector. The convergence of remote sensing and supervised learning (SL) can generate solutions for the problems arising from climate change. SL ...
Misidentification by farmers of the crop varieties they grow: lessons from DNA fingerprinting of wheat in Ethiopia
(Public Library of Science, 2020)