The Nepal Seed and Fertilizer (NSAF) project, funded by the SEED office of USAID in Nepal, aims to provide actionable,
data-driven intelligence to steer programmatic investments in seed and fertilizer value chains across the USAID Feed the Future zones.
Quantitative Engineering Design (QED) was contracted by the International Center for Maize and Wheat Improvement (CIMMYT) to lead NSAF data systems development.
QED’s task order included producing detailed digital, online maps for all croplands, road networks, and houses across the entire FtF zone,
by applying state-of-the-art machine learning techniques to satellite imagery.
By combining these layers with locations of agrodealers, cooperatives, and other agribusiness entities collected by the KISAN II project,
we have produced a
high-detail geospatial visualization of Nepal’s agricultural ecosystem.
These maps are the first of their kind in Nepal, and have used to estimate supply and demand dynamics for seeds and fertilizers.
Merging data from NSAF and other sources has also enabled local staff to develop a business intelligence dashboard for the government and private fertilizer sectors.
