In Uganda, irrigation development contributes to food security, poverty alleviation and economic growth by using water sustainably.
Satellite remote sensing of evapotranspiration (ET) is an essential part of global observation systems. It provides inputs for agriculture, water resources management, weather forecasts, climate studies and many other applications. Easy access to reliable estimations of ET is a key requirement within these domains. When ET is successfully estimated at high resolution it can map crop water stress at field scale.
Developing and implementing an open-source AI algorithm that merges optical, thermal and meteorological data.
The ability to get information on water stress levels for farms in Uganda. Due to the resolution, we can provide evapotranspiration information at farm level
Better insights can lead to 30% less water use for the same yield.
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