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AI for Earth:
13 december 2018
To get more yield with fewer resources, precision is key – especially with a precious resource like water. One way to know how much water crops really need is to measure how much water evaporates from the soil and plant surfaces. This is known as the evapotranspiration (or ET) rate, which helps farmers improve their watering efficiency
Torsten Bondo: Business development manager and senior remote sensing engineer at DHI GRAS in Denmark.
His team aims to use machine learning and satellites to support irrigation development and improve crop water efficiency in Uganda together with the Ugandan geo-information company Geo Gecko. The goal is to contribute to food security, poverty alleviation and economic growth.
The project that been chosen as one of the eleven changemakers to receive the Microsoft and National Geographic AIforEarth Innovation Grant.
EOatDHI part of the DHI GROUP
gras@dhigroup.com
+45 4516 9100
Agern Alle 5,
2970 Hørsholm,
Denmark
CVR: 36466871