CIAT-developed machine learning technology identifies agroforestry crops and other land cover types using publicly available (free) satellite imagery.
Date Issued
Date Online
Language
Type
Review Status
Access Rights
Usage Rights
Metadata
Full item pageCitation
CGIAR Research Program on Climate Change, Agriculture and Food Security. 2020. CIAT-developed machine learning technology identifies agroforestry crops and other land cover types using publicly available (free) satellite imagery. Reported in Climate Change, Agriculture and Food Security Annual Report 2020. Innovations.
Permanent link to cite or share this item
External link to download this item
DOI
Abstract/Description
The underlying machine learning technology has been tested, developed and proven. A successful pilot land cover detection was completed in Honduras. There is ongoing work on making the system operational, optimizing the system training process and potentially expanding the range of land cover types the system is capable of detecting.