Autor: |
Winnie Onyango, Annalyse Kehs, David J. Hughes, Stellah Amakove, Gladys Ntango, Mercyline Tsuma, Bismark Plimo, John Chelal, Wincate Mukami, Lawrence Pamba, Melodine Jeptoo, James Mugo, John Mayieka, Derek Morr, Peter McCloskey, Kelvin Nyongesa |
Rok vydání: |
2021 |
Předmět: |
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Zdroj: |
Frontiers in Sustainable Food Systems, Vol 5 (2021) |
ISSN: |
2571-581X |
DOI: |
10.3389/fsufs.2021.514785 |
Popis: |
A major bottleneck to the application of machine learning tools to satellite data of African farms is the lack of high-quality ground truth data. Here we describe a high throughput method using youth in Kenya that results in a cost-effective method for high-quality data in near real-time. This data is presented to the global community, as a public good and is linked to other data sources that will inform our understanding of crop stress, particularly in the context of climate change. |
Databáze: |
OpenAIRE |
Externí odkaz: |
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