From Village to Globe: A Dynamic Real-Time Map of African Fields Through PlantVillage
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...
Main Authors: | , , , , , , , , , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2021-05-01
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Series: | Frontiers in Sustainable Food Systems |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fsufs.2021.514785/full |
Summary: | 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. |
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ISSN: | 2571-581X |