Frontiers in Sustainable Food Systems (May 2021)
From Village to Globe: A Dynamic Real-Time Map of African Fields Through PlantVillage
- Annalyse Kehs,
- Peter McCloskey,
- John Chelal,
- Derek Morr,
- Stellah Amakove,
- Bismark Plimo,
- John Mayieka,
- Gladys Ntango,
- Kelvin Nyongesa,
- Lawrence Pamba,
- Melodine Jeptoo,
- James Mugo,
- Mercyline Tsuma,
- Wincate Mukami,
- Winnie Onyango,
- David Hughes,
- David Hughes
Affiliations
- Annalyse Kehs
- Department of Entomology and Biology, Pennsylvania State University, University Park, PA, United States
- Peter McCloskey
- Department of Entomology and Biology, Pennsylvania State University, University Park, PA, United States
- John Chelal
- Department of Agriculture and Biotechnology, Moi University, Eldoret, Kenya
- Derek Morr
- Office of the Associate CIO for Research, Pennsylvania State University, University Park, PA, United States
- Stellah Amakove
- Department of Agriculture and Biotechnology, Moi University, Eldoret, Kenya
- Bismark Plimo
- Department of Agriculture and Biotechnology, Moi University, Eldoret, Kenya
- John Mayieka
- Department of Agriculture and Biotechnology, Moi University, Eldoret, Kenya
- Gladys Ntango
- Department of Agriculture and Biotechnology, Moi University, Eldoret, Kenya
- Kelvin Nyongesa
- Department of Agriculture and Biotechnology, Moi University, Eldoret, Kenya
- Lawrence Pamba
- Department of Agriculture and Biotechnology, Moi University, Eldoret, Kenya
- Melodine Jeptoo
- Department of Agriculture and Biotechnology, Moi University, Eldoret, Kenya
- James Mugo
- Department of Agriculture and Biotechnology, Moi University, Eldoret, Kenya
- Mercyline Tsuma
- Department of Agriculture and Biotechnology, Moi University, Eldoret, Kenya
- Wincate Mukami
- Department of Agriculture and Biotechnology, Moi University, Eldoret, Kenya
- Winnie Onyango
- Department of Agriculture and Biotechnology, Moi University, Eldoret, Kenya
- David Hughes
- Department of Entomology and Biology, Pennsylvania State University, University Park, PA, United States
- David Hughes
- Plant Production and Protection Division, United Nations Food and Agriculture Organization, Rome, Italy
- DOI
- https://doi.org/10.3389/fsufs.2021.514785
- Journal volume & issue
-
Vol. 5
Abstract
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.
Keywords
