@article{ca95cb5b9d9a4316bdcd2c641fd60c43,
title = "From Village to Globe: A Dynamic Real-Time Map of African Fields Through PlantVillage",
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.",
author = "Annalyse Kehs and Peter McCloskey and John Chelal and Derek Morr and Stellah Amakove and Bismark Plimo and John Mayieka and Gladys Ntango and Kelvin Nyongesa and Lawrence Pamba and Melodine Jeptoo and James Mugo and Mercyline Tsuma and Wincate Mukami and Winnie Onyango and David Hughes",
note = "Funding Information: This work has benefited from funding from the Bill and Melinda Gates Foundation, UN FAO, and the Pennsylvania State University. There were two direct grants that funded this project. The Erickson Discovery Grant from Pennsylvania State University was awarded to AK. A Systems Level Approach to crop health was awarded to DPH by the Bill & Melinda Gates Foundation. Publisher Copyright: {\textcopyright} Copyright {\textcopyright} 2021 Kehs, McCloskey, Chelal, Morr, Amakove, Plimo, Mayieka, Ntango, Nyongesa, Pamba, Jeptoo, Mugo, Tsuma, Mukami, Onyango and Hughes.",
year = "2021",
month = may,
day = "10",
doi = "10.3389/fsufs.2021.514785",
language = "English (US)",
volume = "5",
journal = "Frontiers in Sustainable Food Systems",
issn = "2571-581X",
publisher = "Frontiers Media S. A.",
}