Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Gladys Ntango"'
Autor:
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
Publikováno v:
Frontiers in Sustainable Food Systems, Vol 5 (2021)
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 f
Externí odkaz:
https://doaj.org/article/e984070716734d88a3fbb58d48f08f47
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
Publikováno v:
Frontiers in Sustainable Food Systems, Vol 5 (2021)
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 f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d0bd97486ed30af344db3943e8e160b1
https://doi.org/10.3389/fsufs.2021.514785
https://doi.org/10.3389/fsufs.2021.514785
Autor:
Winnie Onyango, Gladys Ntango, Annalyse Kehs, Mercyline Tsuma, David J. Hughes, Stellah Amakove, John Chelal, Lawrence Pamba, Melodine Jeptoo, Bismark Plimo, Peter McCloskey, Kelvin Nyongesa, James Mugo, John Mayieka, Derek Morr
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 f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f2504be32a871becbd745995b6956fb0
