Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Annalyse Kehs"'
Autor:
Ma. Luisa Buchaillot, Jill Cairns, Esnath Hamadziripi, Kenneth Wilson, David Hughes, John Chelal, Peter McCloskey, Annalyse Kehs, Nicholas Clinton, José Luis Araus, Shawn C. Kefauver
Publikováno v:
Remote Sensing, Vol 14, Iss 19, p 5003 (2022)
The second United Nations Sustainable Development Goal (SDG2), zero hunger, aims to improve the productivity, food security, nutrition, and sustainability of small-scale farmers. The fall armyworm (FAW, Spodoptera frugiperda) has been devasting to sm
Externí odkaz:
https://doaj.org/article/955062f8e36e4cb69ab7aa574ecf7ab7
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:
Phuong Hong Nguyen, Lan Mai Tran, Nga Thu Hoang, Duong Thuy Thi Trương, Trang Huyen Thi Tran, Phuong Nam Huynh, Bastien Koch, Peter McCloskey, Rohit Gangupantulu, Gloria Folson, Boateng Bannerman, Alejandra Arrieta, Bianca C Braga, Joanne Arsenault, Annalyse Kehs, Frank Doyle, David Hughes, Aulo Gelli
Publikováno v:
The American Journal of Clinical Nutrition. 116:992-1001
There is a gap in data on dietary intake of adolescents in low- and middle-income countries (LMICs). Traditional methods for dietary assessment are resource intensive and lack accuracy with regard to portion-size estimation. Technology-assisted dieta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3839ca9ac8dcd47fb92df56f7a941498
https://doi.org/10.1093/ajcn/nqac216
https://doi.org/10.1093/ajcn/nqac216
Autor:
David P. Hughes, Andrea Coletta, Annalyse Kehs, Novella Bartolini, Gaia Maselli, Peter McCloskey
Publikováno v:
IEEE Internet of Things Journal. 9:6359-6373
In most of the developing countries, the economy is largely based on agriculture. The poor availability of skilled personnel and of appropriate supporting infrastructure, make crop fields vulnerable to the outbreak of plant diseases, possibly due to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::296871b45b26500d2d7063d94099f860
https://doi.org/10.1109/jiot.2020.3002332
https://doi.org/10.1109/jiot.2020.3002332
Autor:
David P. Hughes, Annalyse Kehs, Anchit Goyal, Dongwon Lee, Fei Jiang, Derek Morr, Maryam Tabar, Amulya Yadav, Jared Gluck
Publikováno v:
KDD
East Africa is experiencing the worst locust infestation in over 25 years, which has severely threatened the food security of millions of people across the region. The primary strategy adopted by human experts at the United Nations Food and Agricultu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0d350500943df9f937a45d3ac2307780
https://doi.org/10.1145/3447548.3467184
https://doi.org/10.1145/3447548.3467184
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:
Esnath Hamadziripi, Nicholas Clinton, Ma. Luisa Buchaillot, Jill E. Cairns, Annalyse Kehs, Keith Cressman, José Luis Araus, Shawn C. Kefauver, Kenneth Wilson, David P. Hughes, Peter McCloskey, John Chelal
Publikováno v:
IGARSS
Fall armyworm (FAW) is a polyphagus pest with a preference for young maize leaves that relocates to the cob during cob development and can devastate maize yields. Time series anomaly change detection and first derivative growth pattern analyses were
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ebf1c819b941b82214650bd45abe5383
https://doi.org/10.1109/igarss39084.2020.9323181
https://doi.org/10.1109/igarss39084.2020.9323181
Autor:
Amanda Ramcharan, Annalyse Kehs, H. M. Murithi, Peter McCloskey, David P. Hughes, Neema Mbilinyi, James P. Legg, Mathias Ndalahwa, Latifa Mbwana Mrisho
Premise of the studyNuru is an artificial intelligence system for diagnosis of plant diseases and pests developed as a public good by PlantVillage (Penn State University), FAO, IITA and CIMMYT. It provides a simple, inexpensive and robust means of co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2102ab7976f85eafd2dc02877b1bf86e
https://doi.org/10.1101/2020.01.26.919449
https://doi.org/10.1101/2020.01.26.919449
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