Zobrazeno 1 - 10
of 16
pro vyhledávání: '"James Mugo"'
Autor:
Aidan Byrne, Davide Lomeo, Winnie Owoko, Christopher Mulanda Aura, Kobingi Nyakeya, Cyprian Odoli, James Mugo, Conland Barongo, Julius Kiplagat, Naftaly Mwirigi, Sean Avery, Michael A. Chadwick, Ken Norris, Emma J. Tebbs, on behalf of the NSF-IRES Lake Victoria Research Consortium
Publikováno v:
Remote Sensing, Vol 16, Iss 16, p 2903 (2024)
East African lakes support the food and water security of millions of people. Yet, a lack of continuous long-term water quality data for these waterbodies impedes their sustainable management. While satellite-based water quality retrieval methods hav
Externí odkaz:
https://doaj.org/article/8c29e885183b445bb90aa858aa6c69ac
Publikováno v:
Engineering Proceedings, Vol 36, Iss 1, p 15 (2023)
Civil infrastructure over the years has experienced a dominant reliance on concrete material compared to other construction materials. Human inspection is the main mode of inspection for such structures, including concrete columns, which has been pro
Externí odkaz:
https://doaj.org/article/505de839ea3d4583a60ad1846d044b72
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
Publikováno v:
Aquatic Ecosystem Health & Management. 25:53-59
Lake Baringo (located in Kenya, East Africa) fishery is currently under perturbation with diverse annual fluctuations in the catch landings. In an attempt to remedy the declining fishery, Kenya Marine and Fisheries Research Institute, Fisheries Depar
Autor:
Jacques Riziki Walumona, Benjamin N. Kondowe, Cyprian Odoli Ogombe, Boaz Kaunda-Arara, Fabrice Muvundja Amisi, Kobingi Nyakeya, Philip O. Raburu, James Mugo Murakaru
Publikováno v:
Ecohydrology. 15
Autor:
Kobingi Nyakeya, Jacques Riziki Walumona, James Mugo Murakaru, Benjamin N. Kondowe, Boaz K. Arara, Cyprian Odoli Ogombe, Fabrice Muvundja Amisi, Phillip Okoth Raburu
The study was conducted in Lake Baringo and determined quantitative relationships between water level changes, water quality, and fishery production for informed lake basin management. Long-term (2008 to 2020) data on water level, water quality, and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2fc7f46aa8a269f1dce97d716177bce1
https://doi.org/10.22541/au.162557458.89080739/v1
https://doi.org/10.22541/au.162557458.89080739/v1
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
James Mugo, Christopher Mulanda Aura, Cyprian Odoli, Chrisphine S. Nyamweya, Maurice Obiero, Nyakeya Kobingi, Horace Owiti, Zachary Ogari
Publikováno v:
Food Security. 11:855-868
Small-scale fisheries in Kenya contribute about 4.7% of the Gross Domestic Product (GDP) in spite of high post-harvest losses. Post-harvest interventions in fisheries enable fishers and fish processors to reduce waste, maintain nutritional aspects an
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
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