Zobrazeno 1 - 10
of 399
pro vyhledávání: '"Onisimo Mutanga"'
Publikováno v:
GIScience & Remote Sensing, Vol 61, Iss 1 (2024)
ABSTRACTModeling of environmental phenomena is usually confounded by the influence of multiple factors existing at different time and spatial scales. Bayesian modeling is presumed to be the best approach for modeling such complex systems. Using a Bay
Externí odkaz:
https://doaj.org/article/f01203bf67d344f29fc13e16e82850f2
Publikováno v:
GIScience & Remote Sensing, Vol 61, Iss 1 (2024)
ABSTRACTUnderstanding grassland habitat dynamics in space and time is crucial for evaluating the effectiveness of protection measures and developing sustainable management practices, specifically within the Natura 2000 network and in light of the Eur
Externí odkaz:
https://doaj.org/article/f2ebfaf7d3b242efbcad60c6cee8c812
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 129, Iss , Pp 103833- (2024)
The impact of climate variability and extreme weather events on agricultural productivity in arid environments has become a focal point in contemporary research. Monitoring crop water productivity (CWP) is critical and urgently required especially in
Externí odkaz:
https://doaj.org/article/46e039c6852e45db8bfaa78181388571
Autor:
David Masereti Makori, Elfatih M. Abdel-Rahman, John Odindi, Onisimo Mutanga, Tobias Landmann, Henri E.Z. Tonnang
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 128, Iss , Pp 103738- (2024)
Bee farming and beehealth are threatened by climate change, agricultural and agrochemicals intensification, and bee pests and diseases. Among these threats, bee pests have particularly been identified as a major obstacle to beehealth. Although previo
Externí odkaz:
https://doaj.org/article/fc44802e71094ed18d22965188335ff5
Publikováno v:
Geomatics, Vol 3, Iss 4, Pp 478-500 (2023)
Recently, the move from cost-tied to open-access data has led to the mushrooming of research in pursuit of algorithms for estimating the aboveground grass biomass (AGGB). Nevertheless, a comprehensive synthesis or direction on the milestones achieved
Externí odkaz:
https://doaj.org/article/67e92a9a40d44254872db7d5cb054e5a
Publikováno v:
PLoS ONE, Vol 19, Iss 3, p e0297309 (2024)
As the risk of climate change increases, robust fire monitoring methods become critical for fire management purposes. National-scale spatiotemporal patterns of the fires and how they relate to vegetation and environmental conditions are not well unde
Externí odkaz:
https://doaj.org/article/8596444ad15349d19d559a810d7ae74a
Publikováno v:
Smart Agricultural Technology, Vol 6, Iss , Pp 100377- (2023)
While remote sensing of grass senescence is addressed in the literature, knowledge of optimal waveband positions that are suitable for discriminating between senescent and non-senescent grasses is still limited. Notably, detection of senescent grass
Externí odkaz:
https://doaj.org/article/e19f9d8d7f054295886c5db75f1b805b
Autor:
Mbulisi Sibanda, Helen S Ndlovu, Kiara Brewer, Siphiwokuhle Buthelezi, Trylee N Matongera, Onisimo Mutanga, John Odidndi, Alistair D Clulow, Vimbayi G P Chimonyo, Tafadzwanashe Mabhaudhi
Publikováno v:
Smart Agricultural Technology, Vol 6, Iss , Pp 100325- (2023)
Smallholder farmers reside in marginal environments typified by dryland maize-based farming systems. Despite the significant contribution of smallholder farmers to food production, they are vulnerable to extreme weather events such as hailstorms, flo
Externí odkaz:
https://doaj.org/article/c7a59c76487d46168ceda09e20fd80eb
Publikováno v:
Scientific African, Vol 22, Iss , Pp e01947- (2023)
The Bracken fern (Pteridium aquilinum) is one of the world's most pervasive alien invasive plants, exerting adverse effects on the sustainability and balance of remnant urban green ecosystems and thereby threatening the provision of valuable ecologic
Externí odkaz:
https://doaj.org/article/3846509a0d244de5a263fa5e06200e67
Autor:
David Masereti Makori, Elfatih M. Abdel-Rahman, Nelly Ndungu, John Odindi, Onisimo Mutanga, Tobias Landmann, Henri E. Z. Tonnang, Nkoba Kiatoko
Publikováno v:
GIScience & Remote Sensing, Vol 59, Iss 1, Pp 648-669 (2022)
Stingless/meliponine bees are eusocial insects whose polylactic nature enables interaction with a wide variety of wild plants and crops that enhance pollination and, hence, support ecosystem services. However, their true potential regarding pollinati
Externí odkaz:
https://doaj.org/article/0705904848384f83aacc909c581f3906