Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Ndiye M. Kebonye"'
Autor:
Pegah Khosravani, Majid Baghernejad, Ruhollah Taghizadeh-Mehrjardi, Seyed Roohollah Mousavi, Ali Akbar Moosavi, Seyed Rashid Fallah Shamsi, Hadi Shokati, Ndiye M. Kebonye, Thomas Scholten
Publikováno v:
Land, Vol 13, Iss 8, p 1309 (2024)
(1) Background: The use of multiscale prediction or the optimal scaling of predictors can enhance soil maps by applying pixel size in digital soil mapping (DSM). (2) Methods: A total of 200, 50, and 129 surface soil samples (0–30 cm) were collected
Externí odkaz:
https://doaj.org/article/d6c0bf6f308543d98329de81fcf49393
Autor:
Kamal Nabiollahi, Ndiye M. Kebonye, Fereshteh Molani, Mohammad Hossein Tahari-Mehrjardi, Ruhollah Taghizadeh-Mehrjardi, Hadi Shokati, Thomas Scholten
Publikováno v:
Remote Sensing, Vol 16, Iss 14, p 2566 (2024)
Land suitability assessment, as an important process in modern agriculture, involves the evaluation of numerous aspects such as soil properties, climate, relief, hydrology and socio-economic aspects. The aim of this study was to evaluate the suitabil
Externí odkaz:
https://doaj.org/article/82c5f9e5047f4faf8de75ccfad53b883
Autor:
Kingsley John, Yassine Bouslihim, Isong Abraham Isong, Lahcen Hssaini, Rachid Razouk, Ndiye M. Kebonye, Prince C. Agyeman, Vit Penížek, Tereza Zádorová
Publikováno v:
Ecological Processes, Vol 11, Iss 1, Pp 1-17 (2022)
Abstract Background Mapping of soil nutrients using different covariates was carried out in northern Morocco. This study was undertaken in response to the region's urgent requirement for an updated soil map. It aimed to test various covariates combin
Externí odkaz:
https://doaj.org/article/706f2a59dc564be895d2cded17d0b71b
Publikováno v:
Smart Agricultural Technology, Vol 3, Iss , Pp 100106- (2023)
There are relatively few studies that explicitly evaluate the performance of machine learning algorithms (MLAs) such as decision trees while varying conditions like data splitting strategies and feature selection methods in digital soil mapping (DSM)
Externí odkaz:
https://doaj.org/article/5b616c36f9ed48a6b0877e625aa1290b
Publikováno v:
Biosystems Engineering. 210:282-298
Dimensionality reduction is important for revealing important details that may be useful in decision-making. Although different dimensionality reduction methods have been applied in several soil-based studies, Kohonen self-organizing map neural netwo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4417ec131773a601f3b6c6a93054b9d2
https://doi.org/10.1016/j.biosystemseng.2021.08.033
https://doi.org/10.1016/j.biosystemseng.2021.08.033
Autor:
Ndiye M. Kebonye, Prince Chapman Agyeman, Isong Isong Abraham, Esther Okon Ayito, Ahado Samuel Kudjo, Kingsley John
Publikováno v:
Journal of the Saudi Society of Agricultural Sciences, Vol 20, Iss 6, Pp 379-389 (2021)
This current study investigated the relationship between soil organic carbon (SOC) and terrain derivatives on soil developed on dissimilar lithology while comparing the best modelling approach. Sixty (n = 60) bulk soil samples were taken from the dep
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e8c3c64e5fed0269bcaf809c3c0baab9
http://www.sciencedirect.com/science/article/pii/S1658077X21000485
http://www.sciencedirect.com/science/article/pii/S1658077X21000485
Autor:
Radim Vašát, Ndiye M. Kebonye, Luboš Borůvka, Karel Němeček, Kingsley John, Samuel Kudjo Ahado, Prince Chapman Agyeman, Martin Kočárek
Publikováno v:
Journal of Soils and Sediments. 21:3117-3136
This study was carried out to assess human health risk exposure, to apply a novel pollution assessment–based receptor model CF-PMF (contamination factor-positive matrix factorization), and to estimate the extent of contamination across seven cities
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::277eb5cae95f326100389c323f914745
https://doi.org/10.1007/s11368-021-02988-x
https://doi.org/10.1007/s11368-021-02988-x
Publikováno v:
Modeling Earth Systems and Environment. 8:1261-1271
Given that soil properties including micronutrient contents vary in space and time, geospatial mapping is necessary for robust site-specific management planning. Kriging interpolation is often used in GIS environments for mapping, but it has inherent
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::92689bb0b07efb437246569cb7b57262
https://doi.org/10.1007/s40808-021-01156-x
https://doi.org/10.1007/s40808-021-01156-x
Autor:
S. M. Afu, M. O. Eyong, P. A. Chapman, V. Penížek, Esther Okon Ayito, E.E. Aki, Ndiye M. Kebonye, Kingsley John, Isong Abraham Isong
Publikováno v:
International Journal of Environmental Science and Technology. 18:3327-3342
The spatial modelling of soil properties provides us with essential and useful information relevant to soil fertility management and environmental protection. The study aims to investigate the ability of empirical Bayesian kriging and principal compo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::da83565cb054813045d2156edef50213
https://doi.org/10.1007/s13762-020-03089-x
https://doi.org/10.1007/s13762-020-03089-x
Autor:
S. M. Afu, Prince Ageyman Chapman, Ndiye M. Kebonye, John Kingsley, Esther Okon Ayito, Isong Abraham Isong
Publikováno v:
Environmental Engineering and Management Journal. 20:1077-1085
Soil organic carbon (SOC) plays a significant role in ecosystem protection and sustainable agriculture. The present study aims to estimate the spatial distribution of SOC using three different interpolation methods: ordinary kriging (OK), cokriging (
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2ac65a0442645e99eee5e72d09058f07
https://doi.org/10.30638/eemj.2021.100
https://doi.org/10.30638/eemj.2021.100