Zobrazeno 1 - 10
of 23
pro vyhledávání: '"K.I. Ofem"'
Akademický článek
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Autor:
K.I. Ofem, Kingsley John, Charles L. A. Asadu, Pascal Umeugokwe, Mark Pawlett, Michael Otu Eyong, Gare Ambrose-Igho, Chukwuebuka Edwin Awaogu, P. I. Ezeaku
Publikováno v:
Earth Systems and Environment. 5:899-908
The different deposition periods in sedimentary geological environment have made the build-up and estimation of soil organic matter ambiguous to study. Soil organic matter has received global attention in the ambience of international policy regardin
Autor:
Václav Tejnecký, P. I. Ezeaku, Kateřina Vejvodová, K.I. Ofem, Charles L. A. Asadu, Vít Penížek, Ondřej Drábek, Karel Němeček, Kingsley John
Publikováno v:
Modeling Earth Systems and Environment. 8:1923-1932
This study monitored the concentration and distribution of the oxides of Cr, Ni, Cu, Zn and As in soils overlained by different lithological materials in southeast Nigeria. A 30 × 30 m spatial resolution of digital elevation model guided the selecte
Publikováno v:
Journal of Environmental Science and Technology. 14:58-67
Autor:
M. O. Eyong, K.I. Ofem
Publikováno v:
Asian Soil Research Journal. :28-43
The soils of Agoi-Ibami in central Cross River State of Nigeria were evaluated for their mechanical and textural compositions in the field. The objective was to present to small scale, subsistence farmers, with limited access to external farm-inputs
Autor:
Drábek Ond, ek Vít, Charles L. A. Asadu, ek Karel, Tejnecký Vác, M. O. Eyong, Pení, P. I. Ezeaku, K.I. Ofem, ina, John Kingsley, Vejvodová Kate
Publikováno v:
Asian Journal of Scientific Research. 13:228-243
Publikováno v:
Global Journal of Agricultural Sciences. 19:33-43
Investigations were made to reflect the genesis and classification of soils along a toposequence in the Teaching and Research farm of Taraba State University. The topographic map of the farm was developed in the ArcGIS 10.8 environment and a profile
Autor:
K.I. Ofem, Michael Otu Eyong, P. I. Ezeaku, Charles L. A. Asadu, Egondu Charles Umeobi, John Kingsley, Mark Pawlett
Predicting metals concentration in agricultural soils is a sine qua non in establishing environmental policies and evaluating the soils’ agricultural potentials in an area. The relevance of metals to ecological health, agriculture and pollution has
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::18912571f5c934a89c657ec9533abf3f
http://dspace.lib.cranfield.ac.uk/handle/1826/17241
http://dspace.lib.cranfield.ac.uk/handle/1826/17241
Akademický článek
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Autor:
Cheng-Zhi Qin, Ndiye M. Kebonye, Prince Chapman Agyeman, K.I. Ofem, Kingsley John, Isong Abraham Isong, Esther Okon Ayito
Publikováno v:
CATENA. 206:105534
As a widely used soil mapping method, the kriging method involves a high sampling point to generate quality and accurate maps. Combining kriging and machine learning (ML) can produce soil maps with fewer number sampling points. This study's objective