Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
February 17, 2026
Neural Networks and Rules-based Systems used to Find Rational and
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The study assessed the physical land suitability for cassava cultivation in southern part of Adamawa State using Multi-criteria evaluation and GIS technique. Within the study area, the production of cassava is mainly for food and there are only little opportunities for its commercial development. This therefore makes it necessary to carry out land suitability analysis in order to provide information on the study area that would guide in sustaining long term production of cassava. The environmental variables examined were Mean Annual rainfall, Mean Temperature, Length of rainfall, Relief and Soil which were obtained from the Upper Benue River Development Authority (UBRDA), Yola. The primary data were sourced by means of field survey to obtain the coordinates of the current cassava growing areas for mapping. The five factor maps were reclassified based on environmental requirement of cassava crop in the IDRISI Taiga environment and different weights were assigned to each factor to represent their relative importance using the pair-wise comparison Matrix.
Kefas, J. 2016. \u201cLand Suitability Analysis for Cassava (Manihot Spp.) Cultivation in Southern Part of Adamawa State, Nigeria\u201d. Global Journal of Human-Social Science - B: Geography, Environmental Science & Disaster Management GJHSS-B Volume 16 (GJHSS Volume 16 Issue B5): .
Crossref Journal DOI 10.17406/GJHSS
Print ISSN 0975-587X
e-ISSN 2249-460X
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The study assessed the physical land suitability for cassava cultivation in southern part of Adamawa State using Multi-criteria evaluation and GIS technique. Within the study area, the production of cassava is mainly for food and there are only little opportunities for its commercial development. This therefore makes it necessary to carry out land suitability analysis in order to provide information on the study area that would guide in sustaining long term production of cassava. The environmental variables examined were Mean Annual rainfall, Mean Temperature, Length of rainfall, Relief and Soil which were obtained from the Upper Benue River Development Authority (UBRDA), Yola. The primary data were sourced by means of field survey to obtain the coordinates of the current cassava growing areas for mapping. The five factor maps were reclassified based on environmental requirement of cassava crop in the IDRISI Taiga environment and different weights were assigned to each factor to represent their relative importance using the pair-wise comparison Matrix.
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