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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7V36Q
Crossref Journal DOI 10.17406/GJSFR
Print ISSN 0975-5896
e-ISSN 2249-4626
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Neural Networks and Rules-based Systems used to Find Rational and
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Analysis of rainfall and temperature patterns on yam yield in Lafia, Nasarawa State, Nigeria. Variability is one of the serious environmental challenges that has received a lot of complaints. This study therefore sought to examine the effects of climate variants on yam yield, data were collected for a period of 15years from the Nigerian Meteorological Agency (NIMET) and the Nasarawa Agricultural development Project (NADP) in Lafia, capital of Nasarawa State. The data were analyzed using the Pearson correlations and linear regression analysis and the trends in temperature, rainfall on yam yields. The result of the study shows an increase in maximum and minimum temperature at 0.168 0 C and 0.413 0 C respectively, coupled with unreliable rainfall of 0.079 over the investigated period (2001)(2002)(2003)(2004)(2005)(2006)(2007)(2008)(2009)(2010)(2011)(2012)(2013)(2014)(2015), while the standardized coefficient Beta was 0.075. The study indentified poor yield as the major effect of rainfall and temperature variations on yam yield. Maximum temperature had a weak (0.168) positively significant relationship on yam yield for the investigated period, minimum temperature had a weak (0.413) positive significant relationship on yam yield which is more advisable and rainfall had the weakest (0.079) positive significant relationship and it cannot be held responsible for higher crop yield, except if joined with other factors like soil fertility, soil moisture, soil pH, and so on for the 15 years period.
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