Vol. 6, Issue 6 (2018)
Soil quality assessment using fuzzy modeling: A case study in rainfed cotton growing environs of Nilona micro-watershed in Yavatmal district, Maharashtra
Author(s): Yogesh S Pawar, S Chatterji, S Chattraj, TK Sen, MV Venugopalan, SK Singh and SR Kadam
Abstract: The study was undertaken in rainfed cotton growing environs of Nilona micro-watershed in Yavatmal district, Maharashtra. Soil quality has been fuzzy modeling. Identification of minimum datasets was done using expert system followed by ranking of indicators according to the relative importance on influencing crop yield for calculating composite soil index. The results indicate out of 118 soils samples were classified 103 samples were grouped under class II, The highest composite soil index (CSI) was found to be 79.74. Whereas the lowest CSI were found to be 62.62. The remaining 15 surface soil sample were grouped under class I. The highest CSI were observed to be 93.99 whereas the lowest CSI was observed to be 80.34.
Pages: 2309-2314 | 302 Views 59 Downloads
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How to cite this article:
Yogesh S Pawar, S Chatterji, S Chattraj, TK Sen, MV Venugopalan, SK Singh, SR Kadam. Soil quality assessment using fuzzy modeling: A case study in rainfed cotton growing environs of Nilona micro-watershed in Yavatmal district, Maharashtra. Int J Chem Stud 2018;6(6):2309-2314.
