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Abstract

Soft computing analyzes and finds a solution to various complex problems. It provides complete, analytical and cost effective solutions. In last decades, it is used for engineering computing and scientific research. In biological and agriculture engineering various techniques like decision trees, artificial neural networks, fuzzy logic etc. are used for study of water and soil. This paper provides a review of various methods used in soft computing.

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