A Survey Paper on Applications of Soft Computing Techniques in Agriculture

E. Murali, V Gopi .


Soft Computing is the numerous of methodologies that are designed to model and enable solutions to real world problems, which are not modeled or too difficult to model, mathematically. Soft computing has been widely studied and applied for scientific research and engineering computing.In agriculture and biological engineering, researchers and engineers have developed methods of fuzzy logic, artificial intelligence, neural networks, genetic algorithms, decision trees, and support vector machines to study soil and water regimes related to crop growth, analyze the operation of food processing. In this paperwiththeconceptsandmethods, applicationsofsoftcomputinginthefieldofagriculturalandbiologicalengineeringarepresented,especiallyinthe soil and water context for crop management and decision support in precision agriculture.

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