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Crop Selection Using Fuzzy Logic-Based Expert System

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Applications of Soft Computing for the Web

Abstract

A decision-making system is an indispensable tool in every industry today. It not only provides relevant solutions but is also a good source of knowledge acquisition from one human by another. This paper discusses a fuzzy logic-based expert system for crop selection which will assist farmer by considering as input the climatic conditions and soil properties prevailing in his region. The system is found to be effective in predicting the correct crop and it provides an exhaustive list of parameters on account of which it can be used as a template to add new rules. The paper concludes by discussing the possibilities of extending this work by developing a full-blown GUI-based software for the deployment in the farming industry.

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Correspondence to Aveksha Kapoor .

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Kapoor, A., Verma, A.K. (2017). Crop Selection Using Fuzzy Logic-Based Expert System. In: Ali, R., Beg, M. (eds) Applications of Soft Computing for the Web. Springer, Singapore. https://doi.org/10.1007/978-981-10-7098-3_8

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  • DOI: https://doi.org/10.1007/978-981-10-7098-3_8

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-7097-6

  • Online ISBN: 978-981-10-7098-3

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