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ISSN 2063-5346
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CROP RECOMMENDATION SYSTEM FOR IDENTIFYING THE BETTER YIELDING CROPS USING HYBRID EVOLUTIONARY ALGORITHM SS-NMRA

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Dhanya K1 , B.Jayanthi2
» doi: 10.31838/ecb/2023.12.s1-B.446

Abstract

The Indian economy is based on agriculture. In India, agriculture is a significant industry. The nation's 1.3 billion inhabitants are fed by agriculture, which occupies more than 60% of its land. Compared to conventional agriculture methods, precision farming is a new strategy. In order to help farmers to forecast crop before deciding to final crop projecting the proper crop utilizing data such as district, rainfall, temperature, and area. The novel aspect of the proposed approach is that it gives farmers instructions on how to increase crop yield while also recommending the most profitable crop for a given area. The proposed approach would help to maximize production while reducing the challenges farmers experience when selecting a crop. Proposed a hybrid The SS-NMRA evolutionary method is used to find the best characteristics to fit in the models. It is advised to choose a suitable crop while employing RF and SS-NMRA. The suggested approach achieves accuracy of 98%

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