Prediction of Important Insect of Soybean According to Weather Parameters using Genetic Algorithm based Optimized Ensemble Classifier

Volume 20 No 12 (2022)

Chandrakant Mahobiya, Dr. Sanajay Sonar , Dr. Savita Kolhe

DOI: 10.14704/NQ.2022.20.12.NQ77034

Abstract

Soybean cultivation is one of the most important crops in the world in terms of production, economic value and the relevance of its products and by-products as possible famine thugs in the face of the continuous growth of the global population. In India, more than 40 species of insect pests of this crop were registered, one of the most relevant being Blue beetle adult/ mrl Larvae/ mrlG.gemma Larvae/mrl, .acuta, Heliothis, Grey weevil adult/ mrl, Stem fly incidence % Plant inf./ mrl Girdle, beetle.This paper presents prediction of important insect of soybean utilizing the Genetic algorithm optimized ensemble classifier. MATLAB based simulations exhibits the accuracy performance for various types of insects.

Keywords

AdaBoost, Bagging, Boosting, Genetic Algorithm, Soybean, etc

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