Abstract
India is primarily an agricultural nation, and both the Indian economy and people's daily lives are heavily reliant on agriculture. In our research One flaw we discovered was that many of them thinks on one aspect (weather or soil) to judge whether crops would grow successfully.This paper presents the precision agricultural recommendation system with more parameters helps to farmer to choose right crops for their field with the help of ensemble majority voting techniques like SVM, Naive bayes, Random Forest, KNN and a Convolutional neural network and also it provide valid fertilizers and pesticide to reduce the farmer’s burden in selection right things to their field.
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