Crop Recommendation using Machine Learning

Abstract

The crop recommendation system using machine learning is an intelligent decision support system that provides recommendations to farmers on the most suitable crop to cultivate based on soil and weather conditions like tempe_rature, humi_dity, rain_fall, nitro_gen, pota_ssium, phos_phorus and PH_value of the soil. This system uses machine learning algorithms like Decision_Tree, Random_Forest, Naive_Bayes, Support_Vector_Machine (SVM), Gaussian_NB, and Logistic_Regression to analyze data on soil properties, climate, and other relevant factors to generate personalized crop recommendations for each farmer.