Crop Recommendation System using Machine Learning Algorithms
Gaurav Chauhan, Alka Chaudhary
Abstract
India is a predominantly agricultural country, with agriculture playing animportant part in the Indian economy and people’s lives. Crops are recommended based on soil, weather, humidity, rainfall, and other variables to increase agricultural output. It benefits not just farmers, but also the country and helps to keep food costs down.This paper presents the utilisation of machine learning approaches like Random Forest and Decision Tree to predict which crop is best for which soil type based on the data sets.
Topics & Concepts
Computer scienceMachine learningAlgorithmArtificial intelligenceSmart Agriculture and AI