Machine Learning-Based Crop Recommendation System

Crop recommendation refers to the process of suggesting suitable crop varieties for cultivation in a specific agricultural area or on a particular piece of land based on various factors and data analysis. The goal of crop recommendation systems is to assist farmers and agricultural stakeholders in making informed decisions about what crops to plant to maximize yield, minimize resource usage, and enhance overall agricultural sustainability. Crop recommendation is necessary to optimize agricultural productivity, minimize resource waste, and promote sustainability, ensuring food security for a growing global population. After going through a rigorous survey, we found the various existing techniques for crop recommendation which include IOT-based, Geospatial, Weather Data integration, Remote Sensing, etc. The agriculture sector faces the dual challenge of meeting the growing demand for food production while optimizing resource usage and mitigating environmental impacts. Precision agriculture, powered by machine learning and data-driven approaches, has emerged as a solution to address these challenges.