Crop Recommendation System Using Machine Learning

-Agriculture plays a crucial role in food production and economic development. Selecting the most suitable crop based on soil nutrients and environmental conditions is essential for improving crop productivity and reducing agricultural losses. Farmers often face challenges in choosing the appropriate crop due to variations in soil quality and climatic conditions. Traditional decision-making methods are mostly based on experience and may not always provide accurate results.This study focuses on developing an intelligent crop recommendation system that helps farmers identify suitable crops based on soil and environmental conditions. By analyzing agricultural data, the proposed system aims to support better decision-making and improve crop yield. Such data-driven approaches can contribute to modern agriculture by assisting farmers in selecting crops that are more compatible with their land conditions.