AI- BASED CROP RECOMMENDATION SYSTEM FOR FARMERS

Agriculture plays a crucial role in the Indian economy, and crop selection significantly affects productivity and farmer income.However, many farmers rely on traditional methods and experience rather than scientific analysis while selecting crops.This often leads to poor yield, soil degradation, and financial loss.To address this challenge, the project titled "Crop AI -An AI-Based Crop Recommendation System for Farmers" has been developed.Crop AI is a web-based intelligent platform that recommends the most suitable crop based on soil nutrients and environmental parameters such as Nitrogen (N), Phosphorus (P), Potassium (K), pH level, temperature, humidity, and rainfall.The system integrates a Machine Learning model developed using Python to analyze input data and predict optimal crops.The frontend is developed using Next.js14, TypeScript, and Tailwind CSS, providing a responsive and multilingual interface supporting English, Hindi, and Marathi.he system follows a modular three-tier architecture and is developed using the Iterative Software Development Model.Crop AI aims to empower farmers with data-driven decision-making tools and promote smart and sustainable agriculture practices.