AI Based crop recommendation system

The proposed system, “AI Driven Crop Recommendation System for Smart Agriculture,” aims to assist farmers in selecting the most suitable crop based on soil and environmental conditions using machine learning techniques. Traditional crop selection methods rely heavily on farmers’ experience and may lead to incorrect decisions due to unpredictable environmental factors. The proposed system analyzes soil nutrients such as Nitrogen (N), Phosphorus (P), Potassium (K), along with climatic parameters including temperature, humidity, rainfall, and soil pH. Machine learning algorithms are used to analyze these parameters and recommend the most appropriate crop for cultivation. The system helps farmers improve agricultural productivity, reduce crop failure risks, and make data-driven decisions. The implementation includes a web-based interface that allows users to input environmental parameters and receive instant crop recommendations. This system contributes to the development of smart agriculture by integrating artificial intelligence with traditional farming practices