• Nived C
• Krishna Sharan S Pandith
• Roshedh S U
• Fayaz C K
• Nivin K.S,Daya Naik

The Crop Recommendation System is an AI-driven application designed to assist farmers in identifying the most suitable crop for cultivation based on environmental and soil parameters. By leveraging a pre-trained Random Forest model, the system predicts optimal crops using inputs such as Nitrogen (N), Phosphorus (P), Potassium (K), temperature, humidity, pH, rainfall, and geographical location. The user-friendly interface, built using Streamlit, allows users to interact with the system seamlessly. The system provides recommendations along with descriptive statistics and visual aids to help farmers make informed decisions. This approach aims to enhance agricultural productivity by promoting data-driven farming practices tailored to specific conditions.

Machine Learning, Random Forest Classification, Crop Suitability Prediction, Agricultural Decision Support, Soil and Weather Analysis, AI in Agriculture, Data Preprocessing, Geographic Location Encoding

"WEATHER BASED CROP SUGGESTION: USING MACHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 7, page no.762-768, July-2025, Available :http://www.jetir.org/papers/JETIRGX06141.pdf

"WEATHER BASED CROP SUGGESTION: USING MACHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 7, page no. pp762-768, July-2025, Available at : http://www.jetir.org/papers/JETIRGX06141.pdf