1 I. Subhashini, 2M. Praveen Raj,3Harikrishna,4Chandhu,5Ch. Mohan Reddy,6 SK. Hardif 03 07 Agriculture plays a vital role in the economy and food security of many countries Paddy is one of the most important staple crops cultivated worldwide Accurate crop detection and appropriate soil recommendation are essential for improving yield and reducing losses Traditional farming practices rely heavily on farmer experience and manual observation These methods may lead to inefficient resource usage and reduced productivity Artificial Intelligence provides advanced solutions for smart agriculture This project focuses on paddy crop detection and soil recommendation using AI techniques Image processing and machine learning models are used to detect paddy crop conditions Soil parameters such as moisture pH and nutrient content are analyzed The system recommends suitable soil treatments and fertilizers Data is collected from sensors and crop images AI models process this data for accurate prediction The system supports early detection of crop issues It helps farmers make informed decisions Automation reduces manual effort The approach improves crop yield and soil health The system is scalable and costeffective It promotes sustainable farming practices The proposed solution demonstrates the effectiveness of AI in agriculture Copyright (c) Journal of Science Engineering Technology and Management Science. All rights reserved 2026