AI BASED AGRICULTURE ADVISORY SYSTEM

Abstract

Agriculture plays a significant role in the economy of many countries, especially India, where a large population depends on farming for their livelihood.Farmers often face several challenges such as crop diseases,unpredictable weather conditions, improper fertilizer usage, pest attacks, and lack of timely agricultural guidance. These issues directly affect crop productivity and farmers' income. Traditional farming methods mainly rely on personal experience and expert consultation, which may not always be available at the required time. The AI Based Agriculture Advisory System is designed to provide intelligent and real-time support to farmers using Machine learning. The system enables farmers to upload crop images, describe agricultural problems, and receive accurate suggestions generated using the Machine learning. It also provides recommendations regarding crop health, diseases, fertilizers, pesticides, irrigation methods, soil suitability, and seasonal crop selection. he proposed system is developed using Python Flask as the backend framework, HTML,CSS,and JavaScript for the frontend, SQLite database for data storage, and Google Gemini API for AI-based recommendations. The application provides a simple and userfriendly interface so that farmers can easily interact with the system without requiring technical knowledge. KEYWORDS: Machine Learning, Agriculture Advisory System, Crop Disease Detection, Deep Learning, Flask Framework, Smart Farming, Image Processing, Precision Agriculture.