AI Based Farmer Query Support and Advisory System

Artificial Intelligence (AI) and Machine Learning (ML) are becoming important technologies in modern agriculture for improving crop productivity and providing smart farming solutions. Farmers often face difficulties in selecting suitable crops due to changing environmental conditions, soil quality variations, plant diseases, and lack of proper agricultural guidance. To overcome these challenges, an AI Based Farmer Query Support and Advisory System is developed to provide intelligent crop recommendations and disease detection support using machine learning techniques. The system analyses important agricultural parameters such as soil nutrients (NPK values), temperature, and humidity, rainfall, and crop conditions to recommend the most suitable crops for cultivation. Machine learning algorithms such as Random Forest and Decision Tree are used for prediction and classification. In addition, image processing techniques are integrated for detecting plant diseases from crop leaf images and providing preventive suggestions to farmers. The system also includes Natural Language Processing (NLP) for multilingual interaction, allowing farmers to communicate in regional languages for better accessibility and usability. The proposed system provides real-time recommendations through a user-friendly interface and helps farmers make informed decisions for improving productivity, reducing crop losses, and promoting sustainable farming practices.