Yield Prediction Using Artificial Intelligence and Farming Chatbot System

Agriculture is an important sector in India, and farmers depend on environmental conditions for crop production. Selecting an unsuitable crop may result in low yield and financial loss. This paper presents an AI-based smart farming prediction system that helps farmers select suitable crops based on soil and weather conditions. The system uses machine learning techniques to analyze agricultural data such as soil type, rainfall, humidity, and temperature. Based on the given inputs, the system predicts the most suitable crop for farming. The system is designed to be simple and user-friendly so that farmers can easily use it. This approach can improve agricultural productivity and support smart farming.