A Smart AI-Based Decision Support System for Sustainable Agriculture Management

Agriculture plays a vital role in the global economy, especially in developing countries like India. However, farmers face challenges such as unpredictable weather, lack of timely crop guidance, and limited access to market information. This paper presents the design and development of an AI-based Smart Agriculture Assistant, a mobile application that integrates multiple agricultural services into a single platform. The system provides real-time weather forecasting, crop recommendation, and market price analysis using modern web technologies and APIs. The proposed system follows a client-server architecture with a user-friendly interface, ensuring accessibility for farmers with minimal technical knowledge. Experimental results show improved decision-making, usability, and system efficiency. The application serves as a cost-effective and scalable solution for modern smart agriculture.