International Journal of Advanced Research in Computer and Communication Engineering

Abstract: Agriculture remains the backbone of many economies, yet farmers continue to face major challenges such as unpredictable weather, pest infestations, crop diseases, and fluctuating market prices. This paper presents a Smart Agriculture Assistant, an AI-driven system designed to provide farmers with real-time decision support through intelligent data analysis and automation. The system integrates machine learning, and satellite data to monitor soil health, detect crop diseases, and predict weather and market trends. A chatbot-based interface enables farmers to interact with the assistant in their local language, ensuring accessibility and ease of use. The proposed solution aims to enhance crop productivity, reduce losses, and promote precision farming practices. Experimental results demonstrate improved accuracy in disease detection and price forecasting compared to existing approaches. The Smart Agriculture Assistant t

Downloads: | DOI: 10.17148/IJARCCE.2025.141057