AGROPRO – AI-POWERED SMART AGRICULTURAL ADVISORY PLATFORM

Computer Engineering

Agriculture in India faces critical challenges including suboptimal crop selection, delayed disease detection, and inefficient resource utilization, resulting in annual losses exceeding Rs 92,000 crore. This paper presents Agro- Pro, an integrated AI-powered web platform that provides multilingual (English, Kannada, Hindi) agricultural advisory services to Karnataka farmers. The system employs five machine learning models: XGBoost classifier for crop recommendation (93.53% accuracy), ResNet-9 CNN for plant disease detection (95.2% accuracy), rule- based expert system for fertilizer advisory (100% accuracy), and Random Forest regressors for yield (96.83% R²) and price prediction (93.30% R²). A novel contribution is the integration of a Smart NLP Assistant that under- stands natural language queries in regional languages and provides context-aware responses using real-time ML predictions. Deployed as a Flask web application with 21+ features including irrigation management, farm calen- dar, expense tracking, and government schemes database, AgroPro demonstrates 95.6% average accuracy across all models. Field testing with 150 farmers showed 78% adoption rate and projected Rs 30,000-65,000 annual savings per farmer. The platform addresses the critical language barrier affecting 70% of Karnataka’s 7 million farmers, representing a significant advancement in precision agriculture technology for developing economies. The system integrates multiple AI/ML models in a production-ready architecture with comprehensive security measures, multilingual NLP interface, and validated economic impact, making it a holistic solution for small and marginal farmers in rural Karnataka.

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