International Journal of Scientific Research and Engineering Development

Traditional agricultural advisory systems often focus on isolated services like market prices or weather updates, neglecting integrated access to geospatial resources, government schemes, and real-time query resolution. This research presents an AI-Powered Farmer Query Support and Advisory System (FQAS) that integrates market intelligence analysis, geospatial service mapping, and government scheme accessibility to provide holistic support for farmers. The system employs real-time data aggregation for market trends,embedded geospatial datasets for location-based services, and multilingual interfaces for scheme dissemination using natural language processing for query handling. The architecture includes five modules: market trends visualization (95% data freshness), advisory content delivery (88% relevance), query submission and resolution (92% response accuracy), map-based services (integrated with Google Maps API), and government schemes portal (with modal-based details). Testing with 200 farmers in Solapur district shows significant improvements in decision-making efficiency (42.5% improvement, p <0.001) and scheme adoption rates (31.8% improvement, p < 0.001). Farmers using FQAS for four or more sessions achieve 2.8x higher yield optimization compared to traditional methods. The system provides scalable, objective, and accessible agricultural support without requiring specialized extension services. This research addresses the research gap in integrated farmer advisory technology and contributes to equitable agricultural empowerment. Future work includes AI-driven predictive analytics and mobile app integration.