Scholarly record
INTRODUCING A GIS-INTERLINKED EXPERT SYSTEM FOR PARCEL-FOCUSED NATURE-FRIENDLY AGRICULTURAL MANAGEMENT DECISION SUPPORT
Abstract
Agriculture is increasingly affected by climate change, soil degradation, and the need for sustainable land management, creating demand for advanced decision-support tools capable of integrating heterogeneous spatial and management data. The aim of this contribution is to introduce a system for parcel-specific agricultural advisory based on the integration of GIS, LPIS data, expert methodologies, and AI-driven analytical workflows. The system is designed as a modular web-based platform with a chat-oriented interface enabling interaction between users and an AI assistant. It integrates spatial, environmental, agroclimatic, and management data linked to agricultural parcels and transforms them into structured analytical recommendations. A key component is a state-driven workflow guiding users from data acquisition to expert analysis and report generation, while ensuring transparency and control of expert content through a multi-layer management model. Presented framework enables flexible and scalable parcel-level agricultural advisory and has potential applications in sustainable soil management, erosion assessment, and climate-related decision support. The system is developed in Slovakia under expert auspices of the Slovak University of Agriculture.
Publication details
References13
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