GIS Technologies and electronic field passports in the land use control system: digital twin creation and real-time asset manage-ment

Анотація

The article examines the fundamental transformation of the land-use control system in light of the Agriculture 4.0 concept. The author analyzes the mechanisms of integrating Geographic Information Systems (GIS) and Digital Twin technologies as a foundation for transitioning from descriptive agricultural asset management models to predictive and autonomous control systems. The research aims to substantiate the theoretical and methodological grounds for creating digital twins of fields and to evaluate the effectiveness of electronic land certification in ensuring land-use transparency and enhancing the operational efficiency of agricultural enterprises amidst the current challenges of 2024–2025. The theoretical framework of the study is based on C. Verdouw’s concepts regarding digital twin architecture and IoT-A standards. The research utilizes a systematic analysis of the GIS solutions market (specifically ArcGIS and SuperMap), remote sensing (RS) tools with the application of spectral indices (NDVI, NDMI, EVI), and machine learning algorithms (Random Forest, Savitzky-Golay filtering) to process vegetation time-series data. Four levels of digital twin integration are identified: from static models to autonomous AI-driven systems. It has been proven that electronic field certification, integrated into the state monitoring system pursuant to CMU Resolution No. 848 (2024), ensures the legal and agrochemical transparency of the land bank. The study analyzes the successful implementation of data-driven management by leading Ukrainian companies (NIBULON, Astarta), which achieved resource savings (fertilizers, fuel) of 15–30%. Attention is paid to the specific use of GIS for humanitarian demining and the restoration of war-damaged lands. The study concludes that digital twins transform land from a passive resource into an intelligent asset. The industry’s development prospects are linked to the transition to Agriculture 5.0, in which autonomous management and carbon-monitoring systems will become integral to electronic field passports, ensuring sustainable development in line with European environmental standards. Keywords: GIS technologies, digital twins, electronic field certification, Agriculture 4.0, land-use control, remote sensing, predictive analytics, GeoAI, spectral indices, agricultural assets.

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