IMPLEMENTATION OF ARTIFICIAL INTELLIGENCE IN THE SYSTEM OF LAND PROPERTY COMPLEXES MANAGEMENT AND RECLAMATION MEASURES
Abstract and keywords
Abstract (English):
This article examines the role of artificial intelligence (AI) in improving land law relations and land reclamation management. In the context of global climate change, urbanization and water scarcity, effective management of land and water resources is becoming increasingly important. Artificial intelligence has significant potential to improve the accuracy and efficiency of these processes, including land monitoring, water resource analysis, risk forecasting, and optimization of land reclamation activities. The article discusses the use of digital learning, big data analytics, and geographic information systems to automate land management procedures, improve registration and distribution of land rights, and improve the quality and sustainability of land reclamation. The document highlights the need to integrate artificial intelligence into the regulatory framework to ensure legislative certainty and effective management of land and water resources. In the context of global challenges, climate change and population growth, artificial intelligence is becoming a necessary tool for achieving food security. In 2025, agriculture became one of the priority sectors of the Russian economy for the introduction of artificial intelligence (AI). Since 2021, the federal project "Artificial Intelligence" has been developed and implemented in Russia as part of the national project "Digital Economy". In the field of agriculture, AI plays a leading role: the use of AI-based robotic technology, an intelligent decision support system in crop and livestock production; monitoring of agricultural land using UAVs; assessment of the investment attractiveness of agricultural land; "spot farming" and soil monitoring; forecasting yields and solving other tasks.

Keywords:
artificial Intelligence, land legal relations, land reclamation management, big data analytics, geographic information systems, land rights, water resource management, sustainable reclamation, resource optimization.
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References

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