Contemporary global challenges-including population growth, industrialization, urbanization, and escalating ecological crises-require innovative approaches to natural resource management. Traditional methods are often insufficient due to limitations in data collection, processing, and analysis. Artificial intelligence (AI) emerges as a transformative tool, enabling a transition from exploitative to sustainable resource use. Machine learning and deep learning algorithms allow for comprehensive analysis of multidimensional ecological, climatic, and economic data, identification of hidden patterns, and development of predictive models that improve decision making, minimize ecological risks, and support adaptive strategies under changing environmental conditions. AI can integrate with other digital technologies such as the Internet of Things (IoT), Geographic Information Systems (GIS), and blockchain to enable real-time monitoring, transparent governance, and optimized spatial planning. Practical applications in agriculture, forestry, and water management demonstrate measurable gains in resource efficiency, ecosystem protection, and resilience to climate variability. Nevertheless, AI adoption faces technological, socio-economic, ethical, and institutional challenges, including data quality, workforce transformation, and regulatory gaps. This study examines AI’s current and potential role in sustainable resource management in Ukraine, providing insights and recommendations for integrating data-driven, intelligent strategies into environmental governance, policy-making, and long-term ecological sustainability.
Author Biography
Olena Suduk, National University of Water and Environmental Engineering, Rivne
Candidate of Agricultural Sciences (Ph.D.), Associate Professor
