Artificial Intelligence Approaches for Sustainable Resource Management

Elena M. Rodriguez

Artificial Intelligence Approaches for Sustainable Resource Management

Author(s)	Dr. Elena M. Rodriguez
Country	Spain
Abstract	Sustainable resource management has become increasingly important as organizations and societies face growing pressures related to resource scarcity, environmental degradation, climate variability, population growth, and increasing consumption. Artificial intelligence provides advanced computational capabilities that can support efficient resource allocation, predictive analysis, environmental monitoring, demand forecasting, and adaptive management. This study examines artificial intelligence approaches for sustainable resource management, focusing on machine learning, predictive analytics, intelligent optimization, Internet of Things integration, data-driven decision-making, and automated monitoring. A qualitative descriptive and conceptual research design was adopted using secondary academic literature. The analysis identifies several areas in which artificial intelligence can support sustainable resource management, including water management, energy optimization, agricultural resource utilization, waste management, biodiversity monitoring, and supply-chain resource efficiency. AI-based predictive models can identify consumption patterns and anticipate resource requirements, while optimization techniques can support more efficient allocation of limited resources. AI-enabled monitoring systems can also process real-time information from sensors and connected devices to identify environmental changes and operational inefficiencies. Nevertheless, implementation challenges include data availability, data quality, computational requirements, technological costs, algorithmic transparency, cybersecurity, privacy, technical expertise, and integration with existing management systems. The study emphasizes that artificial intelligence should be integrated with institutional knowledge, environmental objectives, human decision-making, and responsible governance. Effective AI implementation requires reliable data infrastructures, skilled personnel, transparent algorithms, appropriate governance mechanisms, and continuous evaluation. The study contributes a conceptual perspective on how AI can support sustainable resource management while highlighting the organizational, technological, and governance conditions necessary for responsible and effective implementation.
Keywords	Artificial Intelligence, Sustainable Resource Management, Machine Learning, Predictive Analytics, Resource Optimization, Environmental Management, Smart Resource Systems, Sustainability, Digital Transformation, Intelligent Systems
Field	Engineering
Published In	Volume 7, Issue 5, September-October 2025
Published On	2025-09-07

View / Download PDF File

About AIJARD Fees & Payment Current Issue Publication Archive	Submit Research Paper Track Submission Status Publication Guidelines Publication Ethics Peer Review & Plagiarism	Join as a Reviewer Editors & Reviewers Reviewer Referral Program Get Reviewer Membership Certi.	Website/Journal Policies Usage Policy Content Policies Privacy Policy

Contact Us		+1-872-302-3851	editor@aijard.com

American International Journal of Advanced Research and Development

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Artificial Intelligence Approaches for Sustainable Resource Management

Share this