Harnessing AI for Sustainable Resource Management: Strategies and Future Prospects

Energy efficiency and resource management are essential for tackling complicated environmental and economic issues in the age of globalization and fast industrial development. Effective management lowers expenses and promotes sustainability. Artificial Intelligence (AI) technology improves resource management and energy efficiency by automating processes, improving forecasts, and analyzing data more quickly. Even with advancements, problems like imprecise forecasts of energy consumption and wasteful resource use still exist. The use of AI in agriculture, waste and energy management, biodiversity conservation, supply chain management, and natural resource management is examined in this chapter. With an emphasis on automation, optimization, and prediction through Deep Learning techniques like Convolutional Neural Networks (CNN) and Long Short-Term Memory (LSTM) networks, this chapter also examines AI's potential to increase the effectiveness of energy and resource management. This chapter examines the benefits and risks of applying AI to the creation of political and legal frameworks that guarantee the safe and efficient deployment of technical systems as well as long-term control over their operation and development patterns. This chapter offers important insights into the present and future directions of AI-driven sustainable resource management through a combination of theoretical understanding and applied research.