Water-use Efficiency with Machine Learning: A Global Perspective

Abstract

Water scarcity is a pressing social, economic, and environmental issue with significant corporate sustainability and planetary health implications. Therefore, improving the efficiency of water resources use is an important research issue. With the rapid development of machine learning technology, relying on the learning ability of learning algorithms and the support of computer computing power, it is possible to optimize the global allocation of water resources through machine learning technology. This paper investigates the progress made by machine learning methods in water use efficiency. Specifically, this paper introduces the basic principle of the machine learning method for evaluating water resources efficiency, including classification and regression tasks. Then, several mainstream evaluation indexes of water resource utilization efficiency are introduced. Finally, this paper analyzes the main challenges and future development direction of machine learning to improve the efficiency of water resources utilization. This paper aims to provide a complete research view for researchers using machine learning methods to improve water efficiency.