Surface water quality classification based on MobileNetV2

Abstract

Water quality detection is important for water resources protection. There is an urgent need for convenient and precise water quality detection methods. In this paper a deep learning based detection method is proposed. A MobileNetV2 classifier is constructed and tested aiming at surface water quality classification. The experimental results show that the classifier has excellent performance and can also be deployed on edge devices conveniently.