Deep-learning-based water quality assessment from watercolor image analysis

As environmental issues intensify, water quality monitoring is crucial for environmental protection. Traditional methods, while accurate, are costly and time-consuming. Deep learning offers a novel approach. This paper explores water quality assessment using watercolor images and deep learning. By analyzing image color, texture, and other features, we achieve rapid, accurate water quality evaluations. This method enhances monitoring efficiency and reduces costs, supporting water quality management efforts. It leverages deep learning and image processing to offer a practical, innovative solution to a pressing environmental challenge.