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Water, an invaluable resource crucial for the survival of all life forms, has drawn attention due to the sluggishness of conventional water quality assessment methods. These methods are time-consuming and labor-intensive. To address this issue, a user-friendly mobile application is conceived. It facilitates the seamless submission of water quality information through Google Earth Engine, which empowers the efficient analysis of satellite images on a large scale. This study unfolds in two phases. Initially, water quality data is derived using GIS techniques. Subsequently, Machine Learning Algorithms are employed to delve deeper into the acquired results. The culmination of this research manifests in a mobile application. Users gain insights into water quality suitability, aiding in the prevention of water-related diseases.
Adharsh et al. (Fri,) studied this question.
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