2021
DOI: 10.31763/sitech.v2i2.638
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Water quality identification based on remote sensing image in industrial waste disposal using convolutional neural networks

Abstract: Measuring the quality of river water used as industrial wastewater disposal is needed to maintain water quality from pollution. The chemical industry produces hazardous waste containing toxic materials and heavy metals. At specific concentrations, industrial waste can result in bacteriological contamination and excessive nutrient load (eutrophication). Using the Convolutional Neural Network (CNN), the method for measuring water quality processes remote sensing images taken via an RGB camera on an Unmanned Aeri… Show more

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