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Deep learning-based morphology classification of activated sludge flocs in wastewater treatment plants

Hisashi Satoh, Yukari Kashimoto, Naoki Takahashi, Takashi Tsujimura

2020Environmental Science Water Research & Technology29 citationsDOI

Abstract

A deep learning-based two-label classifier 1 recognized a 20% morphological change in the activated flocs. Classifier-2 quantitatively recognized an abundance of filamentous bacteria in activated flocs.

Topics & Concepts

Activated sludgeWastewaterSewage treatmentMorphology (biology)Environmental scienceWaste managementEnvironmental engineeringEngineeringGeologyPaleontologyWater Quality Monitoring TechnologiesMachine Learning and Data ClassificationSmart Agriculture and AI
Deep learning-based morphology classification of activated sludge flocs in wastewater treatment plants | Litcius