Artificial intelligence-driven microalgae autotrophic batch cultivation: a comparative study of machine and deep learning-based image classification models

Artificial intelligence-driven microalgae autotrophic batch cultivation: a comparative study of machine and deep learning-based image classification models

The goal of this study is to classify microalgae of different species, using machine learning (ML) and deep learning (DL) methods. At present, we applied gray-scaling, bilateral filtering, adaptive thresholding, Sobel edge detection, and Canny edge detection, for the segmentation of microalgae. Morp...

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Bibliographic Details
Main Authors: Chong, Roy Jun Wei, Khoo, Kuan Shiong, Chew, Kit Wayne, Ting, Huong-Yong, Iwamoto, Koji, Ruan, Roger, Ma, Zengling, Show, Pau Loke
Other Authors: School of Chemistry, Chemical Engineering and Biotechnology
Format: Journal Article
Language:English
Published: 2024
Subjects:
Engineering
Microalgae
Machine learning
Online Access:https://hdl.handle.net/10356/180328

Internet

https://hdl.handle.net/10356/180328

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