Rotifer detection and tracking framework using deep learning for automatic culture systems

Rotifer detection and tracking framework using deep learning for automatic culture systems

Although rotifers (Brachionus plicatilis sp. complex) are an important first feed source in marine fish aquaculture, their management is quite time-consuming because their populations and movements need to be monitored daily. This management is still performed manually, and automation is required. I...

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Bibliographic Details
Main Authors: Naoto Ienaga, Toshinori Takashi, Hitoko Tamamizu, Kei Terayama
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Smart Agricultural Technology
Subjects:
Rotifer
Automatic measurement
Deep learning
Object detection
Multiple object tracking
Online Access:http://www.sciencedirect.com/science/article/pii/S2772375524001825

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http://www.sciencedirect.com/science/article/pii/S2772375524001825

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