Application of Image Detection of Algae on Aquaculture

Due to the pollution of oceans and overfishing, the catching numbers of wild fish have been greatly reduced. So the aquaculture fishery has gradually become one of the important industries in Taiwan. However, aquaculture still needs to conform to natural ecosystem food chain, and the lowest producer...

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Bibliographic Details
Published in2020 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan) pp. 1 - 2
Main Authors Tsai, Shu-Min, Chuang, Ming-Lin, Yao, Yung-Cheng, Zhang, Zheng-You
Format Conference Proceeding
LanguageEnglish
Published IEEE 28.09.2020
Subjects
Algae
Aquaculture
Image edge detection
Industries
Low-pass filters
Signal processing
Signal processing algorithms
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Summary:Due to the pollution of oceans and overfishing, the catching numbers of wild fish have been greatly reduced. So the aquaculture fishery has gradually become one of the important industries in Taiwan. However, aquaculture still needs to conform to natural ecosystem food chain, and the lowest producer class of the food chain is algae. Hence how much algae feed rotifers has become an important work in aquaculture. This paper proposes a set of algae image detection and measurement system. The system provides high accuracy rate which achieves 86.46%. After image processing and detection algorithm, the amounts of algae are evaluated immediately. In aquaculture industry, the system can reduce the manpower and obtain bio-quantity. It can benefit the aquaculture.
ISSN:2575-8284
DOI:10.1109/ICCE-Taiwan49838.2020.9258008