Application of Image Detection of Algae on Aquaculture
| Autor: | Shu-Min Tsai, Ming-Lin Chuang, Yung-Cheng Yao, Zheng-You Zhang |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
0301 basic medicine
biology Overfishing business.industry Image detection biology.organism_classification Fishery 03 medical and health sciences Food chain 030104 developmental biology 0302 clinical medicine Aquaculture Algae Environmental science Fish Aquaculture industry Natural ecosystem business 030217 neurology & neurosurgery |
| Zdroj: | ICCE-TW |
| DOI: | 10.1109/icce-taiwan49838.2020.9258008 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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