Research on Smart Cast for Fish Cage Aquaculture based on image processing

DOI

10.2991/wartia-16.2016.276How to use a DOI?

Keywords

Fish cage aquaculture, Image processing, Feature extraction, Smart cast

Abstract

In recent years, with the development of fish cage aquaculture technology, the traditional way of bait casting cannot meet the growing demands any more. As fishes feed with certain regularities, it is important to acquire the feeding conditions of the fishes. Through analyzing the images of fishes feed by the way of image processing, the feature of the shape and the area of fishes is extracted. The gross of feeding is setup based on the shape, which reflects the weight of fish. The feeding amount is changed with the variation of the image of fish in feeding at real time. The cast program according the extracted feature and the cage aquaculture experiment is designed to verify the feeding effect. Experimental result shows that the smart cast can setup the bait according to the growing requirement of the fishes. The bait utilization will be increased, and water pollution will be reduced, and the fish quality can be improved as well through the smart cast system.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Liyong Hu
AU  - Di Zheng
AU  - Feng Qiao
AU  - Jianming Zhan
AU  - Junhua Chen
PY  - 2016/05
DA  - 2016/05
TI  - Research on Smart Cast for Fish Cage Aquaculture based on image processing
BT  - Proceedings of the 2016 2nd Workshop on Advanced Research and Technology in Industry Applications
PB  - Atlantis Press
SP  - 1322
EP  - 1327
SN  - 2352-5401
UR  - https://doi.org/10.2991/wartia-16.2016.276
DO  - 10.2991/wartia-16.2016.276
ID  - Hu2016/05
ER  -