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Abstract
The main purpose of the conducted research is the development and experimental verification of the methods for detection of fish feeding as well as checking its uniformity in the recirculating aquaculture systems (RAS) using machine vision. A particular emphasis has been set on the methods useful for rainbow trout farming.
Obtained results, based on the analysis of individual video frames, convince that the estimation of feeding uniformity in individual RAS-based farming ponds is possible using the selected local image features without the necessity of camera calibration. The experimental results have been achieved for the images acquired in the RAS-based rainbow trout farming ponds and verified using some publicly available video sequences from tilapia and catfish feeding.
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Details
- Category:
- Other publications
- Type:
- Other publications
- Title of issue:
- Computational Science – ICCS 2021 (LNCS,volume 12745) strony 68 - 74
- ISSN:
- 0302-9743
- Publication year:
- 2021
- DOI:
- Digital Object Identifier (open in new tab) 10.1007/978-3-030-77970-2_6
- Verified by:
- No verification
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