Development of a deep learning-based system for automatic screening of turbot (scophthalmus maximus) chronic furunculosis
The sustained growth of the aquaculture industry brings signifi- cant challenges to which artificial intelligence is emerging as an answer. Indeed, improving the detection and management of anomalies and diseases in large fish populations is one of them. In this work, a deep learning-based model has...
| Authors: | , , , , , , , |
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| Format: | article |
| Publication Date: | 2025 |
| Country: | España |
| Institution: | Universitat Politècnica de Catalunya (UPC) |
| Repository: | UPCommons. Portal del coneixement obert de la UPC |
| Language: | English |
| OAI Identifier: | oai:upcommons.upc.edu:2117/449448 |
| Online Access: | https://hdl.handle.net/2117/449448 https://dx.doi.org/10.5821/iwp.2025.24.13990 |
| Access Level: | Open access |
| Keyword: | Oceanography -- Research Oceanography -- Equipment and supplies Mariculture Artificial intelligence Turbot Flatfish Aeromonas salmonicida subsp. Aquaculture Deep learning Image Classification Oceanografia -- Investigació Oceanografia -- Aparells i instruments Aqüicultura marina Intel·ligència artificial Àrees temàtiques de la UPC::Enginyeria civil::Geologia::Oceanografia Àrees temàtiques de la UPC::Enginyeria electrònica::Instrumentació i mesura Àrees temàtiques de la UPC::Enginyeria agroalimentària::Pesca::Aqüicultura Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial |
| Summary: | The sustained growth of the aquaculture industry brings signifi- cant challenges to which artificial intelligence is emerging as an answer. Indeed, improving the detection and management of anomalies and diseases in large fish populations is one of them. In this work, a deep learning-based model has been validated for accurate screening of chronic furunculosis in turbot using a low- cost, scalable and transferable system. The results show a preci- sion of 82% and a processing time below 1s per fish. |
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