Utilising computer vision techniques for automated density and growth estimation in precision aquaculture systems for prawn cultivation
Prawn farming, a vital sector of the global aquaculture industry, faces challenges with traditional monitoring methods that are labor-intensive, error-prone, and lack real-time capabilities, leading to inefficiencies in feeding and harvest planning, particularly for small- and medium-scale far...
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| Format: | Final Year Project / Dissertation / Thesis |
| Published: |
2025
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| Online Access: | http://eprints.utar.edu.my/7110/1/fyp_CS_2025_LJH.pdf http://eprints.utar.edu.my/7110/ |
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