Hunger classification of Lates calcarifer by means of an automated feeder and image processing

• Main Authors: Mohd Razman, Mohd Azraai, Susto, Gian Antonio, Cenedese, Angelo, Abdul Majeed, Anwar P.P., Musa, Rabiu Muazu, Abdul Ghani, Ahmad Shahrizan, Adnan, Faiez Azizi, Ismail, Khairul Muttaqin, Taha, Zahari, Mukai, Yukinori
• Format: Article
• Language: English; English
• Published: Elsevier B.V. A 2019
• Subjects: SH Aquaculture. Fisheries. Angling
• Online Access: http://irep.iium.edu.my/75971/1/hunger%20classification%20azraai%202019.pdf; http://irep.iium.edu.my/75971/7/Scopus%20-%20hunger%20classification%20of%20lates%20calcarifer.pdf; http://irep.iium.edu.my/75971/; https://www.sciencedirect.com/science/article/pii/S0168169919305332

In an automated demand feeder system, underlining the parameters that contribute to fish hunger is crucial in order to facilitate an optimised food allocation to the fish. The present investigation is carried out to classify the hunger state of Lates calcarifer. A video surveillance technique is e...