The classification of hunger behaviour of Lates Calcarifer through the integration of image processing technique and k-Nearest Neighbour learning algorithm

• Main Authors: Taha, Zahari, Razman, Mohd Azraan, Abdul Ghani, Ahmad Shahrizan, P.P. Abdul Majeed, Anwar, Musa, Rabiu Muazu, A. Adnan, Fatihah, Sallehudin, Muhammad Firdaus, Mukai, Yukinori
• Format: Conference or Workshop Item
• Language: English; English
• Published: Institute of Physics Publishing 2018
• Subjects: QA Mathematics
• Online Access: http://irep.iium.edu.my/65175/1/65175_The%20classification%20of%20hunger%20behaviour%20of%20Lates%20Calcarifer.pdf; http://irep.iium.edu.my/65175/2/65175_The%20classification%20of%20hunger%20behaviour%20of%20Lates%20Calcarifer_SCOPUS.pdf; http://irep.iium.edu.my/65175/; http://iopscience.iop.org/article/10.1088/1757-899X/342/1/012017

Fish Hunger behaviour is essential in determining the fish feeding routine, particularly for fish farmers. The inability to provide accurate feeding routines (under-feeding or over-feeding) may lead the death of the fish and consequently inhibits the quantity of the fish produced. Moreover, the exce...