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

• Main Authors: Zahari, Taha, M. A. M., Razman, Ahmad Shahrizan, Abdul Ghani, A. P. P., Abdul Majeed, R. M., Musa, F. A., Adnan, M. F., Sallehudin, Y., Mukai
• Format: Conference or Workshop Item
• Language: English
• Published: IOP Publishing Ltd 2018
• Subjects: TS Manufactures
• Online Access: http://umpir.ump.edu.my/id/eprint/21439/7/The%20classification%20of%20hunger%20behaviour%20of%20Lates%20Calcarifer.pdf; http://umpir.ump.edu.my/id/eprint/21439/; https://doi.org/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 overfeeding) may lead the death of the fish and consequently inhibits the quantity of the fish produced. Moreover, the exces...