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

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

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...

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Bibliographic Details
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

Internet

http://umpir.ump.edu.my/id/eprint/21439/7/The%20classification%20of%20hunger%20behaviour%20of%20Lates%20Calcarifer.pdf

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