The Identification of Hunger Behaviour of Lates Calcarifer through the Integration of Image Processing Technique and Support Vector Machine
Fish Hunger behaviour is one of the important element in determining the fish feeding routine, especially for farmed fishes. Inaccurate feeding routines (under-feeding or over-feeding) lead the fishes to die and thus, reduces the total production of fishes. The excessive food which is not eaten by f...
Main Authors: | Zahari, Taha, M. A. M., Razman, F. A., Adnan, Ahmad Shahrizan, Abdul Ghani, Anwar, P. P. Abdul Majeed, R. M., Musa, M. F., Sallehudin, Mukai, Y. |
---|---|
Format: | Conference or Workshop Item |
Language: | English |
Published: |
IOP Publishing
2018
|
Subjects: | |
Online Access: | http://umpir.ump.edu.my/id/eprint/17627/ http://umpir.ump.edu.my/id/eprint/17627/ http://umpir.ump.edu.my/id/eprint/17627/13/The%20Identification%20of%20Hunger%20Behaviour%20of-fkp-2018.pdf |
Similar Items
-
The Identification of hunger behaviour of lates calcarifer through the integration of image processing technique and support vector machine
by: Taha, Zahari, et al.
Published: (2018) -
The identification of hunger behaviour of lates calcarifer using k-nearest neighbour
by: Taha, Zahari, et al.
Published: (2018) -
The Identification of hunger behaviour of lates calcarifer using k-nearest neighbour
by: Zahari, Taha, et al.
Published: (2018) -
The classification of hunger behaviour of Lates Calcarifer through the integration of image processing technique and k-Nearest Neighbour learning algorithm
by: Zahari, Taha, et al.
Published: (2018) -
Hunger classification of Lates calcarifer by means of an automated feeder and image processing
by: Mohd Azraai, Mohd Razman, et al.
Published: (2019)