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 over-feeding) may lead the death of the fish and consequently inhibits the quantity of the fish produced. Moreover, the exce...
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
Institute of Physics Publishing
2018
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/65175/ http://irep.iium.edu.my/65175/ http://irep.iium.edu.my/65175/ 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 |
Internet
http://irep.iium.edu.my/65175/http://irep.iium.edu.my/65175/
http://irep.iium.edu.my/65175/
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