Hunger behaviour classification of Lates Calcarifer using machine learning for automatic demand feeder through image processing

The understanding and identification of fish hunger behaviour are non-trivial in the aquaculture industry. This thesis aims at classifying the hunger state of Lates Calcarifer via the integration of computer vision and machine learning. Prior to the classification of the hunger states, the hunger st...

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Bibliographic Details
Main Author: Mohd Azraai, Mohd Razman
Format: Thesis
Language:English
Published: 2019
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/31083/1/Hunger%20behaviour%20classification%20of%20lates%20calcarifer%20using%20machine%20learning%20for%20automatic%20demand.pdf
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