Machine learning in aquaculture : hunger classification of Lates Calcarifer / Mohd Azraai Mohd Razman, Anwar P.P. Abdul Majeed, Rabiu Muazu Musa, Zahari Taha, Gian-Antonio Susto, Yukinori Mukai.

This book highlights the fundamental association between aquaculture and engineering in classifying fish hunger behaviour by means of machine learning techniques. Understanding the underlying factors that affect fish growth is essential, since they have implications for higher productivity in fish f...

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Bibliographic Details
Main Author: Mohd Razman, Mohd Azraai
Other Authors: Abdul Majeed, Anwar P. P., Muazu Musa, Rabiu, Zahari Taha, Susto, Gian Antonio, Mukai, Yukinori
Format: eBook
Language:English
Published: Singapore : Springer, 2020.
Series:SpringerBriefs in applied sciences and technology.
Subjects:
Online Access:Click for online access
Table of Contents:
  • 1 Introduction
  • 2 Monitoring and feeding integration of demand feeder systems
  • 3 Image processing features extraction on fish behaviour
  • 4 Time-series identification of fish feeding behaviour.