Machine learning in aquaculture: hunger classification of Lates calcarifer

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 Authors: Mohd Razman, Mohd Azraai, P. P. Abdul Majeed, Anwar, Musa, Rabiu Muazu, Taha, Zahari, Susto, Gian-Antonio, Mukai, Yukinori
Format: Book
Language:English
Published: Springer Singapore 2020
Subjects:
Online Access:http://irep.iium.edu.my/80177/1/80177_Machine%20learning%20in%20aquaculture.pdf
http://irep.iium.edu.my/80177/
https://www.springer.com/gp/book/9789811522369#aboutBook
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