Machine learning in aquaculture: hunger classification of Lates calcarifer

• 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: SH151 Aquaculture - Fish Culture
• 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

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...