Mohd Azraai Mohd Razman

(Author)

Machine Learning in Aquaculture: Hunger Classification of Lates Calcarifer (2020)Paperback - 2020, 4 January 2020

Machine Learning in Aquaculture: Hunger Classification of Lates Calcarifer (2020)
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Part of Series
Springerbriefs in Applied Sciences and Technology
Print Length
60 pages
Language
English
Publisher
Springer
Date Published
4 Jan 2020
ISBN-10
9811522367
ISBN-13
9789811522369

Description

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 farms. Computer vision and machine learning techniques make it possible to quantify the subjective perception of hunger behaviour and so allow food to be provided as necessary. The book analyses the conceptual framework of motion tracking, feeding schedule and prediction classifiers in order to classify the hunger state, and proposes a system comprising an automated feeder system, image-processing module, as well as machine learning classifiers. Furthermore, the system substitutes conventional, complex modelling techniques with a robust, artificial intelligence approach. The findings presented are of interest to researchers, fish farmers, and aquaculture technologist wanting to gain insights into the productivity of fish and fish behaviour.

Product Details

Authors:
Mohd Azraai Mohd RazmanAnwar P P Abdul MajeedRabiu Muazu MusaZahari TahaGian-Antonio SustoYukinori Mukai
Book Edition:
2020
Book Format:
Paperback
Country of Origin:
NL
Date Published:
4 January 2020
Dimensions:
23.39 x 15.6 x 0.36 cm
ISBN-10:
9811522367
ISBN-13:
9789811522369
Language:
English
Location:
Singapore
Pages:
60
Publisher:
Weight:
108.86 gm

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