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portada Machine Learning in Aquaculture: Hunger Classification of Lates Calcarifer (Springerbriefs in Applied Sciences and Technology)
Type
Physical Book
Publisher
Author
Year
2020
Language
English
Pages
60
Format
Paperback
ISBN13
9789811522369
Edition No.
1
Categories

Machine Learning in Aquaculture: Hunger Classification of Lates Calcarifer (Springerbriefs in Applied Sciences and Technology)

Mohd Azraai Mohd Razman; Anwar P. P. Abdul Majeed; Rabiu Muazu Musa (Author) · Springer · Paperback

Machine Learning in Aquaculture: Hunger Classification of Lates Calcarifer (Springerbriefs in Applied Sciences and Technology) - Mohd Azraai Mohd Razman; Anwar P. P. Abdul Majeed; Rabiu Muazu Musa

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Synopsis "Machine Learning in Aquaculture: Hunger Classification of Lates Calcarifer (Springerbriefs in Applied Sciences and Technology) "

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.

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