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Machine Learning in Aquaculture
- Hunger Classification of Lates calcarifer
Engelsk
Bogcover for Machine Learning in Aquaculture af Mohd Azraai Mohd Razman, Zahari Taha, Yukinori Mukai, Rabiu Muazu Musa, Anwar P. P. Abdul Majeed, Gian-Antonio Susto, 9789811522369
Specifikationer
Sprog:
Engelsk
Sider:
60
ISBN-13:
9789811522369
Indbinding:
Paperback
ISBN-10:
9811522367
Kategori:
Udg. Dato:
4 jan 2020
Størrelse i cm:
23,5 x 15,5
Oplagsdato:
4 jan 2020

Machine Learning in Aquaculture

- Hunger Classification of Lates calcarifer
Engelsk
Paperback 2020
Format:

Bog beskrivelse

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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Specifikationer
Sprog:
Engelsk
Sider:
60
ISBN-13:
9789811522369
Indbinding:
Paperback
ISBN-10:
9811522367
Kategori:
Udg. Dato:
4 jan 2020
Størrelse i cm:
23,5 x 15,5
Oplagsdato:
4 jan 2020
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