Introduction

Mohd Azraai Mohd Razman; Anwar P. P. Abdul Majeed; Rabiu Muazu Musa; Zahari Taha; Gian Antonio Susto; Yukinori Mukai

doi:10.1007/978-981-15-2237-6_1

Introduction

Mohd Azraai Mohd Razman^*, Anwar P. P. Abdul Majeed, Rabiu Muazu Musa, Zahari Taha, Gian Antonio Susto, Yukinori Mukai

^*Corresponding author for this work

Research output: Contribution to journal › Editorial

Abstract

This chapter starts by exploring the motivation behind identifying fish hunger behaviour. The elaboration on factor triggers fish behaviour which will be explained specifically towards hunger characteristics. The implementation of technologies using image processing to extract significant parameters will be discussed. Lastly, the machine learning (ML) techniques are used in fish behaviour for classification. The outcome of this chapter is to recognize the underlining framework by combining aquaculture, engineering and artificial intelligence (AI).

Original language	English
Pages (from-to)	1-9
Number of pages	9
Journal	SpringerBriefs in Applied Sciences and Technology
DOIs	https://doi.org/10.1007/978-981-15-2237-6_1
Publication status	Published - 2020
Externally published	Yes

Keywords

Aquaculture
Classification
Fish hunger behaviour
Image processing
Lates calcarifer
Machine learning

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10.1007/978-981-15-2237-6_1

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title = "Introduction",

abstract = "This chapter starts by exploring the motivation behind identifying fish hunger behaviour. The elaboration on factor triggers fish behaviour which will be explained specifically towards hunger characteristics. The implementation of technologies using image processing to extract significant parameters will be discussed. Lastly, the machine learning (ML) techniques are used in fish behaviour for classification. The outcome of this chapter is to recognize the underlining framework by combining aquaculture, engineering and artificial intelligence (AI).",

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author = "{Mohd Razman}, {Mohd Azraai} and {P. P. Abdul Majeed}, Anwar and {Muazu Musa}, Rabiu and Zahari Taha and Susto, {Gian Antonio} and Yukinori Mukai",

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AU - P. P. Abdul Majeed, Anwar

AU - Muazu Musa, Rabiu

AU - Taha, Zahari

AU - Susto, Gian Antonio

AU - Mukai, Yukinori

N1 - Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2020.

PY - 2020

Y1 - 2020

N2 - This chapter starts by exploring the motivation behind identifying fish hunger behaviour. The elaboration on factor triggers fish behaviour which will be explained specifically towards hunger characteristics. The implementation of technologies using image processing to extract significant parameters will be discussed. Lastly, the machine learning (ML) techniques are used in fish behaviour for classification. The outcome of this chapter is to recognize the underlining framework by combining aquaculture, engineering and artificial intelligence (AI).

AB - This chapter starts by exploring the motivation behind identifying fish hunger behaviour. The elaboration on factor triggers fish behaviour which will be explained specifically towards hunger characteristics. The implementation of technologies using image processing to extract significant parameters will be discussed. Lastly, the machine learning (ML) techniques are used in fish behaviour for classification. The outcome of this chapter is to recognize the underlining framework by combining aquaculture, engineering and artificial intelligence (AI).

KW - Aquaculture

KW - Classification

KW - Fish hunger behaviour

KW - Image processing

KW - Lates calcarifer

KW - Machine learning

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ER -

Introduction

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Keywords

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