Cover Image
Read Now

Machine Learning in Aquaculture Hunger Classification of Lates calcarifer

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...

Full description

Bibliographic Details
Main Authors: Mohd Razman, Mohd Azraai, P. P. Abdul Majeed, Anwar (Author), Muazu Musa, Rabiu (Author), Taha, Zahari (Author)
Format: eBook
Language:English
Published: Singapore Springer Nature Singapore 2020, 2020
Edition:1st ed. 2020
Series:SpringerBriefs in Applied Sciences and Technology
Subjects:
Computational Intelligence
Computer Simulation
Computer Modelling
Animal Culture
Signal, Speech And Image Processing
Animal Science
Signal Processing
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • 1 Introduction
  • 2 Monitoring and feeding integration of demand feeder systems
  • 3 Image processing features extraction on fish behaviour
  • 4 Time-series identification of fish feeding behaviour

Similar Items