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Fish Activity State and Fuzzy Inference based an Intelligence Fish Feeding Model

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Younghak ShinAuthors Info & Claims

SMA 2020: The 9th International Conference on Smart Media and Applications

Pages 405 - 406

https://doi.org/10.1145/3426020.3426146

Published: 04 November 2021 Publication History

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Abstract

This study proposes a Fuzzy Inference based Intelligent Fish Feeding Model (FIIFF Inference Model) based on fish activity status, especially Convict grouper activities. The proposed FIIFF Inference Model estimated the feeding amount according to the 3 kinds of fish activities (bottom swimming, slow swimming, jump), the weight of fishes, the temperature of water, and the amount of oxygen in the aqua farm. The advantages of the FIIFF Inference Model intelligently estimated the fish feeding amount according to the fish hungry status in real time.

References

[1]

Han Suk Choi, Yeong-ju Kim, “Fuzzy Inference based an Intelligent Fish Feeding Model Using Olive Flounder(Paralichthys olivaceus) Activity Status”, SMA 2019, p208-210, 2019.12.05-07

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[2]

F. L. Chung, Z. H. Deng, and S. T. Wang, "From minimum enclosing ball to fast fuzzy inference system training on large data sets", IEEE Trans. Fuzzy Syst., Vol. 17, No. 1, pp. 173-184, 2009.02

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Index Terms

Fish Activity State and Fuzzy Inference based an Intelligence Fish Feeding Model
1. Applied computing
2. Computing methodologies
  1. Artificial intelligence
    1. Knowledge representation and reasoning
      1. Probabilistic reasoning
      2. Vagueness and fuzzy logic
  2. Modeling and simulation

Index terms have been assigned to the content through auto-classification.

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SMA 2020: The 9th International Conference on Smart Media and Applications

September 2020

491 pages

ISBN:9781450389259

DOI:10.1145/3426020

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

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Published: 04 November 2021

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SMA 2020

SMA 2020: The 9th International Conference on Smart Media and Applications

September 17 - 19, 2020

Jeju, Republic of Korea

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Abstract

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Recommendations

A smart fish feeding system for internet of things based aquariums

Fish biorobotics

Fish Module ‐ A prognostic tool for modeling the optimal environmental conditions for fish▪

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