A fuzzy logic approach for fish growth assessment
College
Gokongwei College of Engineering
Department/Unit
Electronics And Communications Engg
Document Type
Conference Proceeding
Source Title
2019 IEEE 11th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management, HNICEM 2019
Publication Date
11-1-2019
Abstract
Smart aquaculture is making a name these days due to an ever-increasing demand for an alternative source of protein, fatty acids, vitamins, minerals and essential nutrients, which make it superior over animal meat. To address the rising demand for healthy source of meat, aqua farmers adapt methods wherein they can increase the fish supply all year round. This paper makes use of the fuzzy logic system to identify the current growth stage of carp fish in the pond. The output of the system will be used as an actuator for the feeder system in the aquafarm. Results show that the system successfully identified the current status of the fish in the study. © 2019 IEEE.
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Digitial Object Identifier (DOI)
10.1109/HNICEM48295.2019.9072756
Recommended Citation
Magsumbol, J. V., Almero, V., Rosales, M., Bandala, A. A., & Dadios, E. P. (2019). A fuzzy logic approach for fish growth assessment. 2019 IEEE 11th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management, HNICEM 2019 https://doi.org/10.1109/HNICEM48295.2019.9072756
Disciplines
Electrical and Computer Engineering
Keywords
Aquaculture—Technological innovations; Fishes—Growth; Carp fisheries
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