A REVIEW OF SMART FISH FARMING SYSTEMS

Year 2016, , 193 - 200, 03.08.2016

Faizan Hasan Mustafa Awangku Hassanal Bahar Pengiran Bagul Shigeharu SENOO Senoo Rossita Shapawi

https://doi.org/10.3153/JAEFR16021

Abstract

This paper reviews smart fish
farming systems that demonstrate how complex science and technology can be made
easy for application in seafood production systems. In this context, the focus
of this paper is on the use of artificial intelligence (AI) in fish culture. AI
mimics some of the capabilities of human brain via its Artificial Neural
Network (ANN) in performing certain tasks in a fish hatchery that are crucial
for aquaculture systems. Water quality is of utmost importance for survival,
growth and all other living activities of captive stocks of fish.  The AI-based systems can be designed for
controlling the main parameters of water quality such as salinity, dissolved
oxygen, pH and temperature. This systems approach uses software application
that runs on an application server connected to multi-parameter water quality
meters such as those offered by YSI. The software captures these parameter
values from YSI device and checks if they are within the optimum range. If not,
then an alarm system is triggered for immediate remedial action that can be
executed by personnel handling the hatchery management roles. This improves
accuracy, saves cost and action time to ensure sustainability life-supporting
system in the hatchery. Despite complexity in evolving this system, the
application is simple enough to be operated by an organized fish farming
community.  Because this study introduces
a rather new approach to aquaculture management, presentation of a detailed
background scenario was deemed necessary to put the pertinent issues in the
right perspective. 

Keywords

Smart, Fish farming, Innovation, Tech-nology, Community benefits

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