Development of Smart Fish Farming System Based on IoT Using Wasted Warm Water Energy

Kim, Byeong Jun; Shin, Kyoo Jae

doi:10.5302/j.icros.2018.17.0214

Cited by 6 publications

(2 citation statements)

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“…Besides that, an automatic fish feeder is a device that automatically feed the fish at a predetermined time. In a way, it is to control the fish feeding activity by using a fish feeder that combined the mechanical system and electrical system to form a device instead of manually feeding the fish by hand [38]. In another research article in [25], this study automates the system and decrease manual labour by using specified number of specific sensors to monitor the fishes at a predetermined time.…”

Section: Literature Reviewmentioning

confidence: 99%

Improving Fish Quality and Yield: An Automated Monitoring System for Intensive Aquaculture

Anne Dashini Kannan,

Chong Peng Lean,

Chen

et al. 2024

Malaysian J. Sci. Adv. Tech.

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The growing interest in the fish farming industry is driven by the depletion of natural fish stocks in the market. However, intensive aquaculture systems, which involve raising fish in artificial tanks and cages, can lead to challenges such as low-quality fish and increased mortality rates, depending on the species being cultivated. To address these issues and maximize yield, this paper proposes a fish quality monitoring system with automatic correction. The system focuses on monitoring and maintaining critical water quality parameters essential for fish growth, including temperature, water level, and pH level. The system comprises an Arduino connected to sensors and a web-based application for data collection and monitoring. Correction devices such as an aquarium heater, a valve, and a water pump are integrated into the system to maintain these parameters at optimal levels for fish development. To assess the system's efficiency and reliability, two fish monitoring setups were compared: one using the proposed controlled system and the other using a traditional setup. Results indicate that the controlled system increased efficiency, reduced stress on fish farmers, decreased fish mortality rates, and improved product quality compared to the traditional setup.

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Section: Literature Reviewmentioning

confidence: 99%

Improving Fish Quality and Yield: An Automated Monitoring System for Intensive Aquaculture

Anne Dashini Kannan,

Chong Peng Lean,

Chen

et al. 2024

Malaysian J. Sci. Adv. Tech.

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show abstract

“…The collected data are stored in a cloud computing system and then transferred to the aqua farmer mobile. In a smart fish farm, Kim et al [67] setup a recirculating aquaculture system (RAS) with water quality monitoring sensors, MQTT protocol and a MICOM controller. Al-Hussaini et al [68] also focuses on automatic data acquisition and monitoring systems for RAS using fog computing technology and low-cost systems with Raspberry Pi, to overcome the existing problems.…”

Section: Water Quality Monitoring In Smart Aquaculturementioning

confidence: 99%

Overview of Smart Aquaculture System: Focusing on Applications of Machine Learning and Computer Vision

Kim

2021

Electronics

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Smart aquaculture is nowadays one of the sustainable development trends for the aquaculture industry in intelligence and automation. Modern intelligent technologies have brought huge benefits to many fields including aquaculture to reduce labor, enhance aquaculture production, and be friendly to the environment. Machine learning is a subdivision of artificial intelligence (AI) by using trained algorithm models to recognize and learn traits from the data it watches. To date, there are several studies about applications of machine learning for smart aquaculture including measuring size, weight, grading, disease detection, and species classification. This review provides and overview of the development of smart aquaculture and intelligent technology. We summarized and collected 100 articles about machine learning in smart aquaculture from nearly 10 years about the methodology, results as well as the recent technology that should be used for development of smart aquaculture. We hope that this review will give readers interested in this field useful information.

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Deep Tech Practices in Aquaculture

Rahimi-Midani

2023

Deep Technology for Sustainable Fisheries and Aquaculture

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Development of Smart Fish Farming System Based on IoT Using Wasted Warm Water Energy

Cited by 6 publications

References 0 publications

Improving Fish Quality and Yield: An Automated Monitoring System for Intensive Aquaculture

Improving Fish Quality and Yield: An Automated Monitoring System for Intensive Aquaculture

Overview of Smart Aquaculture System: Focusing on Applications of Machine Learning and Computer Vision

Deep Tech Practices in Aquaculture

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