Developing fish feeder system using Raspberry Pi

Hasim, Hidayatul Nur Binti; Ramalingam, Mritha; Ernawan, Ferda; Puviarasi, R.

doi:10.1109/aeeicb.2017.7972422

Cited by 14 publications

(5 citation statements)

References 4 publications

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“…The development of the Automatic Home-Based Fish Farming System Using the Internet of Things relates to the research work of [1], [2] and [4]. This system can facilitate the automatic dispensing of fish food.…”

Section: Conclusion and Discussionmentioning

confidence: 99%

“…However, looking after fish always has some problems such as the time it takes time to look after the fish with regard to feeding them, providing fresh water as well as ensuring the quality of the fish. As a result, it is hard work [1] for people who look after fish as a hobby and they often do not have enough time. Automatic feeding fish systems [2][3] are more convenient for such individuals.…”

Section: Introductionmentioning

confidence: 99%

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Development of Automatic Home-Based Fish Farming using the Internet of Things

Janpla¹,

Tachpetpaiboon²,

Jewpanich³

2019

IJRTE

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Abstract: This research purposed to design an automatic home-based fish farming using the internet of things and to evaluate its efficiency. There were 3 processes in this research: 1. creating a home-based fish farming environment (fish pond) 2. designing and developing home-based fish farming by using the internet of things and 3. experimenting and implementing the system.The fish pond (90 x 180 x 50 cm) was made up of 90 blocks. It was coated with waterproofed plastic in order to contain a maximum of 80 cm x 170 cm x 40 cm. or 0.544 m3 of water. The automatic home-based fish farming system using the internet of things consisted of 6 parts in the form of 1. A NodeMCU Microcontroller 2. An automatic fish feeder 3. A relay module 4. Home Wi-Fi 5. Web Application 6. Line Notify. The NodeMCU Microcontroller was the main module use to control the automatic working of the system.The experiment resulted in a number of findings. Firstly, Fish feeder experiment, Experiment for the fish feeder to release food for 30 grams, 5 times, average time 23 seconds, error rate + 8.70%, -7.25%; Experiment for the fish feeder to release food for 45 grams, 5 times, average time 35 seconds, error rate + 10.00%, -8.57%; Experiment for the fish feeder to release food for 60 grams, 5 times, average time 48 seconds, error rate + 2.08%, -5.27%; finally, 75g fish feeder, 5 times, average time 75 seconds, error rate +8.33%, -8.02%. As a result, the dispensing variation was no more than ±10%. Secondly, the timing of this machine was divided into 4 periods: during days 1 to 30, it dispensed food 30g. During days 31 to 60, it dispensed food 45g. During days 61 to 90, it dispensed food 60g. During days 91 to 142, it dispensed food 75g. It would feed 2 times: 7 am. and 6 pm. each day. Thirdly, the test was to turn on and off the water and oxygen pumps by just clicking a button on the web application. The system was used to feed 80 3-inch long catfish over a period of 142 days. At the end of the period, 43 catfish were left with 37 having died. The survival rate was 54%. These fish weighed 5,380 grams in total and their growth varied. There were 24 small fish which weighed 120-220 gram (61%), 10 medium sized fish which weighed 230-330 (23%) and 7 large fish which weighed 340-440 (16%).As a result, this system could be used for feeding fish, but it needs some improvements such as the introduction of a waste water monitoring system and an automatic water changing system which would enhance the automatic working of the system.

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Section: Conclusion and Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Development of Automatic Home-Based Fish Farming using the Internet of Things

Janpla¹,

Tachpetpaiboon²,

Jewpanich³

2019

IJRTE

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show abstract

“…The system has temperature and turbidity sensor, automatic water drain, and live stream features. [37]. Besides that, an automatic fish feeder is a device that automatically feed the fish 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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“…Stocking density is the weight of fish kept in a specified quantity of water. It has been reported that an increase in stocking density can be a source of stress with effects including reduced growth rate, health of fish and a range of physiological processes [10]. Similarly, an increase in stocking density can cause a decrease in the consumption of food for some species whereas increasing survival rate and growth for others [11].…”

Section: Stocking Densitymentioning

confidence: 99%