Prototype Smart Fish Farm in Koi Fish Farming

Ginanjar, Pupug and Opipah, Sarah and Rusmana, Dadan and Muhlas, Muhlas and Effendi, Mufid Ridlo and Hamidi, Eki Ahmad Zaki (2021) Prototype Smart Fish Farm in Koi Fish Farming. In: 2021 7th International Conference on Wireless and Telematics (ICWT), 19-20 August 2021.

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Abstract

Koi fish is one type of ornamental fish that is much loved because it has a beautiful shape, color, and pattern. Quality koi fish can be formed with a good maintenance pattern and do not rule out environmental factors and feed, especially when koi fish are still seed-sized and maintained in aquariums when feeding and controlling the state of water temperature should be done regularly. This research aims to create an intelligent fish farm system in the form of feeding and monitoring water temperature based on the internet of things that can be controlled through a smartphone in the Blynk application as an automation system that can increase efficiency in koi fish cultivation. In this prototype, the feeding process uses the HX711 Load Cell module, RTC DS3231 sensor, and DS18B20 sensor for water temperature monitoring controlled using Atmega 2560 Arduino microcontroller with connection access using ESP8266 WiFi module, which is then delivered to Blynk application. Feeding is carried out based on the time and weight of the feed that has been determined. In the temperature control system, if the temperature is less than 25°C, then the lamp will turn on, and if the temperature is more than 27°C, then the fan will turn on, and if the temperature ranges from 25-27°C, then the fan and lights are off. The result of this study is that it can monitor the feeding process and the temperature of aquarium water in koi fish cultivation automatically.

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