Pengembangan Perangkat Adaptive Smart Fish Feeder Untuk Budidaya Ikan Air Tawar Berbasis Esp 32

Pratama, Hendry (2024) Pengembangan Perangkat Adaptive Smart Fish Feeder Untuk Budidaya Ikan Air Tawar Berbasis Esp 32. Undergraduate thesis, Politeknik Negeri Jember.

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Abstract

The development of the Adaptive Smart Fish Feeder device for freshwater fish farming based on ESP32 is an innovative solution that combines Internet of Things (IoT) technology with adaptive intelligence to increase efficiency and productivity in fish farming. This device is designed to automatically provide feed to freshwater fish by taking into account factors such as the age of the fish, water pH and different feed requirements at each stage of fish growth. This device uses an ESP32 microcontroller as its brain which is equipped with sensors to monitor pond conditions. Data collected by these sensors is analyzed in real-time using an artificial intelligence algorithm to determine the optimal amount and time of feeding for the fish. Additionally, the device is equipped with adaptive capabilities that allow it to learn from the fish's diet and adjust feeding patterns automatically.

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