• Palash Gade
• Mayur Vaidya
• Devashish Jaiswal
• Akhilesh Titarmare
• Rahul Bambodkar

Aquaculture provides most of the seafood needed in the globe, but it also need better agricultural methods. This paper presents an Automatic Fish Feeder (AFF) system driven by the Internet of Things (IoT). The AFF system uses a range of sensors, including those that assess ambient conditions, fish activity, and water quality, to collect data in real-time. Microcontrollers process the data and wirelessly transmit it, enabling fish farmers to remotely monitor the conditions of the aquatic environment. Using an intuitive smartphone application, farmers can plan and adjust feeding schedules, amounts, and mixes based on the specific needs of each species of fish. The system's sophisticated algorithms analyse the collected data to optimise feeding schedules, ensuring that fish receive the proper nutrition while minimising feed waste. Furthermore, the AFF system promotes sustainability by reducing overfeeding, which can lead to ecological imbalances and water contamination. This study demonstrates how aquaculture enterprises can effectively use IoT technology to boost output, reduce operational expenses, and promote environmental stewardship. The study's findings provide important new information for the aquaculture industry and pave the way for the widespread use of Internet of Things-based technology to improve fish farming practices.

IoT, Relay, Arduino Uno, Wi-Fi Module, Water Level Sensor, Temperature Sensor, Oxygen Sensor

"DESIGN OF AUTOMATED FISH FEEDER USING IOT", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 3, page no.e178-e182, March-2024, Available :http://www.jetir.org/papers/JETIR2403424.pdf

"DESIGN OF AUTOMATED FISH FEEDER USING IOT", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 3, page no. ppe178-e182, March-2024, Available at : http://www.jetir.org/papers/JETIR2403424.pdf