FEEDO:AIoT based Automatic Fish Feeding System
Year: 2025
Type: article
Abstract: This project presents an innovative automatic fish feeding system designed to optimize aquaculture practices by automating feeding processes. The system addresses challenges such as inconsistent feeding, overfeeding, and labor dependency through advanced technology and user-friendly design. Utilizing programmable schedules, integrated environmental sensors, and remote monitoring via a mobile application, the system ensures precise and timely feed distribution. A key feature of the system is its ability to monitor water pH levels alongside other environmental parameters like temperature and oxygen levels. The pH calculation enables dynamic adjustments to feeding schedules, ensuring optimal conditions for fish health.The design also includes an air blower and rotating disk for uniformfeed dis- persal, durable components, and minimal maintenance.Advanced options like adaptive feeding schedules based on environmental conditions, alerts for low feed levels or system malfunctions, and data-driven insights into fish health further enhance function- ality.By combining efficiency, sustainability,and ease of use and cost effectiveness, this system represents a transformative step toward sustainable aquaculture, improving productivity making it ideal for fish farmers.
Author: Anoop joshy, Ajay Jacob Benny, Athul Sajeev, Anakha SD, Dr. Amal MR
Institution: Amal Jyothi College of Engineering
Language: English
Subfield: Water Science and Technology
Field: Environmental Science
Domain: Physical Sciences
SDG: Zero hunger
Open Access status: diamond
OpenAlex ID: W6931204584
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