Development of an Automatic Feeding Machine for Aquatic Animals Considering Key Factors Affecting Proper Feeding

บทคัดย่อ

This research focuses on developing an automatic feeder for aquatic animals, designed to address key factors influencing their feeding behavior. By utilizing image processing technology and an IoT connection system, the feeder ensures that aquatic animals consume the appropriate amount of food, minimizing waste and preventing water pollution. Critical environmental factors considered in this development include water temperature, which impacts the metabolic rates of aquatic animals; oxygen levels, which can reduce feeding activity when low; water turbidity, which hinders food visibility; pH levels, which affect digestion; and light conditions, which influence feeding behavior. The system development is divided into three parts, with the web application serving as a tool to manage the operation of the automatic feeder for aquatic animals based on key feeding factors and to access various data. The image processing component utilizes real-time object detection modeling technology to identify food in the pond. The automatic feeder is designed to accommodate key feeding factors and is adaptable for use in various environments.

          The study of the automatic feeder for aquatic animals, controlled via a web application, demonstrates its ability to feed aquatic animals automatically based on the timing and key feeding factors specified by the user, as measured by water quality sensors. The system can monitor feeding efficiency by detecting leftover food in the pond, with the image processing method achieving an accuracy of 66.09%. Detection errors primarily result from uncontrollable lighting conditions, which cause bubbles to resemble food pellets. Additionally, the web application provides access to various data and the operational status of the feeder.