Lee, D.; Bae, J.; Lee, K. Development of an Edge Computing-Based Intelligent Feeding System for Observing Depth-Specific Feeding Behavior in Red Seabream. J. Mar. Sci. Eng.2023, 11, 1767.
Lee, D.; Bae, J.; Lee, K. Development of an Edge Computing-Based Intelligent Feeding System for Observing Depth-Specific Feeding Behavior in Red Seabream. J. Mar. Sci. Eng. 2023, 11, 1767.
Lee, D.; Bae, J.; Lee, K. Development of an Edge Computing-Based Intelligent Feeding System for Observing Depth-Specific Feeding Behavior in Red Seabream. J. Mar. Sci. Eng.2023, 11, 1767.
Lee, D.; Bae, J.; Lee, K. Development of an Edge Computing-Based Intelligent Feeding System for Observing Depth-Specific Feeding Behavior in Red Seabream. J. Mar. Sci. Eng. 2023, 11, 1767.
Abstract
The supply of feed has a significant effect on fish growth and operation costs, making it a critical factor in aquaculture. Owing to the repetitive nature of feed supply, feeding techniques have undergone a shift from manual feeding to systems allowing operators to set feed quantities and timing, reducing labor efforts. However, unlike manual feeding, automatic systems cannot ad-just the amount of feed supplied according to the feeding activities of fish, potentially resulting in overfeeding or underfeeding. Such overfeeding causes marine pollution and increases operational costs, whereas underfeeding hinders fish growth. In this paper, we present an intelligent feeding system that observes the depth-specific feeding behavior of red seabream during the feeding process and determines whether feed supply must be continued. The performance of the feeding algorithm is evaluated by comparing the feed loss rate measured during a feeding experiment at a red seabream sea cage farm with that of the traditional manual feeding method. The results reveal that the feed supply per unit time of the manual method and the developed intelligent feed supply system is at an equivalent level. Moreover, the difference in the average feed loss rate is a negligible 1.16%, confirming that the new system is slightly more advantageous.
Keywords
feeding; monitoring; edge computing; aquaculture; red seabream
Subject
Biology and Life Sciences, Aquatic Science
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
