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Integration of Real-Time Scheduling and Feed-Level Monitoring in an Automatic Feeding System for Vannamei Shrimp Farming
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 187 - Number 52 |
| Year of Publication: 2025 |
| Authors: Ronny Katuuk, Ali Ramschie, Johan F. Makal, Johan Pongoh |
10.5120/ijca2025925879
|
Ronny Katuuk, Ali Ramschie, Johan F. Makal, Johan Pongoh . Integration of Real-Time Scheduling and Feed-Level Monitoring in an Automatic Feeding System for Vannamei Shrimp Farming. International Journal of Computer Applications. 187, 52 ( Nov 2025), 23-30. DOI=10.5120/ijca2025925879
Abstract
Vannamei shrimp (Litopenaeus vannamei) aquaculture is one of the most economically valuable sectors in Indonesia’s fisheries industry. However, manual feeding practices often lack consistency and accuracy, resulting in inefficient feed utilization and suboptimal shrimp growth. This study aims to design and evaluate a time-based automatic feeding system to improve feed management efficiency and reliability in vannamei shrimp farming. The research employs a prototyping approach, consisting of literature review, hardware and software design, system model development, and functional testing. The system integrates a microcontroller as the control unit, a Real-Time Clock (RTC) module for precise feeding schedules, and motor actuators for automated feed distribution. Additionally, a feed-level detection sensor is incorporated to monitor feed availability in the silo and trigger an alarm when the feed is nearly depleted. Experimental results demonstrate that the developed system is capable of executing feed distribution automatically based on predefined schedules while simultaneously detecting feed availability. The system’s integrated mechanisms improve accuracy, reduce dependency on human labor, and provide timely alerts for feed replenishment. Contribution this study lies in the integration of real-time scheduling with feed-level monitoring in a single autonomous system, which enhances precision, minimizes operational errors, and supports the implementation of smart aquaculture technology. This contributes to the advancement of sustainable vannamei shrimp farming practices, particularly in regions where feed management remains a critical challenge.
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