Experimental Validation of an Intelligent Underwater Rov System for Precision Aquaculture Monitoring
Year: 2025
Type: article
Abstract: The integration of autonomous technologies in aquaculture has become essential for enhancing sustainability, biosecurity, and operational efficiency within increasingly intensive production systems. This paper presents the experimental validation of a functional prototype of an intelligent Remotely Operated Vehicle (ROV) developed for underwater environmental monitoring under controlled laboratory conditions that simulate aquaculture-specific scenarios. The proposed system integrates vectorial propulsion, an intelligent depth-hold controller, and a multisensor inertial navigation unit, enabling robust operation in GPS-denied environments and confined aquatic infrastructures. The hardware platform incorporates optical imaging alongside dissolved oxygen, pH, and temperature sensors, with data acquisition and command input managed via a mobile dashboard interface. A series of functional trials were conducted to assess depth-hold precision, trajectorytracking accuracy, command latency, and imaging performance under dynamic test conditions. Based on these evaluations, the ROV exhibited a mean vertical deviation of ±0.10 m, a trajectory error of 0.16 m, and an average command latency of 290.7 ± 2.6 ms, demonstrating stable and repeatable behavior. These results validate the system’s potential as a non-invasive, semi-autonomous monitoring solution tailored to the requirements of precision aquaculture and scalable digital aquafarming frameworks.
Source: INMATEH Agricultural Engineering
Language: English
Subfield: Ocean Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4416568688