4.8 Article

Initial Development of the Hybrid Aerial Underwater Robotic System (HAUCS): Internet of Things (IoT) for Aquaculture Farms

Journal

IEEE INTERNET OF THINGS JOURNAL
Volume 8, Issue 18, Pages 14013-14027

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JIOT.2021.3068571

Keywords

Sensors; Robot sensing systems; Monitoring; Fish; Aquaculture; Internet of Things; Water quality; Aquaculture; coastal zone monitoring; Internet of Things (IoT); machine learning (ML); robotics; water quality sensors

Funding

  1. U.S. Department of Agriculture, National Institute of Food and Agriculture through the National Robotics Initiative 2.0: Ubiquitous Collaborative Robots program (NRI-2.0) [2019-67022-29204]
  2. Harbor Branch Oceanographic Institute Foundation Summer Internship

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Aquaculture, especially fish farming, is crucial for ensuring food security in the US and globally, but significant improvements are needed to make fish farming sustainable and economically viable. The hybrid aerial/underwater robotic system (HAUCS) aims to bring fundamental innovations to pond-based farms, enabling collaborative monitoring and decision-making on farms of varying scales.
Aquaculture, especially fish farming, plays a vital role in ensuring food security in the United States and worldwide. However, for fish farming to be sustainable and economically viable, drastic improvements to the current labor-intensive and resource-inefficient operations are required. The hybrid aerial/underwater robotic system (HAUCS) aims to bring fundamental innovations to how pond-based farms operate. HAUCS is an end-to-end framework that consists of three principal subsystems: 1) a team of collaborative aero-amphibious robotic sensing platforms integrated with water quality sensors; 2) a land-based home station that can provide automated charging and sensor cleaning; and 3) a backend processing center that includes a machine-learning-based water quality prediction model and farm control center. HAUCS will be capable of collaborative monitoring and decision-making on farms of varying scales. The HAUCS platform, payload, and prediction model are discussed. The initial deployment of the HAUCS framework at a land-based aquaculture fish farm is presented.

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