Aquaponics 4.0 Learning Factory (AllFactory), University of Alberta, Edmonton, Canada.
Laboratory for Nanomedicine, Division of Biological and Environmental Science and Engineering, King Abdullah University of Science and Technology, Thuwal 23955-6900, Saudi Arabia; Computational Bioscience Research Center (CBRC), King Abdullah University of Science and Technology, Thuwal 23955-6900, Saudi Arabia; Red Sea Research Center, King Abdullah University of Science and Technology, Thuwal, Jeddah 23955, Saudi Arabia.
Mar Pollut Bull. 2024 May;202:116273. doi: 10.1016/j.marpolbul.2024.116273. Epub 2024 Apr 3.
Coral reefs are home to a variety of species, and their preservation is a popular study area; however, monitoring them is a significant challenge, for which the use of robots offers a promising answer. The purpose of this study is to analyze the current techniques and tools employed in coral reef monitoring, with a focus on the role of robotics and its potential in transforming this sector. Using a systematic review methodology examining peer-reviewed literature across engineering and earth sciences from the Scopus database focusing on "robotics" and "coral reef" keywords, the article is divided into three sections: coral reef monitoring, robots in coral reef monitoring, and case studies. The initial findings indicated a variety of monitoring strategies, each with its own advantages and disadvantages. Case studies have also highlighted the global application of robotics in monitoring, emphasizing the challenges and opportunities unique to each context. Robotic interventions driven by artificial intelligence and machine learning have led to a new era in coral reef monitoring. Such developments not only improve monitoring but also support the conservation and restoration of these vulnerable ecosystems. Further research is required, particularly on robotic systems for monitoring coral nurseries and maximizing coral health in both indoor and open-sea settings.
珊瑚礁是多种物种的家园，对其保护是一个热门的研究领域；然而，对其进行监测是一个重大的挑战，机器人的使用为此提供了一个有前景的答案。本研究旨在分析当前用于珊瑚礁监测的技术和工具，重点关注机器人的作用及其在改变这一领域的潜力。使用系统回顾方法，从 Scopus 数据库中检查工程和地球科学领域的同行评审文献，重点关注“机器人”和“珊瑚礁”关键词，本文分为三个部分：珊瑚礁监测、机器人在珊瑚礁监测中的作用以及案例研究。初步结果表明，存在各种监测策略，每种策略都有其自身的优点和缺点。案例研究还强调了机器人在监测方面的全球应用，强调了每个环境所特有的挑战和机遇。由人工智能和机器学习驱动的机器人干预措施已经引领了珊瑚礁监测的新时代。这些发展不仅提高了监测水平，还有助于保护和恢复这些脆弱的生态系统。需要进一步研究，特别是关于用于监测珊瑚苗圃和最大限度提高室内和开放海域珊瑚健康的机器人系统。
