关键词: Artificial intelligence (AI) Autonomous underwater vehicles (AUVs) Bio-sensors Coral bleaching Coral reefs Marine conservation Monitoring Ocean monitoring Red Sea Robotics Vertical farming

Mesh : Coral Reefs Robotics Environmental Monitoring / methods Animals Anthozoa Conservation of Natural Resources / methods Ecosystem

来  源:   DOI:10.1016/j.marpolbul.2024.116273

Abstract:
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.
摘要:
珊瑚礁是各种物种的家园,它们的保存是一个受欢迎的研究领域;然而,监控它们是一个巨大的挑战,机器人的使用提供了一个有希望的答案。这项研究的目的是分析目前在珊瑚礁监测中使用的技术和工具,重点关注机器人技术的作用及其在改变这一领域中的潜力。使用系统的审查方法,检查了Scopus数据库中有关“机器人”和“珊瑚礁”关键字的工程和地球科学的同行评审文献,文章分为三个部分:珊瑚礁监测,机器人在珊瑚礁监测中,和案例研究。初步调查结果表明了多种监测策略,每个人都有自己的优点和缺点。案例研究还强调了机器人技术在监测中的全球应用,强调每个背景下独特的挑战和机遇。人工智能和机器学习驱动的机器人干预导致了珊瑚礁监测的新时代。这种事态发展不仅改善了监测,而且支持了这些脆弱生态系统的保护和恢复。需要进一步的研究,特别是在室内和公海环境中监测珊瑚苗圃和最大限度地提高珊瑚健康的机器人系统上。
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