Jing Yang
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Jing Yang has a total of 10 co-authors. Here are the top co-authors by number of shared publications:
- Chao Li
Ocean College, Zhejiang University, Zhoushan, China
1 shared publication - Clara U
DUT School of Software Technology, DUT-RU International School of Information Science and Engineering, the Key Laboratory for Ubiquitous Network and Service Software of Liaoning Province, Dalian University of Technology, Dalian 116620, China
1 shared publication - Huayong Yang
Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou 511458, China
1 shared publication - Jing Gao
School of Software Technology, Dalian University of Technology, Dalian, China
1 shared publication - Jinping Cheng
Department of Science and Environmental Studies, The Education University of Hong Kong, New Territories, Hong Kong, China
1 shared publication - Linus Shing Him Lo
Department of Science and Environmental Studies and State Key Laboratory of Marine Environmental Health, The Education University of Hong Kong, New Territories, Hong Kong, China
1 shared publication
Latest Publications
- Open Access
- 1 October 2024
- Published by MDPI AG in Journal of Marine Science and Engineering
- Vol. 12 (10) , 1729
Artificial Intelligence-Assisted Environmental DNA Metabarcoding and High-Resolution Underwater Optical Imaging for Noninvasive and Innovative Marine Environmental Monitoring
To effectively protect the marine environment, it is crucial to establish effective environ mental monitoring platforms. Traditional marine environmental monitoring methods heavily rely on morphological identification and field expertise, with the sampling process being disruptive and potentially destructive to vulnerable marine environments. In light of emerging biomonitoring needs and biodiversity declines, we reviewed the urgently needed, ongoing advances in developing effective, noninvasive, and innovative monitoring methods and systems to examine the complex marine environment for better strategic conservation and protection, using the coral ecosystem as one of the representative forefront examples in marine protection. This review summarizes current trends and efforts in transitioning into more standardizable and automatable utilizations of environmental DNA metabarcoding-based monitoring strategies and high-resolution underwater optical imaging monitoring systems as two of the promising pillars for the next generation of noninvasive biomonitoring and associated applications. The assistance of artificial intelligence for environmental DNA metabarcoding and high-resolution underwater optical imaging into an empowered, all-rounded monitoring platform for enhanced monitoring capacity is discussed as a highly potent direction for future research exploration. This review will be a cornerstone reference for the future development of artificial intelligence-assisted, noninvasive, and innovative marine environmental monitoring systems.
- 1 October 2024
- Published by MDPI AG in Journal of Marine Science and Engineering
- Vol. 12 (10) , 1729
Open AccessArtificial Intelligence-Assisted Environmental DNA Metabarcoding and High-Resolution Underwater Optical Imaging for Noninvasive and Innovative Marine Environmental Monitoring
To effectively protect the marine environment, it is crucial to establish effective environ mental monitoring platforms. Traditional marine environmental monitoring methods heavily rely on morphological identification and field expertise, with the sampling process being disruptive and potentially destructive to vulnerable marine environments. In light of emerging biomonitoring needs and biodiversity declines, we reviewed the urgently needed, ongoing advances in developing effective, noninvasive, and innovative monitoring methods and systems to examine the complex marine environment for better strategic conservation and protection, using the coral ecosystem as one of the representative forefront examples in marine protection. This review summarizes current trends and efforts in transitioning into more standardizable and automatable utilizations of environmental DNA metabarcoding-based monitoring strategies and high-resolution underwater optical imaging monitoring systems as two of the promising pillars for the next generation of noninvasive biomonitoring and associated applications. The assistance of artificial intelligence for environmental DNA metabarcoding and high-resolution underwater optical imaging into an empowered, all-rounded monitoring platform for enhanced monitoring capacity is discussed as a highly potent direction for future research exploration. This review will be a cornerstone reference for the future development of artificial intelligence-assisted, noninvasive, and innovative marine environmental monitoring systems.