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Application of Artificial Intelligence Monitoring and Big Data Analysis in Marine Resource Management

A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "Oceans and Coastal Zones".

Deadline for manuscript submissions: 25 February 2026 | Viewed by 427

Special Issue Editor


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Guest Editor
College of Management, Ocean University of China, Qingdao 266100, China
Interests: digital economy; marine industry; marine technology innovation; marine resources; marine ranching
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This study explores the key drivers and transformation pathways of smart marine ranching under the digital intelligence era. We retrieved reports on the digitalization of ocean ranches from four major official media outlets (e.g., Xinhua, People.cn, CCTV). After a process of screening and supplementation, 329 high-quality texts were selected for grounded theory analysis to extract key influencing factors. Necessary Condition Analysis (NCA) and fuzzy-set Qualitative Comparative Analysis (fsQCA) were then applied to ten national marine ranches that were rated “excellent” for four consecutive years up to 2024. The results identify essential enabling conditions and reveal three transformation paths. This study offers both theoretical insight and policy-oriented strategies for promoting digital marine governance and sustainable development.

This Special Issue will focus on marine ranching as a typical coastal ecosystem and fishery resource management object. Its research goals aim to serve smart fisheries, sustainable marine resource development, as well as ecological protection and governance optimization.

Dr. Juying Wang
Guest Editor

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Keywords

  • marine environmental monitoring
  • modeling
  • AI applications
  • digital economy
  • marine ranching

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Published Papers (1 paper)

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Research

19 pages, 617 KB  
Article
From Digitalization to Intelligentization: How Do Marine Ranches Evolve?
by Juying Wang, Huiyi Su and Zhigang Li
Water 2025, 17(21), 3081; https://doi.org/10.3390/w17213081 - 28 Oct 2025
Viewed by 242
Abstract
Under China’s diversified food supply strategy and the accelerated modernization of its fisheries sector, marine ranches have become vital food sources and production bases. Their digital–intelligent transformation now represents a key pathway to improve resource efficiency, ensure food security, and promote sustainable marine [...] Read more.
Under China’s diversified food supply strategy and the accelerated modernization of its fisheries sector, marine ranches have become vital food sources and production bases. Their digital–intelligent transformation now represents a key pathway to improve resource efficiency, ensure food security, and promote sustainable marine economic development. Adopting a qualitative research design, this study examines China’s marine ranches using the TOE framework and a systemic grounded theory approach to identify key elements and evolutionary logic of their digital–intelligent transformation from multi-source qualitative data. It constructs a three-stage evolutionary model comprising “Technology and Facility Capacity Building Phase–Digital Resource Integration and Application Deepening Phase–Multi-stakeholder Collaboration and Systemic Governance Phase,” revealing the dynamic coupling mechanism among technological progress, organizational change, and environmental adaptation. Results indicate that the digital–intelligent transformation of marine ranches represents a systemic transition from technology-driven to collaborative governance, characterized by platform-based collaboration, factor restructuring, and institutional linkage. Based on these findings, this study proposes tiered policy and practice recommendations emphasizing institutional guidance by governments, innovation investments by enterprises, and ecological support from third-party platforms. The research not only expands the application scope of the TOE framework but also provides an applicable theoretical framework and policy reference for digital governance and sustainable development in marine fisheries. Full article
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