Application of Artificial Intelligence in Aquaculture
A special issue of Fishes (ISSN 2410-3888).
Deadline for manuscript submissions: 31 May 2025 | Viewed by 128
Special Issue Editors
Interests: fish behavior recognition; fish appetite assessment; recirculating aquaculture; aquaculture wastewater treatment; denitrification; nitrogen removal
Special Issues, Collections and Topics in MDPI journals
Interests: fish behavior and intelligent fish feeding; the welfare of aquatic animals in aquaculture; artificial intelligence and IOT in aquaculture
Interests: computer vision; robotics; AI in smart fishery
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The application of intelligent technology has brought about a huge transformation in the aquaculture industry. By integrating sensors, the Internet of Things, big data analysis, and artificial intelligence, intelligent aquaculture systems can achieve real-time monitoring of the breeding environment, precise management of feed distribution, timely early warning of disease risks, and optimization of breeding strategies. This leads to improved breeding efficiency, reduced costs, and reduced environmental impact.
To explore the extensive application of intelligent technology in the field of aquaculture, we are launching a Special Issue focusing on the “Application of Artificial Intelligence in Aquaculture”. We sincerely invite researchers around the world to submit the latest research results and practical cases on intelligent aquaculture, including, but not limited to, the following topics:
- Intelligent environmental monitoring: Research on the use of sensors, the Internet of Things, and artificial intelligence technology to achieve real-time monitoring, prediction, and management of key environmental parameters such as water quality, temperature, and dissolved oxygen.
- Disease early warning and management: Discuss the applications of intelligent technology in early diagnosis, early warning, and prevention and control of diseases, and to optimize disease management strategies through data analysis.
- Optimization of aquaculture strategies: Based on the analysis of the growth of aquaculture organisms, environmental changes and market demand, explore the application of intelligent technology in the formulation of personalized aquaculture strategies.
- Intelligent aquaculture and robotics: Explore the application of intelligent equipment and robotics in aquaculture, such as automatic feeding, fishing, and water quality management.
- Environmental interaction and physiological response: Research on how the behavior and physiological expression of cultured organisms responds to changes in the intelligent feeding environment, as well as the mechanisms behind these changes.
Dr. Hongwu Cui
Dr. Chao Zhou
Dr. Ran Zhao
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Fishes is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- aquaculture
- fishery
- fish behavior
- intelligent recognition
- deep learning
- environmental monitoring
- environmental interaction mechanisms
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