Technology for Fish and Fishery Monitoring—2nd Edition

A special issue of Fishes (ISSN 2410-3888). This special issue belongs to the section "Fishery Facilities, Equipment, and Information Technology".

Deadline for manuscript submissions: 20 August 2026 | Viewed by 21

Special Issue Editor


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Guest Editor
LIRMM (Montpellier Laboratory of Computer Science, Robotics and Microelectronics), University of Montpellier, UMR5506 CNRS/UM, 161 rue Ada, 34095 Montpellier CEDEX 5, France
Interests: sensor; intrabody communication; biologging; physiologging; bioimpedance; fish; fisheries; aquaculture; jellyfish; bycatch mitigation
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Special Issue Information

Dear Colleagues,

The first edition of this Special Issue, entitled “Technology for Fish and Fishery Monitoring”, highlighted the technological innovations that have advanced the knowledge of fish ecology through direct sensing, observation, and AI-based data processing.

To further explore emerging technologies in fish ecology, we propose a new Special Issue focusing on the combination of multiple technological approaches to enhance ecological insight. In particular, this Special Issue emphasizes the association of complementary tools and data to address complex questions in fish ecology. For example, multi-sensor biologging of marine animals can simultaneously provide information on physiological status (e.g., stress and energy expenditure), behavior, and movement. When coupled with machine learning approaches, such sensor data can enable the automated identification of key ecological events, such as feeding, through behavioral classification. Similarly, advances in AI-based image analysis allow the integration of imagery collected at different spatial scales, ranging from underwater cameras and drone footage to satellite observations, thereby improving population-level assessments of stock structure and connectivity. The use of sensing technologies in controlled or experimental environments can also contribute to a better understanding of fish responses to climate-related stressors. Furthermore, the combination of sensing technologies with autonomous and uncrewed platforms opens new opportunities for deep sea surveys and habitat mapping in previously inaccessible environments.

These examples illustrate a broad range of possible technological combinations and applications. This Special Issue welcomes contributions presenting novel methods, proof-of-concept studies, and preliminary results that have the potential to become widely adopted tools for fish ecology research in the near future.

Dr. Vincent Kerzérho
Guest Editor

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 250 words) can be sent to the Editorial Office for assessment.

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

  • fisheries
  • biologging
  • physiologging
  • biotelemetry
  • monitoring
  • tracking
  • sensors
  • embedded systems
  • electronic tags
  • machine learning
  • artificial intelligence (AI)
  • AUV
  • ROV

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