Machine Learning in Aquaculture
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: 31 August 2025 | Viewed by 230
Special Issue Editors
Interests: aquaculture; genetic improvement; convolutional neural network (CNN); computer vision; freshwater fish
Interests: fish genetics; fish growth; data mining; artificial intelligence; artificial neural network
Special Issue Information
Dear Colleagues,
The Special Issue titled “Machine Learning in Aquaculture”, focuses on the use of neural networks and algorithms to optimize various aspects of the field, including species identification, counting, classification, behavior analysis, and other management activities that support decision-making. With the growth of aquaculture, it is essential to develop and automate management processes to achieve greater efficiency and agility. The use of neural networks for enhancing these tasks has stood out, and researchers are increasingly encouraged to address the challenges facing the industry.
This Special Issue will explore how neural networks and detection algorithms can be applied innovatively in aquaculture to improve monitoring, automatic identification, fish counting, and behavior analysis. We aim to present scientific advancements in the use of machine learning for the automated management of aquatic environments, both in controlled production systems and in natural or underwater environments.
Practical and technical limitations in the use of these technologies will also be explored, such as issues with data labeling and image quality, as well as adverse visual capture conditions. Moreover, we will focus on the solutions that these technologies offer to address such challenges and improve the accuracy and efficiency of management in modern aquaculture.
Dr. Adriano Costa
Prof. Dr. Rilke Tadeu Fonseca De Freitas
Dr. Rafael Reis Neto
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
- neural networks
- precision aquaculture
- management automation
- detection algorithms
- fish species
- artificial intelligence
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