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Fishes
Special Issues
New Technologies for Improving Fisheries and Aquaculture Production and Management
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New Technologies for Improving Fisheries and Aquaculture Production and Management

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: 28 February 2025 | Viewed by 3799

Special Issue Editor

Prof. Dr. Tsutomu Takagi

E-Mail Website
Guest Editor
Department of Fisheries Engineering, Hokkaido University, Sapporo, Japan
Interests: fisheries engineering; fish behavior; biomechanics; fluid dynamics; information science; control engineering

Special Issue Information

Dear Colleagues,

The production of fisheries and aquaculture is rising as the global demand for marine products increases. We are now at the stage of considering the development of new technologies to make the production and management of fisheries and aquaculture more sophisticated and efficient. The application of AI, which replaces work based on human experience and intuition with computers, is underway, but this may only be a superficial improvement in efficiency in various industrial fields, and the realization of DX (Digital Transformation) requires an understanding and clarification of the mechanisms and principles of essential phenomena. This concept is also necessary for DX in the fishery and aquaculture industries. This Special Issue aims to collate research results and review articles on new technologies and theories that lead to technological innovations and applications of conventional technologies to promote DX, which is necessary to advance production and management in the fishery and aquaculture industries. This Special Issue welcomes approaches which promote DX, especially from the perspectives of engineering, mathematical science, and information science.

Prof. Dr. Tsutomu Takagi
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 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

  • digital technology
  • new technology
  • DX
  • fisheries
  • aquaculture
  • engineering
  • mathematical science
  • information science
  • simulation technology
  • ICT

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Further information on MDPI's Special Issue polices can be found here.

Published Papers (5 papers)

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Research

22 pages, 9352 KiB  
Article
Research on the Separation Technology of Kelp and Shellfish Box Based on Shellfish–Kelp Mixed Culture Mode
by Yanan Wang, Zehao Zha, Xian Wang, Yipeng Cui, Xinxin Wang, Duanyang Geng, Hua Zhou and Tongfei Sheng
Fishes 2024, 9(11), 464; https://doi.org/10.3390/fishes9110464 - 15 Nov 2024
Viewed by 274
Abstract
Aiming at the problem of floating shellfish boxes interfering with kelp harvesting when mechanized kelp harvesting is based on shellfish–kelp mixed culture mode, this paper combines the structural characteristics of the shellfish box itself, designs the kelp harvesting unit test bench and develops [...] Read more.
Aiming at the problem of floating shellfish boxes interfering with kelp harvesting when mechanized kelp harvesting is based on shellfish–kelp mixed culture mode, this paper combines the structural characteristics of the shellfish box itself, designs the kelp harvesting unit test bench and develops a shellfish box separator device. The key factors affecting the box separator’s separation effect were derived through the theoretical analysis. The process of separation of a shellfish box by the box separator is simulated and optimized under the derived boundary conditions. The single-factor test for the separating effect of the box separator was conducted with ADAMS kinematics simulation software. The test showed the optimal utility intervals for the key factors under consideration. Further orthogonal tests were conducted for the three key factors, which were ranked in descending order of importance as box separator separation angle θ, box separator taper angle β and box separator placement depth h. The optimal parameter combination is the box separator separation angle of 31.9°, the box separator taper angle of 30° and the box separator placement depth of 550 mm. Verification experiments have shown that both indicators, the farthest horizontal distance of the shellfish box and the angle of the shellfish box deviating from the box separator, meet the actual production requirements. In summary, the separator can effectively separate the shellfish box from the kelp, and the device is simple in design, quick in operation, and accomplished separation without disturbing shellfish. This study can provide a theoretical basis for the separation technology of kelp and shellfish box under shellfish–kelp mixed culture mode. Full article
(This article belongs to the Special Issue New Technologies for Improving Fisheries and Aquaculture Production and Management)
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17 pages, 5789 KiB  
Article
Development of Low-Resistance Coastal Stow Net Using Numerical Analysis and Model Experiments
by Sua Park, Jihoon Lee, Minseo Park and Daeyeon Cho
Fishes 2024, 9(11), 434; https://doi.org/10.3390/fishes9110434 - 26 Oct 2024
Viewed by 408
Abstract
In coastal stow net fishing, the heavy weight of a typical anchor (750–1000 kg) can increase the risk of capsizing the boat and crew member injury during hoisting operations. Thus, to prevent these accidents, a reduction in the anchor weight is required. One [...] Read more.
In coastal stow net fishing, the heavy weight of a typical anchor (750–1000 kg) can increase the risk of capsizing the boat and crew member injury during hoisting operations. Thus, to prevent these accidents, a reduction in the anchor weight is required. One strategy to achieve this is to reduce the resistance force of the fishing gear used, which would allow lighter anchors to be employed. This requires the accurate estimation of the resistance force for various gear designs. Therefore, the resistance force and shape during the operation of two representative types of coastal stow nets currently employed in the Korean coastal stow net fishing industry were investigated using simulations and modeling experiments. The modeled fishing gear was divided into four sections according to the mesh size. Based on the results, the twine thickness was reduced in order to target areas of the gear where the greatest resistance was observed, while the front part of the gear was redesigned to prevent the front of the net from being pushed back into a suboptimal shape. The proposed low-resistance fishing gear has the potential to improve occupational safety in the coastal stow net fishing industry. Full article
(This article belongs to the Special Issue New Technologies for Improving Fisheries and Aquaculture Production and Management)
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17 pages, 4314 KiB  
Article
A Study on the Catch Losses and Mesh Selectivity Related to the Attachment of Marine Mammal Bycatch Reduction Devices on Midwater Trawl Gear
by Jung-Mo Jung, Min-Seuk Park and Kyu-Suk Choi
Fishes 2024, 9(10), 391; https://doi.org/10.3390/fishes9100391 - 28 Sep 2024
Viewed by 847
Abstract
The National Institute of Fisheries Science in Korea is developing marine mammal bycatch reduction devices (BRDs) for high-risk fishing gear, such as trawls. We experimented with two BRD types (guiding nets) attached in front of codend at 30° and 45° angles, and catch [...] Read more.
The National Institute of Fisheries Science in Korea is developing marine mammal bycatch reduction devices (BRDs) for high-risk fishing gear, such as trawls. We experimented with two BRD types (guiding nets) attached in front of codend at 30° and 45° angles, and catch losses and mesh size selectivity were investigated. Experimental fishing operations were conducted along the East Coast of South Korea where whales and dolphins are commonly sighted. The catch was classified according to fishing location, BRD type, codend, and covernet, with measurements recorded for body length, maximum girth, and weight. The average selectivity for each haul was analyzed using the ‘selfisher’ package. The catch loss rates with the BRD attached at tilt angles of 30° and 45° were 11% and 29% for common flying squid, 6% and 28% for sailfin sandfish, and 5% and 8% for pearlside. While the mesh selectivity rates for common flying squid and pearlside remained at 0.2–0.5 across all lengths and tilt angles, the mesh selectivity curve for sailfin sandfish was estimated. There were significant differences in catch loss between 30° and 45° angles, with the 30° angle being more effective in catch loss. We observed a masking effect in the codend. Full article
(This article belongs to the Special Issue New Technologies for Improving Fisheries and Aquaculture Production and Management)
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13 pages, 609 KiB  
Article
Enhancing Length at First Maturity Estimation Using Machine Learning for Fisheries Resource Management: A Case Study on Small Yellow Croaker (Larimichthys polyactis) in South Korea
by Heejoong Kang and Sang Chul Yoon
Fishes 2024, 9(10), 373; https://doi.org/10.3390/fishes9100373 - 24 Sep 2024
Viewed by 682
Abstract
Small yellow croaker (Larimichthys polyactis) is a critical economic fish species in South Korea, where effective management is essential due to concerns over declining populations. This study aims to enhance fishery management strategies by applying machine learning techniques to classify the [...] Read more.
Small yellow croaker (Larimichthys polyactis) is a critical economic fish species in South Korea, where effective management is essential due to concerns over declining populations. This study aims to enhance fishery management strategies by applying machine learning techniques to classify the maturity stages and estimate the length at first maturity (L50 and L95), comparing these results with those obtained using traditional macroscopic methods. Five machine learning models, including Decision Tree (DT), Random Forest (RF), LightGBM (LGBM), EXtreme Gradient Boosting (XGB) and Support Vector Machine (SVM), were developed and evaluated for their effectiveness in predicting maturity stages. The XGB model demonstrated superior performance with the highest evaluation final score and low computation time. Using generalized linear models (GLM), this study estimated L50 and L95 for both machine learning predictions and macroscopic observations. The results showed that machine learning models, particularly XGB, provided more precise estimates with narrower confidence intervals and better model fit than the traditional macroscopic methods. These findings can support more sustainable fisheries management practices by offering reliable tools for setting appropriate regulatory measures, such as minimum landing sizes, which contribute to the conservation of marine resources. Full article
(This article belongs to the Special Issue New Technologies for Improving Fisheries and Aquaculture Production and Management)
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14 pages, 2353 KiB  
Article
Quantitative Assessment and Analysis of Fish Behavior in Closed Systems Using Information Entropy
by Minoru Kadota, Shinsuke Torisawa and Tsutomu Takagi
Fishes 2024, 9(6), 224; https://doi.org/10.3390/fishes9060224 - 12 Jun 2024
Viewed by 961
Abstract
This study introduces a method for quantitatively assessing the complexity and predictability of fish behavior in closed systems through the application of information entropy, offering a novel lens through which to understand how fish adapt to environmental changes. Utilizing simulations rooted in a [...] Read more.
This study introduces a method for quantitatively assessing the complexity and predictability of fish behavior in closed systems through the application of information entropy, offering a novel lens through which to understand how fish adapt to environmental changes. Utilizing simulations rooted in a random walk model for fish movement, we delve into entropy fluctuations under varying environmental conditions, including responses to feeding and external stimuli. Our findings underscore the utility of information entropy in capturing the intricacies of fish behavior, particularly highlighting the synchrony in collective actions and adaptations to environmental shifts. This research not only broadens our comprehension of fish behavior but also paves the way for its application in fields like aquaculture and resource management. Through our analysis, we discovered that smaller grid sizes in simulations capture detailed local fluctuations, while larger grids elucidate general trends, pinpointing a 2.5 grid as optimal for our study. Moreover, changes in swimming speeds and behavioral adaptations during feeding were quantitatively analyzed, with results illustrating significant behavior modifications. Additionally, employing a Gaussian mixture model helped to clarify the nuanced changes in fish behavior in response to altered light conditions, demonstrating the layered complexity of fish responses to environmental stimuli. This investigation confirms the efficacy of information entropy as a robust metric for evaluating fish shoal behavior, offering a fresh methodology for ecological and environmental studies, with promising implications for sustainable management practices. Full article
(This article belongs to the Special Issue New Technologies for Improving Fisheries and Aquaculture Production and Management)
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