Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
3.7
2.9
Journals
JMSE
Special Issues
Fisheries Acoustics and Marine Science Technology
share announcement

Fisheries Acoustics and Marine Science Technology

A special issue of Journal of Marine Science and Engineering (ISSN 2077-1312). This special issue belongs to the section "Marine Biology".

Deadline for manuscript submissions: closed (20 October 2023) | Viewed by 5132

Special Issue Editors

Dr. Kyounghoon Lee

E-Mail Website
Guest Editor
Division of Marine Production System Management, Pukyong National University, Busan 48513, Republic of Korea
Interests: acoustic engineering; instrumentation engineering; aquaculture engineering; fisheries acoustics; fish behavior
Prof. Dr. Tohru Mukai

E-Mail Website
Guest Editor
Laboratory of Marine Environment and Resource Sensing, Faculty of Fisheries Sciences, Hokkaido University, Sapporo, Japan
Interests: acoustic engineering; electronic engineering; ocean engineering; acoustics; oceanography; remote sensing
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Recently, fisheries acoustics has been directly used to investigate underwater fish migration and behavioral characteristics by using optic and acoustic techniques. Optic techniques, having a rather narrow detection range, are suitable for observing the location and behaviors of fish. Additionally, fisheries acoustics and engineering have advanced greatly with the development of new technologies and are actively used in fisheries as assessment tools. Accordingly, the current domestic and international research trend regarding the fish density and behavioral patterns is the use of acoustic techniques in combination with the use of existing direct collection results. This Special Issue is expected to comprise excellent research results in fisheries engineering technology, and thus we invite scientists to submit original research papers on fisheries acoustics, fishing gear engineering, aquaculture engineering, fishing vessel safety, fishery resource management and data analysis, and fisheries equipment technology. We hope that this Special Issue will make a noteworthy contribution to promote further developments in marine science technology.

Dr. Kyounghoon Lee
Prof. Dr. Tohru Mukai
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. Journal of Marine Science and Engineering 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 acoustics
  • species identification with multi-frequency
  • target strength
  • fishing gear engineering for sustainable fisheries
  • aquaculture engineering
  • animal behavior with an optic and/or acoustical system
  • fisheries resource management and data analysis

Published Papers (5 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

14 pages, 2835 KiB  
Article
Estimating the Catch Efficiency of a Framed Midwater Trawl under Different Sampling Conditions Using an Acoustic Method
by Zhen Lu, Tohru Mukai, Yasuzumi Fujimori and Kohji Iida
J. Mar. Sci. Eng. 2023, 11(12), 2256; https://doi.org/10.3390/jmse11122256 - 29 Nov 2023
Viewed by 786
Abstract
The authors have developed a method to estimate the catch efficiency of sampling gear using acoustic information. Since different sampling conditions will cause different sampling results, it is necessary to know more details about catch efficiency to quantitatively catch juvenile fish. In this [...] Read more.
The authors have developed a method to estimate the catch efficiency of sampling gear using acoustic information. Since different sampling conditions will cause different sampling results, it is necessary to know more details about catch efficiency to quantitatively catch juvenile fish. In this study, we estimated the catch efficiency of a framed midwater trawl (FMT) for juvenile walleye pollock, and investigated differences in the catch efficiency of the FMT due to various influencing factors. To clarify the effects of different sampling conditions on catch efficiency, we investigated changes in catch efficiency by survey time (daytime and nighttime), net color (black and cyan), and towing speed (2 kt, 3 kt, 4 kt). It was quantitatively shown that the catch efficiency was higher at nighttime than during the daytime, the catch efficiency of black net was higher than that of cyan net, and the catch efficiency was higher at the faster towing speed. Comparing the estimated catch efficiency under different conditions, we found that survey time was the most important influencing factor. Full article
(This article belongs to the Special Issue Fisheries Acoustics and Marine Science Technology)
►▼ Show Figures

Figure 1

10 pages, 2582 KiB  
Article
Acoustic Characteristics of Largehead Hairtail (Trichiurus japonicus) Using Multi-Frequency Detection in the Southern Sea, South Korea
by Hyungbeen Lee, Euna Yoon, Seungjong Lee and Jeonghoon Lee
J. Mar. Sci. Eng. 2023, 11(10), 1918; https://doi.org/10.3390/jmse11101918 - 4 Oct 2023
Viewed by 773
Abstract
This study was conducted to investigate the acoustic characteristics of largehead hairtails (Trichiurus japonicus) in the Southern Sea of South Korea from April 2022, using 18, 38, 70, 120, and 200 kHz split-beam echosounders. At two stations, juvenile (preanal length: 3.2 [...] Read more.
This study was conducted to investigate the acoustic characteristics of largehead hairtails (Trichiurus japonicus) in the Southern Sea of South Korea from April 2022, using 18, 38, 70, 120, and 200 kHz split-beam echosounders. At two stations, juvenile (preanal length: 3.2 cm–5.8 cm) and immature (preanal length: 13.0 cm–26.0 cm) hairtails were caught by midwater trawling. Juvenile hairtails were distributed in layers without forming schools, while immature hairtails were detected as forming small, clustered schools. The mean volume backscattering strength (MVBS) of immature hairtails was more than 20 dB stronger than that of juvenile hairtails at both the 38 kHz and 120 kHz detection frequencies. Furthermore, the SV of juvenile and immature hairtails was high at 18 kHz and decreased as the frequency increased. We concluded that juvenile and immature hairtails can be distinguished according to their morphological characteristics because the distribution characteristics detected in the echograms differed according to their growth stage. Finally, these findings hold remarkable potential for applications within the field of hairtail identification. Acoustic backscatter information, as presented, offers valuable insights into age determination in this fish species. Full article
(This article belongs to the Special Issue Fisheries Acoustics and Marine Science Technology)
►▼ Show Figures

Figure 1

12 pages, 3405 KiB  
Article
Species Identification and Tempo-Spatial Distribution of Anchovy Using Multi-Frequency
by Geunchang Park, Wooseok Oh, Euna Yoon, Hyoungbeen Lee, Sunyoung Oh, Sara Lee, Chang keun Lee, Jong Seong Khim and Kyounghoon Lee
J. Mar. Sci. Eng. 2023, 11(10), 1871; https://doi.org/10.3390/jmse11101871 - 26 Sep 2023
Viewed by 895
Abstract
In this study, we identified the echo signals of anchovies on echograms using the dB-difference method; additionally, the daytime and nighttime distribution characteristics of anchovies were determined. Using the difference in frequency characteristics of 18, 38, 70, 120, and 200 kHz, the dB-difference [...] Read more.
In this study, we identified the echo signals of anchovies on echograms using the dB-difference method; additionally, the daytime and nighttime distribution characteristics of anchovies were determined. Using the difference in frequency characteristics of 18, 38, 70, 120, and 200 kHz, the dB-difference intervals of −2.1 dB ≤ ΔMVBS18–38 ≤ 4.4 dB, −9.7 dB ≤ ΔMVBS70–38 ≤ 1.3 dB, −10.2 dB ≤ ΔMVBS120–38 ≤ 2.3 dB, and −10.7 dB ≤ ΔMVBS200–38 ≤ 0.3 dB were set to extract the echo signals of anchovies. The results revealed that anchovies showed a relatively higher distribution in the coast than in the open sea. In February, the average density of anchovies was observed to be 3.43 g/m2, whereas in May, it was observed to be 6.02 g/m2. Also, anchovies were found to be mainly distributed at 30-70 m water depths during the day, and at 30–50 m water depths during the night. Full article
(This article belongs to the Special Issue Fisheries Acoustics and Marine Science Technology)
►▼ Show Figures

Figure 1

12 pages, 10909 KiB  
Article
Development of an Edge Computing-Based Intelligent Feeding System for Observing Depth-Specific Feeding Behavior in Red Seabream
by Donggil Lee, Jaehyun Bae and Kyounghoon Lee
J. Mar. Sci. Eng. 2023, 11(9), 1767; https://doi.org/10.3390/jmse11091767 - 10 Sep 2023
Viewed by 981
Abstract
The supply of feed has a significant effect on fish growth and operation costs, making it a critical factor in aquaculture. Owing to the repetitive nature of feed supply, feeding techniques have undergone a shift from manual feeding to systems allowing operators to [...] Read more.
The supply of feed has a significant effect on fish growth and operation costs, making it a critical factor in aquaculture. Owing to the repetitive nature of feed supply, feeding techniques have undergone a shift from manual feeding to systems allowing operators to set feed quantities and timing, reducing labor efforts. However, unlike manual feeding, automatic systems cannot adjust the amount of feed supplied according to the feeding activities of fish, potentially resulting in overfeeding or underfeeding. Such overfeeding causes marine pollution and increases operational costs, whereas underfeeding hinders fish growth. In this study, we present an intelligent feeding system that observes the depth-specific feeding behavior of red seabream during the feeding process and determines whether feed supply must be continued. The performance of the feeding algorithm is evaluated by comparing the feed loss rate measured during a feeding experiment at a red seabream sea cage farm with that of the traditional manual feeding method. The results reveal that the feed supply per unit time of the manual method and the developed intelligent feed supply system is at an equivalent level. Moreover, the difference in the average feed loss rate is a negligible 1.16%, confirming that the new system is slightly more advantageous. Full article
(This article belongs to the Special Issue Fisheries Acoustics and Marine Science Technology)
►▼ Show Figures

Figure 1

12 pages, 2828 KiB  
Article
Acoustic Target Strength According to Different Growth Stages of Japanese Anchovy (Engraulis japonicus): A Comparison of Juvenile and Adult Fish
by Hansoo Kim, Sungho Cho, Mira Kim, Sunhyo Kim and Donhyug Kang
J. Mar. Sci. Eng. 2023, 11(8), 1575; https://doi.org/10.3390/jmse11081575 - 10 Aug 2023
Cited by 1 | Viewed by 904
Abstract
Japanese anchovy (Engraulis japonicus) is an economically important species found in the coastal waters of the northwestern Pacific Ocean. To conduct effective acoustic surveys on the spawning or fishing grounds of this species, the target strength (TS, dB re [...] Read more.
Japanese anchovy (Engraulis japonicus) is an economically important species found in the coastal waters of the northwestern Pacific Ocean. To conduct effective acoustic surveys on the spawning or fishing grounds of this species, the target strength (TS, dB re 1 m2) during its growth stages must be understood. However, knowledge regarding the TS of juvenile Japanese anchovies is limited. To address this knowledge gap, we measured the TS and proposed equation models for juvenile Japanese anchovies while describing the TS differences between young and adult anchovies. We evaluated 21 live anchovies using 38, 120, and 200 kHz transducers. TS models were fitted for the juvenile stage of anchovies, considering different frequencies. The mean TS values of young and adult anchovies were similar to those reported in previous TS studies, whereas the TS values of juvenile anchovies were significantly lower. Thus, applying the same TS equation based on the acoustic characteristics of anchovies at different growth stages, especially for juvenile anchovies, may not be appropriate. These findings underscore the importance of adopting a suitable TS equation specific to the growth stages of Japanese anchovies for accurate data analysis in acoustic surveys conducted on spawning and fishing grounds. Full article
(This article belongs to the Special Issue Fisheries Acoustics and Marine Science Technology)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-5
Back to TopTop