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Journal articles on the topic 'Electronic monitoring in fisheries'

Author: Grafiati

Published: 27 July 2024

Last updated: 31 July 2025

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1

Fetterplace, Lachlan, Norrman Emilia Benavente, Kristin Öhman, et al. "HafsAuga MobileEM: mobile electronic monitoring for fisheries management and research." Research Ideas and Outcomes 11 (April 28, 2025): e146649. https://doi.org/10.3897/rio.11.e146649.

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Electronic monitoring (EM) using video cameras is valuable for documenting fisheries catch and bycatch, but it remains challenging to implement in small-scale fisheries. Current barriers include high costs, technical installation needs and limited power supply on small vessels. In addition, as most EM systems on the market are difficult to quickly move between vessels, they do not allow for random data collection, which may be required to obtain reliable estimates of bycatch across a fleet. Basic EM systems available, designed for use in small-scale fisheries, are image-based, have low frame r

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2

Glemarec, Gildas, Lotte Kindt-Larsen, Louise Scherffenberg Lundgaard, and Finn Larsen. "Assessing seabird bycatch in gillnet fisheries using electronic monitoring." Biological Conservation 243 (March 2020): 108461. http://dx.doi.org/10.1016/j.biocon.2020.108461.

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M.Balaji1, Soumyabrata Sarkar1 S. Karunakaran1* S. Kavithambika1 S.A. Shanmugam2. "Technological Innovations in Fisheries Sector." Trends in agriculture Science 2, no. 6 (2023): 411–14. https://doi.org/10.5281/zenodo.8037283.

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This article examines how technological advancements have revolutionized fisheries management. It showcases breakthroughs in aquaculture and developments in robotics, autonomous systems, electronic monitoring and reporting, big data analytics, remote sensing and satellite monitoring. These technologies are revolutionizing how aquaculture practices are optimized, data collected, and operations in fisheries are monitored. The paper focuses on the technologies potential to improve fisheries' sustainability, effectiveness, and transparency, ultimately opening the path for a time when ethical f

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van Helmond, A. T. M., C. Chen, and J. J. Poos. "How effective is electronic monitoring in mixed bottom-trawl fisheries?" ICES Journal of Marine Science 72, no. 4 (2014): 1192–200. http://dx.doi.org/10.1093/icesjms/fsu200.

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Gilman, Eric, Gonzalo Legorburu, Andrew Fedoruk, Craig Heberer, Mark Zimring, and Amos Barkai. "Increasing the functionalities and accuracy of fisheries electronic monitoring systems." Aquatic Conservation: Marine and Freshwater Ecosystems 29, no. 6 (2019): 901–26. http://dx.doi.org/10.1002/aqc.3086.

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6

Brown, Christopher J., Amelia Desbiens, Max D. Campbell, et al. "Electronic monitoring for improved accountability in western Pacific tuna longline fisheries." Marine Policy 132 (October 2021): 104664. http://dx.doi.org/10.1016/j.marpol.2021.104664.

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7

Helmond, Aloysius T. M., Lars O. Mortensen, Kristian S. Plet‐Hansen, et al. "Electronic monitoring in fisheries: Lessons from global experiences and future opportunities." Fish and Fisheries 21, no. 1 (2019): 162–89. http://dx.doi.org/10.1111/faf.12425.

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8

Gilman, Eric, Vicente De Ramón Castejón, Eparama Loganimoce, and Milani Chaloupka. "Capability of a pilot fisheries electronic monitoring system to meet scientific and compliance monitoring objectives." Marine Policy 113 (March 2020): 103792. http://dx.doi.org/10.1016/j.marpol.2019.103792.

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Ulrich, Clara, Hans Jakob Olesen, Heiðrikur Bergsson, et al. "Discarding of cod in the Danish Fully Documented Fisheries trials." ICES Journal of Marine Science 72, no. 6 (2015): 1848–60. http://dx.doi.org/10.1093/icesjms/fsv028.

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Abstract Denmark was the first nation in Europe to promote the use of Fully Documented Fisheries (FDF) through Remote Electronic Monitoring (REM) and CCTV camera systems, with pilot schemes in place since 2008. In theory, such a scheme could supplement and even potentially replace expensive control and monitoring programmes; and when associated with a catch quota management (CQM) system, incentivize positive changes in fishing patterns in a results-based management approach. New data flows are, however, required to ensure the practical implementation of such a scheme. This paper reviews the qu

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Emery, Timothy J., Rocio Noriega, Ashley J. Williams, and James Larcombe. "Changes in logbook reporting by commercial fishers following the implementation of electronic monitoring in Australian Commonwealth fisheries." Marine Policy 104 (June 2019): 135–45. http://dx.doi.org/10.1016/j.marpol.2019.01.018.

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11

Acharya, Debaditya, Moshiur Farazi, Vivien Rolland, et al. "Towards automatic anomaly detection in fisheries using electronic monitoring and automatic identification system." Fisheries Research 272 (April 2024): 106939. http://dx.doi.org/10.1016/j.fishres.2024.106939.

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12

Latief, Tamana, Farooz Ahmad Bhat1, Tasaduq Hussain Shah, Adnan Abubakr, Bilal Ahmad Bhat, and Ashwani Kumar. "Innovative Technologies in Fisheries Sector." Chronicle of Aquatic Science 10, no. 01 (2024): 102–14. http://dx.doi.org/10.61851/coas.v1i10.10.

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The World’s greatest confronting issue is the increment in population and the trouble of feeding them healthy food. Agriculture and fisheries play a crucial role in global fish production on land and within the ocean. But currently the sector is facing numerous issues due to the use of age-old traditional techniques, improper management, environmental pollution and expensive labour costs. Hence this sector has embraced use of automation and technologies to address these challenges. This article looks at how fisheries management has changed as a result of technological improvements. Aquaculture

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13

Needle, Coby L. "Honeycomb: a spatio-temporal simulation model to evaluate management strategies and assessment methods." ICES Journal of Marine Science 72, no. 1 (2014): 151–63. http://dx.doi.org/10.1093/icesjms/fsu130.

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Abstract In recent years, scientists providing advice to fisheries managers have been granted access to an increasing range of spatio-temporal data from fishing vessels, using tools such as vessel monitoring systems and electronic observation platforms. This information should allow for the provision of more germane advice on the activity of vessels, and hence the likely impact of management measures which are becoming increasingly spatial in nature. However, the development of appropriate management simulation and assessment models has lagged behind the availability of these new data. This pa

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Adie, Awafung Emmanuel, Faithpraise Fina, Paul Anyin, Gertrude Fischer, Glory Nja, and Veronica Awafung. "Electronic Sensors Detection of Nanoplastic Effects on Aqua Biota in Africa." NEWPORT INTERNATIONAL JOURNAL OF BIOLOGICAL AND APPLIED SCIENCES 6, no. 1 (2025): 1–13. https://doi.org/10.59298/nijbas/2025/6.1.11300.

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Nanoplastics, plastic particles smaller than 1 micrometer, are an emerging contaminant of concern in aquatic ecosystems globally, including in Africa. Monitoring the presence and impacts of nanoplastics is crucial for the continent given its reliance on fisheries and aquaculture for food and livelihoods. Advanced electronic sensor technologies offer promising tools for detecting and quantifying nanoplastics in water bodies, as well as assessing their biological effects on aquatic organisms. This review examines the potential applications of electronic sensors, such as optical, electrochemical,

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15

Bartholomew, David C., Jeffrey C. Mangel, Joanna Alfaro-Shigueto, Sergio Pingo, Astrid Jimenez, and Brendan J. Godley. "Remote electronic monitoring as a potential alternative to on-board observers in small-scale fisheries." Biological Conservation 219 (March 2018): 35–45. http://dx.doi.org/10.1016/j.biocon.2018.01.003.

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Emery, Timothy J., Rocio Noriega, Ashley J. Williams, and James Larcombe. "Measuring congruence between electronic monitoring and logbook data in Australian Commonwealth longline and gillnet fisheries." Ocean & Coastal Management 168 (February 2019): 307–21. http://dx.doi.org/10.1016/j.ocecoaman.2018.11.003.

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17

Neidig, Carole, Max Lee, Genevieve Patrick, and Ryan Schloesser. "Employing an innovative underwater camera to improve electronic monitoring in the commercial Gulf of Mexico reef fish fishery." PLOS ONE 19, no. 3 (2024): e0298588. http://dx.doi.org/10.1371/journal.pone.0298588.

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Vessel electronic monitoring (EM) systems used in fisheries around the world apply a variety of cameras to record catch as it is brought on deck and during fish processing activities. In EM work conducted by the Center for Fisheries Electronic Monitoring at Mote (CFEMM) in the Gulf of Mexico commercial reef fish fishery, there was a need to improve upon current technologies to enhance camera views for accurate species identification of large sharks, particularly those that were released while underwater at the vessel side or underneath the hull. This paper describes how this problem was addres

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18

Jalbert, Kirk, Matthew Cutler, Teal Guetschow, and Noa Bruhis. "Surveillance Systems for Sustainable Fisheries: Perceptions on the Adoption of Electronic Monitoring in the Northeast US Multispecies Fishery." Surveillance & Society 21, no. 3 (2023): 288–303. http://dx.doi.org/10.24908/ss.v21i3.15790.

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Amendment 23 (A23) to the Northeast Multispecies Fisheries Management Plan will remake monitoring systems for the Northeast US commercial groundfish fishery. In addition to substantially increasing monitoring coverage, A23 will provide fishers with the option to utilize electronic monitoring (EM) technologies in place of human at-sea observers. Based on twenty-six interviews with representatives of the fishing industry, nongovernmental organizations, regulatory agencies, EM service providers, and other stakeholder groups, this paper examines how the fishery is planning for the adoption of EM.

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Pratiwi, Tia Dini, Budy Wiryawan, and Tri Wiji Nurani. "Implementation of Tuna Traceability in Ocean Fishing Port of Nizam Zachman Jakarta." Marine Fisheries : Journal of Marine Fisheries Technology and Management 12, no. 1 (2021): 23–34. http://dx.doi.org/10.29244/jmf.v12i1.32827.

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Nizam Zachman Fishing Port (PPS Nizam Zachman) is one of fishing ports in Indonesia that implemented traceability and has export-destination to the United States and the European Union. However, previous study showed that documents recording and fish handling activities in the fishing port were poorly managed. Objectives of this study were to identify structure of supply chain, formulate obstacle factors of traceability, and recommend implementation actions of traceability. Data were collected through observation and interviews with longline tuna fishermen and tuna processing entrepreneurs. Su

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Emery, Timothy J., Rocio Noriega, Ashley J. Williams, et al. "The use of electronic monitoring within tuna longline fisheries: implications for international data collection, analysis and reporting." Reviews in Fish Biology and Fisheries 28, no. 4 (2018): 887–907. http://dx.doi.org/10.1007/s11160-018-9533-2.

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21

Ishii, Kazuo, Eiji Hayashi, Norhisam Bin Misron, and Blair Thornton. "Special Issue on Advanced Robotics in Agriculture, Forestry and Fisheries." Journal of Robotics and Mechatronics 30, no. 2 (2018): 163–64. http://dx.doi.org/10.20965/jrm.2018.p0163.

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The importance of primary industries, agriculture, forestry and fisheries, is obvious and needless to mention, however, the reduction of the working population and the aging problem make the situation of primary industry more sever. To compensate for the issues, the advanced technology in robotics has attracted attentions and expected the contributions in terms of productivity, cost effectiveness, pesticide-less, monitoring of the growth and harvesting, etc. Recently, robotic technologies are gradually being used in primary industry and their application area will expand more in the near futur

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22

Mendo, Tania, Sophie Smout, Theoni Photopoulou, and Mark James. "Identifying fishing grounds from vessel tracks: model-based inference for small scale fisheries." Royal Society Open Science 6, no. 10 (2019): 191161. http://dx.doi.org/10.1098/rsos.191161.

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Recent technological developments facilitate the collection of location data from fishing vessels at an increasing rate. The development of low-cost electronic systems allows tracking of small-scale fishing vessels, a sector of fishing fleets typically characterized by many, relatively small vessels. The imminent production of large spatial datasets for this previously data-poor sector creates a challenge in terms of data analysis. Several methods have been used to infer the spatial distribution of fishing activities from positional data. Here, we compare five approaches using either vessel sp

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23

Kim, Seung-Gyu, Sang-Hyun Lee, and Tae-Ho Im. "AI-RCAS: A Real-Time Artificial Intelligence Analysis System for Sustainable Fisheries Management." Sustainability 16, no. 18 (2024): 8178. http://dx.doi.org/10.3390/su16188178.

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This study proposes an Artificial Intelligence-based Real-time Catch Analysis System (AI-RCAS) for sustainable fisheries management. The AI-RCAS, implemented on a Jetson board, consists of fish recognition using YOLOv10, tracking with a ByteTrack algorithm optimized for marine environments, and a counting module. Experiments in actual fishing environments showed significant improvements, with species recognition rates of 74–81%. The system supports the efficient operation of the total allowable catch (TAC) system through real-time analysis, addressing the limitations of the existing Electronic

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24

N. Lanjewar, Gaurav, Shweta A. Sonawane, Digvijay D. Chauhan, Omkar Kode, Hitesh B. Jagane, and Saurabh Rawoo. "Navigating the Depths of the Global Marine Fisheries Crisis: A Brief Review." Chronicle of Aquatic Science 10, no. 01 (2024): 43–52. http://dx.doi.org/10.61851/coas.v1i10.04.

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The global fisheries industry faces a critical challenge with annual catches exceeding sustainable levels, leading to overexploitation. Establishing precise global limits is difficult, highlighting the need for immediate action, particularly due to severe overcapacity. Managing fisheries is complicated by uncertainties, requiring safety margins, risk management, and transparent institutional arrangements. Indiscriminate fishing methods like gill nets and traps pose ecological threats, capturing targeted species while endangering non-commercial marine species and disrupting marine ecosystems. E

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25

Tassetti, Anna Nora, Alessandro Galdelli, Jacopo Pulcinella, Adriano Mancini, and Luca Bolognini. "Addressing Gaps in Small-Scale Fisheries: A Low-Cost Tracking System." Sensors 22, no. 3 (2022): 839. http://dx.doi.org/10.3390/s22030839.

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During the last decade vessel-position-recording devices, such as the Vessel Monitoring System and the Automatic Identification System, have increasingly given accurate spatial and quantitative information of industrial fisheries. On the other hand, small-scale fisheries (vessels below 12 m) remain untracked and largely unregulated even though they play an important socio-economic and cultural role in European waters and coastal communities and account for most of the total EU fishing fleet. The typically low-technological capacity of these small-scale fishing boats—for which space and power o

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Shen, Huihui, and Liming Song. "Bridging the Gap between Electronic Monitoring Policy and Practice: From the Perspective of Chinese Tuna Longliners." Fishes 9, no. 10 (2024): 384. http://dx.doi.org/10.3390/fishes9100384.

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Electronic monitoring systems (EMSs) have been widely used in global fishing vessels as an effective tool to obtain reliable information about catches and fishing operations in order to verify compliance with national and international regulations. Though EMS implementation in tuna vessels has not yet been made a mandatory requirement by tuna regional fisheries management organizations, many Chinese longliners have the system on board for traceability and safety purposes. Based on interviews with managers and skippers on Chinese tuna longliners, this paper firstly identifies the challenges in

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27

Aydin, İlker, Alexandros Theocharis, Sercan Yapici, and Dimitris Klaoudatos. "Elasmobranch Species Composition in Otter Trawl Fisheries (Eastern Aegean Sea)." Oceans 6, no. 2 (2025): 34. https://doi.org/10.3390/oceans6020034.

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The Eastern Aegean Sea hosts a diverse assemblage of elasmobranchs, many of which are vulnerable or endangered. This study presents a fishery-independent assessment of species composition, catch characteristics, and spatial patterns in bottom trawl fisheries between Lesvos Island and Ayvalik. A total of 48 surveys were conducted between September 2022 and October 2024, identifying nine elasmobranch species, with Scyliorhinus canicula (small-spotted catshark) and Mustelus mustelus (common smooth-hound) dominating the catch. Biological parameters, sex ratios, and condition upon capture and relea

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van Helmond, Aloysius T. M., Chun Chen, and Jan Jaap Poos. "Using electronic monitoring to record catches of sole (Solea solea) in a bottom trawl fishery." ICES Journal of Marine Science 74, no. 5 (2017): 1421–27. http://dx.doi.org/10.1093/icesjms/fsw241.

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Electronic monitoring (EM) is often presented as a solution to document all catches through video observations under the EU landing obligation. However, identifying small fish on video in large volumes of catch is challenging. In this study, logbook records were compared with video observations for catches to test efficacy of EM for different size classes of sole (Solea solea) on board bottom trawlers. Comparisons were based on: (i) systematic differences (paired t-test), (ii) linear correlation (Pearson’s r), and (iii) absolute agreement (ICC). Results suggest that EM of small individuals in

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., Suharta, Sigit Bintoro, and Seto Nugroho. "Analysis of the Implementation of Electronic Measurable Fishing Information System (e-PIT) at Tegalsari Fishing Port." International Journal of Multidisciplinary Research and Growth Evaluation 6, no. 2 (2025): 01–11. https://doi.org/10.54660/.ijmrge.2025.6.2.01-11.

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The Indonesian government, through the Ministry of Marine Affairs and Fisheries (KKP), is implementing a quota and zone-based Measurable Fishing program to ensure the sustainability of fisheries resources and optimize economic benefits in this sector. In its implementation, KKP provides an Android-based Electronic Measurable Fishing (e-PIT) application. It aims to support fishing or fish transportation operations, provide service efficiency, provide data access and monitoring, and improve data validity. The study aimed to analyze the successful implementation of the e-PIT information system at

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30

Votier, S. C., R. B. Sherley, K. L. Scales, K. Camphuysen, and R. A. Phillips. "An overview of the impacts of fishing on seabirds, including identifying future research directions." ICES Journal of Marine Science 80, no. 9 (2023): 2380–92. http://dx.doi.org/10.1093/icesjms/fsad173.

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Abstract Knowledge of fisheries impacts, past and present, is essential for understanding the ecology and conservation of seabirds, but in a rapidly changing world, knowledge and research directions require updating. In this Introduction and in the articles in this Themed Set “Impacts of fishing on seabirds”, we update our understanding of how fishing impacts seabird communities and identify areas for future research. Despite awareness of the problems and mitigation efforts for &gt;20 years, fisheries still negatively impact seabirds via the effects of bycatch, competition, and discards. B

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Megantoro, Prisma, Antik Widi Anugrah, Muhammad Hudzaifah Abdillah, Bambang Joko Kustanto, Marwan Fadhilah, and Pandi Vigneshwaran. "Smart measurement and monitoring system for aquaculture fisheries with IoT-based telemetry system." Bulletin of Electrical Engineering and Informatics 13, no. 3 (2024): 1555–65. http://dx.doi.org/10.11591/eei.v13i3.6900.

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The instrumentation design of an online monitoring device for aquaculture media is discussed in this article. The main processor in this internet of things (IoT) real-time telemetry system is an ESP32 board. Temperature, acidity level, conductivity level, dissolved oxygen (DO) level, and degree of oxygen reduction in the water were the aquaculture parameters measured. The ESP32 collects data from each sensor, groups it into a dataset, displays it on the LCD, saves it to the SD card, and then uploads it to the real-time database. In addition, an Android application is being developed for users.

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Kraus, Richard T., Helen Bontrager, Christopher S. Vandergoot, and Matthew D. Faust. "Expanding freshwater biologger studies to view fish as environmental sensing platforms." Marine and Freshwater Research 73, no. 1 (2022): 133. http://dx.doi.org/10.1071/mf21046.

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While recording fish habitat use by electronic sensors, biologgers can also be viewed as autonomous environmental monitoring systems with the organism as a vehicle. This dual perspective has provided novel results from marine ecosystems, but has not been applied to freshwater ecosystems. To understand limitations in fresh water, we evaluated miniature depth and temperature recorders as aquatic monitoring systems in a Laurentian Great Lake: Erie. As part of an acoustic telemetry study, biologgers were opportunistically implanted in a subsample of walleye Sander vitreus. Biologgers recorded temp

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Muammar Yuliana, Edy Sutrisno, and Asropi. "Factors for The Implementation of Talent Management in the Ministry of Marine Affairs and Fisheries of The Republic of Indonesia." JMKSP (Jurnal Manajemen, Kepemimpinan, dan Supervisi Pendidikan) 8, no. 1 (2023): 390–404. http://dx.doi.org/10.31851/jmksp.v8i1.12077.

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Implementation of effective talent management at the Ministry of Marine Affairs and Fisheries (MMAF) has an important role in optimizing talent potential and improving organizational performance. This study aims to identify and analyze the factors that influence the implementation of talent management in MMAF focusing on the marine and fisheries sector in Indonesia. The research method used is a qualitative approach by conducting in-depth interviews with high-ranking officials, administrators, and functional officials who are directly involved in managing talent management at the Ministry. The

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RAMAKRISHNA, BHARATH, CHEIN-I. CHANG, BRUCE TROU, and JERRY HENQEMIHLE. "CHESAPEAKE BAY WATER QUALITY MONITORING USING SATELLITE IMAGERY." International Journal of High Speed Electronics and Systems 17, no. 04 (2007): 681–88. http://dx.doi.org/10.1142/s0129156407004886.

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The Chesapeake Bay is a valued ecological, economic, recreational, cultural and scenic resource. The Bay watershed States and the District of Columbia, in conjunction with the EPA Chesapeake Bay Program, have worked and teamed together over the past 20 years to protect and restore the Bay ecosystem. A key component of this effort is water quality and habitat monitoring to assess the impact of management actions and natural processes, and evaluate habitat parameters on living resources such as submerged aquatic vegetation (SAV), oysters, and fisheries. Using aerial and satellite remote sensing

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Stanley, Richard D., Howard McElderry, Tameezan Mawani, and John Koolman. "The advantages of an audit over a census approach to the review of video imagery in fishery monitoring." ICES Journal of Marine Science 68, no. 8 (2011): 1621–27. http://dx.doi.org/10.1093/icesjms/fsr058.

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Abstract Stanley, R. D., McElderry, H., Mawani, T., and Koolman, J. 2011. The advantages of an audit over a census approach to the review of video imagery in fishery monitoring. – ICES Journal of Marine Science, 68: 1621–1627. Technology-based fishery monitoring, or electronic monitoring (EM), has emerged as an alternative to human observers and is being applied in a variety of fisheries. The method records sensor and image data from fishing operations, so can be used to provide 100% monitoring of catches and fishing activity. Alternatively, EM can be used to audit catch data self-reported by

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Omkar Mahajan. "YOLOv8 based fish detection and classification on fishnet dataset." Journal of Electrical Systems 20, no. 3 (2024): 1456–64. http://dx.doi.org/10.52783/jes.3552.

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The research examines the marine fishing sector and highlights the urgent need for an electronic monitoring system designed to meet the unique needs of fishermen. The initiative’s motive is emphasized in the paper, which highlights how cutting-edge technology like object detection and tracking could revolutionize the fishing industry when integrated into an electronic monitoring framework. The research proposes an electronic monitoring system based on YOLOv8 (You Only Look Once) as a comprehensive solution to address current issues, such as out-of-date data collection methods and a lack of gui

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Morris, David J., John K. Pinnegar, David L. Maxwell, et al. "Over 10 million seawater temperature records for the United Kingdom Continental Shelf between 1880 and 2014 from 17 Cefas (United Kingdom government) marine data systems." Earth System Science Data 10, no. 1 (2018): 27–51. http://dx.doi.org/10.5194/essd-10-27-2018.

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Abstract. The datasets described here bring together quality-controlled seawater temperature measurements from over 130 years of departmental government-funded marine science investigations in the UK (United Kingdom). Since before the foundation of a Marine Biological Association fisheries laboratory in 1902 and through subsequent evolutions as the Directorate of Fisheries Research and the current Centre for Environment Fisheries &amp; Aquaculture Science, UK government marine scientists and observers have been collecting seawater temperature data as part of oceanographic, chemical, biolog

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Vinston Raja, R., K. Ashok Kumar, and V. Gokula Krishnan. "Condition based Ensemble Deep Learning and Machine Learning Classification Technique for Integrated Potential Fishing Zone Future Forecasting." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 2 (2023): 75–85. http://dx.doi.org/10.17762/ijritcc.v11i2.6131.

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Artificial Intelligence (AI) technologies have become a popular application in order to improve the sustainability of smart fisheries. Although the ultimate objective of AI applications is often described as sustainability, there is yet no proof as to how AI contributes to sustainable fisheries. The proper monitoring of the longitudinal delivery of different human impacts on activities such as fishing is a major concern today in aquatic conservation. The term "potential fishing zone" (PFZ) refers to an anticipated area of any given sea where a variety of fish may congregate for some time. The

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Maigoro, Garba Mato, and Assoc Prof Lazarus Joseph Goje. "Recent Insight on Biochip and Its Applications." International Journal of Advances in Engineering and Management 7, no. 2 (2025): 673–80. https://doi.org/10.35629/5252-0702673680.

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Biochips represent one of the most groundbreaking technological advancements emerging from the convergence of biotechnology, electronics, and computer science in recent years. These miniaturized devices, often no larger than a fingernail, integrate thousands to millions of biosensors on a solid substrate, enabling highthroughput and rapid analysis of complex biological processes. Originally developed for monitoring fisheries, biochips have since found applications in diverse fields, including genomics, proteomics, pharmaceuticals, medical diagnostics, environmental monitoring, and even animal

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Ou, Liguo, Bilin Liu, Xinjun Chen, Qi He, Weiguo Qian, and Leilei Zou. "Automated Identification of Morphological Characteristics of Three Thunnus Species Based on Different Machine Learning Algorithms." Fishes 8, no. 4 (2023): 182. http://dx.doi.org/10.3390/fishes8040182.

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Tuna are economically important fish species. The automated identification of tuna species is of importance in fishery production and resource assessment in that it would facilitate the informed monitoring of tuna fishing vessels and the establishment of electronic observer systems. As morphological characteristics are important for tuna identification, this study aims to verify the performance of the automated identification of three Thunnus species through morphological characteristics based on different machine learning algorithms. Firstly, morphological outlines were visually analyzed usin

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Nelson, Lindsey, David McElroy, Andrew Jones, and George Maynard. "How the collection of fish length data using electronic monitoring video review measures up to current methods used on a fishery-independent survey." Journal of Northwest Atlantic Fishery Science 55 (August 2, 2024): 01–10. http://dx.doi.org/10.2960/j.v55.m746.

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Electronic monitoring (EM) systems are tools that can generate fisheries survey data when at-sea challenges such as on-deck logistics, workload capacity, or deployment interruptions prevent staff from fulfilling their duties. We sought to validate EM’s specific utility in collecting fish lengths at a comparable resolution to those collected at sea during a fishery-independent survey, the Gulf of Maine Bottom Longline Survey. We also examined whether measurement accuracy was influenced by tail morphology and length type (fork, total, and stretched total) by selecting individuals from six anatom

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Plet-Hansen, Kristian S., Søren Q. Eliasen, Lars O. Mortensen, Heiðrikur Bergsson, Hans J. Olesen, and Clara Ulrich. "Remote electronic monitoring and the landing obligation – some insights into fishers’ and fishery inspectors’ opinions." Marine Policy 76 (February 2017): 98–106. http://dx.doi.org/10.1016/j.marpol.2016.11.028.

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Sung, Wen-Tsai, Indra Griha Tofik Isa, and Sung-Jung Hsiao. "Designing Aquaculture Monitoring System Based on Data Fusion through Deep Reinforcement Learning (DRL)." Electronics 12, no. 9 (2023): 2032. http://dx.doi.org/10.3390/electronics12092032.

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The aquaculture production sector is one of the suppliers of global food consumption needs. Countries that have a large amount of water contribute to the needs of aquaculture production, especially the freshwater fisheries sector. Indonesia is a country that has a large number of large bodies of water and is the top-five producer of aquaculture production. Technology and engineering continue to be developed to improve the quality and quantity of aquaculture production. One aspect that can be observed is how the condition of fish pond water is healthy and supports fish growth. Various studies h

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Sudan, Prerak, Aitha Srividya, Thiru Chitrambalam M, et al. "Design and development of a database management system for aquatic research data." International Journal of Aquatic Research and Environmental Studies 5, no. 1 (2025): 215–20. https://doi.org/10.70102/ijares/v5i1/5-1-22.

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Enhancing and digitising aqua farming requires a framework for collecting databases and continuous observing of numerous functional parts of water cultivating. The security and development of customary aquatic cultivating, particularly in precipitous locales with supportable advancement objectives, can benefit from the application of cutting-edge technology that enable data collecting and real-time monitoring. The aqua resources' geotagging and geomapping will be crucial for tracking the species in the amphibian climate. These innovations can follow the wellbeing, position, and development of

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Aydın, Hamdi. "A Comprehensive Analysis of Publications on Aquaculture and Artificial İntelligence, Published on Web of Science." Journal of Anatolian Environmental and Animal Sciences 10, no. 3 (2025): 237–46. https://doi.org/10.35229/jaes.1644688.

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Aquaculture is gaining importance due to the increasing population and food demand. However, one of the biggest challenges in the sector is the need for innovative technologies. Artificial intelligence (AI) offers important solutions in environmental process management, early disease detection, water quality monitoring and optimizing feeding strategies. This study examines the evolution of AI in aquaculture by analyzing 202 publications in the Web of Science database between 1998 and 2024. Academic productivity has increased rapidly in recent years, reaching 64 articles in 2024. The most commo

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Prem Monickaraj, Vigilson, Sterlin Rani Devakadacham, Nithyadevi Shanmugam, Nithya Nandhakumar, Manjunathan Alagarsamy, and Kannadhasan Suriyan. "Deep learning and machine learning classification technique for integrated forecasting." IAES International Journal of Artificial Intelligence (IJ-AI) 13, no. 2 (2024): 1519. http://dx.doi.org/10.11591/ijai.v13.i2.pp1519-1525.

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Smart fisheries are increasingly using artificial intelligence (AI) technologies to increase their sustainability. The potential fishing zone (PFZ) forecasts several fish aggregation zones throughout the duration of the prediction in any sea. The autoregressive integrated moving average (ARIMA) and random forest model are used in the current study to provide a technique for locating viable fishing zones in deep marine seas. A significant amount of data was gathered for the database's creation, including monitoring information for Indian fishing fleets from 2017 to 2019. Using expert label data

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Okomba, Nnamdi, Adebimpe Esan, Bolaji Omodunbi, et al. "Development of Microcontroller Based Water Quality Monitoring and Water Level Control Device." FUOYE Journal of Engineering and Technology 9, no. 1 (2024): 43–48. http://dx.doi.org/10.4314/fuoyejet.v9i1.7.

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Access to clean and safe water is not only a fundamental human right but also a vital requirement for electronics industries, chemicals industries, pharmaceuticals, food and beverage production, fisheries and aquatic farming. This project addresses the pressing issue of water quality monitoring and efficient water usage within the context of these industries. The study's identification of problem areas for water quality can lead to more efficient interventions and solutions to safeguard the environment, and prevent waterborne diseases. This paper presents the design and implementation of micro

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Peplinski, William J., Jesse Roberts, Geoff Klise, et al. "Marine Energy Environmental Permitting and Compliance Costs." Energies 14, no. 16 (2021): 4719. http://dx.doi.org/10.3390/en14164719.

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Costs to permit Marine Energy projects are poorly understood. In this paper we examine environmental compliance and permitting costs for 19 projects in the U.S., covering the last 2 decades. Guided discussions were conducted with developers over a 3-year period to obtain historical and ongoing project cost data relative to environmental studies (e.g., baseline or pre-project site characterization as well as post-installation effects monitoring), stakeholder outreach, and mitigation, as well as qualitative experience of the permitting process. Data are organized in categories of technology type

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Er, Meng Joo, Jie Chen, Yani Zhang, and Wenxiao Gao. "Research Challenges, Recent Advances, and Popular Datasets in Deep Learning-Based Underwater Marine Object Detection: A Review." Sensors 23, no. 4 (2023): 1990. http://dx.doi.org/10.3390/s23041990.

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Underwater marine object detection, as one of the most fundamental techniques in the community of marine science and engineering, has been shown to exhibit tremendous potential for exploring the oceans in recent years. It has been widely applied in practical applications, such as monitoring of underwater ecosystems, exploration of natural resources, management of commercial fisheries, etc. However, due to complexity of the underwater environment, characteristics of marine objects, and limitations imposed by exploration equipment, detection performance in terms of speed, accuracy, and robustnes

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Fetterplace, Lachlan, Peter Ljungberg, Norrman Emilia Benavente, et al. "AquaticVID: a low cost, extended battery life, plug-and-go video system for aquatic research." Research Ideas and Outcomes 9 (December 8, 2023): e114134. https://doi.org/10.3897/rio.9.e114134.

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AquaticVID is a low-cost, long battery life video camera system for use in a wide-range of aquatic research applications. The system can be deployed for multiple day recording on a single charge, is submersible to depths of down to 950 m and can be constructed quickly using easily sourced off-the-shelf materials. The system is essentially 'plug-and-go', as assembly and preparation for deployment takes < 30 minutes without the need for technical build or programming skills. All of the electrical components are interchangeable with parts from multiple manufacturers and the camera system can b

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