Relevant bibliographies by topics / Electronic monitoring in fisheries

Academic literature on the topic 'Electronic monitoring in fisheries'

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Published: 27 July 2024
Last updated: 28 July 2024

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Journal articles on the topic "Electronic monitoring in fisheries"

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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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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 (November 11, 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 (May 10, 2019): 901–26. http://dx.doi.org/10.1002/aqc.3086.

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Brown, Christopher J., Amelia Desbiens, Max D. Campbell, Edward T. Game, Eric Gilman, Richard J. Hamilton, Craig Heberer, David Itano, and Kydd Pollock. "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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Helmond, Aloysius T. M., Lars O. Mortensen, Kristian S. Plet‐Hansen, Clara Ulrich, Coby L. Needle, Daniel Oesterwind, Lotte Kindt‐Larsen, et al. "Electronic monitoring in fisheries: Lessons from global experiences and future opportunities." Fish and Fisheries 21, no. 1 (November 14, 2019): 162–89. http://dx.doi.org/10.1111/faf.12425.

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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, Josefine Egekvist, Kirsten Birch Håkansson, Jørgen Dalskov, Lotte Kindt-Larsen, and Marie Storr-Paulsen. "Discarding of cod in the Danish Fully Documented Fisheries trials." ICES Journal of Marine Science 72, no. 6 (March 15, 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 quality of the FDF data collected during 2008–2014 and their potential in strengthening information on cod discards. The analyses demonstrate the improved reporting of discards in logbooks and overall discard reductions, but they also show that some uncertainties around the absolute estimates of discard quantities have remained. Regular validation of weight estimation methods and close collaboration between scientific monitoring and control are important to support the use of reported discards as a reliable source of information. We discuss the potential of electronic monitoring in the context of the EU landing obligation.
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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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Acharya, Debaditya, Moshiur Farazi, Vivien Rolland, Lars Petersson, Uwe Rosebrock, Daniel Smith, Jessica Ford, 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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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 innovations as well as advancements in robotics, autonomous systems, automatic feeding devices, drones, electronic tracking and reporting, acoustic devices, remote sensing and satellite monitoring are all on display. With the help of technology, the production and trading of fisheries can undergo an emerging shift. Technology has also set its way to the fish markets and supply chains. This study focuses on how technology may increase the sustainability, efficacy and transparency of fisheries paving the way for a future in which ethical fishing practices and healthy marine ecosystems coexist.
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Dissertations / Theses on the topic "Electronic monitoring in fisheries"

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Paylor, Adrienne D. "Community-based fisheries management and monitoring development and evaluation." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp01/MQ32946.pdf.

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Shashidhara, Shilpa. "Resident Rights and Electronic Monitoring." Thesis, University of North Texas, 2010. https://digital.library.unt.edu/ark:/67531/metadc31546/.

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The purpose of this exploratory study was to examine resident, family member and staff perceptions of electronic monitoring and their effect on resident rights. The sample consisted of 53 nursing home residents, 104 staff and 25 family members, in the Dallas Fort Worth metroplex, from a nursing facility in which residents utilize video cameras in their rooms (Nursing Facility 1), two nursing facilities that have video cameras in their common rooms areas (Nursing Facility 2 and 3) and a nursing facility that does not utilize video cameras (Nursing Facility 4). The interview questions and self-administered surveys were in regard to the participant's perceptions of electronic monitoring, perceived risks and benefits of video cameras, awareness of resident rights and consciousness of potential risks to resident rights. Data were analyzed using a mixed methods approach using both ATLAS t.i and SAS. Study findings revealed that residents, family members and staff are aware of the potential benefits of electronic monitoring in nursing facilities. While respondents are hesitant to have electronic monitoring in resident rooms, they are interested in utilizing electronic monitoring in common areas. While residents and staff believe that electronic monitoring compromises resident rights, family members believe resident rights are protected. Different types of staff have different perceptions of electronic monitoring. Those staff members that are more directly involved in resident care are less accepting of electronic monitoring compared to staff that have episodic visits with residents. Among staff members, nursing facilities with prior experience with electronic monitoring are less accepting of electronic monitoring. Further studies are needed to enhance this research.
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Giussani, Riccardo. "PD monitoring of power electronic converters." Thesis, University of Manchester, 2016. https://www.research.manchester.ac.uk/portal/en/theses/pd-monitoring-of-power-electronic-converters(eea30376-4752-416c-a046-2773a21064c4).html.

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Wind turbine converters used in multi-megawatt machines will operate at high voltages, particularly in future generations of wind turbines where direct connections to a HVDC backbone are made. Given the pressure to achieve high power densities in a converter to minimise the space utilised, the pressure on the high voltage insulation system to be reduced in size to the minimum possible is great. With it, this brings the increased risk of electrical discharge within the system insulation. The PhD project has therefore examined a number of issues: a) Evaluation of the risks posed to HV power electronic systems from electrical discharge: on the basis of a literature survey, discussions with converter manufacturers and the application of standard HV engineering models, the risks to a power electronic system in the wind turbine application will be assessed. b) Theoretical assessment of potential monitoring techniques: Given the risks that have been described in (a) above, the possible ways in which monitoring could be applied will be investigated. Each risk will be assessed to confirm that discharge mechanism that results in failure/damage will produce some form of measurable signal (whether this is through voltage, current acoustic, RF etc.). c) Experimental assessment of sensors for use in HV power electronic monitoring: Using a HV source within an anechoic chamber (to provide RF and acoustic noise reduction), a range of HV defects that could occur in power electronic systems will be simulated. The ability of suitably characterised sensors to detect the defects will be assessed. The research has then focus on RF detection of PD to develop a measurement method that can be applied to operating s power electronic converters (EPC).Firstly the RF emissions of several types of discharge have been studied in depth alongside the study of the effect of the environmental pressure on the signature of the different discharges. Then, the knowledge gathered was applied to perform and verify the effectiveness of RF measurements to online detect PD within operating EPC. Finally the applicability of the RF technique was verified for the detection of other electrical discharges (non-PD like) as electrical tracking.
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McIntyre, Fiona Doreen. "Development of visual survey methods to support environmental monitoring and fisheries management." Thesis, University of Aberdeen, 2015. http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?pid=226947.

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Visual surveys provide for non-invasive sampling of organisms and habitats in the marine environment. They are particularly important in deep-sea habitats which are vulnerable to damage caused by alternative destructive sampling devices such as bottom trawls. However, traditional visual survey platforms tend to have limited area coverage which is insufficient for mapping the vast expanses of the deep-sea, particularly for relatively sparsely distributed organisms such as fish. This thesis presents the development of a visual survey method capable of surveying large areas of the seabed in deep waters (> 200 m) using a towed video camera system. The area of seabed sampled was similar to that sampled by a bottom trawl, making the system effective for surveying fish. Anglerfish densities were found to be comparable to those determined by trawl surveys in adjacent areas. For other deep-sea fish, the two survey methods (towed camera and bottom trawl) provided different results which were explained by the behavioural reactions of different fish taxa to the respective gears. Fish that exhibited detectable avoidance behaviour to the towed video camera system (e.g. Chimaeridae) resulted in significantly lower density estimates than trawl estimates. On the other hand, skates and rays showed no reaction to the towed video camera system, and density estimates of these were an order of magnitude higher than the trawl. The towed video camera survey was also deployed to gather data on the cold-water coral Lophelia pertusa on the Rockall Bank. These data were used together with Species Distribution Modelling (SDM) to predict the distribution of Lophelia pertusa habitat. The current closed areas on the Rockall Bank cover sizeable areas of potential Lophelia pertusa habitat, however, based on the predictions further areas could be considered to ensure the continued protection of this species.
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Jones, Kate. "Monitoring, Assessment, and Management of the Green Sea Urchin (Strongylocentrotus droebachiensis) Fishery in Maine." Fogler Library, University of Maine, 2006. http://www.library.umaine.edu/theses/pdf/JonesKX2006.pdf.

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Besrour, Marouen. "Wearable electronic sensors for vital sign monitoring." Master's thesis, Université Laval, 2018. http://hdl.handle.net/20.500.11794/29543.

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On propose dans ce mémoire un nouveau type de capteur pour la mesure des fonctions respiratoires et cardiaques à des fins médicales. Le système offre la possibilité de mesurer le rythme respiratoire et la profondeur de respiration et de transmettre les données vers une station locale pour une analyse plus poussé et un diagnostic. Le capteur proposé est basé sur une approche électromagnétique où on utilise deux antennes posées sur la cage thoracique du patient. Lorsque le patient inspire et expire l’air avec ses poumons, le diamètre de la cage thoracique de ce dernier va augmenter et par conséquent la distance entre les deux antennes aussi. Le système mesure l’écart relatif entre les deux pour extraire le rythme respiratoire. Le point clé du capteur est d’encoder le signal de respiration sous forme de différence de phase entre l’onde émise et l’onde reçue conférant au système une bonne immunité contre les bruits des signaux externes. Le design a été implémenté sur un PCB (46mm x 46mm) pour fournir une preuve de concept de la méthode proposée. Les tests ont été conduits sur trois sujets de deux sexes et d’âges distincts. Les données mesurées démontrent que le système fonctionne sur différentes morphologies physiques. Finalement, le capteur a été capable de recueillir avec grande précision le rythme respiratoire et même la fréquence cardiaque.
We propose in this project a wearable electronic Patch Radar sensor that can monitor respiration rate and respiration depth continuously in real-time and transmit data to a base station for analysis. The device relies on a two-antenna configuration. Both antennas are bent to the patient chest, and when the patient breathes, the mechanical movement of the chest wall changes the distance between them. The system measures the relative distance between the antennas to extract the respiration pattern. The key feature of the sensor is that it transduces respiration movements to phase shifts in RF wave signals which make it very robust against external interferences. The design was implemented on a PCB (46mm x 46mm) to demonstrate a proof of concept for the proposed device. The system was able to acquire respiration signals and even cardiac frequency. Experimental results are presented for three different subjects, an adult male and female and a child. The data gathered gives enough sensitivity and accuracy to state that the device can work with different physical morphologies.
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Marzuki, Marza Ihsan. "VMS data analyses and modeling for the monitoring and surveillance of Indonesian fisheries." Thesis, Ecole nationale supérieure Mines-Télécom Atlantique Bretagne Pays de la Loire, 2017. http://www.theses.fr/2017IMTA0012/document.

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Le suivi, le contrôle et la surveillance (MCS) des pêches marines sont des problèmes essentiels pour la gestion durable des ressources halieutiques. Dans cette thèse, nous étudions le suivi spatial des activités des navires de pêche en utilisant les données de trajectoire du système de surveillance des navires (VMS) dans le cadre du projet INDESO (2013-2017). Notre objectif général est de développer une chaîne de traitement des données VMS afin de: i) effectuer un suivi de l'effort de pêche des flottilles de palangriers indonésiens, ii) détecter les activités de pêche illégales et évaluer leur importance. L'approche proposée repose sur des modèles de mélange gaussien (GMM) et les modèles de Markov cachés (HMM), en vue d'identifier les comportements élémentaires des navires de pêche, tels que les voyages, la recherche et les activités de pêche, dans un cadre non supervisé. Nous considérons différentes paramétrisations de ces modèles avec une étude particulière des palangriers indonésiens, pour lesquels nous pouvons bénéficier de données d'observateurs embarqués afin de procéder à une évaluation quantitative des modèles proposés et testés.Nous exploitons ensuite ces modèles statistiques pour deux objectifs différents: a) la discrimination des différents flottilles de pêche à partir des trajectoires des navires de pêche et l'application à la détection et à l'évaluation des activités de pêche illégale, b) l'évaluation d'un effort de pêche spatialisé à partir des données VMS. Nous obtenons de très bons taux de reconnaissance (environ 97%) pour la première tâche et nos expériences soutiennent le potentiel d'une exploration opérationnelle de l'approche proposée. En raison du nombre limité de données d'observateurs embarqués, seules des analyses préliminaires on pu être effectuées pour l'estimation de l'effort de pêche à partir des données VMS. Au-delà des développements méthodologiques potentiels, cette thèse met l'accent sur l'importance de la qualité de données d'observation en mer représentatives pour développer davantage l'exploitation des données VMS tant pour la recherche que pour les questions opérationnelles
Monitoring, control and surveillance (MCS) of marine fisheries are critical issues for the sustainable management of marine fisheries. In this thesis we investigate the space-based monitoring of fishing vessel activities using Vessel Monitoring System (VMS) trajectory data in the context of INDESO project (2013-2017). Our general objective is to develop a processing chain of VMS data in order to: i) perform a follow-up of the fishing effort of the Indonesian longline fleets, ii) detect illegal fishing activities and assess their importance. The proposed approach relies on classical latent class models, namely Gaussian Mixture Models (GMM) and Hidden Markov Models (HMM), with a view to identifying elementary fishing vessel behaviors, such as travelling, searching and fishing activities, in a unsupervised framework. Following state-of-the-art approaches, we consider different parameterizations of these models with a specific focus on Indonesian longliners, for which we can benefit from at-sea observers¿ data to proceed to a quantitative evaluation. We then exploit these statistical models for two different objectives: a) the discrimination of different fishing fleets from fishing vessel trajectories and the application to the detection and assessment of illegal fishing activities, b) the assessment of a spatialized fishing effort from VMS data. We report good recognition rate (about 97%) for the former task and our experiments support the potential for an operational exploration of the proposed approach. Due to limited at-sea observers¿ data, only preliminary analyses could be carried out for the proposed VMS-derived fishing effort. Beyond potential methodological developments, this thesis emphasizes the importance of high-quality and representative at-sea observer data for further developing the exploitation of VMS data both for research and operational issues
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Schneider, Kerstin. "Electronic monitoring : alternativer Strafvollzug oder Alternative zum Strafvollzug? /." Baden-Baden : Nomos, 2003. http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&doc_number=010416529&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA.

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Flanagan, Ian MacPherson. "An electronic system for wear-debris condition monitoring." Thesis, University of Edinburgh, 1987. http://hdl.handle.net/1842/14864.

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Bidaki, Laila June. "The effects of electronic performance monitoring on performance." CSUSB ScholarWorks, 2004. https://scholarworks.lib.csusb.edu/etd-project/2588.

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Books on the topic "Electronic monitoring in fisheries"

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Pacific Islands Forum Fisheries Agency. Pacific Islands Forum Fisheries Agency vessel monitoring system review report. Honiara, Solomon Islands?]: KAZ Canberra for Pacific Islands Forum Fisheries Agency, 2007.

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Alaska Fisheries Science Center (U.S.), ed. Electronic monitoring of seabird interactions with trawl third-wire cables on trawl vessels: A pilot study. Seattle, WA: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Marine Fisheries Service, Alaska Fisheries Science Center, 2004.

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Food and Agriculture Organization of the United Nations. Fishing Technology Service., ed. Fishing operations. Rome: Food and Agriculture Organization of the United Nations, 1998.

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Daems, Tom. Electronic Monitoring. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-34039-1.

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Guo, Xiaohui, ed. Electronic Fetal Monitoring. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-7364-4.

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Weaver, Thomas M. Coal Creek fisheries monitoring study no. IX and forest-wide fisheries monitoring, 1990. Kalispell, Mont: Montana Dept. of Fish, Wildlife and Parks, Special Projects, 1991.

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Canada, Canada Solicter General. Electronic monitoring in Canada. Ottawa: Department of the Solicitor General, 1999.

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Bonta, James. Electronic monitoring in Canada. [Ottawa]: Solicitor General Canada, 1999.

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Mueller, Gordon. Monitoring impacts on inland fisheries using hydroacoustics. Denver, Colo: U.S. Dept. of the Interior, Bureau of Reclamation, Denver Office, 1993.

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Mueller, Gordon. Monitoring impacts on inland fisheries using hydroacoustics. Denver, Colo: United States Dept. of the Interior, Bureau of Reclamation, 1993.

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Book chapters on the topic "Electronic monitoring in fisheries"

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Haverkamp, Rita. "Electronic Monitoring." In Encyclopedia of Criminology and Criminal Justice, 1329–38. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4614-5690-2_570.

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Daems, Tom. "Electronic Monitoring in a Culture of Surveillance." In Electronic Monitoring, 1–22. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-34039-1_1.

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Daems, Tom. "Functions of Electronic Monitoring: A to H." In Electronic Monitoring, 23–51. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-34039-1_2.

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Daems, Tom. "Functions of Electronic Monitoring: I to W." In Electronic Monitoring, 53–74. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-34039-1_3.

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Daems, Tom. "Conclusion: Defamiliarizing Electronic Monitoring." In Electronic Monitoring, 75–84. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-34039-1_4.

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Enabudoso, Ehigha. "Electronic Fetal Monitoring." In Contemporary Obstetrics and Gynecology for Developing Countries, 159–73. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-75385-6_15.

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Kassem, Ali, Yliès Falcone, and Pascal Lafourcade. "Monitoring Electronic Exams." In Runtime Verification, 118–35. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23820-3_8.

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Hiramatsu, Kazuhiko. "Fisheries Stock Assessment." In Fish Population Dynamics, Monitoring, and Management, 159–76. Tokyo: Springer Japan, 2018. http://dx.doi.org/10.1007/978-4-431-56621-2_9.

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Shi, Wei, and Xiaohui Guo. "Abnormal Pregnancy." In Electronic Fetal Monitoring, 119–71. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-7364-4_5.

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Li, Zhaoxi, and Xiaohui Guo. "Assessment of Fetal Well-Being." In Electronic Fetal Monitoring, 1–18. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-7364-4_1.

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Conference papers on the topic "Electronic monitoring in fisheries"

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Rupok, Quazi Sunjida Shawket, Kamrul Hassan Suman, Md Nazmus Sakib, and Juhi Agarwal. "Sensor Data Fusion for Monitoring Water Quality Toward Sustainable Freshwater Fisheries." In 2020 Emerging Technology in Computing, Communication and Electronics (ETCCE). IEEE, 2020. http://dx.doi.org/10.1109/etcce51779.2020.9350876.

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Suhuai Luo, Xuechen Li, Dadong Wang, Changming Sun, Jiaming Li, and Guijin Tang. "Intelligent tuna recognition for fisheries monitoring." In 2015 12th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP). IEEE, 2015. http://dx.doi.org/10.1109/iccwamtip.2015.7493966.

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Mueter, F. J., and B. L. Norcross. "A Multivariate Approach to Monitoring Changes in Species Composition of a Demersal Fish Community." In Ecosystem Approaches for Fisheries Management. Alaska Sea Grant, University of Alaska Fairbanks, 1999. http://dx.doi.org/10.4027/eafm.1999.42.

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Kline Jr., T. C. "Monitoring Changes in Oceanographic Forcing Using the Carbon and Nitrogen Isotopic Composition of Prince William Sound Pelagic Biota." In Ecosystem Approaches for Fisheries Management. Alaska Sea Grant, University of Alaska Fairbanks, 1999. http://dx.doi.org/10.4027/eafm.1999.10.

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Scalabrin, C., N. Diner, G. Veron, D. Choqueuse, and F. Sanchez. "Autonomous bottom moored acoustic observatory for fisheries resources monitoring." In Oceans 2005 - Europe. IEEE, 2005. http://dx.doi.org/10.1109/oceanse.2005.1511710.

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Wise, J. "Fisheries Statistics--Boring Stuff Until You Need Them for Monitoring." In OCEANS '86. IEEE, 1986. http://dx.doi.org/10.1109/oceans.1986.1160401.

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Merritt, Margaret F. "A Collaborative Approach to Prioritizing Fisheries Research and Harvest Monitoring: A Case Study of the Federal Subsistence Fisheries Program in Alaska." In The International Symposium on the Analytic Hierarchy Process. Creative Decisions Foundation, 2009. http://dx.doi.org/10.13033/isahp.y2009.002.

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Themistocleous, Kyriacos. "Monitoring aquaculture fisheries using Sentinel -2 images by identifying plastic fishery rings." In Earth Resources and Environmental Remote Sensing/GIS Applications XII, edited by Karsten Schulz, Konstantinos G. Nikolakopoulos, and Ulrich Michel. SPIE, 2021. http://dx.doi.org/10.1117/12.2600225.

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Thai-Nghe, Nguyen, Tran Thanh Hung, and Nguyen Chi Ngon. "A Forecasting Model for Monitoring Water Quality in Aquaculture and Fisheries IoT Systems." In 2020 International Conference on Advanced Computing and Applications (ACOMP). IEEE, 2020. http://dx.doi.org/10.1109/acomp50827.2020.00033.

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Guida, Raffaella, Maximilian Rodger, Vickram Bissonauth, Ziyaad Soreefan, Pawan Hurnath, Mary Matthews, and Ahmed Elseoud. "Nereus: A Space-Based Maritime Surveillance System for Fisheries Monitoring and Anomaly Detection." In IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2023. http://dx.doi.org/10.1109/igarss52108.2023.10282136.

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Reports on the topic "Electronic monitoring in fisheries"

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Tidd, Alexander N., Richard A. Ayers, Grant P. Course, and Guy R. Pasco. Scottish Inshore Fisheries Integrated Data System (SIFIDS): work package 6 final report development of a pilot relational data resource for the collation and interpretation of inshore fisheries data. Edited by Mark James and Hannah Ladd-Jones. Marine Alliance for Science and Technology for Scotland (MASTS), 2019. http://dx.doi.org/10.15664/10023.23452.

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[Extract from Executive Summary] The competition for space from competing sectors in the coastal waters of Scotland has never been greater and thus there is a growing a need for interactive seascape planning tools that encompass all marine activities. Similarly, the need to gather data to inform decision makers, especially in the fishing industry, has become essential to provide advice on the economic impact on fishing fleets both in terms of alternative conservation measures (e.g. effort limitations, temporal and spatial closures) as well as the overlap with other activities, thereby allowing stakeholders to derive a preferred option. The SIFIDS project was conceived to allow the different relevant data sources to be identified and to allow these data to be collated in one place, rather than as isolated data sets with multiple data owners. The online interactive tool developed as part of the project (Work Package 6) brought together relevant data sets and developed data storage facilities and a user interface to allow various types of user to view and interrogate the data. Some of these data sets were obtained as static layers which could sit as background data e.g. substrate type, UK fishing limits; whilst other data came directly from electronic monitoring systems developed as part of the SIFIDS project. The main non-static data source was Work Package 2, which was collecting data from a sample of volunteer inshore fishing vessels (<12m). This included data on location; time; vessel speed; count, time and position of deployment of strings of creels (or as fleets and pots as they are also known respectively); and a count of how many creels were hauled on these strings. The interactive online tool allowed all the above data to be collated in a specially designed database and displayed in near real time on the web-based application.
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van der Hammen, T. Recreational fisheries monitoring (REC_self). Stichting Wageningen Research, Centrum voor Visserijonderzoek (CVO), 2023. http://dx.doi.org/10.18174/634030.

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McLellan, Holly, Chuck Lee, Ben Scofield, and Deanne Pavlik. Lake Roosevelt Fisheries Evaluation Program : Limnological and Fisheries Monitoring Annual Report 1999. Office of Scientific and Technical Information (OSTI), August 1999. http://dx.doi.org/10.2172/961866.

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Lee, Chuck, Ben Scofield, and Deanne Pavlik. Lake Roosevelt Fisheries Evaluation Program; Limnological and Fisheries Monitoring, Annual Report 2000. Office of Scientific and Technical Information (OSTI), March 2003. http://dx.doi.org/10.2172/963063.

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Underwood, Keith D., and John P. Shields. Lake Roosevelt Fisheries Monitoring Program; Lake Roosevelt Fisheries and Limnological Research; 1995 Annual Report. Office of Scientific and Technical Information (OSTI), September 1996. http://dx.doi.org/10.2172/441712.

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Tilson, Mary Beth, Keith D. Underwood, and John Shields. Lake Roosevelt Fisheries Monitoring Program; Lake Roosevelt Fisheries and Limnological Research; 1994 Annual Report. Office of Scientific and Technical Information (OSTI), August 1996. http://dx.doi.org/10.2172/395675.

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Griffith, Janelle R., and Allan T. Scholz. Lake Roosevelt Fisheries Monitoring Program; 1990 Annual Report. Office of Scientific and Technical Information (OSTI), September 1991. http://dx.doi.org/10.2172/897663.

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Underwood, Keith D., and John Shields. Lake Roosevelt Fisheries Monitoring Program; 1993 Annual Report. Office of Scientific and Technical Information (OSTI), June 1996. http://dx.doi.org/10.2172/373842.

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Kerley, B. L. Chickamauga Reservoir 1992 fisheries monitoring cove rotenone results. Office of Scientific and Technical Information (OSTI), June 1993. http://dx.doi.org/10.2172/10182048.

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Perrey, Arnold G., Barry A. Bell, and Marshall J. Treado. Evaluation of electronic monitoring devices. Gaithersburg, MD: National Bureau of Standards, 1986. http://dx.doi.org/10.6028/nbs.ir.86-3501.

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