Relevant bibliographies by topics / Fishing

Academic literature on the topic 'Fishing'

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Published: 4 June 2021
Last updated: 1 August 2024

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Journal articles on the topic "Fishing"

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Hilborn, Ray, Julia K. Parrish, and Kate Litle. "Fishing Rights or Fishing Wrongs?" Reviews in Fish Biology and Fisheries 15, no. 3 (August 2005): 191–99. http://dx.doi.org/10.1007/s11160-005-5138-7.

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Risma Yudha Ariyantono, Ernani Lubis, Iin Solihin, and Anwar Bey Pane. "The Compliance level of fishing actors and their problems in The Coastal Fishing Port Sadeng to regulations." Marine Fisheries : Journal of Marine Fisheries Technology and Management 11, no. 2 (December 13, 2021): 169–79. http://dx.doi.org/10.29244/jmf.v11i2.36181.

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The Coastal Fishing Port Sadeng is located in Girisubo District, Gunung Kidul Regency, Yogyakarta. The Coastal Fishing Port Sadeng plays a role to support the development of marine fisheries in the Special Region of Yogyakarta Province. The initial information obtained was that at The Coastal Fishing Port Sadeng, fishing actors did not comply with licensing documents. The purpose of this study was to determine the problem and assess the level of compliance of fishing’s actors in The Coastal Fishing Port Sadeng, which has fishing vessels with a size of more than 5 GT, to the applicable regulations in the marine and fisheries sector. The method used in this research is a case study on the compliance of fishing vessels at The Coastal Fishing Port Sadeng. The data analysis used is descriptive analysis. The results of the study stated that the level of compliance of fishing vessels in Coastal Fishing Port Sadeng to the ownership of SIUP licensing documents was 97.14% (very good), SIPI 51.43% (very poor), SLO 48.57% (very poor), and SPB 31.43 % (very less). Licensing documents that are not owned or have expired and the incompatibility of documents with the physical ship are problems that cause the level of compliance of fishing business actors at Coastal Fishing Port Sadeng to be considered very low. Keywords: Compliance level, fishing business actors, problems, PPP Sadeng, regulations
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Legros Georges, Danielle. "Fishing." Radical Teacher 101 (February 23, 2015): 72–73. http://dx.doi.org/10.5195/rt.2015.201.

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Penney, Oliver. "Fishing." British Journal of General Practice 66, no. 646 (April 28, 2016): 238.2–238. http://dx.doi.org/10.3399/bjgp16x684937.

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Ansel, Talvikki. "Fishing." Iowa Review 23, no. 3 (October 1993): 69–70. http://dx.doi.org/10.17077/0021-065x.4318.

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ROBINSON, MICHAEL. "Fishing." Critical Quarterly 30, no. 1 (March 1988): 102–6. http://dx.doi.org/10.1111/j.1467-8705.1988.tb00289.x.

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Tsang, Eric W. K. "Fishing." Management and Organization Review 10, no. 3 (November 2014): 336. http://dx.doi.org/10.1111/more.12076.

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Tsang, Eric W. K. "Fishing." Management and Organization Review 10, no. 03 (November 2014): 336. http://dx.doi.org/10.1017/s1740877600004265.

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Fredericksen, Erik. "Fishing." Prairie Schooner 87, no. 4 (2013): 151–56. http://dx.doi.org/10.1353/psg.2013.0146.

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Babior, Bernard M. "Fishing." Current Opinion in Hematology 7, no. 1 (January 2000): 1. http://dx.doi.org/10.1097/00062752-200001000-00001.

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Dissertations / Theses on the topic "Fishing"

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Larsson, Joel, and David Forsberg. "Submarine Fishing Assistant." Thesis, Uppsala universitet, Institutionen för teknikvetenskaper, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-352842.

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Humanity has been fishing for a long time, more specifically underice with nets, this could be a lot more efficient if it could beautomated in any stage of the procedure. The project aim is toconstruct an automated system for assisting in net fishing under ice.A navigation system using a GPS module, an IMU and radio transceiverwas designed, constructed and implemented on a car for testing. Theresult was a system that could navigate to either a predeterminedpoint or return to a point saved by the system. A "manual mode" wasalso implemented to be able to operate the system as a remotecontrolled car with a computer coupled to an Arduino with a radiotransceiver sending control signals to the prototype. The prototypeworked as intended, but would need further improvements to theautomated navigation system's precision to be ready for commercialuse. This should be the primary focus of any further development ofthis project.
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Yoder, Tyler R. "Fishing for Fish and Fishing for Men: Fishing Imagery in the Hebrew Bible and the Ancient Near East." The Ohio State University, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=osu1429659752.

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Hill, Karen. "Investigation into surveying recreational fishing activity in South Australia /." Title page, contents and abstract only, 1987. http://web4.library.adelaide.edu.au/theses/09SM/09smh646.pdf.

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Castro, Fabio de. "Fishing accords the political ecology of fishing intensification in the Amazon /." online access from Digital Dissertation Consortium access full-text, 2000. http://libweb.cityu.edu.hk/cgi-bin/er/db/ddcdiss.pl?9966044.

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Burchill, Carolyn. "Fishing for souls : faith and community in a Moray fishing village." Thesis, University of Aberdeen, 2008. http://digitool.abdn.ac.uk/R?func=search-advanced-go&find_code1=WSN&request1=AAIU503950.

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This thesis presents an ethnographic study of religion and community in Gamrie, a fishing village in North East Scotland. It is based on fieldwork consisting of extended, unstructured interviews with supplementary material from written sources including books, press reports and internet sites. It addresses both the continued success of the church in the current climate of religious decline and the conditions which led to the formation of a fundamentalist Northern Ireland church in the village. My contention is that the persistence of religion is directly related both to the type of religion and the nature of the community. I maintain that the churches are successful because they adopt a strong theological stance, through which they resist the advance of secularism. Further, I argue that in this community, religion plays a role in the construction of social identity. The first part of the thesis provides an historical account of religion in Gamrie. Subsequently, I examine the main events in Scottish church history which have had a bearing on religion in the village along with a history of the churches currently in existence, before looking at the churches today. Finally, I discuss theories of religion and community and propose a theoretical framework within which the questions posed in this thesis may be answered. My discussion deals principally with secularization theories which argue that religion is incompatible with modern society and analyses the features of Protestantism which render it prone to schism. Later, I examine theories of social identity and community, focusing on the relationship between boundary maintenance and the construction of social identity and distinguishing between the concept of tradition and the process of social change. I contend that evangelical churches constitute an "imagined" community of interest, which provided networks that facilitated the affiliation of a religious group in Gamrie with a Northern Ireland Church.
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GALDELLI, ALESSANDRO. "Applied Artificial Intelligence for Precision Fishing: identification and classification of fishing activities." Doctoral thesis, Università Politecnica delle Marche, 2021. http://hdl.handle.net/11566/289710.

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Il costante incremento delle attività di pesca e del traffico marittimo in generale hanno reso il monitoraggio e la classificazione delle attività delle navi una sfida aperta nello scenario marino. Il continuo sfruttamento delle risorse ittiche ha ridotto drasticamente l’abbondanza di queste risorse con conseguenze negative sullo stesso settore della pesca. Nel corso degli anni sono stati introdotti degli strumenti che inizialmente però erano impiegati solamente per migliorare la sicurezza del traffico marittimo. La necessità di risolvere il problema del monitoraggio e della classificazione delle attività delle navi nella nuova era dell’Intelligenza Artificiale (IA) ha portato allo sviluppo e all’applicazione di nuovi metodi nel campo del Machine Learning (ML). In particolare, l’applicazione della IA in questo contesto definisce un nuovo concetto che prende il nome di Precision Fishing. Il lavoro svolto in questa tesi è stato sviluppato in collaborazione con l’Istituto per le Risorse Biologiche e le Biotecnologie Marine del CNR (CNR-IRBIM). L’obiettivo della tesi è incrementare il controllo delle attività di pesca analizzando dati provenienti dal Sistema di Identificazione Automatica (AIS) ed integrandoli ad esempio con le immagini satellitari “Synthetic Aperture RADAR” (SAR). Gli obiettivi della presente tesi hanno riguardato (i) l’identificazione e (ii) la classificazione delle attività di pesca e (iii) l’individuazione delle attività illegali, non dichiarate e non regolamentate (INN), mediante approcci di Intelligenza Artificiale. Nel primo tema di ricerca si presenta un algoritmo in grado di individuare ogni singola sessione di pesca, ossia tutto ciò che accade da quando la nave lascia il porto di partenza fino al porto di destinazione. Per ottenere questo risultato, la prima operazione svolta è quella del filtraggio degli outliers (dati AIS anomali o errati), che è stato ottenuto grazie ad un processo di interpolazione. L’algoritmo sviluppato utilizza un insieme di regole per identificare ciascuna sessione di pesca. Un altro aspetto innovativo dell’algoritmo rispetto allo stato dell’arte è quello di ricostruire sessioni di pesca incomplete, ossia quando quest’ultime non hanno una distribuzione temporalmente uniforme dei dati AIS. L’affidabilità del metodo proposto è stata valutata su un dataset validato da esperti nel settore, ed i risultati ottenuti hanno dimostrato che l’efficacia del metodo è superiore rispetto allo stato dell’arte. Nella seconda tematica si propone una serie di algoritmi basati sulle tecnologie dell’IA al fine di classificare le attività di pesca. In dettaglio vengono realizzati diversi algoritmi di classificazione utilizzando diverse tecniche di Machine Learning e di Deep Learning. L’innovazione apportata allo stato dell’arte rispetto agli obiettivi sopra riportati è nello sviluppo di algoritmi basati su IA che automatizzano processi di analisi dati per supportare decision maker nell’ambito della Precision Fishing. L’affidabilità dei metodi proposti è stata indagata utilizzando dataset validati da esperti nel settore e dallo studio dei comportamenti delle navi su diversi anni. I risultati ottenuti sono superiori allo stato dell’arte e questo fa si che alcuni algoritmi proposti si candidano ad essere considerati come gold standard. Nel terzo tema di ricerca si presenta un algoritmo per l’identificazione delle attività di pesca INN. In questo caso l’utilizzo del solo sistema AIS è insufficiente perché nella maggior parte dei casi, quando la nave è impegnata in questo tipo di attività, i sistemi di bordo vengono spenti in modo da non poter essere rintracciati. La soluzione proposta è quella di integrare i dati AIS con le immagini satellitari SAR in modo da ricostruire l’informazione mancante, e grazie all’algoritmo di classificazione delle attività di pesca, vengono rilevate tutte quelle che sono ritenute sospette. Il metodo proposto è stato validato da esperti nel settore e dall’analisi dei registri di bordo integrando la conoscenza dei sistemi di pesca.
The constant increasing of fishing activities and marine traffic have made the monitoring and the classification of the ships activities an open challenge in marine scenario. Continued exploitation of fish resources has drastically reduced the abundance of these resources, with negative consequences on the fisheries sector itself. Over the years, some tools have been introduced, but initially they were only used to improve the safety of maritime traffic. The necessity of solving the problem of the monitoring and the classification of the ships activities in the new era of Artificial Intelligence (AI) leads to the development and to the implementation of new methods in Machine Learning (ML). In particular, the application of AI in this context defines a new concept called Precision Fishing. The work of this thesis has been developed in collaboration with “Istituto per le Risorse Biologiche e le Biotecnologie Marine” of the CNR (CNR-IRBIM). The aim of this research is to increase fisheries control by analysing Automatic Identification System (AIS) data and integrating them with additional data such as “Synthetic Aperture RADAR” (SAR) images. The objectives of this thesis regarded (i) the identification and (ii) the classification of fishing activities; (iii) the identification of illegal, unreported and unregulated (IUU) fishing activities through AI approaches. In the first topic, it is described an algorithm able to identify every single fishing session, meaning everything that happens from when the ship leaves the port of departure to the port of destination. In order to obtain this result, the first operation carried out is the filtering of outliers (on-land or erroneous AIS data), which has been achieved through a process of interpolation. The algorithm developed uses a rule set to identify each fishing session. Another innovative aspect of the algorithm compared to the state of the art is that it reconstructs incomplete fishing sessions, meaning those that do not have a temporally uniform distribution of AIS data. The reliability of the proposed method was evaluated on a dataset validated by experts in the field, and the results obtained showed that the effectiveness of the method outperformed the state of the art. In the second research topic, it is proposed a set of algorithms based on AI technologies in order to classify fishing activities. In detail, several classification algorithms are implemented using different Machine Learning and Deep Learning techniques. The innovation of this thesis over the state of the art is the design and the development of AI algorithms to support decision makers in the Precision Fishing field using AIS and satellite data. The reliability of the proposed methods was investigated using datasets validated by experts in the field and by studying the behaviour of ships over the years. The results obtained are better than the state of the art and this makes some of the proposed algorithms candidates to be considered as gold standard. In the third topic, it is presented an algorithm for the identification of IUU fishing activities. In this case the use of the AIS system alone is insufficient because in most cases, when the ship is engaged in this type of activity, the on-board systems are switched off so that the vessel cannot be located. The solution proposed is to integrate AIS data with SAR satellite images in order to recover the missing information, and thanks to the classification of fishing activities algorithm all those that are considered suspicious are detected. The proposed method has been validated by experts in the field and by the analysis of logbooks integrating knowledge of fishing systems.
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Pickard, Catriona. "Fishing in Mesolithic Europe." Thesis, University of Edinburgh, 2002. http://hdl.handle.net/1842/25081.

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Although there is growing evidence for the importance of fishing to Mesolithic peoples, many questions concerning fishing methods and extent of exploitation of aquatic resources remain unresolved. This is the first study for five decades to draw together various strands of contemporary knowledge in order to provide an overview of fishing during the Mesolithic period in Europe. Utilisation of fish as a resource is discussed on the basis of the evidence provided by site location, dietary reconstruction from faunal remains, the nutritional value of fish and the chemical analysis of human and animal bone. The fishing practices of European Mesolithic populations are reconstructed from the evidence provided by artefactual and faunal remains. Temporal and spatial variations in fishing activities are assessed. Methods of fish capture are determined in several ways; by examination of the range of fishing gear attested in the archaeological record, by comparison with modes of operating this gear in traditional and modern fisheries, by an investigation of the biology and behaviour of the fish species recovered and, lastly, through statistical assessment of the co-occurrence of fishing gear and fish fauna in archaeological contexts. This is supplemented by information drawn from ethnographic analogues. It is inferred from these studies that Mesolithic fishermen had a sophisticated understanding of the use and manufacture of employed technologies, fish biology and behaviour and the impact of hydrological conditions on fishing practice.
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Ho, Ka-yi Karen, and 何嘉怡. "Transformation of fishing village." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1996. http://hub.hku.hk/bib/B31982827.

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Ho, Ka-yi Karen. "Transformation of fishing village." Hong Kong : University of Hong Kong, 1996. http://sunzi.lib.hku.hk/hkuto/record.jsp?B25946353.

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OÌ„ta, Yoshitaka. "Custom and fishing : cultural meanings and social relations of Pacific fishing, Palau, Micronesia." Thesis, University College London (University of London), 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.433010.

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Books on the topic "Fishing"

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Water, Anglian. Fishing: Fly Fishing for Trout and Coarse Fishing. [s.l.]: Anglian Water, 1993.

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Paul, Mason. Fishing. South Yarra, Vic: Macmillan Library, 2007.

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Zobel, Derek. Fishing. Minneapolis, MN: Bellwether Media, 2011.

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Whieldon, Tony. Fishing. New York: Random House, 1994.

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Love, Ann. Fishing. Toronto: Kids Can Press, 1997.

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Bailey, Donna. Fishing. Austin, Tex: Steck-Vaughn Library, 1991.

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Chamberlain, A. I. Fishing. Suva, Fiji Islands: University of the South Pacific, 2001.

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Ford, Martin. Fishing. London: Wayland, 2009.

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Engel, Diana. Fishing. New York: Macmillan Pub. Co., 1993.

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Coxley, Jane. Fishing. Aylesbury: Ginn, 1995.

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Book chapters on the topic "Fishing"

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"AUTHOR’S NOTE." In Fishing, xv—xviii. Yale University Press, 2019. http://dx.doi.org/10.12987/9780300231885-002.

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"20. The Beef of the Sea." In Fishing, 257–69. Yale University Press, 2019. http://dx.doi.org/10.12987/9780300231885-025.

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"PREFACE." In Fishing, ix—xiv. Yale University Press, 2019. http://dx.doi.org/10.12987/9780300231885-001.

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"13. Fishing the Middle Sea." In Fishing, 160–71. Yale University Press, 2019. http://dx.doi.org/10.12987/9780300231885-017.

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"15. The Fish Eaters." In Fishing, 184–95. Yale University Press, 2019. http://dx.doi.org/10.12987/9780300231885-019.

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"1. Bountiful Waters." In Fishing, 1–14. Yale University Press, 2019. http://dx.doi.org/10.12987/9780300231885-003.

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"4. Shellfish Eaters." In Fishing, 45–53. Yale University Press, 2019. http://dx.doi.org/10.12987/9780300231885-007.

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"Index." In Fishing, 333–46. Yale University Press, 2019. http://dx.doi.org/10.12987/9780300231885-032.

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"12. Rations for Pharaohs." In Fishing, 147–59. Yale University Press, 2019. http://dx.doi.org/10.12987/9780300231885-016.

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"16. The Erythraean Sea." In Fishing, 196–208. Yale University Press, 2019. http://dx.doi.org/10.12987/9780300231885-020.

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Conference papers on the topic "Fishing"

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Allan, Robert G. "Cap Rouge II: Lessons Learned From A Fishing Vessel Tragedy." In Fishing Vessels, Fishing Technology & Fisheries. RINA, 2005. http://dx.doi.org/10.3940/rina.fiso.2005.4.

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Benham, Ian. "Safety In The Fishing Industry – The RNLI’s Role." In Fishing Vessels, Fishing Technology & Fisheries. RINA, 2005. http://dx.doi.org/10.3940/rina.fiso.2005.1.

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Scott, Catherine, Odette Paramor, and Chris Frid. "Ecosystem Based Fisheries Management: A New Way of Delivering Sustainability." In Fishing Vessels, Fishing Technology & Fisheries. RINA, 2005. http://dx.doi.org/10.3940/rina.fiso.2005.14.

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Williams, Richard, and Dave Fenner. "Working With The Fishing Industry To Develop Appropriate Safety Standards." In Fishing Vessels, Fishing Technology & Fisheries. RINA, 2005. http://dx.doi.org/10.3940/rina.fiso.2005.2.

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Oliveira, A., N. Fonseca, and C. Guedes Soares. "Design of A Modern Purse Seiner Fishing Vessel For The Portuguese Coastal Sea." In Fishing Vessels, Fishing Technology & Fisheries. RINA, 2005. http://dx.doi.org/10.3940/rina.fiso.2005.11.

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van Beek, Teus, and Stephen van der Steenhoven. "Selection and Optimisation of The Propulsion Train of Fishing Vessels." In Fishing Vessels, Fishing Technology & Fisheries. RINA, 2005. http://dx.doi.org/10.3940/rina.fiso.2005.12.

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Olive, Peter J. "The Role of Sustainable Aquaculture As A Supplement To Ecosystem Fisheries Management." In Fishing Vessels, Fishing Technology & Fisheries. RINA, 2005. http://dx.doi.org/10.3940/rina.fiso.2005.16.

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Stead, Selina. "Three’s A Crowd: Fishermen, Government and Scientists." In Fishing Vessels, Fishing Technology & Fisheries. RINA, 2005. http://dx.doi.org/10.3940/rina.fiso.2005.13.

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Deakin, Barry. "Development of Simplified Stability and Loading Information For Fishermen." In Fishing Vessels, Fishing Technology & Fisheries. RINA, 2005. http://dx.doi.org/10.3940/rina.fiso.2005.5.

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Kwon, Young Sub, and Joby C. Anthony. "Assessment of Fishing Vessel Collisions: A Cultural Perspective." In Fishing Vessels, Fishing Technology & Fisheries. RINA, 2005. http://dx.doi.org/10.3940/rina.fiso.2005.8.

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Reports on the topic "Fishing"

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Aparisi Romero, Frederic. Fishing in medieval Valencia. Edicions de la Universitat de Lleida, 2021. http://dx.doi.org/10.21001/itma.2021.15.07.

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Goldie, James, ed. Interactive: Global fishing hotspots. Monash University, June 2022. http://dx.doi.org/10.54377/579c-f057.

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Stafford, Rick. The misnomer of sustainable fishing. Edited by S. Vicknesan. Monash University, June 2022. http://dx.doi.org/10.54377/a40f-42d0.

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Nawawi, Nawawi. Fishing for the demographic dividend. Edited by Ria Ernunsari and Sara Phillips. Monash University, November 2022. http://dx.doi.org/10.54377/7b4a-42b2.

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Michael, Maria. Who is fishing and how?: The case study of fishing communities in Cyprus through time. Honor Frost Foundation, 2020. http://dx.doi.org/10.33583/mags2019.05.

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Baker, T., and G. Haight. Tips for Managing Yearly Fishing Income. Alaska Sea Grant, University of Alaska Fairbanks, 2010. http://dx.doi.org/10.4027/tmyfi.2010.

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Machiels, Marcel. Fishing activity near offshore pipelines, 2017. IJmuiden: Wageningen Marine Research, 2018. http://dx.doi.org/10.18174/443945.

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Hintzen, Niels. Fishing activity near Wintershall offshore pipelines. IJmuiden: Wageningen Marine Research, 2019. http://dx.doi.org/10.18174/496892.

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Mit, Mom. Hun Manet fishing for increased FDI. East Asia Forum, June 2024. http://dx.doi.org/10.59425/eabc.1719612000.

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Johnson, T. Fuel-Saving Measures for Fishing Industry Vessels. Alaska Sea Grant, University of Alaska Fairbanks, 2011. http://dx.doi.org/10.4027/fsmfiv.2011.

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