Relevant bibliographies by topics / Automation of aquaculture systems

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Automation of aquaculture systems'

Author: Grafiati
Published: 4 June 2021
Last updated: 2 February 2022

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Journal articles on the topic "Automation of aquaculture systems"

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Gustilo, Reggie C., and Elmer P. Dadios. "Behavioural Response Analysis Using Vision Engineering (BRAVENet)." Journal of Advanced Computational Intelligence and Intelligent Informatics 21, no. 2 (2017): 211–20. http://dx.doi.org/10.20965/jaciii.2017.p0211.

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A new engineering methodology is proposed to improve the automation process in monitoring the water quality in a small scale aquaculture system. Behavioural Response Analysis using Vision Engineering Network or BRAVENet is proposed, as a support system to a traditional sensor-based system, to monitor critical water quality parameters such as temperature, pH, salinity and dissolved oxygen. BRAVENet is based on the reactions or behavioural responses of tiger prawns to different water conditions. The performance of both the sensor-based system and BRAVENet are analysed and discussed. It is shown
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Scattini, Noel, and Stanislaw Paul MAJ. "Aquaponic Integration and Automation – A Critical Evaluation." Modern Applied Science 11, no. 9 (2017): 165. http://dx.doi.org/10.5539/mas.v11n9p165.

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Aquaponics is technology developed from the aquaculture industry that integrates intensive farming of fish and utilizes plants (integrates hydroponics) in a continuous closed loop to clean the water for the fish. The plants clean the water of nitrate (waste form is initially ammonia) which has been converted into a form that is not toxic to fish by bacteria and is accessible to plants. Hydroponics technology is a technique used to grow plants and vegetables that does not incorporate soil, but nutrients that are dissolved in water and plants are either floated or treated with a nutrient film de
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Martinez-de Dios, J. R., C. Serna, and A. Ollero. "Computer vision and robotics techniques in fish farms." Robotica 21, no. 3 (2003): 233–43. http://dx.doi.org/10.1017/s0263574702004733.

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This paper presents new low-cost systems for the automation of some fish farm operations. Particularly, computer vision is applied to non-contact fish weight estimation. Stereo vision systems with synchronised convergent cameras are employed to perform fish 3-D segmentation in tanks and sea cages. Several pre-processing algorithms are applied to compensate for illumination local variations. The approach applied for fish 3-D segmentation consists in detecting in both images certain fish features. Once these points have been detected and validated in both images, the fish are 3-D segmented by ap
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Shafait, Faisal, Euan S. Harvey, Mark R. Shortis, et al. "Towards automating underwater measurement of fish length: a comparison of semi-automatic and manual stereo–video measurements." ICES Journal of Marine Science 74, no. 6 (2017): 1690–701. http://dx.doi.org/10.1093/icesjms/fsx007.

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Abstract Underwater stereo–video systems are widely used for counting and measuring fish in aquaculture, fisheries, and conservation management. Length measurements are generated from stereo–video recordings by a software operator using a mouse to locate the head and tail of a fish in synchronized pairs of images. This data can be used to compare spatial and temporal changes in the mean length and biomass or frequency distributions of populations of fishes. Since the early 1990s stereo–video has also been used for measuring the lengths of fish in aquaculture for quota and farm management. Howe
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Volvenko, Igor V. "Regional Data Center (RDC) of FSUE «TINRO-centre»: its role in prediction of resource state for national fisheries and principal directions of activities." Izvestiya TINRO 176, no. 1 (2014): 3–15. http://dx.doi.org/10.26428/1606-9919-2014-176-3-15.

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Regional Data Center (RDC) is 40 years old in 2014. Its main goals are accumulation of research data on Far-Eastern marine biological resources and their environments, as well as supervision for the data collection, validation and processing. Principal activities of RDC are: 1) development and implementation of computerize workplaces for scientific and technical personnel aboard research vessels and ashore; 2) logging of primary cruise materials on paper and their digitizing; 3) development and management of large databases (DB) for the information gathered in research cruises and fishery stat
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Huu, Phat Nguyen, and Hoan Nguyen Duc. "Propose an Automatic Ammonia Concentration of Water Measuring System Combining Image Processing for Aquaculture." Journal Européen des Systèmes Automatisés 54, no. 3 (2021): 453–60. http://dx.doi.org/10.18280/jesa.540308.

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The underwater environmental monitoring system applying IoT is now developing for 4.0 industry. It helps not only to simplify work but also to increase efficiency and reduce costs and execution time as well as ensure health to avoid contact with toxic solutions. In this paper, we first model the process of measuring NH3 concentration manually to automate. Secondly, the proposed model is combined with the process of processing output image automatically and displaying the results on the server. Thirdly, the system is able to measure the concentration by VNC viewer connecting with Raspberry pi4 v
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Wang, Guangxu, Akhter Muhammad, Chang Liu, Ling Du, and Daoliang Li. "Automatic Recognition of Fish Behavior with a Fusion of RGB and Optical Flow Data Based on Deep Learning." Animals 11, no. 10 (2021): 2774. http://dx.doi.org/10.3390/ani11102774.

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The rapid and precise recognition of fish behavior is critical in perceiving health and welfare by allowing farmers to make informed management decisions on recirculating aquaculture systems while reducing labor. The conventional recognition methods are to obtain movement information by implanting sensors on the skin or in the body of the fish, which can affect the normal behavior and welfare of the fish. We present a novel nondestructive method with spatiotemporal and motion information based on deep learning for real-time recognition of fish schools’ behavior. In this work, a dual-stream 3D
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Zhang, Song, Xinting Yang, Yizhong Wang, et al. "Automatic Fish Population Counting by Machine Vision and a Hybrid Deep Neural Network Model." Animals 10, no. 2 (2020): 364. http://dx.doi.org/10.3390/ani10020364.

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In intensive aquaculture, the number of fish in a shoal can provide valuable input for the development of intelligent production management systems. However, the traditional artificial sampling method is not only time consuming and laborious, but also may put pressure on the fish. To solve the above problems, this paper proposes an automatic fish counting method based on a hybrid neural network model to realize the real-time, accurate, objective, and lossless counting of fish population in far offshore salmon mariculture. A multi-column convolution neural network (MCNN) is used as the front en
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Radford, C., and M. Slater. "Soundscapes in aquaculture systems." Aquaculture Environment Interactions 11 (February 21, 2019): 53–62. http://dx.doi.org/10.3354/aei00293.

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Piedrahita, Raul H. "Detritus‐based aquaculture systems." Food Reviews International 6, no. 3 (1990): 317–31. http://dx.doi.org/10.1080/87559129009540875.

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Dissertations / Theses on the topic "Automation of aquaculture systems"

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Erzini, Gabriel de Castro. "Automatic control of an aquaculture system." Master's thesis, Universidade de Aveiro, 2016. http://hdl.handle.net/10773/16545.

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Mestrado em Engenharia Mecânica<br>This thesis covers the automated aquaculture scenario around the world and speci cally Portugal. With research done, a case study and laboratory work, the goal is to create a reliable remote control system capable of not only controlling the physical variables within an aquaculture system but monitor and rectify unwanted situations.<br>Esta tese trata-se de aquacultura pelo mundo e Portugal especi camente. Com uma pesquisa feita, um "case study" e trabalho laboratorial, o objetivo é criar um sistema de controlo remoto capaz de controlar as variáveis fís
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Dunn, Zelda. "Improved feed utilisation in cage aquaculture by use of machine vision." Thesis, Stellenbosch : Stellenbosch University, 2008. http://hdl.handle.net/10019.1/2824.

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Thesis (MScEng (Process Engineering))--Stellenbosch University, 2008.<br>With the harvesting of fish and other aquatic organisms from natural waters having reached its upper limit, aquaculture is vital in providing for the ever increasing demand for fishery products (Boyd, 1999). Not surprisingly, aquaculture has seen considerable growth over the last decade or more. With the rising importance of aquaculture, there is an increased emphasis on cost and reducing of waste for environmental reasons. Therefore, attempts to automate or increase efficiency of feeding are constantly being expl
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Zhao, Yanlai. "Integrated systems analysis for coastal aquaculture." Thesis, University of Ottawa (Canada), 2004. http://hdl.handle.net/10393/26824.

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This paper presents a model for the evaluation of coastal zone sites in conjunction with supporting decision making on the use of potential sites for aquaculture as well as other site activities including commercial fisheries, and as reserves for natural resources. The decision support model captures site specific data in the form of a geographical information system that overlays selected geographical regions with natural resource dynamics, habitat, commercial activities including aquaculture, and influence plumes including toxicology. Descriptive data for selected regions including system ov
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Robinson, Georgina. "Microbial-deposit feeder aquaculture bioremediation systems." Thesis, University of Newcastle upon Tyne, 2017. http://hdl.handle.net/10443/3706.

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Trelinski, Michael. "Heijunka Automation." Digital Commons at Loyola Marymount University and Loyola Law School, 2016. https://digitalcommons.lmu.edu/etd/434.

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Gonzalez-Alanis, Pablo. "The Inactivation of Pathogens in Aquaculture Systems." Diss., The University of Arizona, 2007. http://hdl.handle.net/10150/195899.

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As aquaculture has become a significant provider of the human diet, the interest to have better quality of sea and fresh products has been increasing. However the potential hazards associated with pathogenic agents resulting in losses to the industry are major concerns that provided the motivation for this study.The use of ultraviolet irradiation is an alternative to disinfect water in inlet and outlet water sources. However the ultraviolet disinfection method has some drawbacks including no disinfectant residuals and high cost of lamp fouling and replacement. The ultraviolet system needs t
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Tollervey, Alan. "Algal nutrient uptake in recirculating aquaculture systems." Thesis, Heriot-Watt University, 1985. http://hdl.handle.net/10399/1651.

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Granlund, Anna. "Competitive Internal Logistics Systems through Automation." Licentiate thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-12246.

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The growing demand for products and services puts great pressure on logistics performance and enhances the role that logistics plays in determining a company’s competitiveness. This research focuses on internal logistics systems, which includes all logistics activities and processes within the physical limits of an isolated company. Internal logistics is vital for the overall function of many companies. However, despite its importance, this part of logistics has traditionally not been viewed or developed in a strategic way. Since internal logistics activities are often characterized by a high
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FILHO, ANCHIZES DO EGITO LOPES GOLCAVES. "OBJECT RECOGNITION SYSTEMS FOR INDUSTRIAL AUTOMATION." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 1996. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=19756@1.

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COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR<br>A área de reconhecimento de imagens é essencial em Sistemas de Automáticos Industriais para a manipulação de peças sem a interferência humana. São apresentadas, neste trabalho, diversas características para reconhecimento de perfis bidimensionais, e selecionadas aquelas que são variantes com a posição. Esta seleção evita o alto custo computacional devido à variação do posicionamento das peças numa esteira rolante. As características selecionadas das imagens digitais de objetos são os monumentos invariantes. A partir destes momento
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Bartelme, Ryan P. "Cultivating Ecosystems| Microbial Communities in Recirculating Aquaculture Systems." Thesis, The University of Wisconsin - Milwaukee, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10843723.

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<p> Intensive cultivation of fish is necessary to meet future global market demands. Recirculating aquaculture systems (RAS) enable dense growth of fish, while occupying less space than traditional aquaculture farms. However, RAS often experience complications and high fish mortalities due to disease and improper waste management. In properly functioning systems, the microorganisms associated with fish (gut, scales) as well as those found in the system environment (water, component surfaces) remove waste and maintain fish health by discouraging growth of opportunistic pathogens. Previous RAS m
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Books on the topic "Automation of aquaculture systems"

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Tidwell, James H., ed. Aquaculture Production Systems. Wiley-Blackwell, 2012. http://dx.doi.org/10.1002/9781118250105.

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Camarinha-Matos, Luis, and Hamideh Afsarmanesh, eds. Balanced Automation Systems. Springer US, 1995. http://dx.doi.org/10.1007/978-0-387-34910-7.

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Padilla, Evelio. Substation Automation Systems. John Wiley & Sons, Ltd, 2015. http://dx.doi.org/10.1002/9781118987216.

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Cuenco, Michael L. Aquaculture systems modeling: An introduction with emphasis on warmwater aquaculture. International Center for Living Aquatic Resources Management, 1989.

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Collaborative process automation systems. ISA, 2010.

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Camarinha-Matos, Luis M., and Hamideh Afsarmanesh, eds. Balanced Automation Systems II. Springer US, 1996. http://dx.doi.org/10.1007/978-0-387-35065-3.

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Hollender, Martin. Collaborative process automation systems. ISA, 2010.

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Lord, Kenniston W. Office automation systems handbook. TAB Professional and Reference Books, 1988.

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Hollender, Martin. Collaborative process automation systems. ISA, 2010.

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Mazzaccaro, Tony. Aquaculture production systems: Earthen ponds 1979-1987 : 172 citations. U.S. Dept. of Agriculture, National Agricultural Library, 1988.

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Book chapters on the topic "Automation of aquaculture systems"

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Nie, Pengcheng, Yong He, Fei Liu, Chunxiao Mi, and Chengyong Cai. "Livestock and Aquaculture IoT Systems." In Agriculture Automation and Control. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-65702-4_12.

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Huang, Jiayi, Xiangbao Meng, Qiubo Xie, Wanyun Chen, and Shuyang Wang. "Complete Sets of Aquaculture Automation Equipment and Their Monitoring Cloud Platform." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-70990-1_63.

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Kumar, G. Hemanth, and D. R. Kumar Raja. "Automation of Aerators Based System on Water Quality Parameters in Aquaculture." In Lecture Notes in Electrical Engineering. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-1420-3_193.

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Palm, Harry W., Ulrich Knaus, Samuel Appelbaum, Sebastian M. Strauch, and Benz Kotzen. "Coupled Aquaponics Systems." In Aquaponics Food Production Systems. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-15943-6_7.

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AbstractCoupled aquaponics is the archetype form of aquaponics. The technical complexity increases with the scale of production and required water treatment, e.g. filtration, UV light for microbial control, automatic controlled feeding, computerization and biosecurity. Upscaling is realized through multiunit systems that allow staggered fish production, parallel cultivation of different plants and application of several hydroponic subsystems. The main task of coupled aquaponics is the purification of aquaculture process water through integration of plants which add economic benefits when selecting suitable species like herbs, medicinal plants or ornamentals. Thus, coupled aquaponics with closed water recirculation systems has a particular role to fulfil.Under fully closed recirculation of nutrient enriched water, the symbiotic community of fish, plants and bacteria can result in higher yields compared with stand-alone fish production and/or plant cultivation. Fish and plant choices are highly diverse and only limited by water quality parameters, strongly influenced by fish feed, the plant cultivation area and component ratios that are often not ideal. Carps, tilapia and catfish are most commonly used, though more sensitive fish species and crayfish have been applied. Polyponics and additional fertilizers are methods to improve plant quality in the case of growth deficiencies, boosting plant production and increasing total yield.The main advantages of coupled aquaponics are in the most efficient use of resources such as feed for nutrient input, phosphorous, water and energy as well as in an increase of fish welfare. The multivariate system design approach allows coupled aquaponics to be installed in all geographic regions, from the high latitudes to arid and desert regions, with specific adaptation to the local environmental conditions. This chapter provides an overview of the historical development, general system design, upscaling, saline and brackish water systems, fish and plant choices as well as management issues of coupled aquaponics especially in Europe.
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Nie, Pengcheng, Yong He, Fei Liu, and Hui Zhang. "Livestock and Aquaculture Information Sensing Technology." In Agriculture Automation and Control. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-65702-4_7.

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Rheault, Robert. "Shellfish Aquaculture." In Aquaculture Production Systems. Wiley-Blackwell, 2012. http://dx.doi.org/10.1002/9781118250105.ch5.

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Page, Stephen H. "Aquapod Systems aquaculture Aquapod systems for Sustainable Ocean Aquaculture Aquaculture." In Encyclopedia of Sustainability Science and Technology. Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4419-0851-3_187.

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Page, Stephen H. "Aquapod Systems aquaculture Aquapod systems for Sustainable Ocean Aquaculture Aquaculture." In Sustainable Food Production. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-5797-8_187.

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Ebeling, James M., and Michael B. Timmons. "Recirculating Aquaculture Systems." In Aquaculture Production Systems. Wiley-Blackwell, 2012. http://dx.doi.org/10.1002/9781118250105.ch11.

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Brune, D. E., Craig Tucker, Mike Massingill, and Jesse Chappell. "Partitioned Aquaculture Systems." In Aquaculture Production Systems. Wiley-Blackwell, 2012. http://dx.doi.org/10.1002/9781118250105.ch13.

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Conference papers on the topic "Automation of aquaculture systems"

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Teja, K. Bala Ravi, Mothika Monika, Chellu Chandravathi, and Prakash Kodali. "Smart Monitoring System for Pond Management and Automation in Aquaculture." In 2020 International Conference on Communication and Signal Processing (ICCSP). IEEE, 2020. http://dx.doi.org/10.1109/iccsp48568.2020.9182187.

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Minghu Wu, Xiangmei Zhang, and Tiezhou Wu. "Research on the aquaculture multi-parameter monitoring system." In 2010 2nd International Asia Conference on Informatics in Control, Automation and Robotics (CAR 2010). IEEE, 2010. http://dx.doi.org/10.1109/car.2010.5456773.

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Kumar, M. Arun, and G. Aravindh. "An Efficient Aquaculture Monitoring Automatic System for Real Time Applications." In 2020 3rd International Conference on Intelligent Sustainable Systems (ICISS). IEEE, 2020. http://dx.doi.org/10.1109/iciss49785.2020.9316072.

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Ma, Yinchi, and Wen Ding. "Design of Intelligent Monitoring System for Aquaculture Water Dissolved Oxygen." In 2018 IEEE 3rd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC). IEEE, 2018. http://dx.doi.org/10.1109/iaeac.2018.8577649.

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Utne, Ingrid Bouwer, Ingrid Schjølberg, Ingunn Marie Holmen, and Eirin Marie Skjøndal Bar. "Risk Management in Aquaculture: Integrating Sustainability Perspectives." In ASME 2017 36th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/omae2017-61845.

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The aquaculture industry in Norway produced 1.3 million metric tons of fish in 2014, and further expansion is expected if the main sustainability challenges related to production and operation are mitigated. Major biological, operational and environmental challenges are parasite infection, fish escape, fish health, human injuries and fatalities. The larger farms, exposed locations, and sustainability challenges related to more production of salmon increases the need for efficient decision support methods and risk management. The combined effect of the technological development, with increased
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Florestiyanto, Mangaras Yanu, Panji Dwi Ashrianto, Bambang Yuwono, and Hidayatulah Himawan. "Evaluation of Usage Behaviour of IOT-Based Aquaculture Technologies." In LPPM UPN "VETERAN" Yogyakarta International Conference Series 2020. RSF Press & RESEARCH SYNERGY FOUNDATION, 2020. http://dx.doi.org/10.31098/pss.v1i1.202.

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The production of aquaculture products still needs to be increased to match marine products. One of the problems that cause cultivation fishery production is not optimal is that it has not utilized modern technology. Cultivators still use traditional methods and technologies in cultivation. One of the contemporary technologies that can support aquaculture is Automation Technology and the Internet of Things (IoT). This research will develop an IoT-based technology, which is a system to help fish maintenance management. This system is based on a static robot that will monitor the condition of po
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Shuai, Chen, Zhong Ke, and Cai Yingling. "The Design and Application of the Water Temperature Control System for Large Aquaculture Pond." In 2011 International Conference on Measuring Technology and Mechatronics Automation (ICMTMA). IEEE, 2011. http://dx.doi.org/10.1109/icmtma.2011.756.

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Chen, Yujie, Peixue Liu, Feng Chen, and Qianqian He. "The Design of Sea Water Aquaculture Water Quality Monitoring System Based on Zigbee and Data Fusion." In 2015 5th International Conference on Computer Sciences and Automation Engineering (ICCSAE 2015). Atlantis Press, 2016. http://dx.doi.org/10.2991/iccsae-15.2016.18.

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Doğan, Çağdaş. "Seaweed Growth Detection in Aquaculture Environment Using Simple Linear Iterative Clustering Method." In The 8th International Conference of Biotechnology, Environment and Engineering Sciences. SRO media, 2020. http://dx.doi.org/10.46617/icbe8001.

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Estimating the total biomass of cultivates in aquaculture plantations (fisheries, mussel plants, seaweed farms and compound sites) remains to be an issue for the industry and the researchers alike. There has been a diverse array of approaches towards this issue, like using markers, manually stapling the leaflets, weighting the actual mass of the organism and calculating the total mass by extrapolation. Seaweed growth detection is a subset of this problem. Our goal is to introduce a solution by automatically detecting the ratio of the target object in images of seaweed taken from an underwater
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Kishore, K. Krishna, P. Vamsi Krishna, and D. Srikanth. "Automatic Feeding system for Aquaculture." In 2017 Third International Conference on Sensing, Signal Processing and Security (ICSSS). IEEE, 2017. http://dx.doi.org/10.1109/ssps.2017.8071633.

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Reports on the topic "Automation of aquaculture systems"

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Turner, Maria. Automation Activities and Major Systems,. Defense Technical Information Center, 1995. http://dx.doi.org/10.21236/ada296933.

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Caspi, Eylon. Design Automation for Streaming Systems. Defense Technical Information Center, 2005. http://dx.doi.org/10.21236/ada603902.

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Payne, Jerome F. Recapitalization of Tactical Computer Automation Systems. Defense Technical Information Center, 2002. http://dx.doi.org/10.21236/ada404333.

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Ellis, Brian J., and John A. Stankovic. Aspect Suite Automation for Embedded Mission Systems. Defense Technical Information Center, 2005. http://dx.doi.org/10.21236/ada435021.

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Kohn, W., J. B. Remmel, and A. Nerode. Automation Comparison Procedure for Verification of Hybrid Systems. Defense Technical Information Center, 1997. http://dx.doi.org/10.21236/ada344450.

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Brglez, Franc. National Benchmark Program in Microelectronic Systems Design Automation. Defense Technical Information Center, 1997. http://dx.doi.org/10.21236/ada344686.

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Rosenthal, Lynne S., Elizabeth G. Parker, Ted Landberg, and Shirley Ward Watkins. Guidance on requirements analysis for office automation systems. National Bureau of Standards, 1987. http://dx.doi.org/10.6028/nbs.sp.500-147.

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Mark J. Stunder, Perry Sebastian, Brenda A. Chube, and Michael D. Koontz. Integration of Real-Time Data Into Building Automation Systems. Office of Scientific and Technical Information (OSTI), 2003. http://dx.doi.org/10.2172/809900.

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Bambha, Neal, Vida Kianzad, Mukul Khandelia, and Shuvra S. Bhattacharyya. Intermediate Representations for Design Automation of Multiprocessor DSP Systems. Defense Technical Information Center, 2002. http://dx.doi.org/10.21236/ada456720.

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Hissam, Scott, John Hudak, James Ivers, Mark Klein, and Magnus Larsson. Predictable Assembly of Substation Automation Systems: An Experiment Report. Defense Technical Information Center, 2002. http://dx.doi.org/10.21236/ada411970.

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