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Time-series prediction of shellfish farm closure: A comparison of alternatives

Ashfaqur Rahman, Md Sumon Shahriar, Claire D'Este, Greg Smith, John McCulloch, Greg Timms
2014 Information Processing in Agriculture  
, Piecewise Aggregate Approximation, and Wavelet Transform) and learning algorithms (neural network, support vector machine, k-nearest neighbour, decision tree, and Bayesian Network) to predict closure  ...  We have proposed using the short term historical rainfall data as a time-series prediction problem where we aim to predict the closure of shellfish farms based only on rainfall.  ...  Given historical records of daily rainfall data and closure status of shellfish farms, the research presented in this paper aims to develop a supervised learning framework to predict closure of shellfish  ... 
doi:10.1016/j.inpa.2014.05.001 fatcat:yn245wmvmbcprcn75wpkh7av7m

Ensemble Classifiers and Their Applications: A Review

Akhlaqur Rahman, Sumaira Tasnim
2014 International Journal of Computer Trends and Technology  
In this paper we present a review of commonly used ensemble classifiers in the literature. Some ensemble classifiers are also developed targeting specific applications.  ...  Shellfish Farm Closure Prediction and Cause Identification Shellfish farms must be closed if there is suspected contamination during production to avoid serious health hazards.  ...  The authorities monitor a number of environmental and water quality variables through a set of sensors to check the health of shellfish farms and to decide on the closure of the farms.  ... 
doi:10.14445/22312803/ijctt-v10p107 fatcat:syanigmz4ndxtp5n7a7yaeq3l4

Current Status of Forecasting Toxic Harmful Algae for the North-East Atlantic Shellfish Aquaculture Industry

Jose A. Fernandes-Salvador, Keith Davidson, Marc Sourisseau, Marta Revilla, Wiebke Schmidt, Dave Clarke, Peter I. Miller, Paola Arce, Raúl Fernández, Luz Maman, Alexandra Silva, Callum Whyte (+6 others)
2021 Frontiers in Marine Science  
Proof-of-concept EWS are being developed to combine model information with in situ data, in some cases using machine learning-based approaches.  ...  For example, EWS are increasingly utilizing satellite data and the results of oceanographic modeling to identify and predict the behavior of HABs.  ...  for example using machine learning.  ... 
doi:10.3389/fmars.2021.666583 fatcat:jmhmz35gnraktohc2raohuvvwm

Comprehensive study on ensemble classification for medical applications

Rosaida Rosly, Mokhairi Makhtar, Mohd Khalid Awang, Mohd Isa Awang, Mohd Nordin Abdul Rahman, Hairulnizam Mahdin
2018 International Journal of Engineering & Technology  
Not only in medical areas, it can also help researchers to solve modem problems in many fields like machine learning, data mining and other related areas.  ...  Classification is a data mining technique that assigns categories to a collection of data to aide in more accurate predictions and analyses.  ...  Acknowledgement This work is partially supported by UniSZA and KPM (Grant No. FRGS/1/2016/ICT02/UNISZA/02/2).  ... 
doi:10.14419/ijet.v7i2.14.12822 fatcat:uat5nheqlzcnxnttzmfhupp53u

HABreports: Online Early Warning of Harmful Algal and Biotoxin Risk for the Scottish Shellfish and Finfish Aquaculture Industries

Keith Davidson, Callum Whyte, Dmitry Aleynik, Andrew Dale, Steven Gontarek, Andrey A. Kurekin, Sharon McNeill, Peter I. Miller, Marie Porter, Rachel Saxon, Sarah Swan
2021 Frontiers in Marine Science  
Expert interpretation of HAB, biotoxin and environmental data in light of recent and historical trends is used to provide, on a weekly basis, a forecast of the risk from HABs and their biotoxins to allow  ...  The system includes both map and time-series based visualization tools. A "traffic light" index approach is used to highlight locations at elevated HAB/biotoxin risk.  ...  It uses a machine learning approach to identify classification features from example satellite images of algal blooms, selected manually by browsing for matchups with historical records of HAB events.  ... 
doi:10.3389/fmars.2021.631732 fatcat:h2niljtsqvfjjgayhrwokb3kzi

Scaling Up From Regional Case Studies to a Global Harmful Algal Bloom Observing System

Clarissa R. Anderson, Elisa Berdalet, Raphael M. Kudela, Caroline K. Cusack, Joe Silke, Eleanor O'Rourke, Darcy Dugan, Molly McCammon, Jan A. Newton, Stephanie K. Moore, Kelli Paige, Steve Ruberg (+4 others)
2019 Frontiers in Marine Science  
to plan, adapt to a changing marine environment, and ensure coastal industries are supported and sustained in the years ahead; and (6) support implementation of the recent calls for action by the United  ...  knowledge and models with existing Earth System Modeling Frameworks to enhance end-to-end capabilities in forecasting and scenario-building; (5) provide seasonal to decadal forecasts to allow governments  ...  The video is then uploaded to a separate GCOOS portal, and deep learning software uses machine learning to automatically estimate a cell count from the video.  ... 
doi:10.3389/fmars.2019.00250 fatcat:sk5txlk2kfbjjayzukm3ticely

Performance of Storm Overflows Impacting on Shellfish Waters in England

Andrew Younger, Simon Kershaw, Carlos J. A. Campos
2022 Land  
Storm overflow (SO) discharges to shellfish growing waters are a concern for shellfish growers and may pose a health risk to consumers.  ...  We investigated the performance of permitted SOs with a shellfish water spill monitoring requirement against the design criterion of 10 spills per year (averaged over 10 years) used in England.  ...  Acknowledgments: We are grateful to the Environment Agency for providing information and comments on an earlier version of this paper.  ... 
doi:10.3390/land11091576 fatcat:rqds6qz7azhclbr6ox2jvebtca

Effects of Harmful Algal Blooms on Fish and Shellfish Species: A Case Study of New Zealand in a Changing Environment

Anne Rolton, Lesley Rhodes, Kate S. Hutson, Laura Biessy, Tony Bui, Lincoln MacKenzie, Jane E. Symonds, Kirsty F. Smith
2022 Toxins  
Blooms of Karenia spp. have frequently been associated with mortalities of both fish and shellfish in NZ and the sub-lethal effects of other genera, notably Alexandrium spp., on shellfish (which includes  ...  This review examines HAB species which are known to bloom both globally and in NZ and their effects on commercially important shellfish and fish species.  ...  This work was funded by the New Zealand Ministry of Business, Innovation and Employment CAWX1707, CAWX1606, and CAWX1801. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/toxins14050341 pmid:35622588 pmcid:PMC9147682 fatcat:5yhfp5emxrg3ljdjwq6db37w6y

CoastObs D3.8: Higher level products report

Steef Peters, Kathrin Poser, Annelies Hommersom, Lazaros Spaias, Yuting Lin, Anne-Laure Barillé, Nicolas Harin, Pierre Gernez, Laurent Barillé, Laura Zoffoli, Tony Van Der Hiele, Jasper Van Houcke (+2 others)
2020 Zenodo  
CH 8: Integration with modelling: harmful algae bloom forecasting Each chapter will present a rationale and background, the input data for the product generation, main methods used and examples of results  ...  CoastObs is an EU H2020 funded project that aims at using satellite remote sensing to monitor coastal water environments and to develop a user-relevant platform that can offer validated products to users  ...  Other authors have proposed the use of machine learning methods because of their capability to work with complex and non-linear data, including fuzzy logic (Blauw et al., 2006) , artificial neural networks  ... 
doi:10.5281/zenodo.4320496 fatcat:6kxt6p5gnfcxflwg4jcexpo7ua

Deep Multi-Classifier Learning for Medical Data Sets

Rosaida Rosly, Mokhairi Makhtar, Mohd Khalid Awang, Hasni Hassan, Ahmad Nazari Mohd Rose
2020 International Journal of Engineering Trends and Technoloy  
It showed that the proposed method are able to produce the highest prediction accuracy than single and combination of classifier that using majority voting for all these medical data sets.  ...  Then, a combination at classification level between these classifiers using deep learning approach was applied to get the highest accuracy and see which the most suitable Deep Multi-classifier Learning  ...  ACKNOWLEDGEMENT This research was supported by Research Management and Innovation Centre, Universiti Sultan Zainal Abidin.  ... 
doi:10.14445/22315381/cati1p201 fatcat:olx2t4yoonbptkxi7evvtzvygq

Novel Methodologies for Providing In Situ Data to HAB Early Warning Systems in the European Atlantic Area: The PRIMROSE Experience

Manuel Ruiz-Villarreal, Marc Sourisseau, Phil Anderson, Caroline Cusack, Patricia Neira, Joe Silke, Francisco Rodriguez, Begoña Ben-Gigirey, Callum Whyte, Solene Giraudeau-Potel, Loic Quemener, Gregg Arthur (+1 others)
2022 Frontiers in Marine Science  
Harmful algal blooms (HABs) cause harm to human health or hinder sustainable use of the marine environment in Blue Economy sectors.  ...  The European Union (EU) Interreg Atlantic Area project "PRIMROSE", Predicting Risk and Impact of Harmful Events on the Aquaculture Sector, was focused on the joint development of HAB early warning systems  ...  We also thank Marie Latimier and Julien Quere for their contributions to the Ifremer flow cytometer deployments and the data analyses.  ... 
doi:10.3389/fmars.2022.791329 fatcat:6mdshtxmajdijggw4vx7wrybse

A halo of reduced dinoflagellate abundances in and around eelgrass beds

Emily Jacobs-Palmer, Ramón Gallego, Ana Ramón-Laca, Emily Kunselman, Kelly Cribari, Micah Horwith, Ryan P. Kelly
2020 PeerJ  
implications for public health as well as shellfish aquaculture and harvesting.  ...  Here we use environmental DNA (eDNA) amplicons to analyze a broad cross-section of taxa from ecological communities in and immediately surrounding eelgrass (Zostera marina).  ...  the R stats package (R Core Team, 2016) with k = 2 to separate transects from all present dinoflagellate taxa into two groups, high-and low-abundance, using unsupervised machine learning (Fig.  ... 
doi:10.7717/peerj.8869 pmid:32292651 pmcid:PMC7147434 fatcat:6233fts5irasbna54bevvt735y

HABscope: A tool for use by citizen scientists to facilitate early warning of respiratory irritation caused by toxic blooms of Karenia brevis

D. Ransom Hardison, William C. Holland, Robert D. Currier, Barbara Kirkpatrick, Richard Stumpf, Tracy Fanara, Devin Burris, Andrew Reich, Gary J. Kirkpatrick, R. Wayne Litaker, Hans G. Dam
2019 PLoS ONE  
Brevetoxins produced during Karenia blooms can cause neurotoxic shellfish poisoning in humans, massive fish kills, and the death of marine mammals and birds.  ...  The HABscope system operates by capturing short videos of collected water samples and uploading them to a central server for rapid enumeration of K. brevis cells using calibrated recognition software.  ...  Thanks to the Mote Education Department, specifically Fitz Otis and Aly Busse, for organizing the volunteer network and citizen scientists.  ... 
doi:10.1371/journal.pone.0218489 pmid:31220134 pmcid:PMC6586399 fatcat:ndxblcnvgfe33htojt5otttwc4

ENVIROPORTS: Análisis y predicción de series temporales de parámetros ambientales y su interrelación con tráfico marítimo en entornos portuarios

Mª Ángeles García, Paula Gómez, Ivan Felis, Eduardo Madrid, Rosa Martínez
2021 Zenodo  
We exploit feature extraction methods to identify characteristics of both univariate and multivariate time series to predict closing or re-opening of shellfish farms.  ...  Towards this problem, a novel application of time series classification to predict shellfish farm closure for aquaculture decision support is investigated in this research.  ... 
doi:10.5281/zenodo.5776422 fatcat:pesxgujowfftrdfegvik26n2vi

Designing the Next Generation of Condition Tracking and Early Warning Systems for Shellfish Aquaculture

Jean-Marc Guarini, Shawn Hinz, Jennifer Coston-Guarini
2021 Journal of Marine Science and Engineering  
Practical implementations of biological-EWS at farming sites are then discussed.  ...  The diagnostic compares valve gape measurements and simulations.  ...  Acknowledgments: The authors would like to express their gratitude to Luc Comeau (Fisheries and Oceans Canada) for having shared his expertise about valvometry meaurement techniques.  ... 
doi:10.3390/jmse9101084 fatcat:zio54dg5m5aeveneh6uh3wkto4
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