Summarize developments and limitations of imaging systems for plankton monitoring.
Develop the recommendations and standardized protocols for comparing net-based and imaging systems.
Summarize imaging systems that are readily available for plankton monitoring and identify the taxa that could be effectively monitored by different systems.
Review available deployment platforms for different systems.
Make a list of experts on plankton imaging systems and plankton monitoring among PICES nations.
Preliminary review of the advantages and limitations of different imaging systems for plankton monitoring and identify data availability for a comparison study between net-based methods and one or two selected imaging systems.
Year 2 (2022)
WG meeting (Zoom meeting)
Revise schedules and discuss plans for terms of reference and deliverables.
Preliminary review of the results from the monitoring study using net-based methods and imaging systems.
Review available machine learning algorithms for plankton identification and enumeration.
Special session on plankton monitoring using imaging systems
Expand the list of experts on plankton imaging systems and plankton monitoring to ICES and other countries.
Further identify data availability for comparison between different imaging systems and nets.
Review the applications of imaging systems for plankton monitoring around the globe.
PICES symposium (during PICES annual meeting)
Overview plankton monitoring program around the PICES countries.
Overview machine learning for plankton identification and enumeration.
Develop protocols and standard libraries to test and compare the performance of different algorithms.
Expand the list of contact information on experts on plankton imaging, image processing, and plankton monitoring in PICES and ICES nations, and post the list on PICES website.
Review different machine learning algorithms for plankton identification and enumeration
Compare the performance of different algorithm using standard libraries.
Year 3 (2023)
WG meeting (just before or after PICES annual meeting)
Make a draft of PICES scientific report, including the following information on imaging systems for plankton monitoring.
Review of the limitations and advantages using imaging systems for plankton monitoring.
Review of potential deployment platforms for different imaging systems.
Review of available machine learning algorithms for plankton identification and enumeration.
Recommendations and standardized protocols for the deployment of imaging systems.
Recommendations and standardized libraries and protocols for comparing different machine learning algorithms for plankton identification and enumeration.
Sessions for PICES annual meeting
Integrate imaging systems into existing plankton monitoring programs.
Different platforms for monitoring plankton using imaging systems.
Standard protocol and library for comparing different plankton identification and enumeration procedures.
Submit, revise, and publish the review articles on monitoring plankton using imaging systems with results from case studies.
PICES scientific report
Submit a final scientific report to PICES.
Reports or peer-reviewed articles summarizing the advances and limitations of plankton imaging systems and machine learning algorithms for plankton identification and enumeration.
Guidelines on recommendations and procedures for monitoring plankton using imaging systems on PICES website.
Lists of contact information of experts on plankton imaging systems and plankton monitoring among PICES and ICES nations.
Standard libraries and protocols to test and compare different machine learning algorithms for plankton identification and enumeration.
A final report summarizing the results of the WG as a Scientific Report in PICES.
Exploring the potential of monitoring plankton using imaging systems such that scientists and managers can obtain in situ near-real time information.
Building a platform to facilitate the exchange of information and collaboration among scientists working on plankton monitoring programs and plankton imaging systems within ICES and PICES nations, as well as in developing countries.
Establishing standard libraries and protocols to test and compare different machine learning algorithms for plankton identification and enumeration.
Convening international symposiums, sessions, and workshops to explore the feasibility of monitoring plankton using imaging systems and applications of machine algorithms, in both ICES/PICES annual meetings and international conferences such as ASLO.
New Working Group 45 Membership (Canada)
Drs. Joseph Needoba and Akash Sastri are the new members of the WG-48 representing Canada.
12/16/2020 11:13:12 AM PST
New Working Group 48 Membership (Korea)
Prof. Wongyu Park is a newly appointed member of the WG-48.
12/10/2020 12:16:32 PM PST
Dr. Joseph Needoba (WG-48)
Ocean Networks Canada
University of Victoria Queenswood Campus
#100-2474 Arbutus Road
Canada V8N 1V8
(236) 638-1940 firstname.lastname@example.org
Dr. Akash Sastri (AP-NPCOOS, BIO, SB, WG-37, WG-48) BIO Chair, WG-37 Co-Chair Fisheries and Ocean Canada
Institute of Ocean Sciences
9860 West Saanich Rd., P.O. Box 6000
Canada V8L 4B2
(1-250) 363-6321 Akash.Sastri@dfo-mpo.gc.ca
Prof. Wongyu Park (BIO, WG-48) BIO Vice-Chair Department of Marine Biology
Pukyong National University
45 Yongso-ro, Nam-gu
Busan, Republic of Korea 48513
(82-51) 629-5930 email@example.com