[Cyverse.Nappn] [cfp] Computer Vision in Plant Phenotyping and Agriculture (CVPPA) Workshop at ICCV 2021

[Tabb, Amy]

Hello NAPPNers,

This workshop may be of interest to the community.  The CfP is below and there are also ongoing challenges.  Details at https://cvppa2021.github.io/challenges/ .

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Computer Vision in Plant Phenotyping and Agriculture (CVPPA) Workshop at ICCV 2021
https://cvppa2021.github.io

CALL FOR PAPERS

Following successful CVPPP workshops from recent years at ECCV, BMVC, ICCV, and CVPR, CVPPP this year is held in conjunction with ICCV 2021. In this seventh workshop we aim to expand the scope of CVPPP to include computer vision research in agriculture more broadly. To reflect this change we have renamed the workshop to CVPPA: Computer Vision in Plant Phenotyping and Agriculture. The goal of the workshop remains to extend the state of the art in computer vision for plant and crop applications.

Submission due (full paper or 1 page abstract):
16 July 2021

Notification of acceptance:
06 August 2021

Camera-ready (papers and abstracts):
17 August 2021

Workshop date:
11, 16 or 17 October 2021 (TBA)

Workshop topics:

Plant phenotyping is the identification of effects on plant structure and function (the phenotype) resulting from genotypic differences (i.e., differences in the genetic code) and the environmental conditions a plant has been exposed to. Knowledge of plant phenotypes is a key ingredient of the knowledge-based bioeconomy, which not only literally helps to feed the world, but is also essential for feed, fibre and fuel production.

Computer vision in agriculture problems tend to revolve around automation problems, such as automated detection of plant organs for automated weeding or harvest. The images are acquired in a variety of contexts: forests, fields, greenhouses or controlled environments, packing houses, etc. Since these definitions are quite broad, please contact the organizers if you are unsure about whether your submission is in the scope of the workshop.

We want to identify key but unsolved problems, expose the current state-of-the-art, and broaden the field and the community.

Specific topics of interest include, but are not limited to, the following:

- advances in segmentation, tracking, detection, reconstruction and identification methods that address unsolved plant phenotyping and agricultural scenarios;
- open source implementations, comparison and discussion of existing methods and annotation tools;
- image data sets defining plant phenotyping or agricultural tasks, complete with annotations if appropriate, accompanied with benchmark methods if possible, and suitable evaluation methods; and
- challenge contributions advancing the state of the art in the:
    - Global Wheat Head Detection Challenge 2021 (http://www.global-wheat.com/).
    - Leaf Segmentation Challenge (https://www.plant-phenotyping.org/CVPPP2017-challenge),
    - Leaf Counting Challenge (https://data-challenges.fz-juelich.de/web/challenges/challenge-page/85/overview)


Further information and submission guidelines:

We welcome both full papers and one page abstracts [will appear on the CVPPA website, only].
Full papers as well as abstracts undergo double blind peer-review. Further information about the workshop, author instructions, submission guidelines, and the challenges are available at: https://cvppa2021.github.io/

We are looking forward to inspiring solutions for automated plant phenotyping and agricultural applications!


Workshop Organizers:

Ian Stavness (University of Saskatchewan, Canada), Ian.Stavness at usask.ca
Valerio Giuffrida (Edinburgh Napier University, UK), V.Giuffrida at napier.ac.uk
Amy Tabb (US Dept. of Agriculture, Agricultural Research Service, USA), amy.tabb at usda.gov
Michael Pound (University of Nottingham, UK), Michael.Pound at nottingham.ac.uk
Andrew French (University of Nottingham, UK), Andrew.P.French at nottingham.ac.uk
Tony Pridmore (University of Nottingham, UK), Tony.Pridmore at nottingham.ac.uk
Sotirios A. Tsaftaris (University of Edinburgh, UK), S.Tsaftaris at ed.ac.uk
Hanno Scharr (Forschungszentrum JŸlich, Germany), H.Scharr at fz-juelich.de



Amy Tabb PhD
Research Engineer

she/her
preferred address: Amy
if you really want to use a title and/or family name: Dr. Tabb

USDA-ARS-AFRS
(United States Department of Agriculture,
Agricultural Research Service,
Appalachian Fruit Research Station)
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304-620-5645 mobile
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amy.tabb at usda.gov
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