An approach to detect branches and seedpods based on 3D image in low-cost plant phenotyping platform

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DOIResolve DOI: http://doi.org/10.1109/CCECE.2017.7946593
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TypeArticle
Proceedings title2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE)
ConferenceIEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE), 30 April-3 May 2017, Windsor, ON, Canada
ISBN9781509055388
Article number16963524
Subject3D plant phenotyping; image processing; time-of-flight camera; counting branches and seedpods
Abstract
Publication date
PublisherIEEE
LanguageEnglish
AffiliationNational Research Council Canada; Aquatic and Crop Resource Development
Peer reviewedYes
NRC numberNRC-ACRD-56317
NPARC number23002104
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Record identifier953390a1-7621-4dc9-8faa-2d3da061aa78
Record created2017-08-18
Record modified2017-08-22
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