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

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DOIResolve DOI: https://doi.org/10.1109/CCECE.2017.7946593
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  1. National Research Council Canada. Aquatic and Crop Resource Development
FormatText
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
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PublisherIEEE
LanguageEnglish
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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