Raspberry Pi-powered imaging for plant phenotyping-Reference-Cited by-同舟云学术

Raspberry Pi-powered imaging for plant phenotyping

Published:2018-03 Issue:3 Volume:6 Page:e1031
ISSN:2168-0450
Container-title:Applications in Plant Sciences
language:en
Short-container-title:Appl Plant Sci

Author:

Tovar Jose C.¹,Hoyer J. Steen¹²,Lin Andy¹,Tielking Allison¹,Callen Steven T.¹,Elizabeth Castillo S.¹,Miller Michael¹,Tessman Monica¹,Fahlgren Noah¹,Carrington James C.¹,Nusinow Dmitri A.¹,Gehan Malia A.¹^ORCID

Affiliation:

1. Donald Danforth Plant Science Center; 975 North Warson Road St. Louis Missouri 63132 USA

2. Computational and Systems Biology Program; Washington University in St. Louis; One Brookings Drive St. Louis Missouri 63130 USA

Funder

Donald Danforth Plant Science Center and the National Science Foundation

Publisher

Wiley

Subject

Plant Science,Ecology, Evolution, Behavior and Systematics

Reference25 articles.

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3. RGB and spectral root imaging for plant phenotyping and physiological research: Experimental setup and imaging protocols;Bodner;Journal of Visualized Experiments: JoVE,2017

4. Dissecting the phenotypic components of crop plant growth and drought responses based on high-throughput image analysis;Chen;Plant Cell,2014

5. A versatile phenotyping system and analytics platform reveals diverse temporal responses to water availability in Setaria;Fahlgren;Molecular Plant,2015

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