A noninvasive, machine learning–based method for monitoring anthocyanin accumulation in plants using digital color imaging-Reference-Cited by-同舟云学术

A noninvasive, machine learning–based method for monitoring anthocyanin accumulation in plants using digital color imaging

Published:2019-11 Issue:11 Volume:7 Page:
ISSN:2168-0450
Container-title:Applications in Plant Sciences
language:en
Short-container-title:Appl Plant Sci

Author:

Askey Bryce C.¹^ORCID,Dai Ru¹^ORCID,Lee Won Suk²,Kim Jeongim¹^ORCID

Affiliation:

1. Horticultural Sciences Department University of Florida Gainesville Florida 32611 USA

2. Department of Agricultural and Biological Engineering University of Florida Gainesville Florida 32611 USA

Funder

U.S. Department of Agriculture

National Institute of Food and Agriculture

University of Florida

Publisher

Wiley

Subject

Plant Science,Ecology, Evolution, Behavior and Systematics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/aps3.11301

Reference25 articles.

1. Loss of FERULATE 5‐HYDROXYLASE leads to mediator dependent inhibition of soluble phenylpropanoid biosynthesis in Arabidopsis;Anderson N. A.;Plant Physiology,2015

2. Activation Tagging Identifies a Conserved MYB Regulator of Phenylpropanoid Biosynthesis

3. Precision Agriculture and Food Security

4. Three‐band model for noninvasive estimation of chlorophyll, carotenoids, and anthocyanin contents in higher plant leaves

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