Stress phenotyping analysis leveraging autofluorescence image sequences with machine learning

Stress phenotyping analysis leveraging autofluorescence image sequences with machine learning

BackgroundAutofluorescence-based imaging has the potential to non-destructively characterize the biochemical and physiological properties of plants regulated by genotypes using optical properties of the tissue. A comparative study of stress tolerant and stress susceptible genotypes of Brassica rapa...

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Bibliographic Details
Main Authors: Sruti Das Choudhury, Carmela Rosaria Guadagno, Srinidhi Bashyam, Anastasios Mazis, Brent E. Ewers, Ashok Samal, Tala Awada
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-04-01
Series:Frontiers in Plant Science
Subjects:
autofluorescence imaging
stress detection
machine learning-based classifier
high throughput plant phenotyping
drought stress
genotypic variation
Online Access:https://www.frontiersin.org/articles/10.3389/fpls.2024.1353110/full

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https://www.frontiersin.org/articles/10.3389/fpls.2024.1353110/full

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