Artificial neural network (ANN)-based algorithms for high light stress phenotyping of tomato genotypes using chlorophyll fluorescence features-Reference-Cited by-同舟云学术

Artificial neural network (ANN)-based algorithms for high light stress phenotyping of tomato genotypes using chlorophyll fluorescence features

Published:2023-08 Issue: Volume:201 Page:107893
ISSN:0981-9428
Container-title:Plant Physiology and Biochemistry
language:en
Short-container-title:Plant Physiology and Biochemistry

Author:

Shomali Aida,Aliniaeifard Sasan^ORCID,Bakhtiarizadeh Mohammad Reza^ORCID,Lotfi Mahmoud,Mohammadian Mohammad^ORCID,Vafaei Sadi Mohammad Sadegh,Rastogi Anshu

Publisher

Elsevier BV

Subject

Plant Science,Genetics,Physiology

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3. Melatonin induced changes in photosynthetic efficiency as probed by OJIP associated with improved chromium stress tolerance in canola (Brassica napus L.);Ayyaz;Heliyon,2020

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5. Chlorophyll fluorescence imaging uncovers photosynthetic fingerprint of citrus Huanglongbing;Cen;Front. Plant Sci.,2017

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