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Application of deep learning for the analysis of stomata: a review of current methods and future directions. (2024)

First Author: Gibbs JA

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1093/jxb/erae207

PubMed Identifier: 38716775

Publication URI: http://europepmc.org/abstract/MED/38716775

Type: Journal Article/Review

Volume: 75

Parent Publication: Journal of experimental botany

Issue: 21

ISSN: 0022-0957