Monitoring wheat leaf rust severity using machine learning techniques

Wheat leaf rust, caused by Puccinia triticina Eriks., is recognized as one of the most destructive diseases affecting wheat worldwide, including Iran, resulting in substantial losses in grain yield and quality. This research focused on evaluating the pathogenic factors of nine leaf rust isolates col...

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Bibliographic Details
Published in:	Scientific reports Vol. 15; no. 1; p. 42951
Main Authors:	Bakhshi, Tayebeh, Mehrabi, Rahim, Sarbarzeh, Mostafa Aghaee, Türkoğlu, Aras, Demirel, Fatih, Haliloğlu, Kamil, Benlioğlu, Berk, Sarhangi, Mohsen, Ahmadi, Farajollah Shahriari, Bocianowski, Jan
Format:	Journal Article
Language:	English
Published:	London Nature Publishing Group UK 29.11.2025
Subjects:	631/114 631/208 631/326 631/449 Basidiomycota - pathogenicity Disease Resistance - genetics Genotype Humanities and Social Sciences Iran Machine Learning multidisciplinary Plant Diseases - genetics Plant Diseases - microbiology Plant Leaves - genetics Plant Leaves - microbiology Puccinia - pathogenicity Science Science (multidisciplinary) Seedlings - genetics Seedlings - microbiology Triticum - genetics Triticum - microbiology Iran Leaf rust Resistance gene Wheat Virulence factor
ISSN:	2045-2322, 2045-2322
Online Access:	Get full text
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