DeiT framework pairs plant disease detection with interpretable severity estimates
A hybrid DeiT system reached 99.13% accuracy on a 38-class plant disease benchmark while combining local and global AI explanations ...
A hybrid DeiT system reached 99.13% accuracy on a 38-class plant disease benchmark while combining local and global AI explanations ...
Whole-genome sequencing of the canola blackleg fungus Plenodomus biglobosus has yielded a 33.18-megabase assembly and comparative analysis identifying candidate genes ...
A 240-run reevaluation of potato disease classifiers shows that DINOv2 visual clusters poorly match published leaf identities and that grouped ...
Bark extracts of Litsea glutinosa, together with the compounds kaempferol and beta-sitosterol, reduced bacterial wilt severity in tomatoes over two ...
A survey of 30,501 walnut trees across eight Central Anatolian provinces identified five Botryosphaeriaceae species associated with canker, twig dieback, ...
Researchers combined morphology, multi-locus phylogenetics, whole-genome sequencing and pathogenicity tests to describe nine new Gnomoniopsis species from Chinese forest leaves, ...
A study of resistant and susceptible banana lines found that three years of continuous cropping coincided with reduced Fusarium wilt, ...
A lightweight detection model achieved 90.6% mAP50 for potato leaf-disease localization while using fewer parameters and less computation than RT-DETR-R18.
A nationwide study of 112 specimens reveals that rose powdery mildew in China comprises five distinct species across two genera, ...
A multi-locus taxonomic revision identified nine new Peronospora species on Veronica and documented two host shifts involving ornamental plants formerly ...
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© 2025 Scienmag - Science Magazine