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Wheat Stripe Rust Grading by Deep Learning With Attention Mechanism and Images From Mobile Devices

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dc.contributor.authorMi, Zhiwen
dc.contributor.authorZhang, Xudong
dc.contributor.authorSu, Jinya
dc.contributor.authorHan, Dejun
dc.contributor.authorSu, Baofeng
dc.contributor.institutionUniversity of Aberdeen.Computing Scienceen
dc.contributor.institutionUniversity of Aberdeen.Machine Learningen
dc.date.accessioned2023-03-08T16:54:01Z
dc.date.available2023-03-08T16:54:01Z
dc.date.issued2020-09-09
dc.descriptionAuthor Contributions ZM designed and performed the experiment, selected algorithm, analyzed data, and wrote the manuscript. XZ trained algorithms and analyzed data. JS analyzed data and wrote the manuscript. DH collected data and monitored data analysis. BS conceived the study and participated in its design. All authors contributed to the article and approved the submitted version. Funding This work was funded by the Fundamental Research Funds for the Central Universities (No.2452019028).en
dc.description.statusPeer revieweden
dc.format.extent3427788
dc.identifier215299995
dc.identifier5f4fe05a-57e1-4fb4-9dd2-cffcdcbfbce3
dc.identifier85091438554
dc.identifier.citationMi, Z, Zhang, X, Su, J, Han, D & Su, B 2020, 'Wheat Stripe Rust Grading by Deep Learning With Attention Mechanism and Images From Mobile Devices', Frontiers in plant science, vol. 11, 558126. https://doi.org/10.3389/fpls.2020.558126en
dc.identifier.doi10.3389/fpls.2020.558126
dc.identifier.issn1664-462X
dc.identifier.urihttps://hdl.handle.net/2164/20260
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85091438554&partnerID=8YFLogxKen
dc.identifier.vol11en
dc.language.isoeng
dc.relation.ispartofFrontiers in plant scienceen
dc.subjectSDG 3 - Good Health and Well-beingen
dc.subjectattention mechanismen
dc.subjectC-DenseNeten
dc.subjectCBAM moduleen
dc.subjectdisease gradingen
dc.subjectwheat stripe rusten
dc.subjectQ Scienceen
dc.subjectPlant Scienceen
dc.subjectSupplementary Dataen
dc.subject.lccQen
dc.titleWheat Stripe Rust Grading by Deep Learning With Attention Mechanism and Images From Mobile Devicesen
dc.typeJournal articleen

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