Lightweight real-time detectors of apple-leaf diseases operating on embedded devices.

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Bibliographic Details
Title: Lightweight real-time detectors of apple-leaf diseases operating on embedded devices.
Authors: Qin Y; College of Mathematics and Computer Science, Zhejiang A&F University, Hangzhou, China., Liu Q; College of Mathematics and Computer Science, Zhejiang A&F University, Hangzhou, China., Liu H; College of Mathematics and Computer Science, Zhejiang A&F University, Hangzhou, China., Zhang H; School of Advanced Technology, Xi'an Jiaotong-Liverpool University, Suzhou, China., Ji Z; College of Mathematics and Computer Science, Zhejiang A&F University, Hangzhou, China., Ganchev I; TRC/ECE, University of Limerick, Plassey, National Technological Park, Limerick, Ireland.; Faculty of Mathematics and Informatics, University of Plovdiv 'Paisii Hilendarski', Plovdiv, Bulgaria.; Institute of Mathematics and Informatics - Bulgarian Academy of Sciences, Sofia, Bulgaria.
Source: PloS one [PLoS One] 2026 Jul 09; Vol. 21 (7), pp. e0352500. Date of Electronic Publication: 2026 Jul 09 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1932-6203
DOI:10.1371/journal.pone.0352500