Apple Leaf Disease Identification with a Small and Imbalanced Dataset Based on Lightweight Convoluti...
Apple Leaf Disease Identification with a Small and Imbalanced Dataset Based on Lightweight Convolutional Networks
About this item
Full title
Author / Creator
Li, Lili , Zhang, Shujuan and Wang, Bin
Publisher
Switzerland: MDPI AG
Journal title
Language
English
Formats
Publication information
Publisher
Switzerland: MDPI AG
Subjects
More information
Scope and Contents
Contents
The intelligent identification and classification of plant diseases is an important research objective in agriculture. In this study, in order to realize the rapid and accurate identification of apple leaf disease, a new lightweight convolutional neural network RegNet was proposed. A series of comparative experiments had been conducted based on 214...
Alternative Titles
Full title
Apple Leaf Disease Identification with a Small and Imbalanced Dataset Based on Lightweight Convolutional Networks
Authors, Artists and Contributors
Author / Creator
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_f5d9cc647f074451befdfaa23f02c594
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_f5d9cc647f074451befdfaa23f02c594
Other Identifiers
ISSN
1424-8220
E-ISSN
1424-8220
DOI
10.3390/s22010173
