VLDNet: An Ultra-Lightweight Crop Disease Identification Network
VLDNet: An Ultra-Lightweight Crop Disease Identification Network
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Publisher
Basel: MDPI AG
Journal title
Language
English
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Publisher
Basel: MDPI AG
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Scope and Contents
Contents
Existing deep learning methods usually adopt deeper and wider network structures to achieve better performance. However, we found that this rule does not apply well to crop disease identification tasks, which inspired us to rethink the design paradigm of disease identification models. Crop diseases belong to fine-grained features and lack obvious p...
Alternative Titles
Full title
VLDNet: An Ultra-Lightweight Crop Disease Identification Network
Authors, Artists and Contributors
Author / Creator
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_94e6b7b4092f40d9a88bbd0e0893f17d
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_94e6b7b4092f40d9a88bbd0e0893f17d
Other Identifiers
ISSN
2077-0472
E-ISSN
2077-0472
DOI
10.3390/agriculture13081482
