Maize Small Leaf Spot Classification Based on Improved Deep Convolutional Neural Networks with a Mul...
Maize Small Leaf Spot Classification Based on Improved Deep Convolutional Neural Networks with a Multi-Scale Attention Mechanism
About this item
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Author / Creator
Yin, Chenghai , Zeng, Tiwei , Zhang, Huiming , Fu, Wei , Wang, Lei and Yao, Siyu
Publisher
Basel: MDPI AG
Journal title
Language
English
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Publication information
Publisher
Basel: MDPI AG
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Scope and Contents
Contents
Maize small leaf spot (Bipolaris maydis) is one of the most important diseases of maize. The severity of the disease cannot be accurately identified, the cost of pesticide application increases every year, and the agricultural ecological environment is polluted. Therefore, in order to solve this problem, this study proposes a novel deep learning ne...
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Full title
Maize Small Leaf Spot Classification Based on Improved Deep Convolutional Neural Networks with a Multi-Scale Attention Mechanism
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Author / Creator
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_1a20d5defccc45a3af5e784406fdb3d9
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_1a20d5defccc45a3af5e784406fdb3d9
Other Identifiers
ISSN
2073-4395
E-ISSN
2073-4395
DOI
10.3390/agronomy12040906
