IPMCNet: A Lightweight Algorithm for Invasive Plant Multiclassification
IPMCNet: A Lightweight Algorithm for Invasive Plant Multiclassification
About this item
Full title
Author / Creator
Chen, Ying , Qiao, Xi , Qin, Feng , Huang, Hongtao , Liu, Bo , Li, Zaiyuan , Liu, Conghui , Wang, Quan , Wan, Fanghao , Qian, Wanqiang and Huang, Yiqi
Publisher
Basel: MDPI AG
Journal title
Language
English
Formats
Publication information
Publisher
Basel: MDPI AG
Subjects
More information
Scope and Contents
Contents
Invasive plant species pose significant biodiversity and ecosystem threats. Real-time identification of invasive plants is a crucial prerequisite for early and timely prevention. While deep learning has shown promising results in plant recognition, the use of deep learning models often involve a large number of parameters and high data requirements...
Alternative Titles
Full title
IPMCNet: A Lightweight Algorithm for Invasive Plant Multiclassification
Authors, Artists and Contributors
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Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_d0b12709f36f47c7bfab4c62bcd77fa1
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_d0b12709f36f47c7bfab4c62bcd77fa1
Other Identifiers
ISSN
2073-4395
E-ISSN
2073-4395
DOI
10.3390/agronomy14020333
