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1
ResNet/ResNetV2 Supported Framework for Rice-Plant Disease ..:
, In:
2023 International Conference on System, Computation, Automation and Networking (ICSCAN)
,
Santhosh, R.
;
Arunmozhi, S.
;
Tewari, Nilanjan
- p. 1-5 , 2023
Link:
https://doi.org/10.1109/ICSCAN58655.2023.10395708
RT T1 <cTitle>2023 International Conference on System, Computation, Automation and Networking (ICSCAN)</cTitle>: T1 <Title>ResNet/ResNetV2 Supported Framework for Rice-Plant Disease Detection Using Leaf Data</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10395708&Exemplar=1&LAN=DE A1 Santhosh, R. A1 Arunmozhi, S. A1 Tewari, Nilanjan YR 2023 K1 Measurement K1 Deep learning K1 Plant diseases K1 Automation K1 Computational modeling K1 Feature extraction K1 Data models K1 rice-plant disease K1 ResNet K1 ResNetV2 K1 leaf information K1 classification SP 1 OP 5 LK http://dx.doi.org/https://doi.org/10.1109/ICSCAN58655.2023.10395708 DO https://doi.org/10.1109/ICSCAN58655.2023.10395708 SF ELIB - SuUB Bremen
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