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A Combined Network for Tomato Leaf Disease Recognization Ba..:

, In: 2022 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, Physical & Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics),

Li, Xiao-Mei ; Xu, Min ; Li, Tian-Yu... - p. 395-400 , 2022

Link: https://doi.org/10.1109/iThings-GreenCom-CPSCom-SmartD..

RT 
T1 <cTitle>2022 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, Physical & Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics)</cTitle>: T1 <Title>A Combined Network for Tomato Leaf Disease Recognization Based on the Improved EfficientNet</Title>

UL https://suche.suub.uni-bremen.de/peid=ieee-9903204&Exemplar=1&LAN=DE
				
A1 Li, Xiao-Mei
A1 Xu, Min
A1 Li, Tian-Yu
A1 Xu, Wei
A1 Gai, Rong-Li
A1 Hu, Ling-Yan
A1 Wang, Zu-Min
YR 2022
K1 Visualization
K1 Social computing
K1 Convolution
K1 Computational modeling
K1 Semantics
K1 Neural networks
K1 Feature extraction
K1 tomato disease
K1 EfficientNet
K1 DO-Conv
K1 HSV color space
K1 lightweight
SP 395
OP 400
LK http://dx.doi.org/https://doi.org/10.1109/iThings-GreenCom-CPSCom-SmartData-Cybermatics55523.2022.00089
DO https://doi.org/10.1109/iThings-GreenCom-CPSCom-SmartData-Cybermatics55523.2022.00089
SF ELIB - SuUB Bremen

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