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Leveraging Deep Learning's Potential: A CNN and LSTM Networ..:

, In: 2024 IEEE International Conference on Computing, Power and Communication Technologies (IC2PCT),

Chattopadhyay, Saumitra ; Verma, Aditya ; Chauhan, Rajeev Kumar.. - p. 791-795 , 2024

Link: https://doi.org/10.1109/IC2PCT60090.2024.10486277

RT 
T1 <cTitle>2024 IEEE International Conference on Computing, Power and Communication Technologies (IC2PCT)</cTitle>: T1 <Title>Leveraging Deep Learning's Potential: A CNN and LSTM Network-Based Severity Classification of Mustard Downy Mildew</Title>

UL https://suche.suub.uni-bremen.de/peid=ieee-10486277&Exemplar=1&LAN=DE
				
A1 Chattopadhyay, Saumitra
A1 Verma, Aditya
A1 Chauhan, Rajeev Kumar
A1 Kukreja, Vinay
A1 Sharma, Rishabh
YR 2024
K1 Deep learning
K1 Analytical models
K1 Pathology
K1 Plants (biology)
K1 Computational modeling
K1 Crops
K1 Agriculture
K1 Mustard downy mildew
K1 severity classification
K1 CNN
K1 LSTM
K1 deep learning
K1 plant pathology
K1 agricultural technology
K1 disease detection
K1 image analysis
K1 precision agriculture
K1 crop management
K1 automated classification
K1 convolutional neural networks
K1 long short-term memory
K1 agricultural innovation
SP 791
OP 795
LK http://dx.doi.org/https://doi.org/10.1109/IC2PCT60090.2024.10486277
DO https://doi.org/10.1109/IC2PCT60090.2024.10486277
SF ELIB - SuUB Bremen

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