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1
Developing a Comprehensive Hybrid Model Utilizing Convoluti..:
, In:
2024 International Conference on Emerging Technologies in Computer Science for Interdisciplinary Applications (ICETCS)
,
Satyarthi, Abhishek
;
Upadhyay, Deepak
;
Bharti, Dilip Kumar
... - p. 1-5 , 2024
Link:
https://doi.org/10.1109/ICETCS61022.2024.10544136
RT T1 <cTitle>2024 International Conference on Emerging Technologies in Computer Science for Interdisciplinary Applications (ICETCS)</cTitle>: T1 <Title>Developing a Comprehensive Hybrid Model Utilizing Convolutional Neural Networks and Random Forest for the Advanced Classification of Tomato Rot Disease Severity Stages</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10544136&Exemplar=1&LAN=DE A1 Satyarthi, Abhishek A1 Upadhyay, Deepak A1 Bharti, Dilip Kumar A1 Manwal, Manika A1 Kukreja, Vinay A1 Sharma, Rishabh YR 2024 K1 Deep learning K1 Radio frequency K1 Plant diseases K1 Plants (biology) K1 Crops K1 Predictive models K1 Loss measurement K1 Tomato Rot Disease K1 Agriculture Security K1 Convolutional Neural Networks K1 Random Forest K1 Deep Learning SP 1 OP 5 LK http://dx.doi.org/https://doi.org/10.1109/ICETCS61022.2024.10544136 DO https://doi.org/10.1109/ICETCS61022.2024.10544136 SF ELIB - SuUB Bremen
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