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1 Ergebnisse
1
CNN and Random Forest Hybrid Model for Tea Leaf Diseases Mu..:
, In:
2024 International Conference on Automation and Computation (AUTOCOM)
,
Raj, Mayank
;
Jha, Pratibha
;
Magar, Merry Gadaili
. - p. 52-56 , 2024
Link:
https://doi.org/10.1109/AUTOCOM60220.2024.10486177
RT T1 <cTitle>2024 International Conference on Automation and Computation (AUTOCOM)</cTitle>: T1 <Title>CNN and Random Forest Hybrid Model for Tea Leaf Diseases Multiclassification</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10486177&Exemplar=1&LAN=DE A1 Raj, Mayank A1 Jha, Pratibha A1 Magar, Merry Gadaili A1 Kukreja, Vinay YR 2024 K1 Analytical models K1 Image recognition K1 Reviews K1 Neural networks K1 Production K1 Forestry K1 Feature extraction K1 Tea leaf diseases K1 Random Forest K1 CNN K1 Feature Extraction K1 Machine Learning K1 Image Processing SP 52 OP 56 LK http://dx.doi.org/https://doi.org/10.1109/AUTOCOM60220.2024.10486177 DO https://doi.org/10.1109/AUTOCOM60220.2024.10486177 SF ELIB - SuUB Bremen
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