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1 Ergebnisse
1
Leveraging the CNN Approach for Predicting Severity Levels ..:
, In:
2023 International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering (RMKMATE)
,
Tanwar, Vishesh
;
Sharma, Bhanu
;
Anand, Vatsala
- p. 1-7 , 2023
Link:
https://doi.org/10.1109/RMKMATE59243.2023.10368806
RT T1
2023 International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering (RMKMATE)
: T1
Leveraging the CNN Approach for Predicting Severity Levels of Bacterial Wilt Disease in Potato Leaves
UL https://suche.suub.uni-bremen.de/peid=ieee-10368806&Exemplar=1&LAN=DE A1 Tanwar, Vishesh A1 Sharma, Bhanu A1 Anand, Vatsala YR 2023 K1 Measurement K1 Deep learning K1 Microorganisms K1 Crops K1 Predictive models K1 Data augmentation K1 Knowledge management K1 CNN K1 Potato leaves K1 Severity level research K1 agriculture K1 Plant disease K1 Image processing Bacterial wilt disease SP 1 OP 7 LK http://dx.doi.org/https://doi.org/10.1109/RMKMATE59243.2023.10368806 DO https://doi.org/10.1109/RMKMATE59243.2023.10368806 SF ELIB - SuUB Bremen
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