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1 Ergebnisse
1
Machine and Deep Learning Approaches for Crop Disease Detec..:
, In:
2024 IEEE 9th International Conference for Convergence in Technology (I2CT)
,
Chandu, Hema Poojitha
;
Gayam, Vyshnavi
;
Kotipalli, Khyathi Devi
... - p. 1-5 , 2024
Link:
https://doi.org/10.1109/I2CT61223.2024.10543627
RT T1
2024 IEEE 9th International Conference for Convergence in Technology (I2CT)
: T1
Machine and Deep Learning Approaches for Crop Disease Detection: An In-Depth Analysis
UL https://suche.suub.uni-bremen.de/peid=ieee-10543627&Exemplar=1&LAN=DE A1 Chandu, Hema Poojitha A1 Gayam, Vyshnavi A1 Kotipalli, Khyathi Devi A1 Ramireddygari, Poojitha A1 Tokala, Srilatha A1 Enduri, Murali Krishna YR 2024 K1 Deep learning K1 Support vector machines K1 Productivity K1 Pathology K1 Rain K1 Sociology K1 Crops K1 Image classification K1 Machine Learning K1 Deep Learning;Agricultural Technology K1 Crop Disease Detection SP 1 OP 5 LK http://dx.doi.org/https://doi.org/10.1109/I2CT61223.2024.10543627 DO https://doi.org/10.1109/I2CT61223.2024.10543627 SF ELIB - SuUB Bremen
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