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1 Ergebnisse
1
Revolutionizing Blueberry Mosaic Disease Severity Classific..:
, In:
2024 11th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)
,
Kumar, Amresh
;
Singla, Parveen
;
Lamba, Shweta
- p. 1-5 , 2024
Link:
https://doi.org/10.1109/ICRITO61523.2024.10522119
RT T1 <cTitle>2024 11th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)</cTitle>: T1 <Title>Revolutionizing Blueberry Mosaic Disease Severity Classification with CNN-AdaBoost Hybrid Model</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10522119&Exemplar=1&LAN=DE A1 Kumar, Amresh A1 Singla, Parveen A1 Lamba, Shweta YR 2024 SN 2769-2884 K1 Deep learning K1 Crops K1 Market research K1 Reliability K1 Convolutional neural networks K1 Optimization K1 Diseases K1 Blueberry Mosaic Disease K1 Severity Assessment K1 Hybrid Deep Learning Model K1 Convolutional Neural Networks K1 AdaBoost K1 Agricultural Disease Management K1 Image Classification K1 Precision Agriculture K1 Disease Severity Levels K1 Machine Learning in Agriculture SP 1 OP 5 LK http://dx.doi.org/https://doi.org/10.1109/ICRITO61523.2024.10522119 DO https://doi.org/10.1109/ICRITO61523.2024.10522119 SF ELIB - SuUB Bremen
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