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1 Ergebnisse
1
Rice plants diseases detection and classification using dee..:
, In:
International Conference on Green Energy, Computing and Intelligent Technology (GEn-CITy 2023)
,
Haq, U. U.
;
Ramzan, M.
;
Bilal, M.
.. - p. None , 2023
Link:
https://doi.org/10.1049/icp.2023.1783
RT T1 <cTitle>International Conference on Green Energy, Computing and Intelligent Technology (GEn-CITy 2023)</cTitle>: T1 <Title>Rice plants diseases detection and classification using deep learning models</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10269205&Exemplar=1&LAN=DE A1 Haq, U. U. A1 Ramzan, M. A1 Bilal, M. A1 Khaliq, S. A1 Rafiq, A. YR 2023 K1 agriculture K1 convolutional neural nets K1 crops K1 deep learning (artificial intelligence) K1 diseases K1 image classification K1 learning (artificial intelligence) K1 plant diseases K1 crop disease research K1 deep learning models K1 machine learning models K1 numerous deep learning K1 outdated disease detection methods K1 plant pathologists K1 rice leaf diseases K1 rice plant diseases K1 rice plants diseases detection K1 rice yields SP None LK http://dx.doi.org/https://doi.org/10.1049/icp.2023.1783 DO https://doi.org/10.1049/icp.2023.1783 SF ELIB - SuUB Bremen
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