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A Case Study on Non-Invasive Plant Health Diagnosis Using M..:
, In:
2023 International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering (RMKMATE)
,
Piriyadharshini, S.
;
Ezhilarasi, P.
- p. 1-7 , 2023
Link:
https://doi.org/10.1109/RMKMATE59243.2023.10369333
RT T1 <cTitle>2023 International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering (RMKMATE)</cTitle>: T1 <Title>A Case Study on Non-Invasive Plant Health Diagnosis Using Multi-View Stereo Spectral Imaging</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10369333&Exemplar=1&LAN=DE A1 Piriyadharshini, S. A1 Ezhilarasi, P. YR 2023 K1 Ethics K1 Technological innovation K1 Costs K1 Plants (biology) K1 Imaging K1 Agriculture K1 Biomedical monitoring K1 Multi-View Stereo K1 Spectral Imaging K1 Non-Invasive Diagnosis K1 Plant Health K1 Deep Learning K1 NDVI K1 Stereo Vision K1 Matching Cost Update SP 1 OP 7 LK http://dx.doi.org/https://doi.org/10.1109/RMKMATE59243.2023.10369333 DO https://doi.org/10.1109/RMKMATE59243.2023.10369333 SF ELIB - SuUB Bremen
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