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1 Ergebnisse
1
UAV-based Digital Field Phenotyping for Crop Nitrogen Estim..:
, In:
2023 IEEE IAS Global Conference on Emerging Technologies (GlobConET)
,
Patil, Suchitra M
;
Choudhary, Sunita
;
Kholova, Jana
... - p. 1-6 , 2023
Link:
https://doi.org/10.1109/GlobConET56651.2023.10150110
RT T1 <cTitle>2023 IEEE IAS Global Conference on Emerging Technologies (GlobConET)</cTitle>: T1 <Title>UAV-based Digital Field Phenotyping for Crop Nitrogen Estimation using RGB Imagery</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10150110&Exemplar=1&LAN=DE A1 Patil, Suchitra M A1 Choudhary, Sunita A1 Kholova, Jana A1 Anbazhagan, Krithika A1 Parnandi, Yogesh A1 Gattu, Priyanka A1 Mallayee, Srikanth A1 KSVV, Prasad A1 Kumar, V Padma A1 Rajalakshmi, P A1 Chandramouli, Magesh A1 Adinarayana, J YR 2023 K1 Image sensors K1 Linear regression K1 Crops K1 Estimation K1 Vegetation mapping K1 Predictive models K1 Real-time systems K1 Nitrogen K1 Unmanned Aerial Vehicle (UAV) K1 Spatiotemporal RGB imagery K1 Stepwise backward linear regression K1 Sorghum SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/GlobConET56651.2023.10150110 DO https://doi.org/10.1109/GlobConET56651.2023.10150110 SF ELIB - SuUB Bremen
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