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Capability of hyperspectral and thermal data to predict gas..:
, In:
2023 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor)
,
Ramirez-Cuesta, Juan Miguel
;
Intrigliolo, Diego S.
;
Calvo, Jose Martinez
... - p. 126-130 , 2023
Link:
https://doi.org/10.1109/MetroAgriFor58484.2023.1042423
RT T1 <cTitle>2023 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor)</cTitle>: T1 <Title>Capability of hyperspectral and thermal data to predict gas exchange and chlorophyll fluorescence parameters in broccoli</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10424238&Exemplar=1&LAN=DE A1 Ramirez-Cuesta, Juan Miguel A1 Intrigliolo, Diego S. A1 Calvo, Jose Martinez A1 Vanella, Daniela A1 Bolumar, Joaquin Bolumar A1 Perez, Juan Gabriel Perez YR 2023 K1 Satellites K1 Crops K1 Vegetation mapping K1 Fluorescence K1 Soil K1 Sensors K1 Hyperspectral imaging K1 crop water status K1 stomatal conductance K1 apparent transpiration K1 electron transport rate K1 photosystem II efficiency K1 reflectance K1 proximal sensing SP 126 OP 130 LK http://dx.doi.org/https://doi.org/10.1109/MetroAgriFor58484.2023.10424238 DO https://doi.org/10.1109/MetroAgriFor58484.2023.10424238 SF ELIB - SuUB Bremen
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