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Can soil organic carbon in long–term experiments be detecte..:

, In: 2023 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor),

Barbetti, Roberto ; Palazzi, Francesco ; Chiarabaglio, Pier Mario... - p. 154-159 , 2023

Link: https://doi.org/10.1109/MetroAgriFor58484.2023.1042407

RT 
T1 <cTitle>2023 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor)</cTitle>: T1 <Title>Can soil organic carbon in long–term experiments be detected using Vis-NIR spectroscopy?</Title>

UL https://suche.suub.uni-bremen.de/peid=ieee-10424077&Exemplar=1&LAN=DE
				
A1 Barbetti, Roberto
A1 Palazzi, Francesco
A1 Chiarabaglio, Pier Mario
A1 Fondon, Carlos Lozano
A1 Rizza, Daniele
A1 Rocci, Alessandro
A1 Grignani, Carlo
A1 Zavattaro, Laura
A1 Moretti, Barbara
A1 Fantappie, Maria
A1 Monaco, Stefano
YR 2023
K1 Climate change
K1 Soil measurements
K1 Organic compounds
K1 Carbon
K1 Memory management
K1 Learning systems
K1 Fertilizers
K1 Data mining
K1 Spectroscopy
K1 Environmental monitoring
K1 Agricultural products
K1 Sustainable development
K1 Predictive models
K1 Data models
K1 Infrared imaging
K1 Sampling methods
K1 Estimation theory
K1 Training data
K1 Vis-NIR spectroscopy
K1 Soil spectral library
K1 Soil organic carbon
K1 data mining
K1 Memory-based learning
SP 154
OP 159
LK http://dx.doi.org/https://doi.org/10.1109/MetroAgriFor58484.2023.10424077
DO https://doi.org/10.1109/MetroAgriFor58484.2023.10424077
SF ELIB - SuUB Bremen

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