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1 Ergebnisse
1
Satellite-based Grapevine Phenological Stage Detection thro..:
, In:
2023 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor)
,
Blanco, Giacomo
;
Oldani, Federico
;
Salza, Dario
.. - p. 60-65 , 2023
Link:
https://doi.org/10.1109/MetroAgriFor58484.2023.1042421
RT T1 <cTitle>2023 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor)</cTitle>: T1 <Title>Satellite-based Grapevine Phenological Stage Detection through a Deep Supervised Machine Learning Approach</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10424215&Exemplar=1&LAN=DE A1 Blanco, Giacomo A1 Oldani, Federico A1 Salza, Dario A1 Basile, Boris A1 Rossi, Claudio YR 2023 K1 Satellites K1 Pipelines K1 Vegetation mapping K1 Machine learning K1 Real-time systems K1 Satellite images K1 Reliability K1 Grapevine phenology K1 satellite data K1 machine learning K1 time series analysis SP 60 OP 65 LK http://dx.doi.org/https://doi.org/10.1109/MetroAgriFor58484.2023.10424215 DO https://doi.org/10.1109/MetroAgriFor58484.2023.10424215 SF ELIB - SuUB Bremen
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