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Remote Sensing and Machine Learning Modeling to Support the..:
Lozano-Garzon, Carlos
;
Bravo-Cordoba, German
;
Castro, Harold
...
IEEE Access. 10 (2022) - p. 17542-17555 , 2022
Link:
https://doi.org/10.1109/access.2022.3148691
RT Journal T1
Remote Sensing and Machine Learning Modeling to Support the Identification of Sugarcane Crops
UL https://suche.suub.uni-bremen.de/peid=cr-10.1109_access.2022.3148691&Exemplar=1&LAN=DE A1 Lozano-Garzon, Carlos A1 Bravo-Cordoba, German A1 Castro, Harold A1 Gonzalez-Rodriguez, Geovanny A1 Nino, David A1 Nunez, Haydemar A1 Pardo, Carolina A1 Vivas, Aurelio A1 Castro, Yuber A1 Medina, Jazmin A1 Motta, Luis Carlos A1 Rojas, Julio Rene A1 Suarez, Luis Ignacio PB Institute of Electrical and Electronics Engineers (IEEE) YR 2022 SN 2169-3536 JF IEEE Access VO 10 SP 17542 OP 17555 LK http://dx.doi.org/https://doi.org/10.1109/access.2022.3148691 DO https://doi.org/10.1109/access.2022.3148691 SF ELIB - SuUB Bremen
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