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Desarrollo de una herramienta de aprendizaje automático que..:
, In:
2021 XXIII Symposium on Image, Signal Processing and Artificial Vision (STSIVA)
,
Cordoba, Zaira Katherin Luna
;
Mujica, Leonardo Rodriguez
;
Trujillo Fandino, Santiago A.
- p. 1-6 , 2021
Link:
https://doi.org/10.1109/STSIVA53688.2021.9591998
RT T1
2021 XXIII Symposium on Image, Signal Processing and Artificial Vision (STSIVA)
: T1
Desarrollo de una herramienta de aprendizaje automático que estime el estado de nitrógeno presente en las hojas de gulupa usando imágenes multiespectrales
UL https://suche.suub.uni-bremen.de/peid=ieee-9591998&Exemplar=1&LAN=DE A1 Cordoba, Zaira Katherin Luna A1 Mujica, Leonardo Rodriguez A1 Trujillo Fandino, Santiago A. YR 2021 SN 2329-6259 K1 Nitrogen K1 Vegetation mapping K1 Feature extraction K1 Machine learning K1 Image color analysis K1 Irrigation K1 Indexes K1 gulupa K1 machine learning K1 multiespectral images nitrogen K1 vegetation indices SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/STSIVA53688.2021.9591998 DO https://doi.org/10.1109/STSIVA53688.2021.9591998 SF ELIB - SuUB Bremen
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