TY  - JOUR 
AU  - Gómez Aragón, Diego
AU  - Salvador González, Pablo
AU  - Sanz Justo, María Julia
AU  - Casanova Roque, José Luis
PY  - 2019
SN  - 2072-4292
UR  - https://uvadoc.uva.es/handle/10324/55863
AB  - Traditional potato growth models evidence certain limitations, such as the cost of obtaining the input data required to run the models, the lack of spatial information in some instances, or the actual quality of input data. In order to address these...
LA  - eng
PB  - MDPI
KW  - Machine learning
KW  - Aprendizaje automático
KW  - Potato yield
KW  - Potato yield
KW  - Patata - Cultivo
KW  - Precision agriculture
KW  - Agricultura de precisión
KW  - Satellite remote sensing
KW  - Teledetección satelital
TI  - Potato yield prediction using machine learning techniques and Sentinel 2 data
DO  - 10.3390/rs11151745
ER  -