TY  - JOUR 
AU  - Escuela Superior y Tecnica de Ingenieros de Minas
AU  - Herrero-Huerta, Mónica
AU  - Rodríguez Gonzálvez, Pablo
AU  - Rainey, Katy M.
AU  - Ingeniería Cartografica, Geodesica y Fotogrametria
DA  - 2020/06/06
SN  - 1746-4811
UR  - http://hdl.handle.net/10612/14771
AB  - Nowadays, automated phenotyping of plants is essential for precise and cost-effective improvement in the efficiency of crop genetics. In recent years, machine learning (ML) techniques have shown great success in the classification and modelling of...
LA  - eng
KW  - Ingenierías
KW  - Unmanned aircraft system (UAS)
KW  - High throughput phenotyping,
KW  - Soybean
KW  - Structure from Motion (SfM)
KW  - Machine learning (ML)
KW  - Yield
KW  - Point clouds
TI  - Yield prediction by machine learning from UAS‑based mulit‑sensor data fusion in soybean
DO  - https://doi.org/10.1186/s13007-020-00620-6
T2  - Plant Methods
VL  - 16
M2  - 78:1
ER  -