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Unmanned aircraft system (UAS),High throughput phenotyping,Soybean,Structure from Motion (SfM),Machine learning (ML),Yield,Point clouds
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https://doi.org/10.1186/s13007-020-00620-6
BioMed Central
Plant Methods, https://doi.org/10.1186/s13007-020-00620-6
Unmanned aircraft system (UAS)
High throughput phenotyping
Soybean
Structure from Motion (SfM)
Machine learning (ML)
Yield
Point clouds
Yield prediction by machine learning from UAS-based multi-sensor data fusion in soybean
Monica Herrero-Huerta
Pablo Rodriguez-Gonzalvez
Katy M. Rainey
10.1186/s13007-020-00620-6
2010-04-23
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