Cite
Closing the Phenotyping Gap: High Resolution UAV Time Series for Soybean Growth Analysis Provides Objective Data from Field Trials.
MLA
Borra-Serrano, Irene, et al. “Closing the Phenotyping Gap: High Resolution UAV Time Series for Soybean Growth Analysis Provides Objective Data from Field Trials.” Remote Sensing, vol. 12, no. 10, May 2020, p. 1644. EBSCOhost, https://doi.org/10.3390/rs12101644.
APA
Borra-Serrano, I., De Swaef, T., Quataert, P., Aper, J., Saleem, A., Saeys, W., Somers, B., Roldán-Ruiz, I., & Lootens, P. (2020). Closing the Phenotyping Gap: High Resolution UAV Time Series for Soybean Growth Analysis Provides Objective Data from Field Trials. Remote Sensing, 12(10), 1644. https://doi.org/10.3390/rs12101644
Chicago
Borra-Serrano, Irene, Tom De Swaef, Paul Quataert, Jonas Aper, Aamir Saleem, Wouter Saeys, Ben Somers, Isabel Roldán-Ruiz, and Peter Lootens. 2020. “Closing the Phenotyping Gap: High Resolution UAV Time Series for Soybean Growth Analysis Provides Objective Data from Field Trials.” Remote Sensing 12 (10): 1644. doi:10.3390/rs12101644.