Yu, J.; Wang, J.; Leblon, B.
Evaluation of Soil Properties, Topographic Metrics, Plant Height, and Unmanned Aerial Vehicle Multispectral Imagery Using Machine Learning Methods to Estimate Canopy Nitrogen Weight in Corn. Remote Sens. 2021, 13, 3105.
https://doi.org/10.3390/rs13163105
AMA Style
Yu J, Wang J, Leblon B.
Evaluation of Soil Properties, Topographic Metrics, Plant Height, and Unmanned Aerial Vehicle Multispectral Imagery Using Machine Learning Methods to Estimate Canopy Nitrogen Weight in Corn. Remote Sensing. 2021; 13(16):3105.
https://doi.org/10.3390/rs13163105
Chicago/Turabian Style
Yu, Jody, Jinfei Wang, and Brigitte Leblon.
2021. "Evaluation of Soil Properties, Topographic Metrics, Plant Height, and Unmanned Aerial Vehicle Multispectral Imagery Using Machine Learning Methods to Estimate Canopy Nitrogen Weight in Corn" Remote Sensing 13, no. 16: 3105.
https://doi.org/10.3390/rs13163105
APA Style
Yu, J., Wang, J., & Leblon, B.
(2021). Evaluation of Soil Properties, Topographic Metrics, Plant Height, and Unmanned Aerial Vehicle Multispectral Imagery Using Machine Learning Methods to Estimate Canopy Nitrogen Weight in Corn. Remote Sensing, 13(16), 3105.
https://doi.org/10.3390/rs13163105
