Lee, H., Wang, J., & Leblon, B. (2020). Using Linear Regression, Random Forests, and Support Vector Machine with Unmanned Aerial Vehicle Multispectral Images to Predict Canopy Nitrogen Weight in Corn. Remote sensing (Basel, Switzerland), 12(13), 2071. https://doi.org/10.3390/rs12132071
Chicago Style (17th ed.) CitationLee, Hwang, Jinfei Wang, and Brigitte Leblon. "Using Linear Regression, Random Forests, and Support Vector Machine with Unmanned Aerial Vehicle Multispectral Images to Predict Canopy Nitrogen Weight in Corn." Remote Sensing (Basel, Switzerland) 12, no. 13 (2020): 2071. https://doi.org/10.3390/rs12132071.
MLA (9th ed.) CitationLee, Hwang, et al. "Using Linear Regression, Random Forests, and Support Vector Machine with Unmanned Aerial Vehicle Multispectral Images to Predict Canopy Nitrogen Weight in Corn." Remote Sensing (Basel, Switzerland), vol. 12, no. 13, 2020, p. 2071, https://doi.org/10.3390/rs12132071.