Using Linear Regression, Random Forests, and Support Vector Machine with Unmanned Aerial Vehicle Multispectral Images to Predict Canopy Nitrogen Weight in Corn - Lee, Hwang; Wang, Jinfei; Leblon, Brigitte (Remote sensing (Basel, Switzerland), 2020)
Keywords: canopy; canopy nitrogen weight; corn; crops; economic impact; farmers; fertilizer application; image analysis; machine learning; multispectral imagery; nitrogen; nitrogen fertilizers; nitrogen management; Ontario; plant growth; precision agriculture; processing time; Random Forests; regression analysis; remote sensing; support vector machines; Unmanned Aerial Vehicle (UAV); unmanned aerial vehicles; vegetation index; water supply; Ontario