Plant Counting of Cotton from UAS Imagery Using Deep Learning-Based Object Detection Framework - Oh, Sungchan; Chang, Anjin; Ashapure, Akash; Jung, Jinha; Dube, Nothabo; Maeda, Murilo; Gonzalez, Daniel; Landivar, Juan (Remote sensing (Basel, Switzerland), 2020)
Keywords: agriculture; algorithms; automation; canopy; China; cotton; data collection; detection; geometry; information; labor; lighting; measurement; photogrammetry; plant count; plant population assessment; planting; population; remote sensing; seedlings; unmanned aerial vehicles; unmanned aircraft systems; variability; China