Assessment of In-Season Cotton Nitrogen Status and Lint Yield Prediction from Unmanned Aerial System Imagery.
Carlos Ballester LurbeJohn HornbuckleJames BrinkhoffJohn SmithWendy QuaylePublished in: Remote. Sens. (2017)
Keyphrases
- prediction accuracy
- aerial imagery
- computer vision
- prediction error
- image data
- prediction model
- image processing
- lidar data
- path planning
- aerial video
- high resolution
- man made
- current status
- body mass index
- machine learning
- laser radar
- remote sensing data
- dynamic environments
- video sequences
- multiscale
- social networks
- genetic algorithm