Above-Ground Biomass Prediction for Croplands at a Sub-Meter Resolution Using UAV-LiDAR and Machine Learning Methods.
Jaime C. RevengaKaterina TrepekliStefan OehmckeRasmus JensenLei LiChristian IgelFabian GiesekeThomas FriborgPublished in: Remote. Sens. (2022)
Keyphrases
- machine learning methods
- machine learning
- machine learning algorithms
- high resolution
- ensemble methods
- prediction model
- prediction accuracy
- machine learning approaches
- prediction algorithm
- statistical methods
- neural network
- prediction error
- definite clause
- unmanned aerial vehicles
- path planning
- decision trees
- lidar data
- data mining