Sugarcane yields prediction at the row level using a novel cross-validation approach to multi-year multispectral images.
Sharareh AkbarianChengyuan XuWeijin WangStephen GinnsSamsung LimPublished in: Comput. Electron. Agric. (2022)
Keyphrases
- cross validation
- multispectral images
- model selection
- multispectral
- support vector
- generalization error
- hyperparameters
- prediction accuracy
- remote sensing images
- cross validated
- multispectral image segmentation
- error estimates
- information criterion
- color images
- training set
- fusion method
- unseen data
- parameter estimation
- nearest neighbor classifiers
- remote sensing
- satellite images
- edge information
- neural network
- prediction model
- image registration
- feature extraction