New approach for rapid estimation of leaf nitrogen, phosphorus, and potassium contents in apple-trees using Vis/NIR spectroscopy based on wavelength selection coupled with machine learning.
Rahim AzadniaAli RajabipourBahareh JamshidiMahmoud OmidPublished in: Comput. Electron. Agric. (2023)
Keyphrases
- vis nir
- machine learning
- infrared
- spectral data
- decision trees
- least squares support vector machine
- pattern recognition
- machine learning algorithms
- leaf nodes
- learning algorithm
- model selection
- parameter estimation
- active learning
- least squares
- machine learning methods
- principal components
- data mining
- artificial neural networks