Research and Application Validation of a Feature Wavelength Selection Method Based on Acousto-Optic Tunable Filter (AOTF) and Automatic Machine Learning (AutoML)

Research and Application Validation of a Feature Wavelength Selection Method Based on Acousto-Optic Tunable Filter (AOTF) and Automatic Machine Learning (AutoML)

Near-infrared spectroscopy has been widely applied in various fields such as food analysis and agricultural testing. However, the conventional method of scanning the full spectrum of the sam-ple and then invoking the model to analyze and predict results has a large amount of collected data, redundan...

Full description

Bibliographic Details
Main Authors: Gui, Y. (Author), He, Z. (Author), Ji, Z. (Author), Li, J. (Author), Tan, Y. (Author), Wang, J. (Author), Wu, B. (Author), Xu, R. (Author)
Format: Article
Language:English
Published: MDPI 2022
Subjects:
Acoustooptic tunable filters (AOTF)
AOTF
Automatic machine learning
Automatic machines
AutoML
Detection system
Feature extraction
feature wavelength selection
Feature wavelength selection
Infrared detection
Infrared devices
Machine learning
Machine-learning
Near Infrared
near infrared detection system
Near infrared detection system
Near infrared spectroscopy
Near-infrared
Wavelength selection
Online Access:View Fulltext in Publisher

Internet

View Fulltext in Publisher

Similar Items