Hyperspectral imaging predicts macadamia nut-in-shell and kernel moisture using machine vision and learning tools.
Michael B. FarrarReza OmidvarJoel NicholsDaniele PellicciaSuhad Lateef Al-KhafajiIman TahmasbianNimanie S. HapuarachchiShahla Hosseini BaiPublished in: Comput. Electron. Agric. (2024)
Keyphrases
- machine vision
- learning tools
- hyperspectral imaging
- target detection
- learning experience
- remote sensing
- image processing
- hyperspectral
- quality control
- character recognition
- vision system
- hyperspectral images
- surface inspection
- hyperspectral imagery
- infrared
- kernel function
- mobile learning
- distance learning
- kernel methods
- hyperspectral data
- computer vision
- e learning
- real time
- false alarms
- video games
- multispectral
- online learning
- automated visual inspection