UV Hyperspectral Imaging with Xenon and Deuterium Light Sources: Integrating PCA and Neural Networks for Analysis of Different Raw Cotton Types
Mohammad Al Ktash, Mona Knoblich, Max Eberle, Frank Wackenhut, Marc Brecht, Alois Herkommer · 2024
Read UV Hyperspectral Imaging with Xenon and Deuterium Light Sources: Integrating PCA and Neural Networks for Analysis of Different Raw Cotton Types by Mohammad Al Ktash, Mona Knoblich, Max Eberle, Frank Wackenhut, Marc Brecht, Alois Herkommer (2024) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-11677917.txt.
Description
Mohammad Al Ktash and co-authors test a camera that reads light past the violet edge to sort types of raw cotton, in a 2024 study. Cotton grade rules much of cloth trade, and a fast, no-touch sort is worth a lot.
The team lit samples with two kinds of lamps and set the reads next to a near-infrared kit. A stats tool found the main axes of spread in the reads and grouped hemp, worn cotton, and farm-grown cotton apart from the rest. A sorting rule then named each type, and a small neural net did better still. The lamp with the deeper violet reach won on both tools. The reads could split farm-grown from standard cotton, tell hemp apart, and flag kinds of worn cotton.
Catalog record
| CREATOR | Mohammad Al Ktash, Mona Knoblich, Max Eberle, Frank Wackenhut, Marc Brecht, Alois Herkommer |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 44 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |