Abstract
We report on a novel and comprehensive method to determine leaf wetness by using machine learning algorithms applied on transmission THz time-domain data of a vast set of moisture patterns. More generally, our approach opens ways to determine properties of materials with a complex structure for which a model-based signal processing approach is not feasible.
Original language | English |
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Title of host publication | IRMMW-THz 2022 - 47th International Conference on Infrared, Millimeter and Terahertz Waves |
Publisher | Institute of Electrical and Electronics Engineers |
Number of pages | 2 |
ISBN (Electronic) | 9781728194271 |
DOIs | |
Publication status | Published - 26 Sept 2022 |
Event | 47th International Conference on Infrared, Millimeter and Terahertz Waves, IRMMW-THz 2022 - Technical University Delft, Delft, Netherlands Duration: 28 Aug 2022 → 2 Sept 2022 Conference number: 47 https://www.irmmw-thz2022.tudelft.nl/ |
Conference
Conference | 47th International Conference on Infrared, Millimeter and Terahertz Waves, IRMMW-THz 2022 |
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Abbreviated title | IRMMW-THz |
Country/Territory | Netherlands |
City | Delft |
Period | 28/08/22 → 2/09/22 |
Internet address |