Development of a Color and Near-Infrared Hyperspectral Imaging System for Agricultural Applications
This project focuses on the development of a color and near-infrared hyperspectral imaging system, aimed at addressing postharvest challenges in agriculture, specifically for Vidalia sweet onions. Key components include an InGaAs sensor, LCTF, and specialized software for data analysis. Calibration methods are discussed to enhance system accuracy. Future work will target improvements in performance and sensor fusion with other technologies to broaden applications. The project is funded by the FoodPAC Grant and contributes to machine vision and NIR spectroscopy fields.
Development of a Color and Near-Infrared Hyperspectral Imaging System for Agricultural Applications
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Presentation Transcript
Development of a Color and Near-infrared Hyperspectral Imaging SystemWeilin Wang University of Georgia Tifton, GA, 31794 U.S.A Major professor: Changying Li NOV 17, 2009
Outline • Project Background • Hardware • Software • Calibration • Future work
Background • FoodPAC Grant • Vidalia Sweet Onions • Postharvest problems • Sensor/Data fusion • Machine Vision • NIR Spectroscopy • Multispectral Imaging
System Architecture • Multi-tier • Logically independent Schematic of LCTF-based hyperspectral imaging system
Hardware Setup • InGaAs sensor (SUI320KTS-1.7RT, Sensors Unlimited, US) • LCTF (Varispec LNIR, CRI, US) • Lens (Nikkor 50mm f/1.4 AF, Nikon, JP) • Color camera (Lifecam, Microsoft, US) • Four 10W TungstenHalogen Lamps (Brightscapes, Intermatic, US) • 950nm-1700nm Schematic of LCTF-based hyperspectral imaging system
Hardware Schematic Schematic of LCTF-based hyperspectral imaging system
Software • Labview 8.2 • ENVI 4.7 • IDL (Interactive Data Language)
Software Architecture Schematic of LCTF-based hyperspectral imaging system
Calibration • Errors introduced by every component • Lighting selection • MAKE IT FLAT!
Future work • Improve the performance of the system • Applications on Onions • Sensor fusion with other sensors
