Honey Quality Predictions Based on Vis-NIR Laser Diffuse Reflectance Image

Abstract:

Based on machine version and laser image analysis, the lasers with wavelength of 980 nm, 938 nm, and 780 nm were used to detect the water and soluble solids content (SSC) of honey samples. In the course of the experiment, an image acquisition platform was designed to collect the images formed on the surface of each honey sample, and the image processing software was used to extract the images feature parameters. The results showed that the models based on mean value of intensities had the r value of 0.4268 for water and 0.3882 for SSC, the model based on the frequency of intensities had the r value of 0.6465 for water and 0.6226 for SSC, the model of the frequency of intensities had the r value of 0.7061 for water and 0.7083 for SSC after correction, which demonstrated that the laser image technology had potential to detect the quality of honey.

• Periodical: Applied Mechanics and Materials (Volumes 195-196)
• Pages: 1321-1326
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.195-196.1321
• Online since: August 2012
• Authors: Hong Qian Chen, Zhao Shen Qing, Da Zhou Zhu, Zhen Hua Tu, Chao Ying Meng
• Keywords: Honey, Image, Laser, Near-Infrared

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