Quality Detection and Specie Identification of Apples Based on Multi-Spectral Imaging
This paper introduced an apple quality detection and specie identification system based on multi-spectral imaging. Under an international mixed light illumining, system can capture red, green and infrared images of apples at the same time. A software programmed based on Matlab 6.5.1 is used for image processing to complete the detection of quality and specie. According to processing results, the subtotals and classification are made into grading standards. These can be quickly and easily applied to the automation of agriculture fruit grading system. In the experiment, some most common apples including Fuji apple, Red delicious apples, Green apples, Gina Apple's were detected for quality and variety . Accuracy rate can be more than 90%.
Riza Esa and Yanwen Wu
C. X. Tang et al., "Quality Detection and Specie Identification of Apples Based on Multi-Spectral Imaging", Advanced Materials Research, Vols. 301-303, pp. 158-164, 2011