13 February 2018 Smartphone-based grading of apple quality
Author Affiliations +
Abstract
Apple quality grading is a critical issue in apple industry which is one economical pillar of many countries. Artificial grading is inefficient and of poor accuracy. Here we proposed to develop a portable, convenient, real-time, and low cost method aimed at grading apple. Color images of the apples were collected with a smartphone and the grade of sampled apple was assessed by a customized smartphone app, which offered the functions translating RGB color values of the apple to color grade and translating the edge of apple image to weight grade. The algorithms are based on modeling with a large number of apple image at different grades. The apple grade data evaluated by the smartphone are in accordance with the actual data. This study demonstrated the potential of smart phone in apple quality grading/online monitoring at gathering and transportation stage for apple industry.
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xianglin Li, Ting Li, "Smartphone-based grading of apple quality", Proc. SPIE 10485, Optics and Biophotonics in Low-Resource Settings IV, 1048514 (13 February 2018); doi: 10.1117/12.2287372; https://doi.org/10.1117/12.2287372
PROCEEDINGS
6 PAGES


SHARE
RELATED CONTENT

A review of RGB LED based mixed color illumination system...
Proceedings of SPIE (September 27 2016)
Smartphone-based assessment of blood alteration severity
Proceedings of SPIE (February 13 2018)
Strokes-matting method based on sample search
Proceedings of SPIE (June 08 2012)
Physics-based models for early vision by machine
Proceedings of SPIE (August 01 1990)
Shape of cutting chip monitoring system based on LabVIEW
Proceedings of SPIE (February 08 2005)

Back to Top