Share Email Print
cover

Proceedings Paper • new

Smartphone-based grading of apple quality
Author(s): Xianglin Li; Ting Li
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper 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.

Paper Details

Date Published: 13 February 2018
PDF: 6 pages
Proc. SPIE 10485, Optics and Biophotonics in Low-Resource Settings IV, 1048514 (13 February 2018); doi: 10.1117/12.2287372
Show Author Affiliations
Xianglin Li, Univ. of Electronic Science and Technology of China (China)
Ting Li, Peking Union Medical College (China)


Published in SPIE Proceedings Vol. 10485:
Optics and Biophotonics in Low-Resource Settings IV
David Levitz; Aydogan Ozcan; David Erickson, Editor(s)

© SPIE. Terms of Use
Back to Top