Cell phone-based two-dimensional spectral analysis for banana ripeness estimation

被引:73
|
作者
Intaravanne, Yuttana [2 ,3 ]
Sumriddetchkajorn, Sarun [1 ]
Nukeaw, Jiti [2 ]
机构
[1] Natl Sci & Technol Dev Agcy, Natl Elect & Comp Technol Ctr, Intelligent Devices & Syst Res Unit, Klongluang 12120, Pathumthani, Thailand
[2] King Mongkuts Inst Technol Ladkrabang, Coll Nanotechnol, Bangkok 10520, Thailand
[3] Natl Sci & Technol Dev Agcy, Natl Elect & Comp Technol Ctr, Photon Technol Lab, Klongluang 12120, Pathumthani, Thailand
来源
关键词
Ripeness estimation; Non-destructive analysis; Spectral analysis; Banana; Image processing; Optical sensors; Mobile phone; CREDIT CARD VERIFIER; QUALITY;
D O I
10.1016/j.snb.2012.04.042
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
It is known that when green fruits such as bananas and mangoes grow from the immature to the ripe stages, their color changes from green to yellow. However, once the green fruits are yellow, iris difficult to classify them into the ripe and the overripe stages. Here, we propose and experimentally demonstrate for the first time a two-dimensional banana ripeness level sensor by using a cell phone. Our key approach relies on simultaneous analysis of two broad-spectral images of the banana under white light and ultraviolet illuminations. Particularly, our selected color ratios from these two broad-spectral images are used for spatially and specifically classifying the whole banana into immature, ripe, and overripe zones. Experimental proof of concept using a smart mobile phone is highlighted, featuring fast response, portability, and ease of implementation. (C) 2012 Elsevier B.V. All rights reserved.
引用
收藏
页码:390 / 394
页数:5
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