Gros Michel banana soluble solids content evaluation and maturity classification using a developed portable 6 channel NIR device measurement

•We develop a portable 6 digital channel NIR device for bananas quality testing.•The device can determine the banana soluble solids content.•We also propose the novel maturity classification to estimate shelf-life of banana.•This device can also potentially apply for universal fruit quality assessme...

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Bibliographic Details
Published in:Measurement : journal of the International Measurement Confederation 2021-03, Vol.173, p.108615, Article 108615
Main Authors: Sripaurya, Tanachart, Sengchuai, Kiattisak, Booranawong, Apidet, Chetpattananondh, Kanadit
Format: Article
Language:English
Subjects:
Algorithms
Banana
Bananas
Classification
Data analysis
Experiments
Fruits
Grading
Maturity
NIR
Portable equipment
Quality indices
Regression models
Ripening
Ripening classification
Solids
Standard error
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Summary:•We develop a portable 6 digital channel NIR device for bananas quality testing.•The device can determine the banana soluble solids content.•We also propose the novel maturity classification to estimate shelf-life of banana.•This device can also potentially apply for universal fruit quality assessment. In this paper, a portable 6-digital-channel NIR device was designed and implemented for predicting the quality of Gros Michel bananas and to classify them by maturity stage. Our device can be compared to the standard Brix refractometer in the % Brix form. Experimental results indicate that a predictive multiple linear regression model can efficiently determine the banana soluble solids content, with a standard error of estimate of 0.17% and a precision of 0.38% at the yellow stage. In addition, a novel classification of banana’s ripening is also proposed, and the results demonstrate that bananas can automatically and efficiently be classified by maturity level (i.e., to seven ripeness levels) with nearly 100% accuracy. Our approach demonstrated here can also potentially be applied more widely to fruit quality testing with a fundamental framework for future researches.
ISSN:0263-2241
1873-412X
DOI:10.1016/j.measurement.2020.108615