Year 2020, Volume 26 , Issue 3, Pages 339 - 348 2020-09-04

Non-destructive Estimation of Chlorophyll a Content in Red Delicious Apple Cultivar Based on Spectral and Color Data

Yousef ABBASPOUR-GİLANDEH [1] , Sajad SABZİ [2] , Farzad AZADSHAHRAKİ [3] , Rouhollah KARİMZADEH [4] , Elham ILBEYGİ [5] , Juan IGNACİO ARRİBAS [6]

Non-destructive estimation of the chemical properties of fruit is an important goal of researchers in the food industry, since online operations, such as fruit packaging based on the amount of different chemical properties and determining different stages of handling, are done based on these estimations. In this study, chlorophyll a content in Red Delicious apple cultivar is predicted as a chemical property that is altered by apple ripening stage, using non-destructive spectral and color methods combined. Two artificial intelligence methods based on hybrid Multilayer Perceptron Neural Network - Artificial Bee Colony Algorithm (ANN-ABC) and Partial least squares regression (PLSR) were used in order to obtain a non-destructive estimation of chlorophyll a content. In application of the PLSR method, various pre-processing algorithms were used. In order to statistically properly validate the hybrid ANN-ABC predictive method, 20 runs were performed. Results showed that the best regression coefficient of the PLSR method in predicting chlorophyll a content using spectral data alone was 0.918. At the same time, the average determination coefficient over 20 repetitions in hybrid ANN-ABC in the estimation of chlorophyll a content, using spectral data and color features were higher than 0.92±0.040 and 0.89±0.045, respectively, which to our knowledge is a remarkable non-intrusive estimation result.

Spectroscopy, Color features, Non-destructive estimation, Artificial neural network, Regression, Metaheuristic algorithms
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Primary Language en
Subjects Engineering
Journal Section Makaleler

Orcid: 0000-0002-9999-7845
Institution: University of Mohaghegh Ardabili
Country: Iran

Orcid: 0000-0003-2439-5329
Author: Sajad SABZİ
Institution: University of Mohaghegh Ardabili
Country: Iran

Orcid: 0000-0002-7261-7849
Institution: Education and Extension Organization (AREEO)
Country: Iran

Orcid: 0000-0001-6646-6274
Author: Rouhollah KARİMZADEH
Institution: Shahid Beheshti University
Country: Iran

Orcid: 0000-0002-2466-3201
Author: Elham ILBEYGİ
Institution: Shahid Beheshti University
Country: Iran

Orcid: 0000-0002-7486-6152
Institution: University of Valladolid
Country: Spain


Application Date : February 6, 2019
Acceptance Date : May 18, 2019
Publication Date : September 4, 2020

EndNote %0 Journal of Agricultural Sciences Non-destructive Estimation of Chlorophyll a Content in Red Delicious Apple Cultivar Based on Spectral and Color Data %A Yousef Abbaspour-gi̇landeh , Sajad Sabzi̇ , Farzad Azadshahraki̇ , Rouhollah Kari̇mzadeh , Elham Ilbeygi̇ , Juan Ignaci̇o Arri̇bas %T Non-destructive Estimation of Chlorophyll a Content in Red Delicious Apple Cultivar Based on Spectral and Color Data %D 2020 %J Journal of Agricultural Sciences %P -2148-9297 %V 26 %N 3 %R doi: 10.15832/ankutbd.523574 %U 10.15832/ankutbd.523574