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97481

EVALUATION THE PERFORMANCE OF HYPERSPECTRAL REFLECTANCE SENSOR FOR ESTIMATING THE HARDNESS AND BIOCHEMICAL PARAMETERS OF TOMATO FRUITS

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Last updated: 26 Dec 2024

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Processing Engineering of Agricultural Products

Abstract

Mechanical and biochemical analysis for assessing tomato fruit quality in food processing are the traditional methods, which leads to the destruction of fruits and is time consuming. Similarly, for valuating large quantities of tomato fruits for export, numerous observations are required to characterize them; such methods cannot easily account for rapid changes in these parameters. In this study the performance of hyperspectral passive reflectance sensing at various ripening degrees of tomato fruits was test  its relationship to hardness, fruit water content, soluble solids content percentage, titratable acidity and pH via simple linear regression analysis. The results showed that statistically significant relationships between all spectral reflectance indices derived from near infrared (NIR) with measured parameters were found. The spectral index R1000/R716, showed the highest coefficients of determination for the hardness of tomato (R2 = 0.85***), the spectral index R970/R964, showed the highest coefficients of determination for the fruit water content (R2= 0.70***), soluble solids content (R2= 0.86***) and titratable acidity (R2= 0.82***) as well as the spectral index R970/R726, showed the highest coefficients of determination for the titratable acidity (R2= 0.78***) of tomato fruits. In conclusion, the using of spectral sensing may open an avenue in post-harvest and food processing for fast, high-throughput assessments mechanical and biochemical of tomato fruits.

DOI

10.21608/mjae.2017.97481

Authors

First Name

S.

Last Name

Elsayed

MiddleName

-

Affiliation

Assoc. Prof. of Agric. Eng., Evaluation of Natural Resources Department, Environmental Studies and Research Institute, Sadat City University, Egypt.

Email

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City

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Orcid

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First Name

M. I.

Last Name

Ghazy

MiddleName

-

Affiliation

Lecturer of Agric. Eng., Faculty of Agric., Mansoura University, Egypt.

Email

-

City

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Orcid

-

Volume

34

Article Issue

3

Related Issue

14723

Issue Date

2017-07-01

Receive Date

2020-06-21

Publish Date

2017-07-01

Page Start

1,389

Page End

1,408

Print ISSN

1687-384X

Online ISSN

2636-3062

Article File

MJAE_Volume 34_Issue 3_Pages 1389-1408.pdf

PDF . 1.1MB

Link

https://mjae.journals.ekb.eg/article_97481.html

Detail API

https://mjae.journals.ekb.eg/service?article_code=97481

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16

Type

Original Article

Type Code

1,326

Publication Type

Journal

Publication Title

Misr Journal of Agricultural Engineering

Publication Link

https://mjae.journals.ekb.eg/

MainTitle

EVALUATION THE PERFORMANCE OF HYPERSPECTRAL REFLECTANCE SENSOR FOR ESTIMATING THE HARDNESS AND BIOCHEMICAL PARAMETERS OF TOMATO FRUITS

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Article

Created At

23 Jan 2023