Preprint Article Version 1 This version is not peer-reviewed

Digital Methodology for Determining the Main Physical Parameters of Apple Fruits

Jakhfer Alikhanov
,
Aidar Moldazhanov
ORCID logo ,
Akmaral Kulmakhambetova
,
Dimitriy Zinchenko
ORCID logo ,
Alisher Nurtuleuov
ORCID logo ,
Zhandos Shynybay
,
Tsvetelina Georgieva
ORCID logo ,
Plamen Daskalov
* ORCID logo
Version 1 : Received: 24 September 2024 / Approved: 24 September 2024 / Online: 24 September 2024 (17:01:35 CEST)

How to cite: Alikhanov, J.; Moldazhanov, A.; Kulmakhambetova, A.; Zinchenko, D.; Nurtuleuov, A.; Shynybay, Z.; Georgieva, T.; Daskalov, P. Digital Methodology for Determining the Main Physical Parameters of Apple Fruits. Preprints 2024, 2024091949. https://doi.org/10.20944/preprints202409.1949.v1 Alikhanov, J.; Moldazhanov, A.; Kulmakhambetova, A.; Zinchenko, D.; Nurtuleuov, A.; Shynybay, Z.; Georgieva, T.; Daskalov, P. Digital Methodology for Determining the Main Physical Parameters of Apple Fruits. Preprints 2024, 2024091949. https://doi.org/10.20944/preprints202409.1949.v1

Abstract

This paper presents the validation of a numerical method for quantifying the physical quality parameters of apples through a comparative analysis with a traditional measurement method. The numerical method was applied to determine the parameters of batches of Kazakh apples according to standard requirements, using image analysis of apples. Five common varieties of Kazakh apples were selected: Aport Alexander, Ainur, Sinap Almatynski, Nursat and Kazakhski Yubileinyi. The geometric parameters of the apples and the percentage of red in the images were determined. The parameters of the 5 apple varieties were processed and measured both manually and digitally, revealing a close agreement between the obtained values. The developed digital method achieved high accuracy in determining the (diameters (d) and (D) in two perpendicular planes and height (h) of each apple), with maximum relative errors of 2.99% for (d), 3.03%, and 4.12% for the (h), and (D) parameters, respectively. Regression models were developed to determine and predict the mass and volume of apples via the digital method. The best results for the apple weight prediction were obtained for Sinap Almatynski variety by stepwise linear regression, and for the apple volume prediction were obtained for Nursat variety by linear regression. Regression equations for mass, volume and geometric dimensions constitute the basis for the development of a small instrument for automatically sorting apples by commercial variety.

Keywords

apple; fruit; variety; apple physical parameters; methodology; digital method

Subject

Engineering, Control and Systems Engineering

Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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