Methodology for Determining the Main Physical Parameters of Apples by Digital Image Analysis
Alikhanov J. Moldazhanov A. Kulmakhambetova A. Zinchenko D. Nurtuleuov A. Shynybay Z. Georgieva T. Daskalov P.
March 2025Multidisciplinary Digital Publishing Institute (MDPI)
AgriEngineering
2025#7Issue 3
This paper presents the validation of a digital image analysis method for the quantitative determination of physical quality parameters of apples by comparative analysis with a traditional measurement method. The method was used to determine the quality indicators of apples based on digital image analysis in accordance with standard requirements. Five popular apple varieties from Kazakhstan were selected for the study: Aport Alexander, Ainur, Sinap Almaty, Nursat and Kazakhskij Yubilejnyj. The parameters of the five apple varieties were measured both manually and digitally, which revealed close agreement between the obtained values. The analysis of the results of measuring the geometric parameters of the apples and the percentage of red color in the images was carried out. The maximum relative errors in determining the diameters (d, D) and height (h) were 2.99%, 3.03% and 4.12%, respectively. Regression models were developed to predict the weight and volume of apples. The best results in weight prediction were obtained for the Sinap Almatinsky variety using stepwise linear regression (R2 = 0.96), and volume prediction showed the best results for the Nursat variety (R2 = 0.92). This study lays the foundation for the development of automated systems for sorting apples by commercial varieties.
apple , apple physical parameters , digital image analysis , fruit , methodology , variety
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Department of Energy Saving and Automation, Kazakh National Agrarian Research University, 8 Abay St., Almaty, 050010, Kazakhstan
Department of Power Supply and Electric Drive, Almaty University of Power Engineering and Telecommunications named after Gumarbek Daukeyev (AUPET), Baitursynov St. office 126/1, Almaty, 050013, Kazakhstan
Department of Automatics and Electronics, University of Ruse, 8 Studentska St., Ruse, 7017, Bulgaria
Department of Energy Saving and Automation
Department of Power Supply and Electric Drive
Department of Automatics and Electronics
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