Login | Register
Kazakh National Agrarian Research University ISSN 2304-3334 (Print)  ·  ISSN 2304-3334 (Online)
submit an article
Menu
submit an article
AGRICULTURE MECHANIZATION AND ELECTRIFICATION

SUBSTANTIATION OF THE METHOD FOR DETERMINING THE QUALITY INDICATORS OF APPLE FRUITS USING MACHINE VISION

A.N. Nurtuleuov 1 , A.K. Moldazhanov 1 , A.T. Kulmakhambetova * 2 , D.A. Zinchenko 1

1 Kazakh National Agrarian Research University; 2 Казахский национальный аграрный исследовательский университет

doi.org/10.37884/4-2021/11 pp. 95-106 Admitted 14.03.2022 Published 30.12.2021

Abstract

The article discusses the justification of methods and algorithms for determining the quality indicators of apples using machine vision for further sorting them into categories. The main quality indicators according to the standards are its appearance (color), size (magnitude), weight and shape.

To study the operability of the algorithm and the program for obtaining and processing images, as well as calculating its characteristic features for evaluating quality indicators, an experimental automated installation (AU) was developed and manufactured, the main components of which are an optical camera, a strain gauge sensor and a Raspberry Pi4 microcomputer on the basis of which this installation was created.

As a result of the research, it was found that the most modern and relevant solution is to determine the basic quality standards by automating the sorting process using optoelectronic methods, namely using machine vision tools.

The results of statistical processing showed that the values of the diameters during manual measurement and measurement on the AU slightly differ, the values of the mass of apples during manual weighing on the scales and measured on the AU by an automated method practically coincide, the relative error does not exceed 0.8%. The great advantage of using machine vision in determining the quality indicators of apples is that there is a more accurate way to determine the proportion of the color of apples, and this indicator is one of the most important quality indicators that affects the selling value.

apple, algorithm, program, experiment, indicators, statistics, automation, installation, machine vision, exciting device.

01 Introduction

The full text of the article is available for download in PDF format on the right panel.

02 References

  1. 1. «An indirect approach for egg weight sorting using image processing» Alikhanov, J., Penchev, S.M., Georgieva, T.D., Moldazhanov, A., Shynybay, Z., Daskalov, P.I. - Источник: Scopus.
  2. 2. «Результаты исследований автоматизированной установки для определения показателей качества яиц» - Алиханов Д.М., Молдажанов А.К., Кулмахамбетова А.Т., Шыныбай Ж.С. - Алматы, 2019.Источник - Ізденістер, № 2 исследования, нəтижелер 2019 результаты.
  3. 3. ГОСТ 34314-2017 Яблоки свежие, реализуемые в розничной торговле. Технические условия.
  4. 4. https://docs.opencv.org/4.x/d7/d4d/tutorial_py_thresholding.html
  5. 5. https://robotclass.ru/tutorials/opencv-python-find-contours/
  6. 6. ГОСТ 27572-2017 Яблоки свежие для промышленной переработки.
  7. 7. Adel A. Kader, Sonya Rosa Rolle, 2004. The role of post-harvest management in assuring the quality and safety of horticultural produce. FAO Agricultural Services Bulletin no.152.
  8. 8. Căsăndroiu T., 1998. Processes and machinery for sorting potatoes, fruit and vegetables. PAIDEIA Publishing, Bucharest.
  9. 9. Gheorghe A., 1979. Maintaining the quality of fresh fruits and vegetables. Ed.Tehnica, Bucharest. Э.
  10. 10. Калинин В,. Python для сложных задач. Наука о данных и машинное обучение. Изд: Питер. С- 576, ISBN 978-5-4461-0914-2, 978-5-496 -03068-748

Citation Links

[1]2021. SUBSTANTIATION OF THE METHOD FOR DETERMINING THE QUALITY INDICATORS OF APPLE FRUITS USING MACHINE VISION. Izdenister natigeler. 4 (92) (Dec. 2021), 95–106. DOI:https://doi.org/10.37884/4-2021/11.
(1)SUBSTANTIATION OF THE METHOD FOR DETERMINING THE QUALITY INDICATORS OF APPLE FRUITS USING MACHINE VISION. Izdenister natigeler 2021, No. 4 (92), 95-106. https://doi.org/10.37884/4-2021/11.
SUBSTANTIATION OF THE METHOD FOR DETERMINING THE QUALITY INDICATORS OF APPLE FRUITS USING MACHINE VISION. (2021). Izdenister Natigeler, 4 (92), 95-106. https://doi.org/10.37884/4-2021/11
SUBSTANTIATION OF THE METHOD FOR DETERMINING THE QUALITY INDICATORS OF APPLE FRUITS USING MACHINE VISION. Izdenister natigeler, [S. l.], n. 4 (92), p. 95–106, 2021. DOI: 10.37884/4-2021/11. Disponível em: https://kazvetjournal.kaznaru.edu.kz/index.php/research/article/view/70. Acesso em: 15 sep. 2026.
“SUBSTANTIATION OF THE METHOD FOR DETERMINING THE QUALITY INDICATORS OF APPLE FRUITS USING MACHINE VISION”. 2021. Izdenister Natigeler, no. 4 (92) (December): 95-106. https://doi.org/10.37884/4-2021/11.
“SUBSTANTIATION OF THE METHOD FOR DETERMINING THE QUALITY INDICATORS OF APPLE FRUITS USING MACHINE VISION” (2021) Izdenister natigeler, (4 (92), pp. 95–106. doi:10.37884/4-2021/11.
[1]“SUBSTANTIATION OF THE METHOD FOR DETERMINING THE QUALITY INDICATORS OF APPLE FRUITS USING MACHINE VISION”, Izdenister natigeler, no. 4 (92), pp. 95–106, Dec. 2021, doi: 10.37884/4-2021/11.
“SUBSTANTIATION OF THE METHOD FOR DETERMINING THE QUALITY INDICATORS OF APPLE FRUITS USING MACHINE VISION”. Izdenister Natigeler, no. 4 (92), Dec. 2021, pp. 95-106, https://doi.org/10.37884/4-2021/11.
“SUBSTANTIATION OF THE METHOD FOR DETERMINING THE QUALITY INDICATORS OF APPLE FRUITS USING MACHINE VISION”. Izdenister natigeler, no. 4 (92) (December 30, 2021): 95–106. Accessed September 15, 2026. https://kazvetjournal.kaznaru.edu.kz/index.php/research/article/view/70.
1.SUBSTANTIATION OF THE METHOD FOR DETERMINING THE QUALITY INDICATORS OF APPLE FRUITS USING MACHINE VISION. Izdenister natigeler [Internet]. 2021 Dec. 30 [cited 2026 Sep. 15];(4 (92):95-106. Available from: https://kazvetjournal.kaznaru.edu.kz/index.php/research/article/view/70
1.SUBSTANTIATION OF THE METHOD FOR DETERMINING THE QUALITY INDICATORS OF APPLE FRUITS USING MACHINE VISION. Izdenister natigeler. 2021;(4 (92):95-106. doi:10.37884/4-2021/11