Dynamic Weighing Signal Denoising Approach Based on Convolutional Denoising Autoencoders: A Novel Rapid Weight Determination for Egg Sorting Machines

İsmail Yabanova; Zekeriya Balcı; Mehmet Yumurtacı; Tarık Ünler

doi:10.15832/ankutbd.1865263

Dynamic Weighing Signal Denoising Approach Based on Convolutional Denoising Autoencoders: A Novel Rapid Weight Determination for Egg Sorting Machines

Abstract

With the increasing scale of industrial egg production, rapid and precise weight classification has become a technical necessity. While dynamic weighing systems are employed to maintain high production speeds, load cell signals in these systems are significantly corrupted by mechanical vibrations and environmental noise, compromising measurement accuracy. This study proposes a Convolutional Denoising Autoencoder (CDAE)-based approach to effectively filter these dynamic weighing signals and ensure accurate classification. The performance of the proposed method was evaluated and compared against traditional filtering techniques, specifically Discrete Wavelet Transform (DWT) and Moving Average Filter (MAF). The results demonstrate that the CDAE-based model provides superior noise reduction, enabling faster and more stable weight determination compared to conventional methods. By addressing the limitations of traditional filters in high-speed environments, this study offers a robust artificial intelligence-based solution to the precision dynamic weighing challenges encountered in the food industry.

Keywords

References

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Details

Primary Language

English

Subjects

Artificial Intelligence (Other), Agricultural Machine Systems, Agricultural Machines

Journal Section

Research Article

Authors

İsmail Yabanova ^*
0000-0001-8075-3579
Türkiye

Zekeriya Balcı
0000-0002-1389-1784
Türkiye

Mehmet Yumurtacı
0000-0001-8528-9672
Türkiye

Tarık Ünler
0000-0002-2658-1902
Türkiye

Publication Date

October 12, 2026

Submission Date

January 16, 2026

Acceptance Date

May 6, 2026

Published in Issue

Year 2026 Volume: 32 Number: 4

DOI

https://doi.org/10.15832/ankutbd.1865263

IZ

https://izlik.org/JA23NJ53HC

Cite

RIS / Bibtex

APA

Yabanova, İ., Balcı, Z., Yumurtacı, M., & Ünler, T. (2026). Dynamic Weighing Signal Denoising Approach Based on Convolutional Denoising Autoencoders: A Novel Rapid Weight Determination for Egg Sorting Machines. Journal of Agricultural Sciences, 32(4), 953-966. https://doi.org/10.15832/ankutbd.1865263

AMA

1.Yabanova İ, Balcı Z, Yumurtacı M, Ünler T. Dynamic Weighing Signal Denoising Approach Based on Convolutional Denoising Autoencoders: A Novel Rapid Weight Determination for Egg Sorting Machines. J Agr Sci-Tarim Bili. 2026;32(4):953-966. doi:10.15832/ankutbd.1865263

Chicago

Yabanova, İsmail, Zekeriya Balcı, Mehmet Yumurtacı, and Tarık Ünler. 2026. “Dynamic Weighing Signal Denoising Approach Based on Convolutional Denoising Autoencoders: A Novel Rapid Weight Determination for Egg Sorting Machines”. Journal of Agricultural Sciences 32 (4): 953-66. https://doi.org/10.15832/ankutbd.1865263.

EndNote

Yabanova İ, Balcı Z, Yumurtacı M, Ünler T (October 1, 2026) Dynamic Weighing Signal Denoising Approach Based on Convolutional Denoising Autoencoders: A Novel Rapid Weight Determination for Egg Sorting Machines. Journal of Agricultural Sciences 32 4 953–966.

IEEE

[1]İ. Yabanova, Z. Balcı, M. Yumurtacı, and T. Ünler, “Dynamic Weighing Signal Denoising Approach Based on Convolutional Denoising Autoencoders: A Novel Rapid Weight Determination for Egg Sorting Machines”, J Agr Sci-Tarim Bili, vol. 32, no. 4, pp. 953–966, Oct. 2026, doi: 10.15832/ankutbd.1865263.

ISNAD

Yabanova, İsmail - Balcı, Zekeriya - Yumurtacı, Mehmet - Ünler, Tarık. “Dynamic Weighing Signal Denoising Approach Based on Convolutional Denoising Autoencoders: A Novel Rapid Weight Determination for Egg Sorting Machines”. Journal of Agricultural Sciences 32/4 (October 1, 2026): 953-966. https://doi.org/10.15832/ankutbd.1865263.

JAMA

1.Yabanova İ, Balcı Z, Yumurtacı M, Ünler T. Dynamic Weighing Signal Denoising Approach Based on Convolutional Denoising Autoencoders: A Novel Rapid Weight Determination for Egg Sorting Machines. J Agr Sci-Tarim Bili. 2026;32:953–966.

MLA

Yabanova, İsmail, et al. “Dynamic Weighing Signal Denoising Approach Based on Convolutional Denoising Autoencoders: A Novel Rapid Weight Determination for Egg Sorting Machines”. Journal of Agricultural Sciences, vol. 32, no. 4, Oct. 2026, pp. 953-66, doi:10.15832/ankutbd.1865263.

Vancouver

1.İsmail Yabanova, Zekeriya Balcı, Mehmet Yumurtacı, Tarık Ünler. Dynamic Weighing Signal Denoising Approach Based on Convolutional Denoising Autoencoders: A Novel Rapid Weight Determination for Egg Sorting Machines. J Agr Sci-Tarim Bili. 2026 Oct. 1;32(4):953-66. doi:10.15832/ankutbd.1865263