Tomato separation conveyor based on color and weight using microcontroller

Authors

  • Natasya Rahalia Dinda Department of Electrical Engineering, Faculty of Engineering, Universitas Negeri Padang Author
  • Doni Tri Putra Yanto Author

DOI:

https://doi.org/10.24036/r4jtc628

Keywords:

Tomato , Coveyor , DC motor

Abstract

Indonesia, as an agricultural country, has great potential in the agricultural sector, including horticultural commodities such as tomatoes. Post-harvest tomato processing, such as sorting by color and weight, is often done manually, leading to inefficiency and the potential for human error. This research aims to design and build a microcontroller-based tomato sorting conveyor to improve efficiency and product quality. This system utilizes a color sensor to identify the ripeness of tomatoes and a weight sensor to measure their weight. The microcontroller acts as the main controller, processing data from the sensors, making decisions, and regulating the conveyor mechanism to separate the tomatoes into the appropriate lanes. This research is expected to overcome the inefficiency problem in the manual tomato sorting process. With automatic separation by color and weight, the time and labor required are reduced, thereby reducing operational costs. Furthermore, the use of a microcontroller to process data precisely can help ensure that sorted tomatoes meet the desired quality standards. The results of this research are expected to contribute to the development of microcontroller-based technology in agriculture and serve as a reference for further research

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References

[1] S. Widiyanto, D. T. Wardani and S. Wisnu Pranata, "Image-Based Tomato Maturity Classification and Detection Using Faster R-CNN Method," 2021 5th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT), Ankara, Turkey, 2021, pp. 130-134, doi: 10.1109/ISMSIT52890.2021.9604534.

[2] L. Zhang, and M. McCarthy, “Measurement and evaluation of tomato maturity using magnetic resonance imaging,” Postharvest Biology and Technology, vol. 67, pp. 37–43, 2012.

[3] S. Tanvashi et al., "Integration of Computer Vision and 4DOF SCARA Robot Arm for Tomato Sorting," 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT), Kamand, India, 2024, pp. 1-6, doi: 10.1109/ICCCNT61001.2024.10724623.

[4] S. R. Rupanagudi, B. S. Ranjani, P. Nagaraj and V. G. Bhat, “A cost effective tomato maturity grading system using image processing for farmers,” 2014 International Conference on Contemporary Computing and Informatics (IC3I), Mysore, India, 2014, pp. 7–12, doi: 10.1109/IC3I.2014.7019591.

[5] W. Han, W. Hao, J. Sun, Y. Xue and W. Li, "Tomatoes Maturity Detection Approach Based on YOLOv5 and Attention Mechanisms," 2022 IEEE 4th International Conference on Civil Aviation Safety and Information Technology (ICCASIT), Dali, China, 2022, pp. 1363-1371, doi: 10.1109/ICCASIT55263.2022.9986640.

[6] S. G. E. Brucal, L. C. M. de Jesus and L. A. Samaniego, "Development of a Localized Tomato Leaf Disease Detection using YoloV9 Model via RoboFlow 3.0," 2024 IEEE 13th Global Conference on Consumer Electronics (GCCE), Kitakyushu, Japan, 2024, pp. 601-603, doi: 10.1109/GCCE62371.2024.10760343.

[7] M. Yuhendri, E. Mirshad, and A. R. Sidiqi, “Real-time Control of Separately Excited DC Motor Based on Fuzzy PI System Using Arduino,” Przegląd Elektrotechniczny, vol. 2024, no. 10, pp. 123–127, 2024, doi: 10.15199/48.2024.10.22.

[8] V. V. Rankovska, "Review of Open-source Microcontroller and Programmable Logic Development Boards," 2021 XXX International Scientific Conference Electronics (ET), Sozopol, Bulgaria, 2021, pp. 1-4, doi: 10.1109/ET52713.2021.9580150.

[9] V. V. Rankovska and G. D. Goranov, "PIC Microcontroller Module in a Flexible Microprocessor Development System," 2020 55th International Scientific Conference on Information, Communication and Energy Systems and Technologies (ICEST), Niš, Serbia, 2020, pp. 3-6, doi: 10.1109/ICEST49890.2020.9232775.

[10] H. Kareem and D. Dunaev, "The Working Principles of ESP32 and Analytical Comparison of using Low-Cost Microcontroller Modules in Embedded Systems Design," 2021 4th International Conference on Circuits, Systems and Simulation (ICCSS), Kuala Lumpur, Malaysia, 2021, pp. 130-135, doi: 10.1109/ICCSS51193.2021.9464217.

[11] B. K.N, D. M, D. D, G. K, J. S and M. M. M, "Design and Development of Automatic Tomato Sorting Intelligent System using Image Processing," 2022 International Conference on Automation, Computing and Renewable Systems (ICACRS), Pudukkottai, India, 2022, pp. 1085-1090, doi: 10.1109/ICACRS55517.2022.10029117.

[12] A. Amune, S. Shinde, A. Samargade, S. Suryawanshi, S. Suryawanshi and Y. Shirsat, "Tomato TriSort: Smart Sorting System for Size, Color, and Pest Detection," 2024 4th International Conference on Sustainable Expert Systems (ICSES), Kaski, Nepal, 2024, pp. 539-545, doi: 10.1109/ICSES63445.2024.10763361.

[13] J. F. Bautista, C. D. Oceña, M. J. Cabreros and S. P. L. Alagao, "Automated Sorter and Grading of Tomatoes using Image Analysis and Deep Learning Techniques," 2020 IEEE 12th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM), Manila, Philippines, 2020, pp. 1-6, doi: 10.1109/HNICEM51456.2020.9400055.

[14] J. Sadowski, “When data is capital: Datafication, accumulation, and extraction,” Big Data Soc., vol. 6, no. 1, pp. 1–12, 2019, doi: 10.1177/2053951718820549.

[15] J. R. Saura, B. R. Herraez, and A. Reyes-Menendez, “Comparing a traditional approach for financial brand communication analysis with a big data analytics technique,” IEEE Access, vol. 7, pp. 37100–37108, 2019, doi: 10.1109/ACCESS.2019.2905301.

[16] D. Z. Ting et al., "Type-II superlattice unipolar barrier infrared detectors," 2016 IEEE Photonics Conference (IPC), Waikoloa, HI, USA, 2016, pp. 466-467, doi: 10.1109/IPCon.2016.7831183.

[17] D. S. Alimova, I. P. Efimov and D. V. Kharkin, "Methods of Reducing the Intensity of Specular Reflections of LCD Modules for Aviation Applications," 2020 International Multi-Conference on Industrial Engineering and Modern Technologies (FarEastCon), Vladivostok, Russia, 2020, pp. 1-5, doi: 10.1109/FarEastCon50210.2020.9271468.

[18] B. Jeeva, J. R. S. Babu and M. Chitra, "Study of inter-integrated circuit color sensor with microcontroller," 2012 International Conference on Emerging Trends in Electrical Engineering and Energy Management (ICETEEEM), Chennai, India, 2012, pp. 1-5, doi: 10.1109/ICETEEEM.2012.6494433.

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Published

2025-06-01

How to Cite

Tomato separation conveyor based on color and weight using microcontroller. (2025). Journal of Industrial Automation and Electrical Engineering, 2(1), 74-79. https://doi.org/10.24036/r4jtc628

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