Design and Build a Vaname Shrimp Sorting System Based on Image Processing
Rancang Bangun Sistem Sortir udang Vaname Berbasis Image Processing
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(1) * Miftachul Ulum
Trunojoyo University Madura
Indonesia
(2) Kunto Aji Wibisono Trunojoyo University Madura
Indonesia
(3) Haryanto Haryanto Trunojoyo University Madura
Indonesia
(4) Riza Alfita Trunojoyo University Madura
Indonesia
(5) Adi Kurniawan Saputra Trunojoyo University Madura
Indonesia
(*) Corresponding Author
Abstract
Vannamei shrimp is a species of shrimp that has high economic value. In the process of trading vaname shrimp, there are different price classes. Determination of the price class of vaname shrimp is based on the size of the shrimp. But in the post-harvest process, the sorting of vaname shrimp is still done manually, namely by placing the white shrimp on a flat table and then separating it by size so that it takes a long time and the level of accuracy of the sorting process also becomes imprecise, as is done by cultivating in the coastal area of Madura, this is due to the limitations of available shrimp post-harvest processing equipment. In addition, the limited supply of electrical energy for the coastal area of Madura is also another factor that hinders the post-harvest process of vanname shrimp. The purpose of this study is to design and create a vannamei shrimp sorting system based on image processing. In processing this shrimp image using the Background Subtraction method. The Background Subtraction method is used as a separator between the object and the background. The sorting process is based on the size detection of shrimp by using the blob detection algorithm. BLOB (Binary Large Object) detection is an image segmentation method based on region growing. The goal is to analyze textures specifically and accurately. Because blob detection distinguishes colors that have thin gradations. Based on the tests that have been carried out, the average accuracy of the system in sorting vannamei shrimp is in the range of 90%.
References
R. Kesvarakul, C. Chianrabutra, and S. Chianrabutra, “Baby shrimp counting via automated image processing,” ACM Int. Conf. Proceeding Ser., vol. Part F128357, pp. 352–356, 2017, doi: 10.1145/3055635.3056652. DOI: https://doi.org/10.1145/3055635.3056652
C. T. Yeh and M. C. Chen, “A combination of IoT and cloud application for automatic shrimp counting,” Microsyst. Technol., vol. 5, 2019, doi: 10.1007/s00542-019-04570-5. DOI: https://doi.org/10.1007/s00542-019-04570-5
R. Astuti, I. Ruslianto, J. Rekayasa, and S. Komputer, “Coding : Jurnal Komputer dan Aplikasi ISSN : 2338-493X Coding : Jurnal Komputer dan Aplikasi ISSN : 2338-493X,” vol. 08, no. 01, pp. 185–196, 2020.
A. F. Yana, “Implementasi Pengolahan Citra Digital Pada Penghitungan Anak Burung Puyuh Menerapkan Metode Blob,” J. Inf. Syst. Res., vol. 1, no. 4, pp. 237–245, 2020, [Online]. Available: http://ejurnal.seminar-id.com/index.php/josh/article/view/152.
I. Malik, W. Subachri, M. Yusuf, N. Ahyani, and C. Yusuf, “Better Management Practices Budidaya Udang Vannamei Tambak Semi Intensif dengan Instalasi Pengolahan Air LImbah (IPAL), Seri Panduan Perikanan Skala Kecil,” J. Akuakultur Indones., vol. 22, pp. 1–22, 2014, [Online]. Available: www.wwf.or.id.
Satria Caritasillah, Untung Sutoko, "Rancang Bangun Sistem Deteksi Ukuran Udang Vanname Dengan Metode Hitung Pixel”, Seminar Nasional Kelautan XIII, D3-63 – D3-69, 2018.
Cheng Chen, Qipeng chen, Chang Gao, Nan Zhang, Xuguang Wang, Yongjie Zhai, “Method of Blob detection based on radon transform”, 2018 Chinese Control And Decision Conference (CCDC), pp 5762 – 5767, 2018 DOI: https://doi.org/10.1109/CCDC.2018.8408138
A. Kadam, T. Kasar, S. Sonje dan S. Tavse, “Digital Control and Data Logging for Solar Power Plant Using Raspberry-Pi,” International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, vol. VII, no. 5, pp. 2329-2334, 2018.
E. Rachmat and M. Cahyanti, ALGORITMA TRANSFORMASI RUANG WARNA. Depok, 2010.
Guo Feng, Cao Qixin, “Study on Color Image Processing Based Intelligent Fruit Sorting System”, Proceedings of the 5" World Congress on Intelligent Control And Automation, pp 4802 – 4805, 2014
Copyright (c) 2022 Miftachul Ulum
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