AUTOMATED TOOL FOR OLIVE COLOR RECOGNITION IN SORTING SYSTEM DEVELOPMENT

Roxana Mihaela BABANATIS-MERCE, Theoharis BABANATSAS, Dan Ovidiu GLAVAN, Andreea Ioana GLAVAN, Adina BUCEVSCHI, Marcello Calvete GASPAR

Abstract


In this paper we propose an olive color recognition software, and present its workflow and development. Our software is based on detection and classification of RGB color codes (Red, Green, and Blue) [1]. Based on the color we can determine the ripeness of the presented olives, which is an important step in the processing of olives in table olive or olive oil. The software has been developed in such a way that all spectrum colors can be recognized. Thus, giving many possibilities to use the software in the future, such as determining the level of ripeness in fruit and vegetables, the only condition being the change of the respective fruit or vegetable’s color in various stages of ripeness [2]. The software was focused on the olive sorting process; thus, the software is finetuned to recognize two colors with the corresponding shades.

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References


. Fu, LS., Gao, FF., Wu, JZ., Li, R., Karkee, M ., Zhang, Q. Application of consumer RGB-D cameras for fruit detection and localization in field: A critical review. Computers and Electronics in Agriculture Volume 177, 2020.

. Wittstruck, L., Kuhling, I., Trautz, D., Kohlbrecher, M., Jarmer, T. UAV-Based RGB Imagery for Hokkaido Pumpkin (Cucurbita max.) Detection and Yield Estimation. Jurnal Sensors, 2020

. Mnerie, D., Tucu, D., Anghel, G. V. , Slavici, T.. Study about integration capacity of systems for agro-food production. Actual tasks on agricultural engineering, proceedings. Book Series: Actual Tasks on Agricultural Engineering, vol. 36, Zagreb, 617-622, 2008.

. Tucu, D., Golimba, A.-G., Slavici, T.. Fuzzy methods in renewable energy optimization investments. Actual tasks on agricultural engineering, proceedings. Book Series: Actual Tasks on Agricultural Engineering, vol 38, Zagreb, 455-462, 2010.

. Therios, I.. Olives. Athens, Ed. Colums Design, 2014

. Camposeo, Vivaldi, G. A. and Gattullo, C. E.. Ripening indices and harvesting times of different olive cultivars for continuous harvest. Sci Hortic (Amsterdam) vol. 151, 2013.

. Serrano, M., Diaz-Mula, H.M. and Valera, D. Antioxidant compounds in fruits and vegetables and changes during postharvest storage and processing. Stewart Postharvest Review, v. 7, n. 1, 2011

. . Nusairat, J.E. Rust for the IoT. Building Internet of Things Apps with Rust and Raspberry Pi. Apress, Berkeley, CA,pp 391-427, 2020.

. Babanatis Merce, R.M., Babanatsas, T., Maris, S., Tucu, D., Ghergan, O. C.. Study of an automatic olives sorting system. Actual tasks on agricultural engineering, proceedings. Book Series: Actual Tasks on Agricultural Engineering, vol 46, Zagreb, 485-490, 2018.

. Babanatis-Merce, M. R., Babanatsas, T., Maris, S. A., et al. Experimental study on the automatic selection of olives. 9th International Conference on Manufacturing Science and Education – MSE 2019 “Trends in New Industrial Revolution. vol. 290, 2019.

. Hunt J. A First Python Program. In: A Beginners Guide to Python 3 Programming. Undergraduate Topics in Computer Science. Springe, pp 23-31, 2019.

. https://www.raspberrypi.org/products/raspberry-pi-4-model-b/, accesing 24.11.2020.

. Hyun Mun Kim, Woo-Shik Kim and Dae-Sung Cho. A new color transform for RGB coding. 2004 International Conference on Image Processing, pp. 107-110, vol. 1, Singapore, 2004.

. https://www.rapidtables.com/web/color/RGB_Color.html, accessing 25.11.2020.


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