Mangosteen Quality Grading for Export Markets Using Digital Image Processing Techniques

Akara Thammastitkul, Thananut Klayjumlang


Accurate quality grading of mangosteen to meet the needs of consumers is very important for improving the value of the export business. Mangosteen fruit ripens quickly after harvesting, and shipping transportation time is a critical factor. Traditional grading methods by physical visual inspection result in delays and human-induced errors. This paper proposed an automatic grading system of mangosteen fruit that utilizes image processing techniques. The maturity stage, class, and size of mangosteen for the export market are analyzed. There are seven stages of maturity from stage one through to six and the under the mature stage, four classes (extra class, class B, class C, and non-standard class) and seven sizes (Jumbo through to Mini). Skin color, skin defect areas, completeness of calyx integrity are also considered. The preprocessing steps consisted of noise removal using a median filter and image enhancement using the grey level transformation. A combination of the mean intensity of red and green images was used to classify the maturation of the fruit. Areas damaged by yellow latex, cracks, and insect pests were extracted, and calyces were counted for class sorting. The length of the diameter was used for size classification. The thresholding, mathematical morphology, and extended minima transform techniques were also used. The average accuracy of the system was 99.54%, with a high accuracy rate for classifying the premium export grades. Results demonstrated that our proposed system was effective and could be used to improve productivity as an accurate and efficient grading method for mangosteen export.


Mangosteen; image processing; grading; export.

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“Thai agricultural standard: Mangosteenâ€, National Bureau of Agricultural Commodity and Food Standards, Ministry of Agriculture and Cooperatives, 2020. [Online]. mangosteen_eng. [Accessed: 10-Nov-2020].

B. Nongbua, Aungsuratana Am-on and P. Saridnirun, “Capability Development in Export Mangosteen Production through Supply Chain, Muang District, Chanthaburi Provincial Areas,†Veridian EJ. Sci. Technol. Silpakorn Univ., vol. 10, no. 1, pp. 807-821, 2017. (In Thai)

“Development of export of fresh and processed fruit in the eastern region of Thailandâ€, Department of International Trade Promotion, 2020. [Online]. Available: [Accessed: 23-Nov-2020].

“Thailand Foreign Agricultural Trade Statisticsâ€, The Centre for Agricultural Information, Office of Agricultural Economics, 2020. [Online]. Available: [Accessed: 12-Nov-2020].

“Situation of Mangosteen Production and Exportâ€, Department of Agriculture, Thailand. 2020. [Online]. Available: [Accessed: 1-Nov-2020].

Y. Palapol, S. Ketsa, D. Stevenson, J. Cooney, A. C. Allan, and I. B. Ferguson, “Colour development and quality of mangosteen (Garcinia mangostana L.) fruit during ripening and after harvest,†Postharvest Biol. Technol., vol. 51, no.3, pp. 349-353, 2009.

E. Guzmán, V. Baeten, J. A. F. Piern, and J. A. García-Mesa, “Determination of the olive maturity index of intact fruits using image analysis,†J. Food Sci. Technol., vol. 52, no. 3, pp. 1462-1470, 2015.

P. D. Surya and K. J. Satheesh, “Assessment of banana fruit maturity by image processing technique,†J. Food Sci. Technol., vol. 52, no. 3, pp. 1316-1327, 2015.

R. Pourdarbani, H. R. Ghassemzadeh, H. Seyedarabi, F. Z. Nahandi, and M. M. Vahed, “Study on an automatic sorting system for date fruits,†J. Saudi. Soc. Agric. Sci., vol. 14, pp. 83-90, 2015.

C. S. Nandi, B. Tudu and C. Koley, “A machine vision technique for grading of harvested mangoes based on maturity and quality,†IEEE Sens. J. vol. 16, pp. 6387-6396, 2016.

H. Kaur, B. Sawhney and D. Jawandha, “Evaluation of plum fruit maturity by image processing techniques,†J. Food Sci. Technol., vol. 55, no. 8, pp. 3008-3015, 2018.

L. Magwaza L and S. Tesfay, “A Review of Destructive and Non-destructive Methods for Determining Avocado Fruit Maturity,†Food Bioproc. Tech., vol. 8, no. 10, pp.1995-2011, 2015.

T. Chuenatsadongkot and K. Treeamnuk, “Evaluation of “Monthong†durian maturity using color value from image analysis,†Thai Soc. Agric. Eng. J., vol. 24, no. 2, pp.38-47, 2018.

C. Piotr, O. Ireneusz and F. Paweł, “Sweet Cherry Skin Colour Measurement as a Non-Destructive Indicator of Fruit Maturity,†Acta Universitatis Cibiniensis. Series E: Food Technol., vol. 23, no. 2, pp. 157-166, 2019.

W. M. Aizat, F. H. Ahmad-Hashim and S. N. Syed Jaafar, “Valorization of mangosteen, "The Queen of Fruits," and new advances in postharvest and in food and engineering applications: A review,†J. Adv. Res., vol. 20, pp. 61-70, 2019.

I. A. Mohtar, N. S. S. Ramli and Z. Ahmad Z, “Automatic Classification of Mangosteen Ripening Stages using Deep Learning,†in Proc. Artificial Intelligence and Data Sciences (AiDAS), 2019, p. 44-47 doi: 10.1109/AiDAS47888.2019.8970933.

Sandra, “Mage processing application for mangosteen grading with non destructive method,†J. Appl. Sci. Res., vol. 7, no. 12, pp. 1890-1894, 2011.

I. Prabasari, “Comparison of destructive and non destructive method in maturity index of Garcia mangostana,†Planta Tropika: J. Agro Sci., vol. 6, no. 2, pp. 100-105, 2018.

S. Riyadi, A. Zuhri, T. Hariadi, I. Prabasari, and N. A. Utama, “Optimized estimation of mangosteen maturity stage using svm and color features combination approach,†Int. J. Appl. Eng. Res., vol. 12, pp. 15034-15038, 2017.

R. C. Gonzalez and R. E. Woods, Digital image processing, 3rd edn. Pearson Education, Upper Saddle River, 2008.

M.A. Mustafa, A. Ali, G. Seymour, and G. Tucker, “Delayed pericarp hardening of cold stored mangosteen (Garcinia mangostana L.) upon pre-treatment with the stress hormones methyl jasmonate and salicylic acidâ€, Sci. Hortic, vol. 230, pp. 107-116, 2018.

N. Kusumawati, A.B. Santoso, M.M. Sianita, and S. Muslim, “Extraction, Characterization, and Application of Natural Dyes from the Fresh Mangosteen (Garcinia mangostana L.) Peel,†IJASEIT, vol. 7, pp. 878-884, 2017.

M. J. A. Syah, E. Mansyah, Affandi, T. Purnama, and D. Fatria, “The control of yellow latex in mangosteen fruit through irrigation and fertilizer application,†Acta Hortic., vol. 975, pp. 449-454, 2013.

“Mangosteen - Thai Chi Exportâ€, Thai Chi Export. 2020. [Online]. Available: [Accessed: 10-Aug-2020].



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