Analysis of moisture and total sugar content of Huizao based on surface images
Keywords:
Huizao, step discriminatory analysis, moisture content, total sugarAbstract
Moisture and total sugar content are two important internal qualities of Huizao. In order to explore their correlation with external qualities, a novel method of moisture and total sugar content analysis was proposed based on surface images. Firstly, five geometric features and seven texture features of Huizao were obtained to be the external quality indexes by digital image processing technology. Secondly, the wrinkle degree as an important index was extracted by marked watershed segmentation algorithm. According to the external quality the Huizao samples were grouped, and the moisture and total sugar content were determined through physical and chemical methods. Lastly, the moisture and total sugar content and twelve external indexes were all processed by step discriminatory analysis. Meanwhile, the regression models of moisture content with short diameter, contrast, and wrinkle degree and total sugar with wrinkle degree were established. The coefficients of the model were 0.9992 and 0.9978 respectively, and all the significance was less than 0.01, which show that the regression equation and regression coefficient effect are highly significant. The results indicate that the moisture and total sugar content of Huizao are greatly correlated with the wrinkle degree. The moisture and total sugar content are the highest when the wrinkle degree is at 2 to 3 grade, and they decrease gradually with the wrinkle degree increasing. Moisture content shows positive correlation with the size of Huizao. The results of model analysis agree well with the experimental results, which can provide valuable reference for improving Huizao grade diversity. Keywords: Huizao, step discriminatory analysis, moisture content, total sugar DOI: 10.25165/j.ijabe.20181104.3386 Citation: Zhang J X, Ma Q Q, He F, Qu F, Li W. Analysis of moisture and total sugar content of Huizao based on surface images. Int J Agric & Biol Eng, 2018; 11(4): 238-243.References
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[2] Suherman P M, Peter M T, Geoff Smith. Development of a remote electrode system for monitoring the water content of materials inside a glass Vial. Pharmaceutical Research, 2002; 19(3): 337–344.
[3] Naoto N, Hideki O, Satoshi W, Sayaka S. Study of sugar transformations in carrots during storage using snow by Mid-Infrared spectroscopy and chemometrics. Applied Spectroscopy: Society for applied spectroscopy, 2012; 66(9): 1087–1090.
[4] Han W, Sun Y, Xu T F, Chen X W, Su K O. Detecting maize leaf water status by using digital RGB images. Int J Agric & Biol Eng, 2014; 7(1): 45–53.
[5] Qi H J, Jin X, Zhao L, Dedo I M, Li S W. Predicting sandy soil moisture content with hyperspectral imaging, Int J Agric & Biol Eng, 2017; 10(6): 175–183.
[6] Jie D F, Xie L J, Rao X Q, Ying Y B. Using visible and near infrared diffuse transmittance technique to predict soluble solids content of watermelon in an on-line detection system. Postharvest Biology and Technology, 2014; 90: 1–6.
[7] Cunha M, Carvalho C, MarcalA R S. Assessing the ability of image processing software to analyze spray quality on water-sensitive papers used as artificial targets. Biosystems Engineering, 2012; 111(1): 11–23.
[8] Wattanavicheanand K, Aroonyadet N. Assessment of fruit maturity in ‘Kao Nampheung’ pummelo using image processing of oil glands. Thai Journal of Agricultural Science, 2003; 36(2): 129–140.
[9] Chong V K, Nishi T, Kondo N, Monta M, Namba K, Zhang Q, Shimizu H. Surface gloss measurement on eggplant fruit. Applied Engineering in Agriculture, 2008; 24(6): 877–883.
[10] Li X B, Guo Y M, Fu L H. On-line monitoring of moisture ratio for apple during vacuum freeze-drying based on image texture analysis. Transactions of the CSAM, 2012; 28(21): 229–235. (in Chinese)
[11] Xue J L, Zhang S J, Zhang J J. Simultaneous detection of external and internal quality parameters of Huping jujube fruits using hyperspectral imaging technology. Spectroscopy and Spectral Analysis, 2015; 35(8): 2297–2302. (in Chinese)
[12] Lee D-J, Archibald J K, Chang,Y-C Greco C R. Robust color space conversion and color distribution analysis techniques for date maturity evaluation. Journal of Food Engineering, 2008; 88(3): 364–372.
[13] Lee D-J, Schoenberger R, Archibald J, McCollum S. Development of a machine vision system for automatic date grading using digital reflective near-infrared imaging. Journal of Food Engineering, 2008; 86: 388–398.
[14] Luo H P, Lu Q P. Application of near-infrared topology method in the quality analysis of jujube of southern Xinjiang. Spectroscopy and Spectral Analysis, 2012; 32(3): 655–659. (in Chinese)
[15] Ying Y B, Wang J P, Jiang H Y. Inspecting diameter and defect area of
fruit with machine vision. Transactions of the CSAM, 2002; 18(5): 216–220. (in Chinese)
[16] Gonzalez R C, Woods R E. Digital Image Processing Second Edition. New Jersey: Prentice Hall Press, 2002; pp.665–666.
[17] Zhang J X, Ma Q Q, Li W, Xiao T T. Feature extraction of jujube fruit wrinkle based on the watershed segmentation. Int J Agric & Biol Eng, 2017; 10(4): 165–172.
[18] Jones G. Image segmentation using texture boundary detection. Pattern Recognition Letters, 1994; 15(6): 533–541.
[19] Soille P. Morphological Image Analysis Principles and Applications. New York: Springer-Verlag Press. 2008; pp.150–152.
[20] Li X L, Ma Z H, Fernando B, Qin F, Wang H G, Jose A A. Development of automatic counting system for urediospores of wheat stripe rust based on image processing. Int J Agric & Biol Eng, 2017; 10(5): 134–143.
[21] Siddiqui F U, Matisa N A. Optimized K-means (OKM) clustering algorithm for image segmentation. Opto-Electronics Review, 2012; 20(3): 216–225.
[22] GB/T 10782-2006, General rule for preserved fruits. (in Chinese)
[23] Siddiqi M H, Ali R, Khan A M, Park Y-T, Lee S. Human facial expression recognition using stepwise linear discriminant analysis and hidden conditional random fields. IEEE Transactions on Image Processing, 2015; 24(4): 1386–1398
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Published
2018-08-08
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Zhang, J., Ma, Q., He, F., Qu, F., & Li, W. (2018). Analysis of moisture and total sugar content of Huizao based on surface images. International Journal of Agricultural and Biological Engineering, 11(4), 238–243. Retrieved from https://ijabe.migration.pkpps03.publicknowledgeproject.org/index.php/ijabe/article/view/3386
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Agro-product and Food Processing Systems
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