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Robust Fruit/Vegetable Quality Assessment Using Nondestructive Textural Distortion Analysis

Sanjivani Kedar Apte


A nondestructive approach for fruit quality assessment is outlined in this paper. An x-ray based image analysis for the internal quality assessment is presented. The quality assessment with external inspection is constraint only to the shape ,color and texture, the quality analysis for the internal effects were not possible. The Nondestructive approach using an x-ray image of a testing sample is processed, where the textural spectral variation and pattern distortion is evaluated to make a decision of Quality level for a given fruit sample. The evaluation of the proposed system, for different level of degradation and its assessment for quality factor in terms of level of fruit quality degradation is presented.



Fruit quality assessment, nondestructive approach, textural distortion analysis

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Rasool Khodabakhshian, Bagher Emadi, Mehdi Khojastehpour, Mahmood Reza Golzarian, “Determining quality and maturity of pomegranates using multispectral imaging”, Journal of the Saudi Society of Agricultural Sciences, Vol. 16, (2017), pp- 322–331.

S.Yanniotis, A. Proshlyakov, A. Revithi, M. Georgiadou , J. Blahovec, “X-ray imaging for fungal necrotic spot detection in pistachio Nuts”, Procedia Food Science, Vol. 1 (2011) ), pp- 379 – 384.

Judith A. Abbott, “Quality measurement of fruits and vegetables”, Postharvest Biology and Technology, Vol. 15 (1999) ), pp- 207–225.

Priscila D. Alamar, Elem T.S. Caramês, Ronei J. Poppi, Juliana A.L. Pallone, “Quality evaluation of frozen guava and yellow passion fruit pulps by NIR spectroscopy and chemometrics”, Food Research International, Vol. 85 (2016) ), pp- 209–214.

Ronald P. Haff, NatsukoToyofuku, “X-ray detection of defects and contaminants in the food industry”, Sens. &Instrumen. Food Qual. Vol.2 (2008), pp-262–273.

Lakshmi S, A.K. Pandey, N. Ravi, O.P. Chauhan, NatarajanGopalan, and R.K. Sharma, “ Non-destructive Quality Monitoring of Fresh Fruits and Vegetables”, Defence Life Science Journal, Vol. 2, No. 2, (2017), pp- 103-110.

Peter Butz, Claudia Hofmann, and Bernhard Tauscher , “Recent Developments in Noninvasive Techniques for Fresh Fruit and Vegetable Internal Quality Analysis”, Journal of Food Science R131, Vol. 70, (2005).

LÜ Qianga, TANG Mingjie, “Detection of Hidden Bruise on Kiwi fruit Using Hyperspectral Imaging and Parallelepiped Classification” ,Procedia Environmental Sciences, Vol. 12, (2012) ), pp- 1172 – 1179.

Sergio Cubero&NuriaAleixos& Enrique Moltó& Juan Gómez-Sanchis& Jose Blasco, “Advances in Machine Vision Applications for Automatic Inspection and Quality Evaluation of Fruits and Vegetables”, Food Bioprocess Technol, Vol.4, (2011) , pp- 487–504.

D. Lorente, N. Aleixos, J. Gómez-Sanchis, S. Cubero, O. L. García-Navarrete, J. Blasco, “Recent Advances and Applications of Hyperspectral Imaging for Fruit and Vegetable Quality Assessment”, Food Bioprocess Technol Vol. 5, (2012), pp- 1121–1142.

D.C. Slaughter, “ Nondestructive Maturity Assessment Methods for Mango: A Review of Literature and Identification of Future Research Needs” Biological and Agricultural Engineering University of California, Davis January (2009).

Sandeep S Musale, and Pradeep M Patil, “Database Development of Defective and Healthy Alphonso Mangoes”, Int'l Journal of Advances in Agricultural & Environmental Engg. (IJAAEE), Vol.1, (2014).

HaishengGao, Fengmei Zhu, and Jinxing Cai, “A Review of Non-destructive Detection for Fruit Quality”, CCTA 2009, IFIP AICT, Vol.317, (2010), pp- 133–140.

Bart M. Nicolaï, ThijsDefraeye, Bart De Ketelaere, ElsHerremans, Maarten L.A.T.M. Hertog, WouterSaeys, Alessandro Toricelli, Thomas Vandendriessche, and Pieter Verboven, “Nondestructive Measurement of Fruit and Vegetable Quality”, Postharvest Biology and Technology, Vol. 46, (2007), pp- 99-118.

Bart M. Nicola, KatrienBeullens, ElsBobelyn, Ann Peirs, WouterSaeys, Karen I. Theron, JeroenLammertyn, “Nondestructive measurement of fruit and vegetable quality by means of NIR spectroscopy: A review”, Postharvest Biology and Technology, Vol. 46 (2007) , pp- 99–118.

Adriana Sacco, Antonio Di Matteo, Nadia Lombardi, Nikita Trotta, BiancavaleriaPunzo, Angela Mari, AmaliaBarone, “Quantitative trait loci pyramiding for fruit quality traits in tomato”, Mol Breeding, Vol.31, (2013) , pp- 217–222.

Qianglong Zhu, PengGao, Shi Liu, Zicheng Zhu, SikandarAmanullah, Angela R. Davis and Feishi Luan, “Comparative transcriptome analysis of two contrasting watermelon genotypes during fruit development and ripening”, Zhu et al. BMC Genomics (2017) , pp- 18-3.

XiaoouGuo, JingjingXu, Xiaohui Cui, Hao Chen and Hongyan Qi, “iTRAQ-based Protein Profiling and Fruit Quality Changes at Different Development Stages of Oriental Melon”, Guo et al. BMC Plant Biology (2017) , pp- 17-28.


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