Submit your paper : editorIJETjournal@gmail.com

Paper Title : A review on Application of Non destructive Inspections Techniques for Evaluation of Agricultural Products

ISSN : 2395-1303
Year of Publication : 2022
10.5281/zenodo.6803412

Authors: Jamal Nourain Ibrahim

         


Abstract
As the health hazards increases day by day due to the consumption of these artificially ripened fruits, it is essential to perform qualitative and quantitative analysis of the presence of detrimental ripening agents within the fruit-skinand flesh to identify with the relevant health hazard. The existence of artificial ripening agent is usually encountered on the fruit skin. But it is also very important to reckon the presence of detrimental chemicals within fruit-flesh and to learn the impact of these chemicals on the food value of artificially ripened fruitsthe fruit quality detection methods which were based on one of the following properties: optical properties, sonic vibration, machine reflection, transmittance and diffuse reflection, and vision technique, nuclear magnetic resonance (NMR), electronic noses, electrical properties, computed tomography. At last, the main problems of non-destructive detection in application were also explained (1) In a brief definition, the qualitative and quantitative measurements in agricultural products and processed food that has been surveyed without any physical, chemical, thermal and mechanical damages to cycle back is called non-destructive test. Diversity andabundance of the parameters and qualitative features of agro-products were the most reason of Nondestructive development methods in recent four decades with the growth of the technology ofthe accurate measuring instruments. Nondestructive tests should not be detrimental effects on the product and it should be in order to ensure customer satisfaction of products. Various non-destructive methods have been described in table 1.

Reference
(1) Haisheng Gao, Fengmei Zhu, Jinxing Cai. A Review of Non-destructive Detection for Fruit Quality. Third IFIP TC 12 International Conference on Computer and Computing Technologies in Agriculture III (CCTA), Oct 2009, Beijing, China. pp.133-140, 10.1007/978-3-642-12220-0_21ff. hal-01061726) (2) Ying Yibin, Rao Xiuqin, Ma Junfu et al. Methodology for nondestructive inspection of citrus maturity with machine vision[J]. Transactions of The Chinese Society of Agricultural Engineering, 2004,20(2):144-147. (3) He Dongjian, Takaaki Maekawa, Hiroshi Morishima. Detecting Device for on Line Detection of Internal Quality of Fruits Using Near Infrared Spectroscopy and the Related Experiments[J]. Transactions of The Chinese Society of Agricultural Engineering.2001,17,.148146. (4) Han Donghai, Liu Xinxin, Zhao Lili et al. Color, Tissue and Near-infrared Spectrum of Internal Quality of Fruits Using Near Infrared Spectroscopy and the Related Experiments[J]. Transactions of The Chinese Society of Agricultural Engineering 2001,17(1):146-148. Characteristics of Bruised Apples[J]. Transactions of The Chinese Society of Agricultural Machinery, 2003,34(6):112-115. (5) Jiang Yueming, Takeo shiina. Advances in Evaluations of Damage of Postharvest Fruits and Vegetables[J]. Transactions of The Chinese Society of Agricultural Engineering, 2002,n1812-8(5). (6) Vahora, T., V. R. Sinija and K. Alagusundaram. 2013. Quality evaluation of fruits using acoustic resonance technique: A review. J. Food Sci. Technol. 2: 2278 –2249. (7) DUIZER, L.M. 2004. Sound input techniques for measuring texture. In Texture in Food (K. David, ed.) pp. 146 .Woodhead Publishing Ltd., U.K,166.. (8) Yamamoto.H, Lwamoto.M, Haginuma.S. 1980 Acoustic impulse response method for measuring natural frequency of intact fruits and preliminary applications to internal quality evaluation of apples and watermelons. Journal of Texture Studies, 11:117-136 R.; O’Brien, M. 1985. Maturity determination of tomatoes using acoustic methods. the ASAE paper (9) Saltveit. M. E., Upadhyaya. S.; Happ, J. f.; Gavelett tomatoes using acoustic methods. the ASAE paper No.85-3536. St.Joseph.Michigan. (10) Vahora, T., V. R. Sinija and K. Alagusundaram. 2013. Quality evaluation of fruits using acoustic resonance technique: A review. J. Food Sci. Technol. 2: 2278 –2249. (11) Butz, p., Hofmann, c. And Tauscher, b. 2005. Recent developments in noninvasive techniques for fresh fruit. (12) Lewicki, P.P., Marzec, vegetable internal quality analysis. J. Food sci. 70, 131–141 A. and Ranachowski, Z. 2009. Acoustic properties of foods. In Food Properties Handbook (M.S. Rahman, ed.) pp. 811–841, CRC Press Taylor & Francis Group, Boca Raton. (13) Mizrach, Amos. 2000, Determination of avocado and mango fruit properties by ultrasonic techniques Ultrasonic V 38 n 1. P 717 -722. (14) Cherng AP. Sep-oct 2000, Vibration, modes of melons of ellipsoidal shape. Transactions of the ASAE 43 (5): 1185 (15) Barrachina AC, Carrido DV, Romero DM, Mula MS . Carbonell FB, Sanchez FM, Ballesteros FR, Apr (16) Jancsok P - Papadiamontopou lou E. De Baerdemaeker J – Nico Polyamines:2000 Biosynthesis, metabolism, and their role in ripening and post harvest handling of fruits, Food Scince and Technology International, 95-85, (17) Sarkker.N.Wolfe, R.R.1993. Potential of ultrasonic measurementsin food quality evaluation Transactions of ASAE, 26(2); 624-629. (18) Upchurch.B.L; Miles.G.E, Stroshine, R. L Furgason.E.S; Emerson, F. h .1987. Ultrasonic measurement for detecting apples bruises Transaction of ASAE, 30(3); 803-809.; (19) Mizrach.A.; Galili.N.,Rosenhouse.G.1989 Determination of fruit and vegetable properties by ultrasonic excitation. Transactionsof ASAE, 32(6) 2058-2053.. . (20) Mason, T.J., L. Paniwnyk and J.P. Lorimer. 1996. The uses of ultrasound in food technology. Ultrasonics Sonochemistry. 3: 253-260 (21)Eissa, A. H. and A. A. Abdel Khalik. 2012. Understanding color image processing by machine vision for biological materials. In A. A. Eissa. (Ed.), Structure and Function of Food Engineering. Chapter 10, pp 227- 274. InTech . [61] (22) Parmar, R. R., K. R. Jain and C. K. Modi. 2011. Unified approach in food quality evaluation using machine vision Advances in Computing and Communications. Springer Berlin Heidelberg. 239-248. (23) Ying Yibin, Rao Xiuqin, Ma Junfu et al. Methodology for nondestructive inspection of citrus ma Engineering, 2004,20(2):144-147. (In Chinese) turity with machine vision[J]. Transactions of The Chinese Society of Agricultural (24) Chao, K.; Chen, Y.R.; Early, H.; Park, B. Color image classification systems for poultry viscera inspection. Appl. Eng Agric. 1999, 15, 363–369 (25) V. Leemansa ; (25) H. Mageinb ; M.-F. Destain, “On-line Fruit Grading according to their External Quality using Machine Vision”, Biosystems Engineering (2002) 83 (4), 397–404 doi:10.1006/bioe.2002.0131. (26) Wang, H.-H.; Sun, D.-W. Melting characteristics of cheese: Analysis of effects of cooking conditions using computer vision technology. J. Food Eng. 2002, 51, 305–310. (27) Lu Lixin, Wang Zhiwei. Study of Mechanisms of Mechanical Damage and Transport Packaging in Fruits Transportation [J]. Packaging Engineering, 2004,25(4):131-134. (28) Zhang Libin, Xu fangJia, Canchun et al. Nondestructive Measurement of Internal Quality of Apples by Dielectric Properties[J]. Transactions of The Chinese Society of Agricultural Engineering, 2000,16(3):104-107. (In Chinese) (29) Guo Wenchuan, Zhu Xinhua, Guo Kangquan et al. Electrical Properties of Peaches and Its Application in Sensing Freshness[J]. Transactions of The Chinese Society of Agricultural Machinery, 2007,38(1):112-115. (20) Xu Shumin, Yu Yong, Wang Jun. Study on CT Value of Damaged Apple[J]. Transactions of The Chinese Socie Vegetables.. Horticultural Reviews, 20: 1 – 120 of Agricultural Machinery, 2006,37(6):83-85. (31) Zhang Jingping, Zhang Hua, Wang Hui. Non-destructive Test of Fuji Apple's Major Components by CT[J]. Transactions of The Chinese Society of Agricultural M668achinery, 2008,39(7):99-102. (32) Zhang Libin, Xu fangJia, Canchun et al. Nondestructive Measurement of Internal Quality of Apples by Dielectric Properties[J]. Transactions of The Chinese Society of Agricultural Engineering, 2000,16(3):104-107 (33) Schaepman, M.E. Spectrodirectional remote sensing: From pixels to processes. Int. J. Appl. Earth Obs. Geoinf 2007 – 233-204,9... (34) Qin, J.; Lu, R. Measurement of the optical properties of fruits and vegetables using spatially resolved hyperspectral diffuse reflectance imaging technique. Postharvest Biol Technol. 2008, 49, 355–365. (35) ElMasry, G.; Kamruzzaman, M.; Sun, D.-W.; Allen, P. Principles and applications of hyperspectral imaging in quality evaluation of agro-food products: A review. Crit. Rev. Food Sci. Nutr. 2012, 52, 999–1023 (36) in, J.; Tang, L.; Hruska, Z.; Yao, H. Classification of toxigenic and atoxigenic strains of Aspergillus flavus with hyperspectral imaging. Comput. Electron. Agric. 2009, 69, 158–164. (37) Jamal Nourain. Application of Acoustic Properties in Non – Destructive Quality Evaluation of Agricultural Products.I nternational Journal of Engineering and Nondestructive Quality Evaluation of Fruits and Technology Volume 2 No. 4, April, 2012 ISSN: 2049-3444 © 2012 – IJET Publications UK. All rights reserved .
Keywords
- A review on Application of Non destructive Inspections Techniques for Evaluation of Agricultural Products