Abstract
Surface defects such as mechanical damage, black lesion, latex stains and shriveling of mango fruit are very common and responsible for lowering of market prices as well as postharvest losses. Current research, thus, focused on the study of reflected ultraviolet imaging (UV) technique, its potential of detecting defected mangoes and to develop a computer vision system which could find the reflected area on injured or defected mango’s surface. The visual visualization of the bruised areas was noticed different when viewed under 15 W fluorescent UV tube (100–400 nm) light by UV camera. Hidden defects on fruit’s surface detected just after the image acquisition by UV camera and brightness enhancement. Defected or injured surface of mangoes recognized easily by reflected UV imaging at 400 nm band-pass filter. The seriousness of injuries which were not detected by RGB color camera, detected by reflected UV imaging technique exactly.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
Arauz LF (2000) Mango anthracnose: economic impact and current options for integrated management. Plant Dis 84:600–611
Cosentino A (2015) Practical notes on ultraviolet technical photography for art examination. Conserv Heritage 21:53–62
Garcia C, Ruiz M, Chen P (1988) Impact parameters related to bruising in selected fruits. American Society Agric Engineers, St. Joseph
Howard RJ, Ferrari MA (1990) Role of melanin in appressorium function. Exp Mycol 14(2):195–196
Jagtiani J, Chan HT, William SS (1988) Tropical fruit processing. Academic Press Inc., New York, p 46
Jha SN, Narsaiah K, Sharma AD, Singh M, Bansal S, Kumar R (2010) Quality parameters of mango and potential of non-destructive techniques for their measurement: a review. J Food Sci Technol 47(1):1–14
Kleynen O, Destain M-F (2004) Detection of defects on fruits by machine vision and unsupervised segmentation. In: AgEng 2004 conference, September 12–16. Technological Institute, Leuven, Belgium, pp 1006–1007
Koomen I, Jeffries P (1993) Effects of antagonistic microorganisms on the post harvest development of Colletotrichum gloeosporioides on mango. Plant Pathol 42:230–237
Moretti CL, Sargent SA, Huber DJ, Calbo AG, Puschmann R (1998) Chemical composition and physical properties of pericarp, locule, and placental tissues of tomatoes with internal bruising. J Am Soc Hortic Sci 123:656–660
Nagle M, Intani K, Mahayothee B, Sardsud V, Muller J (2012) Non-destructive mango quality assessment using image processing: inexpensive innovation for the fruit handling industry. In: Conference on international research on food security, natural resource management and rural development (Tropentag 2012), Gottingen (Germany), September 19–21, pp 1–4
Ozluoymak OB (2014) Development of a UV-based imaging system for real-time detection and separation of dried figs contaminated with aflatoxins. J Agric Sci 20:302–316
Patel KK, Kar A, Khan MA (2012a) Nondestructive food quality evaluation techniques: principle and potential. Agric Eng Today 36(4):29–34
Patel KK, Kar A, Jha SN, Khan MA (2012b) Machine vision system: a tool for on-line sorting and grading of agricultural foods and produces. J Food Sci Technol 49(2):123–141
Richards A (2010) Reflected ultraviolet imaging for forensics applications. http://www.company7.com. Accessed 27 March 2018
Sanches J, Durigan JF, Durigan MFB (2008) Application of mechanical damage in avocados and its effects on fruit quality. Braz Assoc Agric Eng 28(1):164–175
Slaughter DC, Obenland DM, Thompson JF, Arpaia ML, Margosan DA (2008) Nondestructive freeze damage detection in oranges using machine vision and ultraviolet fluorescence. Postharvest Bio Technol 48:341–346
Smoot JJ, Segall RH (1963) Hot water as a postharvest control of mango anthracnose. Plant Dis Report 47:739–742
Vigneault C, Bordini MR, Abrahao RF (2002) Packaging for fruits and vegetables. In: Cortez LAB, Honorio SL, Moretti CL (eds) Cooling of fruits and vegetables. Brasilia, EMBRAPA, pp 96–121
Acknowledgements
This work was supported by the National Agricultural Innovation Project, Indian Council of Agricultural Research through its subproject entitled “Development of non-destructive system for evaluation of microbial and physico-chemical quality parameters of mango” (C1030).
Author information
Authors and Affiliations
Corresponding author
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Electronic supplementary material
Below is the link to the electronic supplementary material.
Rights and permissions
About this article
Cite this article
Patel, K.K., Kar, A. & Khan, M.A. Potential of reflected UV imaging technique for detection of defects on the surface area of mango. J Food Sci Technol 56, 1295–1301 (2019). https://doi.org/10.1007/s13197-019-03597-w
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s13197-019-03597-w