Application if Image Processing Technique for Estimating Chilling Injury to Mango Fruit

Authors

1 1. Assitant Professor, Department of Horticultural Sciences, University of Hormozgan, Bandarabbas, Iran.

2 Associate Professor, Department of Biosystems Engineering, Ferdowsi University of Mashhad, Mashhad, Iran.

3 Ph. D. Student, Department of Horticultural Sciences, Ferdowsi University of Mashshad, Mashhad, Iran.

4 Ph. D. Student, Department of Biosystems Engineering, Ferdowsi University of Mashhad, Mashhad, Iran

Abstract

To estimate quantitative and quality of agricultural products, a non- destructive technique as image processing would be very useful and practical. This research examined the estimation of chilling injury in mango fruit using image processing technique. The experiment was arranged as factorial in completely randomized design with two factors; temperature (5, 15 and 24ºC) and observation (7 observation in 48hrs. interval), and three replications. Analysis of variance revealed significant differences between treatments for some quantative and quality traits of fruit such as total acid (TA), total soluble solids (TSS) and fruit firmness. The results showed positive significant correlation between TSS and image character “a*” and “L*” (r = 0.545** and r = 0.548**, respectively). There was negative significant correlation between fruit firmness and image characters “a*” and “L*”
(r = -0.534** and r = -0.548**, respectively). In dertructive methed (laboratory) fruit characteristics changed after fourth and fifth observations when fruit internal characteristics have been affected. However, image processing revealed the differences between treatments in second observation.

Keywords

References

Schulz, H., and Baranska, M. 2007. Identification and quantification of valuable plant substances by IR and Raman spectroscopy. Vibrational Spectroscopy 43: 13-25.
 
 
Mata, C., Duarte, M. E. M., Borges, F. F., and Barbacena, I. L. 2012. An adaptive threshold level for segmentation of grayscale images using image processing to sort mangoes by weight estimation. Postharvest Technology in the Global Market. Pp. 943-948. In: Proceedings of the XXVIII International Horticultural Congress.
 
 
Payne, A. B., Walsh, K. B. Y., Subedi, P. P., and Jarvis, D. 2013. Estimation of mango crop yield using image analysis –Segmentation method. Computers and Electronics in Agriculture 91: 57-64.
 
 
León, K., Mery, D., Pedreschi, F., and León, J. 2006. Color measurement in L∗a∗b∗ units from RGB digital images. Food Research International 39: 1084-1091.
 
 
Jha, S. K., Sethi, S., Srivastav, M., Dubey, A. K., Sharma, R. R., Samuel,D. V. K., Puttaraju, T. B., and Reddy, T. V. 1997. Effect of precooling on the quality of mango (cv. 'Malika'). Journal of Food Science and Technology 34 (1): 24-27.
 
 
Rathore, H. A, Masud, T., Sammi, S., and Soomro, A. H. 2007. Effect of storage on physico- chemical composition and sensory properties of mango variety dashehari. Pakistan Journal of Nutrition. 6 (2): 143-148.
Seed and Plant Production Journal
Volume 35, Issue 1
July 2019
Pages 127-131

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