LEMON QUALITY EVALUATION DURING MATURITY USING COLOR ANALYSIS AND LASER TECHNOLOGY
Hassan, H., Abd El-Rahman, A., Abdel-Hameed, U. (2015). LEMON QUALITY EVALUATION DURING MATURITY USING COLOR ANALYSIS AND LASER TECHNOLOGY. EKB Journal Management System, 32(2), 771-788. doi: 10.21608/mjae.2015.98638
H. E. Hassan; A. A. Abd El-Rahman; U. A. Abdel-Hameed. "LEMON QUALITY EVALUATION DURING MATURITY USING COLOR ANALYSIS AND LASER TECHNOLOGY". EKB Journal Management System, 32, 2, 2015, 771-788. doi: 10.21608/mjae.2015.98638
Hassan, H., Abd El-Rahman, A., Abdel-Hameed, U. (2015). 'LEMON QUALITY EVALUATION DURING MATURITY USING COLOR ANALYSIS AND LASER TECHNOLOGY', EKB Journal Management System, 32(2), pp. 771-788. doi: 10.21608/mjae.2015.98638
Hassan, H., Abd El-Rahman, A., Abdel-Hameed, U. LEMON QUALITY EVALUATION DURING MATURITY USING COLOR ANALYSIS AND LASER TECHNOLOGY. EKB Journal Management System, 2015; 32(2): 771-788. doi: 10.21608/mjae.2015.98638

LEMON QUALITY EVALUATION DURING MATURITY USING COLOR ANALYSIS AND LASER TECHNOLOGY

Misr Journal of Agricultural Engineering
Article 22, Volume 32, Issue 2, April 2015, Page 771-788  XML PDF (1019.45 K)
Document Type: Original Article
DOI: 10.21608/mjae.2015.98638
View on SCiNiTO View on SCiNiTO
Authors
H. E. Hassan1; A. A. Abd El-Rahman2; U. A. Abdel-Hameed3
1Prof. Dr., Nat. Inst. of Laser Enhanced Sc. (NILES), Cairo Univ., Egypt.
2Head of Res., Agric. Eng. Res. Inst., Agric.Res.Center, Dokki, Egypt.
3Assist. Res., Agric. Eng. Res. Inst., Agric. Res. Center, Dokki, Egypt.
Abstract
The main purpose of the present study is creation of optical standard scale and quality evaluation parameters when studying of lemon fruits (Citrus aurantifolia) at different maturity stages. The lemon fruits were classified into six stages of maturity according to their color graduation from green to yellow color. The physical, mechanical and chemical properties of lemon fruit were measured. A laser light source with wavelength 543.5 nm with power 4 mW was used, to measure the optical properties of lemon fruits. Each sample was imaged with CCD camera, these images were chromatically analyzed with RGB scale by software program. The results showed that: 1- The main dimensions, mass and volume of lemon fruits were gradually increased. Meanwhile, the peel thickness and the density were gradually decreased with lemon maturity stages, 2- The friction  angle of lemon fruits was gradually increased, meanwhile the required force to penetrate the lemon fruits and the firmness were gradually decreased with lemon maturity stages, 3- The juice percentage, total soluble solids (TSS), total sugars and the percentage of acidity were gradually increased, meanwhile the pH value of the lemon fruits was gradually decreased, with lemon maturity stages, 4- The light reflectivity was decreased, meanwhile the light absorptivity intensity was increased as the fruit gradually matured from stage one to stage six., 5- By decreased density of light reflection from fruit surface, the juice, total soluble solid, total sugar and the acidity percentages were increased, pH value was decreased, On the other hand, in the case of density of light absorption percentage was increased and 6- The color analysis (RGB) of fruits color images showed that the red color component was gradually increased, meanwhile each of green and blue color components were gradually decreased as fruits matured from stage 1 to 6. 

Therefore, there is potential for use of laser light to determine the maturity stage of lemon fruits and color analysis of fruits images to distinguish the maturity stage of lemon fruits
References
Elmasry, G.; M. Kamruzzaman; D.W. Sun and P. Alle (2012). Principles and applications of hyperspectral imaging in quality evaluation of agro-food products: A review. Critical Reviews in Food Science and Nutrition. 52(11): 999–1023.

Gonzalez-Molina, E.; R. Dominguez-Perles; D.A. Moreno and C. Garcia-Viguera (2010). Natural bioactive compounds of Citrus lemon for food and health. Journal of Pharmaceutical and Biomedical Analysis 51: 327–345.

Hardy, S. and G. Sanderson (2010). Primefacts for profitable, adaptive and sustainable primary industries, Primefact 980: 1-6.

Jafari, A.; A. Fazayeli and M. R. Zarezadeh (2014). Estimation of orange skin thickness based on visual texture coarseness. Department of Agricultural Engineering, Shiraz University, Shiraz 71441-65186, Iran, Biosystems engineering. 117 : 73 - 82.

Khojastehnazhand, M.; M. Omid and A. Tabatabaeefar (2010). Development of a lemon sorting system based on color and size. African J. Plant Sc. 4(4): 122-127.

Milind S. L. (2008) Citrus fruit-biology, technology and evaluation. Academic, New York.

Narendra, V. G. and K. S. Hareesh (2010). Prospects of Computer Vision Automated Grading and Sorting Systems in Agricultural and Food Products for Quality Evaluation. International Journal of Computer Applications. 1(4): 174-181.

Official methods of analysis of (A.O.A.C.) international (2000). Vol. I,Ch. 10 :    1-10.

Omid, M.; M. Khojastehnazhand; A. Tabatabaeefar (2010). Estimating volume and mass of citrus fruits by image processing technique. Journal of Food Engineering. 100: 315–321.

Pathare. P. B.; U. L. Opara and F. A. Al-Said (2013). Colour Measurement and Analysis in Fresh and Processed Foods: A Review, Food Bioprocess Technol. 6:36–60.

Zhang, B.; H. Wenqian; L. Jiangbo; Z. Chunjiang; F. Shuxiang; W. Jitao and L. Chengliang (2014). Principles, developments and applications of computer vision for external quality inspection of fruits and vegetables: A review, Food Research International. 62: 326–343.

Statistics
Article View: 300
PDF Download: 551