Image Analysis Technique for Evaluating the Quality of Navel Orange Fruits
Elhosary, M., Elmetwalli, A., Derbala, A., Elsayed, S. (2023). Image Analysis Technique for Evaluating the Quality of Navel Orange Fruits. EKB Journal Management System, 2(2), 100-109. doi: 10.21608/jsaes.2023.198337.1027
Mahmoud S Elhosary; Adel Elmetwalli; Asaad Derbala; Salah Elsayed. "Image Analysis Technique for Evaluating the Quality of Navel Orange Fruits". EKB Journal Management System, 2, 2, 2023, 100-109. doi: 10.21608/jsaes.2023.198337.1027
Elhosary, M., Elmetwalli, A., Derbala, A., Elsayed, S. (2023). 'Image Analysis Technique for Evaluating the Quality of Navel Orange Fruits', EKB Journal Management System, 2(2), pp. 100-109. doi: 10.21608/jsaes.2023.198337.1027
Elhosary, M., Elmetwalli, A., Derbala, A., Elsayed, S. Image Analysis Technique for Evaluating the Quality of Navel Orange Fruits. EKB Journal Management System, 2023; 2(2): 100-109. doi: 10.21608/jsaes.2023.198337.1027

Image Analysis Technique for Evaluating the Quality of Navel Orange Fruits

Journal of Sustainable Agricultural and Environmental Sciences
Volume 2, Issue 2, April 2023, Page 100-109  XML PDF (812.13 K)
Document Type: Original research paper
DOI: 10.21608/jsaes.2023.198337.1027
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Authors
Mahmoud S Elhosary email 1; Adel Elmetwalli1; Asaad Derbala2; Salah Elsayed3
1Agricultural Engineering Department, Faculty of Agricultural, Tanta university
2Tanta University, Faculty of Agriculture, Agricultural Engineering Department, Egypt
3University of Sadat City, Environmental Studies and Research Institute, Agricultural Engineering, Evaluation of Natural Resources Department, Menoufia 32897, Egypt
Abstract
Abstract: The goal of the research is to use an image processing system to evaluate the biochemical properties of orange fruits in a non-destructive, rapid and inexpensive way. Various biochemical properties such as TSS, acidity, TSS/TA, chlorophyll A, chlorophyll B and carotenoids were measured. The ENVI software package was used to analyze the orange fruit images and three RGB bands (red, green and blue) were derived for each image until R, G and B colors were obtained and then color indices such as GRVI, gn, bn, IKAW, ExR and Norm(VARI, VARI1). The results showed that there is a high correlation between color indicators and biochemical characteristics. The ExR gave the highest coefficient of determination with carotenoids (R^2= 0.94***), and also gave the highest coefficient of determination with TSS (R^2=0.90***). while the IKAW index gave the highest coefficient of determination with chlorophyll a and chlorophyll b (R^2=0.91*** and R^2=0.92***), respectively. The IKAW and ExR gave the highest coefficient of determination with TSS/TA (R^2= 0.917*** and R^2= 0.914***).
Keywords
Image processing; Orange fruits; RGB Index; ENVI software; biochemical properties
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