الفهرس 
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Abstract
SUMMARY AND CONCLUSION
A color image analysis procedure was built to classify fresh tomato into three maturity stages according to the USDA standard classification: green, pink and red. The maturity stages were determined based on the green: red color ratio. For both, the algorithm and image processing function in Matlab2012a were used to process the images. System performance was evaluated by comparing the classification results with manual grading. As response, physical properties such as (mass, volume, dimensions) and mechanical characteristics such as (rupture force, average firmness) at four locations (on the fruit top, bottom and two symmetric points of each sample) were determined to compare the results of image analysis and visual classification. The following conclusion were made:
1- Classification results agree with manual grading in 98% of the tested tomatoes. Also, it is worth mentioning, that the algorithm utilized is less complicated and more processor friendly than the manual grading. This indicates that the judgment of tomato maturity was simple and accurate in this study using image processing and can be easily implemented in sorting of tomato during post-harvest processing.
2- from the puncture test rupture force and average firmness were sensitive to the maturity stages and the change in rupture force from green to pink and from green to red at bottom was high at 51% and 75%, respectively. This indicates that the bottom was more sensitive to the maturity stages than the others three position.
3- The coefficient of determination R2 showed that the projected area at bottom was most closely related to volume and mass of the tomato fruits. The result suggests that the volume and mass of the tomato fruits can be predicted by the projected area at the bottom which is obtained from the vision system. And the accurate model to determine the volume was (Y= 0.0019 X - 20.18) with R2 =.95.
where Y= Volume measured by WDM (cm3), X= Tomato projected area at the bottom (pixel).
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SUMMARY AND CONCLUSIONS
Mahmoud A. Yamani, (2016), M.Sc., Fac. Agric., Ain Shams Univ.
And mass was (Y = 0.0021 X – 47.719) with R2=.95.
Where
Y= Mass (g).
X= Tomato projected area at the bottom (pixel).