Physical Properties Measurements of Okra Fruits Using Image Processing to Predict of Visual Maturity Index | ||||
| Journal of Soil Sciences and Agricultural Engineering | ||||
| Article 5, Volume 13, Issue 11, November 2022, Page 381-386 PDF (979.69 K) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/jssae.2022.161347.1104 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
Usama Anwer Abd-Elhameed  1; Heba L. Abd El - Mohsen2; A. A. Abd El-Rahman2
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| 1Agricultural Engineering Research Institute | ||||
| 2Agricultural Engineering Research Institute- Agric. Res. Center, Giza - Egypt. | ||||
| Abstract | ||||
| The investigation on main dimensions using measure methods (Line and rectangle) by image processing of okra pods revealed the following. (1) The length, diameter, mass, volume, and density ranged from (2.63 to 5.50 cm), (1.43 to 2.11 cm), (2.12 to 9.72 g), (4.24 to 19.24 cm3) and (0.17 to 0.66 g/cm3), respectively of okra pods. (2) The relationship between the measure and image of the L/D ratio of okra pods has a high correlation (R² = 0.9678). So, it can be established the grades standard of okra, according to image process of the L/D ratio of pods. Therefore, the standard grading according to image processing as follows: the “very small” group included pods not more than 1.98 (<1.98) in L/D ratio; the “small” group included pods from 1.98 to 2.28 (1.98 to 2.28); the “medium” class included okra pods from 2.28 to 2.55 (2.28 to 2.55) in length; finally the “large” group included pods larger than 2.55 (> 2.55). (3) The difference percentage between color values, which measuring by line and rectangle pixel methods. The minimum values were of 9.09, 7.22 and 6.67 %, and for maximum values were about 1.69, 2.94, and 6.67 %, and for average values were 6.89, 5.24 and 6.79 % for Red (R) and Green (G) and Blue (B) values, respectively. Therefore, According to measure of color and size of okra fruits, the measurements considering visual means as aMaturity index of okra fruits. | ||||
| Keywords | ||||
| Okra; harvesting index; image analysis | ||||
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