Develop an Olive-based Grading Algorithm using Image Processing

Olives come in a number of external and internal varieties. The Shengeh kind, which is available three colours—green, brown, black—was chosen at random by the researchers to ensure that sample was diverse. To avoid discoloration throughout experiment, 150 healthy olives were harvested stored correctly. These had not been subjected any harm, such as crushing or milling. particular kind kept chilled 2°C preserved water. This study investigates possibility grading cultivars from have different uses, based on color using image processing. After preparing images MATLAB software processing techniques, are graded their categories: immature with green, semi-ripe ripe black. results showed technology can be used grade type terms ripeness single-color grain acceptable accuracy. HSV space one best spaces separate colors olive cultivar. accuracy for detecting mentioned degrees 98%, 96%, 100%, respectively.