PESTRON for Quality Monitoring of Custard Apples

Fruit quality is an important parameter in the food processing industries. It is necessary to analyze external characteristics of the fruit sample and treat the fruit samples. Under natural illumination, the fruit samples are analyzed with designed Algorithm. Ultimately, this algorithm is intended to enable estimation of the custard apple quality. The algorithm includes main steps: extraction of pixels that has high possibility of detecting pests (White),using color and smoothness. Comparison of the processed image with a standard model of a custard apple will detect the percentage of disorder. The algorithm detects 90% of Defect custard apples visible in the images. In accordance to the Percentage of Disorder analyzed, fruit sample is subjected to treatment. This method could reduce the consumption of water and provides efficient way for washing fruit samples. Since it can act as Pesticide to treat the fruit as a quality oriented along with Electronics, the proposed proto type is named as PESTRON.