Non-destructive quality grading of mango (Mangifera Indica L) based on CIELab colour model and size

In Gujarat, mango grading is done by using the human expert. Human expert grade the mangoes using hands and eyes which cause lack of objectivity, efficiency and accuracy. Automation plays a significant role to eliminate human´s interaction with the goal of achieving safety, accuracy and consistency. The aim of this paper is to achieve quality standard of mango using novel colour and size based grading algorithm. In this paper, Image database is prepared with different size and colour of mango which was collected from local vendors. CIELab colour model is used to classify mango in healthy and diseased category. Dominant density range based algorithm is applied to extract colour feature. After that Healthy mango is detected. Size feature is calculated using area and diameter in order to classify in different grade. At final stage, size feature is fed to fuzzy inference system for grading.