Detection Of Calcium Carbide Based Ripeness In Mango Fruit

Mango is an important fruit crop across the world. Nowadays to ripe mangoes, Traders use many artificial methods (using chemicals). One of the artificial methods used is adding calcium carbide.CaC2 contains the traces of arsenic and phosphorous which is the carcinogenic agent. The threshold-based segmentation is used to segment the image from the bunch of mangoes and some discriminatory features are extracted in the frequency domain using a Haar filter. The variation in the features of the images is related to the difference between artificially ripened and naturally ripened mangoes. These statistical features are then analyzed for the identification of artificially ripened samples of these samples using vector machine classifiers. These results are given to microcontroller arrangement which intimates end-users via IoT and alerts the processing center. The experimental results indicate that the proposed method is efficient for the identification of artificially ripened mangoes.