An Innovative Method for Identification of Artificially Ripened Banana Using Single Board Computer

A wide variety of fruits is explicitly identified, classified and even graded at different levels using computer vision based advanced image processing systems in these days. The fruits that are very rich in vitamins and minerals are rightly appropriate to have a long & healthy lifetime. In that way, a common and popular kind of fruit ‘banana’ is in good terms with nutritious value and price. On the flip side, the same variety is being forced to consume a lot of chemical substances (calcium carbide, acetylene and ethylene) during the process of ripening. In addition to that, all the on-going researches are focusing chiefly on certain shape, colour and size of the banana to detect its classification and maturity period. Considering the above-mentioned problems, this paper tries to sort out the differences that are lying behind the varieties of bananas related to the procedure of natural and artificial method for ripening with a great help of hybrid tool and during the process of study, the histogram value and the input of the sensor are obtained for threshold value along with the raspberry pi which is one of the single board computers. The proposed system gives around 94% of accuracy on detection of artificially ripen banana.