Determination of ripeness and grading of tomato using image analysis on Raspberry Pi

Fruits and vegetables market is subject of choice. Thus, it is important for the suppliers to label the quality of goods before dealing out. Some commercially available fruit sorting and grading system have been introduced, but they are almost expensive for small and medium fruit processing industry. Presently, human experts grade the agriculture goods based on its vision based features that cause the inaccuracy, inconsistency and inefficiency on defining the quality of agriculture goods. In this paper, we are inspecting the quality of tomato based on shape, size and degree of ripeness. An edge detection algorithm is used to estimate the shape and size of tomato and color detecting algorithm is used for the ripeness determination. All these algorithms are implemented on Raspberry Pi development board which will become independent and cost effective system. Our system includes Raspberry Pi development board, conveyor belt, motors, Pi camera. All the interfacing of the above devices will be carried out and will make a cost effective embedded system for the determination of shape, size and degree of ripeness of tomato. Same system can be utilized for other fruits and vegetables also.