Automated Tomato Sorting Machine
Dhroov Batra, Hardik Rewari, N. Hema
Abstract
Sorting of Tomatoes is necessary as tomatoes are widely used and an important fruit in India hence they play a vital role in our day to day lives. Our goal is to provide better quality tomatoes to meet the market standards and for that we need fresh and ripe tomatoes instead of unripe tomatoes. In India, sorting of tomatoes is done by humans which is prone to human error. We need to minimize the error and for that a low cost Tomato Sorting Machine is proposed which differentiates between ripe and unripe tomatoes on the basis of their colour. To differentiate between ripe and unripe tomatoes two TCS3200 RGB Colour Sensors are used in the proposed system. The tomatoes are passed in a straight line on the incline to the characterization point. The distinguishing proof of the colour of tomatoes passed on should be possible by checking the recurrence investigation of the yield of the colour sensor. The arranging of tomatoes as ripe and unripe depends on the colour force caught by TCS3200 colour sensor. The general framework precision was 93.33%. The arranging execution was evaluated for 1500 tomatoes for every hour with 1 channel which can be expanded if at least 2 channels are utilized.