Papaya Maturity Classification in MATLAB Platform using Lab Method and DHT11 Sensor

In this paper, the researchers have developed an integrated device that is fast, user-friendly, and affordable. It will accurately determine the maturity level of papaya in order to know the days left for a papaya to reach its maximum ripeness. The study focuses on identifying the classification of papaya by getting the maturity level. Six maturity levels are introduced, namely RS1 – Completely Green, RS2 – Distinct yellow at apex, RS3 – More green than yellow, RS4 – More yellow than green, RS5 – Tinge of green, and RS6 – Yellow / Yellow Orange. MATLAB is used for image processing. The method involves the segmenting of image and Detecting of Color which uses Clustering Based Techniques and LAB Method. Through a series of testing, the researchers were able to design a system that has an 86.67% accuracy in identifying the maturity level of papaya and an 86.67% accuracy in determining the number of days before the papaya becomes overripe. The design project has an average time of 8.11 seconds from the input to output process.