A cost effective tomato maturity grading system using image processing for farmers
The assessment of fruit quality is important for the cultivator and the consumer. The paper describes the image processing technique to estimate the volume and maturity of sweet lime. Spherical shape fruit is only considered for this analysis. The image is captured using a high resolution digital camera and cell phone. An algorithm is developed in MATLAB for finding the volume and maturity of the sweet lime. Volume of the fruit is computed by estimating the radius of the image. Maturity is determined with the RGB color coding based on RG ratio. The results are validated experimentally by measurement using Vernier Calipers.