ABSTRACT
4This chapter is about applying fuzzy logic to categorize the ripeness of Citrus suhuensis using the reflectance measurement. In this study, only selected optical indices were used as reference input to design the fuzzy logic model which are orange, yellow, and green. The wavelength index for yellow is 570 nm, orange at 590 nm, and green at 510 nm. Citrus suhuiensis has same color of skin within the growth stage and maturity stage. The reflectance measurement was taken from an external part, the skin of Citrus suhuiensis. Each Citrus suhuensis was divided into six portions. The data were obtained by using spectrometer. All the data were analyzed using SPSS software for future analysis. For the statistical analysis, input was chosen for fuzzy system. There were two techniques proposed and experimented in this work termed as direct and differential. Direct technique is a direct reflection measurement of optical index representing orange and yellow. Differential technique takes the reflectance measurement slope of orange and yellow with respect to green indices. At the end, all the 212 samples of Citrus suhuensis were successfully tested in this work.
