Characterization and Classification of Citrus reticulata var. Keprok Batu 55 Using Image Processing and Artificial Intelligence

Citrus reticulata var. Keprok Batu 55 is one of the superior varieties citrus originating from City, East Java, which has a slightly sour-sweet taste with sweetness level 10-12obrix. Prediction maturity as monitoring activity for pre- and post-harvest quality management still done manually, whereas human judgment subjective. One alternative to increase productivity development portable system image processing destructive measurements physico-chemical properties such hardness, brix, pH. This study aims develop an image-based classification model characterize parameters citrus. Measurement on been carried out analysis color index (RGB, L*a*b. HSV). The will be taken camera, later partially (cropping) skin, then extract characteristics calculate content RGB converted it HSV. A sufficient number images various conditions are needed train artificial intelligent so that can perform segmentation, calculation, grade classification. prediction was developed using features several machine learning modeling approaches.