IDENTIFICATION OF MANGO FRUIT MATURITY LEVEL BASED ON SHAPE ANALYSIS USING K-MEANS CLUSTERING
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Abstract
Mango fruit is a seasonal fruit, for farmers mango fruit is one of the export commodities for farmers' lives because mango farming can improve their welfare, but there are still many people who have difficulty determining the level of ripeness of mango fruit that is good and good for consumption, given the Identifying this level of ripeness can help farmers separate mangoes that are suitable for consumption, so that people can easily choose, researchers use the k-means clustering method with mango fruit objects based on color, the input image will be processed using an RGB image, then a detection process will be carried out. and converted to a binary image
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