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This project aims to develop an automated orange quality classification system using a Raspberry Pi and machine learning. The system will capture images of oranges using a Raspberry Pi camera and then use a trained machine learning model to classify the oranges based on quality criteria such as size, color, shape, and defects.
YCN-AFS/YCN-AFS-Classifying-orange-quality-on-raspberry
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This project aims to develop an automated orange quality classification system using a Raspberry Pi and machine learning. The system will capture images of oranges using a Raspberry Pi camera and then use a trained machine learning model to classify the oranges based on quality criteria such as size, color, shape, and defects.
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