Milk-UNet: A Novel U-Net Architecture for Milk Rotten Detection (or Milk Quality Classification ) Primary Goal: To detect spoilage or quality defects in milk using computer vision and deep learning.
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Traditional methods for assessing milk quality (chemical analysis, sensory evaluation) are often destructive, time-consuming, and expensive. The authors propose a non-destructive, image-based method to classify milk quality. Milk-UNet: A Novel U-Net Architecture for Milk Rotten
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