Milk quality labeling for machine learning prediction
TextClassification
Sensor data related to milk quality parameters was labeled to train an ML model for automated quality classification. Each sample was classified into predefined quality grades using key measured attributes. The data labeling process ensured high accuracy and aligned with industrial food safety principles.
• Annotated sensor-derived data points based on laboratory measurements.
• Maintained rigorous labeling for pH, temperature, and turbidity.
• Supported classification of milk batches into Low, Medium, and High quality.
• Enabled model validation through precisely labeled input features.
Sensor data related to milk quality parameters was labeled to train an ML model for automated quality classification. Each sample was classified into predefined quality grades using key measured attributes. The data labeling process ensured high accuracy and aligned with industrial food safety principles. • Annotated sensor-derived data points based on laboratory measurements. • Maintained rigorous labeling for pH, temperature, and turbidity. • Supported classification of milk batches into Low, Medium, and High quality. • Enabled model validation through precisely labeled input features.
2023 - 2023