Artificial Neural Network Modeling to Predict Electrical Conductivity and Moisture Content of Milk During Non-Thermal Pasteurization: New Application of Artificial Intelligence (AI) in Food Processing

This study proposed applying artificial intelligence (AI) to predict the actual electrical conductivity (EC) of raw and pasteurized milk using moderate electric field (MEF) based on the electric field strength (EFS) and mass flow rate (MFR) along with modeling moisture content (MC) based on the EC....

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Veröffentlicht in:Processes 2024-11, Vol.12 (11), p.2507
Hauptverfasser: Alsaedi, Ali Wali M., Al-Hilphy, Asaad R., Al-Mousawi, Azhar J., Gavahian, Mohsen
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Sprache:eng
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