Dairy factory milk product processing and sustainable of the shelf-life extension with artificial intelligence: a model study

dc.contributor.authorÖztuna Taner, Öznur
dc.contributor.authorÇolak, Andaç Batur
dc.date.accessioned2024-07-25T11:50:51Z
dc.date.available2024-07-25T11:50:51Z
dc.date.issued2024
dc.departmentRektörlük
dc.description.abstractThis study models milk product processing and sustainable of the shelf-life extension in a dairy factory using artificial intelligence. The Cappadocia dairy factory was used to study chemical processes and computational system modeling and simulation. Levenberg–Marquardt algorithm was used to create an artificial neural network model from real-time data. An AI-based method utilizing a Multilayer Perceptron (MLP) Artificial Neural Network (ANN) model was employed to precisely analyze productivity data in dairy factories. There are 9 product types and production quantities used as input parameters, and 90 datasets of actual dairy products used as output values. The model was trained using the Levenberg–Marquardt algorithm on 62 datasets for training, 14 for validation, and 14 for testing. The accuracy of the model is affected by the optimal data segmentation. The model showed how AI algorithms can improve processes and industrial production by increasing dairy production efficiency from 20 to 40%. Model efficiency values were compared to observed values to determine prediction accuracy. Model mean squared error was 4.02E-06, and coefficient of determination was 0.99984. Model efficiency predictions and observed values differed by ?0.04% on average. This study investigated using artificial intelligence to optimize salvage processes and systems to increase energy efficiency and reduce environmental impact. The results show that a neural network model trained with real data can predict dairy plant productivity.
dc.identifier.doi10.3389/fsufs.2024.1344370
dc.identifier.issn2571-581X
dc.identifier.issue-en_US
dc.identifier.scopusqualityQ1
dc.identifier.urihttps:/dx.doi.org/10.3389/fsufs.2024.1344370
dc.identifier.urihttps://hdl.handle.net/20.500.12451/12226
dc.identifier.volume8en_US
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherFrontiers Media SA
dc.relation.ispartofFrontiers in Sustainable Food Systems
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectArtificial Intelligence
dc.subjectDairy Milk Production
dc.subjectEnergy Efficiency
dc.subjectFood Process
dc.subjectModeling
dc.titleDairy factory milk product processing and sustainable of the shelf-life extension with artificial intelligence: a model study
dc.typeArticle

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