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

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dc.contributor.authorÖztuna Taner, Öznur
dc.contributor.authorÇolak, Andaç Batur
dc.date.accessioned2024-07-12T07:23:21Z
dc.date.available2024-07-12T07:23:21Z
dc.date.issued2024en_US
dc.departmentRektörlük, Bilişim Teknolojileri Uygulama ve Araştırma Merkezien_US
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.en_US
dc.identifier.doi10.3389/fsufs.2024.1344370en_US
dc.identifier.scopus2-s2.0-85197916819en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://hdl.handle.net/11467/7341
dc.identifier.urihttps://doi.org/10.3389/fsufs.2024.1344370
dc.identifier.volume8en_US
dc.identifier.wosWOS:001260924700001en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherFrontiers Media SAen_US
dc.relation.ispartofFrontiers in Sustainable Food Systemsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Başka Kurum Yazarıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectfood process, dairy milk production, artificial intelligence, modeling, energy efficiencyen_US
dc.titleDairy factory milk product processing and sustainable of the shelf-life extension with artificial intelligence: a model studyen_US
dc.typeArticleen_US

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