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Thumbnail of dataset Data of analysis of the influence of microparticle morphology on the qualitative state of spray-dried fruit with the use of deep learning
DatasetData of analysis of the influence of microparticle morphology on the qualitative state of spray-dried fruit with the use of deep learning
Feb 24, 2024 - DataverseFood and Nutrition Technology

Przybył, Krzysztof, 2024, "Data of analysis of the influence of microparticle morphology on the qualitative state of spray-dried fruit with the use of deep learning", https://doi.org/10.18150/J6R7UY, RepOD, V2

Thumbnail of dataset Dataset on the application of machine learning to assess the quality of food products. Case study: coffee bean
DatasetDataset on the application of machine learning to assess the quality of food products. Case study: coffee bean
Sep 27, 2023 - DataverseFood and Nutrition Technology

Przybył, Krzysztof, 2023, "Dataset on the application of machine learning to assess the quality of food products. Case study: coffee bean", https://doi.org/10.18150/0B46MT, RepOD, V1

Thumbnail of dataset Data of analysis of the influence of microparticle morphology on the qualitative state of spray-dried fruit with the use of machine learning
DatasetData of analysis of the influence of microparticle morphology on the qualitative state of spray-dried fruit with the use of machine learning
Aug 9, 2023 - DataverseFood and Nutrition Technology

Przybył, Krzysztof, 2023, "Data of analysis of the influence of microparticle morphology on the qualitative state of spray-dried fruit with the use of machine learning", https://doi.org/10.18150/YD3OIV, RepOD, V1

Logo of dataverse Food and Nutrition Technology
DataverseFood and Nutrition Technology(Poznań University of Life Sciences)
Nov 30, 2021
Technologia żywności i żywienia
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