Development and application of a model for the automatic evaluation and classification of onions (Allium cepa L.) using a Deep Neural Network (DNN)

• Autorzy: Rybacki P. , Przygodzinski P. , Kowalczewski P.L. , Sawinska Z. , Kowalik I. , Osuch A. , Osuch E.
• Języki publikacji: EN

Abstrakty

EN

Słowa kluczowe

EN

automatic evaluation; convolutional neural network; digital image analysis; onion; quality; machine learning

• Wydawca: -
• Czasopismo: Acta Scientiarum Polonorum. Hortorum Cultus
• Rocznik: 2024
• Tom: 23
• Numer: 5
• Opis fizyczny: p.39-57,fig.,ref.

Twórcy

autor

Rybacki P.

• Department of Agronomy, Faculty of Agronomy, Horticulture and Bioengineering, Poznań University of Life Sciences, Poznań, Poland

autor

Przygodzinski P.

• Department of Agronomy, Faculty of Agronomy, Horticulture and Bioengineering, Poznań University of Life Sciences, Poznań, Poland

autor

Kowalczewski P.L.

• Department of Food Technology of Plant Origin, Poznań University of Life Sciences, Poznań, Poland

autor

Sawinska Z.

• Department of Agronomy, Faculty of Agronomy, Horticulture and Bioengineering, Poznań University of Life Sciences, Poznań, Poland

autor

Kowalik I.

• Department of Agronomy, Faculty of Agronomy, Horticulture and Bioengineering, Poznań University of Life Sciences, Poznań, Poland

autor

Osuch A.

• Department of Biosystems Engineering, Faculty of Environmental and Mechanical Engineering, Poznań University of Life Sciences, Poznań, Poland

autor

Osuch E.

• Department of Biosystems Engineering, Faculty of Environmental and Mechanical Engineering, Poznań University of Life Sciences, Poznań, Poland

Identyfikatory

DOI

10.24326/asphc.2024.5337