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Krzysztof Przybył

ORCID

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 8

Top Venues

Sensors (Basel, Switzerland)

Polymers

Molecules (Basel, Switzerland)

University of Life Sciences in Poznań (PHD)

This page only lists publications with an associated author ORCID identifier.

Education History

University of Life Sciences in Poznań Oct 1o 2015

Poland

PHD

Publications

Marek Danielak, Krzysztof Przybył, Krzysztof Koszela
The Need for Machines for the Nondestructive Quality Assessment of Potatoes with the Use of Artificial Intelligence Methods and Imaging Techniques. Sensors (Basel, Switzerland) 23 (4) (2023)
Marek Danielak, Krzysztof Przybył, Krzysztof Koszela
The Need for Machines for the Nondestructive Quality Assessment of Potatoes with the Use of Artificial Intelligence Methods and Imaging Techniques. Sensors (Basel, Switzerland) 23 (4) (2023)
Jolanta Wawrzyniak, Magdalena Rudzińska, Marzena Gawrysiak-Witulska, Krzysztof Przybył
Predictive Models of Phytosterol Degradation in Rapeseeds Stored in Bulk Based on Artificial Neural Networks and Response Surface Regression. Molecules (Basel, Switzerland) 27 (8) (2022)
Katarzyna Walkowiak, Krzysztof Przybył, Hanna Maria Baranowska, Krzysztof Koszela, Łukasz Masewicz, Michał Piątek
The Process of Pasting and Gelling Modified Potato Starch with LF-NMR. Polymers 14 (1) (2022)
Krzysztof Przybył, Krzysztof Koszela, Franciszek Adamski, Katarzyna Samborska, Katarzyna Walkowiak, Mariusz Polarczyk
Deep and Machine Learning Using SEM, FTIR, and Texture Analysis to Detect Polysaccharide in Raspberry Powders. Sensors (Basel, Switzerland) 21 (17) (2021)
Krzysztof Przybył, Adamina Duda, Krzysztof Koszela, Jerzy Stangierski, Mariusz Polarczyk, Łukasz Gierz
Classification of Dried Strawberry by the Analysis of the Acoustic Sound with Artificial Neural Networks. Sensors (Basel, Switzerland) 20 (2) (2020)
Łukasz Gierz, Krzysztof Przybył, Krzysztof Koszela, Adamina Duda, Witold Ostrowicz
The Use of Image Analysis to Detect Seed Contamination-A Case Study of Triticale. Sensors (Basel, Switzerland) 21 (1) (2020)
Krzysztof Przybył, Jolanta Wawrzyniak, Krzysztof Koszela, Franciszek Adamski, Marzena Gawrysiak-Witulska
Application of Deep and Machine Learning Using Image Analysis to Detect Fungal Contamination of Rapeseed. Sensors (Basel, Switzerland) 20 (24) (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Krzysztof Przybył