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Krzysztof Koszela (K Koszela)

Scopus Author ID ORCID

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 10

Top Venues

Sensors (Basel, Switzerland)

Journal of food science and technology

Polymers

Uniwersytet Przyrodniczy w Poznaniu

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

Affiliation History

Uniwersytet Przyrodniczy w Poznaniu Sep 1o 2008

Poland

Institute of Biosystems Engineering :: Institute of Biosystems Engineering

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)
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)
K Przybył, J Gawałek, Krzysztof Koszela
Application of artificial neural network for the quality-based classification of spray-dried rhubarb juice powders. Journal of food science and technology 60 (3) (2020)
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)
K Przybył, J Gawałek, Krzysztof Koszela
Application of artificial neural network for the quality-based classification of spray-dried rhubarb juice powders. Journal of food science and technology 60 (3) (2020)
Krzysztof Przybył, Jolanta Gawałek, Krzysztof Koszela, Jacek Przybył, Magdalena Rudzińska, Łukasz Gierz, Ewa Domian
Neural Image Analysis and Electron Microscopy to Detect and Describe Selected Quality Factors of Fruit and Vegetable Spray-Dried Powders-Case Study: Chokeberry Powder. Sensors (Basel, Switzerland) 19 (20) (2019)

Krzysztof Koszela.css-eqlu8i{font-size:small;padding-left:4px;} (K Koszela)

Publication Activity (10 Years)

Top Topics

Top Venues

Krzysztof Koszela (K Koszela)