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K

Krzysztof Przybył

Poznan University of Life Sciences

21H-index
90Paper Count
1.0KCitation Count
Published Papers 19
Publication Date
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Biogas Plants in the Sustainable Energy Transition: Environmental Performance, Public Health Implications and Socio-Economic Trade-Offs
errSustainability
IF3.3
err2026-09-28
err0
errOAAI
errAgnieszka A. Pilarska; Aleksander Pilarski; Krzysztof Pilarski; Michał B. Pietrzak; Krzysztof Przybył; Tomasz Kałuża
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Hybrid Machine Learning Models for Predicting Gross CO2e Balance in Polish Forest Stands: A Tool for Sustainable Forest Carbon Assessment in the Circular Economy
errSustainability
IF3.3
err2026-06-23
err0
errOAAI
errKrzysztof Przybył; Agnieszka A. Pilarska; Krzysztof Pilarski
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Molecular Properties of Starch–Water Interactions in the Presence of Bioactive Compounds from Barley and Buckwheat—LF NMR Preliminary Study
errPolymers 2025, Vol. 17, Page 2606
IF4.9
err2025-09-28
err0
errOAAI
errGreta Adamczyk; Łukasz Masewicz; Krzysztof Przybył; Aleksandra Zaryczniak; Przemysław Łukasz Kowalczewski; Monika Beszterda-Buszczak; Wojciech Cichocki; Hanna Maria Baranowska
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Machine Learning in Sensory Analysis of Mead—A Case Study: Ensembles of Classifiers
errmolecules
IF0
err2025-08-02
err0
errOAAI
errKrzysztof Przybył; Daria Cicha-Wojciechowicz; Natalia Drabińska; Małgorzata Anna Majcher
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Effects of Thickness of the Corn Seed Coat on the Strength of Processed Biological Materials
errMATERIALS
IF3.2
err2025-01-07
err0
errOAAI
errGierz, Lukasz; Kruszelnicka, Weronika; Lykowski, Wiktor; Steike, Mikolaj; Wichlinski, Michal; Estrada, Quirino; Przybyl, Krzysztof
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The Prediction of Pectin Viscosity Using Machine Learning Based on Physical Characteristics-Case Study: Aglupectin HS-MR
errSUSTAINABILITY
IF3.3
err2024-07-10
err0
errOAAI
errSiejak, Przemyslaw; Przybyl, Krzysztof; Masewicz, Lukasz; Walkowiak, Katarzyna; Rezler, Ryszard; Baranowska, Hanna Maria
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Explainable AI: Machine Learning Interpretation in Blackcurrant Powders
errSENSORS
IF3.5
err2024-05-17
err3
errOAAI
errPrzybyl, Krzysztof
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The Need for Machines for the Nondestructive Quality Assessment of Potatoes with the Use of Artificial Intelligence Methods and Imaging Techniques
errSENSORS
IF3.5
err2023-02-05
err5
errOAAI
errDanielak, Marek; Przybyl, Krzysztof; Koszela, Krzysztof
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Texture analysis and artificial neural networks for identification of cereals-case study: wheat, barley and rape seeds
errSCIENTIFIC REPORTS
IF3.9
err2022-11-11
err3
errOAAI
errGierz, L.; Przybyl, K.
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Predictive Models of Phytosterol Degradation in Rapeseeds Stored in Bulk Based on Artificial Neural Networks and Response Surface Regression
errMOLECULES
IF4.6
err2022-04-10
err1
errOAAI
errWawrzyniak, Jolanta; Rudzinska, Magdalena; Gawrysiak-Witulska, Marzena; Przybyl, Krzysztof
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Deep and Machine Learning Using SEM, FTIR, and Texture Analysis to Detect Polysaccharide in Raspberry Powders
errSENSORS
IF3.5
err2021-08-30
err29
errOAAI
errPrzybyl, Krzysztof; Koszela, Krzysztof; Adamski, Franciszek; Samborska, Katarzyna; Walkowiak, Katarzyna; Polarczyk, Mariusz
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The Use of Image Analysis to Detect Seed Contamination-A Case Study of Triticale
errSENSORS
IF3.5
err2020-12-29
err18
errOAAI
errGierz, Lukasz; Przybyl, Krzysztof; Koszela, Krzysztof; Duda, Adamina; Ostrowicz, Witold
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Application of Deep and Machine Learning Using Image Analysis to Detect Fungal Contamination of Rapeseed
errSENSORS
IF3.5
err2020-12-19
err19
errOAAI
errPrzybyl, Krzysztof; Wawrzyniak, Jolanta; Koszela, Krzysztof; Adamski, Franciszek; Gawrysiak-Witulska, Marzena
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An Assessment of the Functional and Ecological Aspect of Novel Intermittent Stream Valves for Spraying Seed Potatoes
errAGRONOMY-BASEL
IF3.4
err2020-04-09
err2
errOAAI
errGierz, Lukasz; Przybyl, Krzysztof; Koszela, Krzysztof; Semklo, Lukasz; Kwiecien, Sebastian
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The Effectiveness of the Application of a Chemical Agent (Dressing) to Seed Potatoes by Means of an Innovative Valve Enabling Intermittent Flow of a Liquid
errAGRICULTURE-BASEL
IF3.6
err2020-03-19
err0
errOAAI
errGierz, Lukasz; Przybyl, Krzysztof; Koszela, Krzysztof; Markowski, Piotr
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errSave
Classification of Dried Strawberry by the Analysis of the Acoustic Sound with Artificial Neural Networks
errSENSORS
IF3.5
err2020-01-16
err28
errOAAI
errPrzybyl, Krzysztof; Duda, Adamina; Koszela, Krzysztof; Stangierski, Jerzy; Polarczyk, Mariusz; Gierz, Lukasz
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Neural Image Analysis and Electron Microscopy to Detect and Describe Selected Quality Factors of Fruit and Vegetable Spray-Dried Powders-Case Study: Chokeberry Powder
errSENSORS
IF3.5
err2019-10-12
err17
errOAAI
errPrzybyl, Krzysztof; Gawalek, Jolanta; Koszela, Krzysztof; Przybyl, Jacek; Rudzinska, Magdalena; Gierz, Lukasz; Domian, Ewa
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Artificial neural networks and electron microscopy to evaluate the quality of fruit and vegetable spray-dried powders. Case study: Strawberry powder
errCOMPUTERS AND ELECTRONICS IN AGRICULTURE
IF8.9
err2018-12-01
err42
PREAI
errPrzybyl, K.; Gawalek, J.; Koszela, K.; Wawrzyniak, J.; Gierz, L.
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Design of an Effective Platform for Unmanned Aerial Vehicles to Collect Research Material in the form of Aerial Photographs
erreleventh international conference on digital image processing (icdip
IF0
err2018-08-09
err2
PREAI
errKoszela, K.; Lukomski, M.; Zaborowicz, M.; Boniecki, P.; Przybyl, K.; Gierz, L.
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errSave

Research Directions

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Co-authors
Cooperation Journals
M
Magdalena Rudzińska
H-index: 38 · Papers: 208
P
Przemysław Łukasz Kowalczewski
H-index: 37 · Papers: 202
K
Katarzyna Samborska
H-index: 30 · Papers: 125
P
P. Boniecki
H-index: 30 · Papers: 256
M
Małgorzata Majcher
H-index: 29 · Papers: 91
View more