Krzysztof Przybyl

Neural Image Analysis and Electron Microscopy to Detect and Describe Selected Quality Factors of Fruit and Vegetable Spray-Dried Powders—Case Study: Chokeberry Powder

Krzysztof Koszela, Lukasz Gierz, Krzysztof Przybyl, 2019, Sensors.

Neural identification of images showing selected varieties of stored potatoes

Piotr Boniecki, Krzysztof Koszela, Krzysztof Przybyl, 2018 .

The Use of Image Analysis to Detect Seed Contamination—A Case Study of Triticale

Krzysztof Koszela, Lukasz Gierz, Krzysztof Przybyl, 2020, Sensors.

COMPUTER SYSTEM PiAO2 AS A TOOL FOR ASSIST NEURAL CLASSIFICATION OF TOMATOES WITHOUT SUPERVISION

Piotr Boniecki, Maciej Zaborowicz, Krzysztof Przybyl, 2012 .

Design project of a system of wireless sensors network supporting the fields irrigation process

Piotr Boniecki, Janina Rudowicz-Nawrocka, Krzysztof Przybyl, 2018 .

Classification of Dried Strawberry by the Analysis of the Acoustic Sound with Artificial Neural Networks

Krzysztof Koszela, Lukasz Gierz, Krzysztof Przybyl, 2020, Sensors.

Deep and Machine Learning Using SEM, FTIR, and Texture Analysis to Detect Polysaccharide in Raspberry Powders

Krzysztof Koszela, Krzysztof Przybyl, Katarzyna Samborska, 2021, Sensors.