Krzysztof Przybył

Artificial neural networks and electron microscopy to evaluate the quality of fruit and vegetable spray-dried powders. Case study: Strawberry powder

Krzysztof Przybył, Jolanta Gawałek, K. Koszela et al. · Computers and Electronics in Agriculture · 2018 · 55 citations

Artificial Neural Networks, Food Analysis, Strawberry Powder +6

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

Krzysztof Przybył, K. Koszela, Franciszek Adamski et al. · Sensors · 2021 · 42 citations · Full text

Engineering, Machine Learning, Food Analysis +18

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

Krzysztof Przybył, Adamina Duda, K. Koszela et al. · Sensors · 2020 · 35 citations · Full text

Aeroacoustics, Vibrations, Artificial Neural Networks +14

Predicting Fruit’s Sweetness Using Artificial Intelligence—Case Study: Orange

Mustafa Ahmed Jalal Al-Sammarraie, Łukasz Gierz, Krzysztof Przybył et al. · Applied Sciences · 2022 · 34 citations · Full text

Artificial Intelligence, Rgb Values, Engineering +17

Use of neural image analysis methods in the process to determine the dry matter content in the compost

Dawid Wojcieszak, J. Przybył, Andrzej Lewicki et al. · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2015 · 33 citations

Neural Image Analysis, Agricultural Engineering, Precision Agriculture +12