[HTML][HTML] Predicting fruit's sweetness using artificial intelligence—case study: Orange

MAJ Al-Sammarraie, Ł Gierz, K Przybył, K Koszela… - Applied Sciences, 2022 - mdpi.com
The manual classification of oranges according to their ripeness or flavor takes a long time;
furthermore, the classification of ripeness or sweetness by the intensity of the fruit's color is …

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

K Przybył, J Gawałek, K Koszela, J Wawrzyniak… - … and Electronics in …, 2018 - Elsevier
The increasing trend of consumer awareness regarding balanced nutrition, methods of food
preparation and processing as well as an increased attention to quality of products by …

[HTML][HTML] The use of image analysis to detect seed contamination—A case study of triticale

Ł Gierz, K Przybył, K Koszela, A Duda, W Ostrowicz - Sensors, 2020 - mdpi.com
Samples of triticale seeds of various qualities were assessed in the study. The seeds were
obtained during experiments, reflecting the actual sowing conditions. The experiments were …

[HTML][HTML] Neural image analysis and electron microscopy to detect and describe selected quality factors of fruit and vegetable spray-dried powders—Case study …

K Przybył, J Gawałek, K Koszela, J Przybył… - Sensors, 2019 - mdpi.com
The study concentrates on researching possibilities of using computer image analysis and
neural modeling in order to assess selected quality discriminants of spray-dried chokeberry …

[HTML][HTML] Neural Visual Detection of Grain Weevil (Sitophilus granarius L.)

P Boniecki, K Koszela, K Świerczyński, J Skwarcz… - Agriculture, 2020 - mdpi.com
A significant part of cereal production is intended for agri-food processing, which implies a
necessity to search for and implement modern storage systems for this product. Stored grain …

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

D Wojcieszak, J Przybył, A Lewicki… - … on Digital Image …, 2015 - spiedigitallibrary.org
The aim of this research was investigate the possibility of using methods of computer image
analysis and artificial neural networks for to assess the amount of dry matter in the tested …

Software supporting definition and extraction of the quality parameters of potatoes by using image analysis

K Przybył, A Ryniecki, G Niedbała… - … on Digital Image …, 2016 - spiedigitallibrary.org
The aim of this paper was to design and implement an information technology (IT) system
supporting the analysis and interpretation of image descriptors. The software is …

[HTML][HTML] Identification process of selected graphic features apple tree pests by neural models type MLP, RBF and DNN

P Boniecki, M Zaborowicz, A Pilarska… - Agriculture, 2020 - mdpi.com
In this paper, the classification capabilities of perceptron and radial neural networks are
compared using the identification of selected pests feeding in apple tree orchards in Poland …

The recognition of potato varieties using of neural image analysis method

K Przybył, K Górna, D Wojcieszak… - … on Digital Image …, 2015 - spiedigitallibrary.org
The aim of this paper was to extract the representative features and generate an appropriate
neural model for classification of varieties of edible potato. Potatoes of variety the Vineta and …

[HTML][HTML] Dimension reduction of digital image descriptors in neural identification of damaged malting barley grains

P Boniecki, A Sujak, AA Pilarska… - Sensors, 2022 - mdpi.com
The paper covers the problem of determination of defects and contamination in malting
barley grains. The analysis of the problem indicated that although several attempts have …