| Neural identification of selected apple pests P Boniecki, K Koszela, H Piekarska-Boniecka, J Weres, M Zaborowicz, ... Computers and Electronics in Agriculture 110, 9-16, 2015 | 85 | 2015 |
| Short-term forecast of generation of electric energy in photovoltaic systems A Bugała, M Zaborowicz, P Boniecki, D Janczak, K Koszela, W Czekała, ... Renewable and Sustainable Energy Reviews 81, 306-312, 2018 | 83 | 2018 |
| The use of neural modelling to estimate the methane production from slurry fermentation processes J Dach, K Koszela, P Boniecki, M Zaborowicz, A Lewicki, W Czekała, ... Renewable and Sustainable Energy Reviews 56, 603-610, 2016 | 74 | 2016 |
| Application of neural image analysis in evaluating the quality of greenhouse tomatoes M Zaborowicz, P Boniecki, K Koszela, A Przybylak, J Przybył Scientia Horticulturae 218, 222-229, 2017 | 73 | 2017 |
| Detection of the granary weevil based on X-ray images of damaged wheat kernels P Boniecki, H Piekarska-Boniecka, K Świerczyński, K Koszela, ... Journal of Stored Products Research 56, 38-42, 2014 | 67 | 2014 |
| Neural prediction of heat loss in the pig manure composting process P Boniecki, J Dach, W Mueller, K Koszela, J Przybyl, K Pilarski, ... Applied Thermal Engineering 58 (1-2), 650-655, 2013 | 64 | 2013 |
| 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, L Gierz Computers and Electronics in Agriculture 155, 314-323, 2018 | 49 | 2018 |
| Quality assessment of microwave-vacuum dried material with the use of computer image analysis and neural model K Koszela, J Otrząsek, M Zaborowicz, P Boniecki, W Mueller, B Raba, ... Sixth International Conference on Digital Image Processing (ICDIP 2014) 9159 …, 2014 | 48 | 2014 |
| Estimation of intramuscular level of marbling among Whiteheaded Mutton Sheep lambs A Przybylak, P Boniecki, K Koszela, A Ludwiczak, M Zaborowicz, D Lisiak, ... Journal of Food Engineering 168, 199-204, 2016 | 46 | 2016 |
| Organoleptic damage classification of potatoes with the use of image analysis in production process K Przybył, M Zaborowicz, K Koszela, P Boniecki, W Mueller, B Raba, ... Sixth International Conference on Digital Image Processing (ICDIP 2014) 9159 …, 2014 | 38 | 2014 |
| Use of neural image analysis methods in the process to determine the dry matter content in the compost D Wojcieszak, J Przybył, A Lewicki, A Ludwiczak, A Przybylak, P Boniecki, ... Seventh International Conference on Digital Image Processing (ICDIP 2015 …, 2015 | 37 | 2015 |
| Use of artificial neural networks in the identification and classification of tomatoes M Zaborowicz, P Boniecki, K Koszela, J Przybył, R Mazur, S Kujawa, ... Fifth International Conference on Digital Image Processing (ICDIP 2013) 8878 …, 2013 | 36 | 2013 |
| Identification of selected apple pests based on selected graphical parameters P Boniecki, K Koszela, H Piekarska-Boniecka, K Nowakowski, J Przybył, ... Fifth international conference on digital image processing (ICDIP 2013) 8878 …, 2013 | 35 | 2013 |
| Computer image analysis in the quality in procedure for selected carrot varieties K Koszela, J Weres, P Boniecki, M Zaborowicz, J Przybył, J Dach, ... Fifth International Conference On Digital Image Processing (ICDIP 2013) 8878 …, 2013 | 35 | 2013 |
| Deep and machine learning using SEM, FTIR, and texture analysis to detect polysaccharide in raspberry powders K Przybył, K Koszela, F Adamski, K Samborska, K Walkowiak, ... Sensors 21 (17), 5823, 2021 | 34 | 2021 |
| The recognition of potato varieties using of neural image analysis method K Przybył, K Górna, D Wojcieszak, W Czekała, A Ludwiczak, A Przybylak, ... Seventh International Conference on Digital Image Processing (ICDIP 2015 …, 2015 | 33 | 2015 |
| Classification of dried vegetables using computer image analysis and artificial neural networks K Koszela, M Łukomski, W Mueller, K Górna, P Okoń, P Boniecki, ... ninth international conference on digital image processing (ICDIP 2017 …, 2017 | 30 | 2017 |
| Predicting fruit’s sweetness using artificial intelligence—case study: orange MAJ Al-Sammarraie, Ł Gierz, K Przybył, K Koszela, M Szychta, J Brzykcy, ... Applied Sciences 12 (16), 8233, 2022 | 28 | 2022 |
| Classification of dried strawberry by the analysis of the acoustic sound with artificial neural networks K Przybył, A Duda, K Koszela, J Stangierski, M Polarczyk, Ł Gierz Sensors 20 (2), 499, 2020 | 28 | 2020 |
| Software supporting definition and extraction of the quality parameters of potatoes by using image analysis K Przybył, A Ryniecki, G Niedbała, W Mueller, P Boniecki, M Zaborowicz, ... Eighth International Conference on Digital Image Processing (ICDIP 2016 …, 2016 | 28 | 2016 |