| Automatic pollen recognition with the Rapid-E particle counter: the first-level procedure, experience and next steps I Šaulienė, L Šukienė, G Daunys, G Valiulis, L Vaitkevičius, P Matavulj, ... Atmospheric Measurement Techniques 12 (6), 3435-3452, 2019 | 112 | 2019 |
| A new low-cost portable multispectral optical device for precise plant status assessment G Kitić, A Tagarakis, N Cselyuszka, M Panić, S Birgermajer, D Sakulski, ... Computers and electronics in agriculture 162, 300-308, 2019 | 60 | 2019 |
| Soybean varieties portfolio optimisation based on yield prediction O Marko, S Brdar, M Panic, P Lugonja, V Crnojevic Computers and Electronics in Agriculture 127, 467-474, 2016 | 47 | 2016 |
| RealForAll: real-time system for automatic detection of airborne pollen D Tešendić, D Boberić Krstićev, P Matavulj, S Brdar, M Panić, V Minić, ... Enterprise Information Systems 16 (5), 1793391, 2022 | 37 | 2022 |
| High temporal resolution of airborne Ambrosia pollen measurements above the source reveals emission characteristics B Šikoparija, G Mimić, M Panić, O Marko, P Radišić, T Pejak-Šikoparija, ... Atmospheric Environment 192, 13-23, 2018 | 37 | 2018 |
| How to prepare a pollen calendar for forecasting daily pollen concentrations of Ambrosia, Betula and Poaceae? B Šikoparija, O Marko, M Panić, D Jakovetić, P Radišić Aerobiologia 34, 203-217, 2018 | 27 | 2018 |
| Agrobot Lala—an autonomous robotic system for real-time, in-field soil sampling, and analysis of nitrates G Kitić, D Krklješ, M Panić, C Petes, S Birgermajer, V Crnojević Sensors 22 (11), 4207, 2022 | 26 | 2022 |
| Portfolio optimization for seed selection in diverse weather scenarios O Marko, S Brdar, M Panić, I Šašić, D Despotović, M Knežević, ... PloS one 12 (9), e0184198, 2017 | 26 | 2017 |
| Soya yield prediction on a within-field scale using machine learning models trained on Sentinel-2 and soil data B Pejak, P Lugonja, A Antić, M Panić, M Pandžić, E Alexakis, P Mavrepis, ... Remote sensing 14 (9), 2256, 2022 | 20 | 2022 |
| Why should we care about high temporal resolution monitoring of bioaerosols in ambient air? M Smith, P Matavulj, G Mimić, M Panić, Ł Grewling, B Šikoparija Science of the Total Environment 826, 154231, 2022 | 19 | 2022 |
| Investigation of the surface interactions of selected amides with mesoporous silica using FTIR spectroscopy and hyperspectral imaging B Jović, M Panić, N Radnović, K Živojević, M Mladenović, V Crnojević, ... Journal of Molecular Structure 1219, 128562, 2020 | 18 | 2020 |
| Sparse recovery in magnetic resonance imaging with a Markov random field prior M Panić, J Aelterman, V Crnojević, A Pižurica IEEE transactions on medical imaging 36 (10), 2104-2115, 2017 | 18 | 2017 |
| Wheat ear detection in RGB and thermal images using deep neural networks Z Grbovic, M Panic, O Marko, S Brdar, V Crnojevic environments 11 (12), 13, 2019 | 17 | 2019 |
| Advanced CNN architectures for pollen classification: Design and comprehensive evaluation P Matavulj, M Panić, B Šikoparija, D Tešendić, M Radovanović, S Brdar Applied Artificial Intelligence 37 (1), 2157593, 2023 | 11 | 2023 |
| Explainable AI for unveiling deep learning pollen classification model based on fusion of scattered light patterns and fluorescence spectroscopy S Brdar, M Panić, P Matavulj, M Stanković, D Bartolić, B Šikoparija Scientific Reports 13 (1), 3205, 2023 | 11 | 2023 |
| engineering Meteorological features to Select Stress tolerant Hybrids in Maize G Mimić, S Brdar, M Brkić, M Panić, O Marko, V Crnojević Scientific reports 10 (1), 3421, 2020 | 11 | 2020 |
| Image processing method for automatic discrimination of hoverfly species V Crnojević, M Panić, B Brkljač, D Ćulibrk, J Ačanski, A Vujić Mathematical Problems in Engineering 2014 (1), 986271, 2014 | 11 | 2014 |
| Predicting sensitivity of recently harvested tomatoes and tomato sepals to future fungal infections S Brdar, M Panić, E Hogeveen-van Echtelt, M Mensink, Ž Grbović, ... Scientific Reports 11 (1), 23109, 2021 | 9 | 2021 |
| Compressed sensing in MRI with a Markov random field prior for spatial clustering of subband coefficients M Panić, J Aelterman, V Crnojević, A Pižurica 2016 24th European Signal Processing Conference (EUSIPCO), 562-566, 2016 | 8 | 2016 |
| Speeding up UAV-based crop variability assessment through a data fusion approach using spatial interpolation for site-specific management S Vélez, M Ariza-Sentís, M Panić, B Ivošević, D Stefanović, J Kaivosoja, ... Smart Agricultural Technology 8, 100488, 2024 | 7 | 2024 |
Vladimir CrnojevicBioSense InstituteEmail được xác minh tại biosense.rs