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Marko Panić
Marko Panić
Researcher at BioSense Institute
Verified email at biosense.rs
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Cited by
Year
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
1032019
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
512019
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
362016
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
352022
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
342018
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
242017
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
232018
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
172022
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
152017
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
142022
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
132019
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
122020
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
112014
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
102022
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
82020
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
82016
Automatic hoverfly species discrimination
B Brkljač, M Panić, D Ćulibrk, V Crnojević, J Ačanski, A Vujić
International Conference on Pattern Recognition Applications and Methods 2 …, 2012
72012
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
62023
Do we need continuous sampling to capture variability of hourly pollen concentrations?
B Sikoparija, G Mimić, P Matavulj, M Panić, I Simović, S Brdar
Aerobiologia 36, 3-7, 2020
62020
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
42021
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