is mainly concerned with machine learning and its application in big agricultural data. He is currently working on a seed selection algorithm that has potential to increase yields for up to 10% without any additional investment in fertiliser or pesticide.
is a researcher and PhD student of Electrical Engineering on Faculty of Technical Sciences, the University of Novi Sad. His main research is data analytics on satellite images. Currently he is working on crop classification and crop yield prediction using time series of multispectral images and vegetation indices.
is dealing with the meteorological data and doing feature engineering for the crop yield prediction model. Currently he is analyzing influence of environmental conditions on maize yield, especially heat and drought stress.
is a Ph.D. student at the Faculty of Technical Sciences, the University of Novi Sad. Her particular research interests include geoinformatics, the concept of BIG data and data visualization.
is primarily concerned with remote sensing data processing in the domain of Earth observation. He is working both with optical and radar (SAR) satellite data, namely ESA’s Sentinel-1 and Sentinel-2, for monitoring crop growth, crop classification and time series analysis.
did her PhD at the Faculty of Forestry in Belgrade, observing morphology, phenology and anatomy of trees in urban and natural habitats. She is currently working as a researcher applying remote sensing techniques in phenology and phytopathology monitoring.
has a BSc in Biochemistry and Master degree in Molecular Biology. She is currently a PhD student in BioSense, working on biosensor development and molecular tools for pathogen detection.
received her Dipl.-Ing. and Ph.D. degrees in electrical and computer engineering from the Faculty of Technical Sciences, University of Novi Sad, Serbia, and is currently a research fellow at BioSense Institute. She develops data analytics methods for solving diverse challenges in agriculture such as yield prediction, genotype-phenotype mapping, unveiling the role of microbiome. Her research interests include ensemble methods, data fusion, clustering, deep learning, predictive modelling and bioinformatics methods. She is dedicated to supervision of master and PhD students in topics related to Dragon project. Within the project she also serves as Innovation manager and leader of Ethics work package that is mainly concerned with GDPR.
is a researcher and system administrator. His main research interests are wireless sensor networks and image processing. He participates in many national and international projects.
received her master's degree in Data science. Currently, she is PhD Student of Informatics and she is working on crop yield prediction using data fusion by matrix factorization algorithm.
is a researcher and Ph.D. student. Main focus of her research is telecom data analytics, which include discovering of time and space casualties in the events. At the time she is working on discovering frequent patterns in clustering analysis of telecom data.
has particular research interests in inverse imaging problems (reconstruction, denoising, deblurring). He has experience with analysis and processing of different image modalities. Currently he is working on analysis of hyperspectral images for early assessment of vegetables and fruit quality using deep neural networks.
is a researcher and PhD student. He is mainly interested in machine learning and signal processing. Currently, he is developing an algorithm for mastitis prediction in cows and working on smart crop configuration planning.
is a PhD Student of Geosciences at the Faculty of Sciences, the University of Novi Sad. Her research focus is on groundwater and also usage of geographic information system and remote sensing in the field of hydrology.
is a molecular biologist applying genetics and genomics in plant breeding for agricultural purposes. With previous experiences in trait mapping in legume species, she is shifting towards researching genotype by environment interactions for performance assessment and cereal crops breeding for improvement of abiotic stress resilience.
is researcher and a second year Ph.D. student of Electrical Engineering on Faculty of Technical Sciences, the University of Novi Sad. She is currently working on developing algorithms for early prediction yield of wheat based on RGB and thermal images and prediction of spreading fungi on tomatoes based on hyperspectral images.
is a PhD Student of Informatics, with master’s degree in Data Science. He is currently involved in Data Fusion in CNNs for Real-Time Pollen Particle Identification research, trying to classify different pollen (and in future also non-pollen) particles.
is a researcher at BioSense Institute. He graduated from the Faculty of Technical Sciences, University of Novi Sad, Department of Power, Electronic and Telecommunication Engineering. He is currently in the final year of his PhD studies at the Faculty of Technical Sciences. He has been working in the fields of GIS and remote sensing data.
is working on utilizing Unmanned Aerial Vehicles (UAV) for efficient monitoring of croplands, freshwaters, and terrains. She is a PhD student in Ecological Sciences at the Faculty of Sciences, University of Novi Sad. Her current research focus is to implement UAV technology in precision agriculture to calculate vegetation indices important for agricultural crop yield production.
received his Dipl.-Ing. and Ph.D. degrees in electrical and computer engineering from the Faculty of Technical Sciences, University of Novi Sad, Serbia, and is currently working as a researcher at the BioSense Institute. His research interests are in the fields of information theory, discrete mathematics, and bioinformatics. His research interests are in the fields of information theory, discrete mathematics, and bioinformatics.
is MSc in Geography and Ph.D. student of Geosciences at Faculty of Sciences. Her research is focused on geographic information systems and their usage in the analysis of hydrological and geomorphological processes in nature. Currently, her aim is to direct her research towards remote sensing and its applications in precision agriculture.