Center for Information Technologies

Satellites, drones, sensors, and hyperspectral cameras are producing vast amounts of data about the plants. Center for Information Technologies applies advanced machine learning techniques to model the processes happening within biosystems, optimize the decision-making and extract valuable knowledge from long streams of heterogeneous data. Our research focuses on processing of data obtained from various devices, including satellites, soil probes, handheld sensors, and a range of specialized cameras. We are applying techniques of denoising, segmentation and data fusion to prepare the datasets for further analysis through machine learning.

Themes

Hyperspectral, multispectral and thermal imaging

Remote sensing and geoinformatics

Robotic sensing

Geospatial data analytics

Artifical Intelegence

Agrobot for in-field soil analysis

With the advancement of variable rate technologies (VRT) used for...

Drone Imaging

At Biosense Institute we are using quadcopter DJI Inspire 1...

Satellite imaging

BioSense is the location of a Sentinel Data Hub and...

Sentinel Data Hub

European Space Agency (ESA) has launched a constellation of Sentinel...

Knowledge discovery

With the occurrence of non-parametric machine learning models and especially...

Machine Learning

The goal of BioSense’s AI Group is to get a...

Feature Engineering

Machine learning and domain expertise are often viewed as two...

Deep Learning

Deep learning is a rather new method of machine learning,...

Bioinformatics

Biological sciences currently produce a wealth of data, especially on...

Big Data Analytics

The most of BioSense’s research in Big Data is currently...

Projects

Horizon Europe

FoodSafeR - A joined-up approach to the identification, assessment and management of emerging food safety hazards and associated risks

National

Detection of usurped state-owned agricultural land and detection of burning of crop residues on the territory of APV

EUREKA

EUREKA WaQuMoS - Water Quality Monitoring System with Multi-Parameter IoT Sensor Nodes for Proactive Water Resource Management, 2019-2022, E!13044

Horizon 2020

Code: Re-farm – Consumer-driven demands to reframe farming systems

National

Detection of burning crop residues after the completion of the cycle of agricultural production on state-owned agricultural land in the territory of the Republic of Serbia

Horizon 2020

BESTMAP-Behavioural, Ecological and Socio-economic Tools for Modelling Agricultural Policy

National

Novel Active Ingredients for Health- and Enviroment-friendly UV-Blocking Based on Enriched Organosilica Nanomaterials

National

AITool4WYP - Artificial intelligence-driven tool for early wheat yield prediction

Horizon 2020

FLEXIGROBOTS-Flexible robots for intelligent automation of precision agriculture operations

National

BREATHE - Real-time detection and quantification of bioaerosols relevant for human and plant health

National

Optimization of sampling location and number of soil samples based on processing of satellite images of plots and zoning in order to reduce costs

National

The use of satellite images during the growing season in order to visualize crop variation and develop maps for rational variable nitrogen supplementation

Horizon 2020

SHEALTHY- Non-Thermal physical technologies to preserve fresh and minimally processed fruit and vegetables

Horizon 2020

PROTEIN - PeRsOnalized nutriTion for hEalthy living

Horizon 2020

PARSEC - Promoting the internAtional competitiveness of European Remote Sensing companies through Cross-cluster collaboration

Horizon 2020

DRAGON -Data Driven Precision Agriculture Services and Skill Acquisition

Horizon 2020

CYBELE-FOSTERING PRECISION AGRICULTURE AND LIVESTOCK FARMING THROUGH SECURE ACCESS TO LARGE-SCALE HPC-ENABLED VIRTUAL INDUSTRIAL EXPERIMENTATION ENVIRONMENT EMPOWERING SCALABLE BIG DATA ANALYTICS

Horizon 2020

ANTARES- Centre of Excellence for Advanced Technologies in Sustainable Agriculture and Food Security

Green Innovation Vouchers

Smart eco-friendly irrigation system based on advanced machine learning

National

Application of modern information technologies in vocational agricultural schools and agricultural stations

National

Analysis of collected data using unmanned aerial vehicles

National

Development of new information and communication technologies using advanced mathematical methods for the applications in medicine, telecommunications, power, national heritage protection and education

National

Development of the device for measurement and mapping of nitrogen as the most important parameter in sustainable agriculture

National

Application of NDVI sensors in wheat production and breeding programs

National

Application of remote sensing in water quality assessment and vegetation mapping

National

Remote sensing of phenological changes

National

AgroSense APV

FP7

INNOSENSE-Reinforcement of BioSense Center – ICT for Sustainability and Eco-Innovation

COST

ML4Microbiome- COST Action CA18131 Statistical and machine learning techniques in human microbiome studies

COST

cHiPSet- COST Action IC1406 High-Performance Modelling and Simulation for Big Data Applications

People

Head of the Center for Information Technologies

Senior Research Associate

Sanja Brdar

Senior research associate in CIT

Senior research associate

Katarina Ristić

Expert advisor in CIT

Marina Ljubenović

Junior researcher

Valerijan Matvejev

Junior Research Assistant in CIT

Junior research assistant

Kristina Vajda

Senior researcher

Scientific associate

Maria Kireeva

Junior researcher

Mining engineer - geologist

Polina Maglevannaia

Junior research assistant

Ivana Miličić

Senior professional associate CIT

Senior professional associate

Milan Stanojković

Senior professional associate CIT

Senior professional associate

Aleksa Vučaj

Research Assistant in CIT

Research assistant

Maksim Lalić

Research Assistant in CIT

Research assistant

Marija Kopanja

Research Assistant in CIT

Research assistant

Milica Brkić

Research Associate in CIT

Research Associate

Željana Grbović

Director of the BioSense Institute

Principal Research Fellow

Vladimir Crnojević

Research Assistant in CIT

Research assistant

Vladan Filipović

Technical advisor

Predrag Lugonja

Senior research associate

Senior Research Associate in the field of technical/technological sciences-electronics, telecommunications, and information technologies

Oskar Marko

Research Assistant in CIT

Research assistant

Nina Pajević

Research Associate in CIT

Research associate

Nikola Obrenović

Research Assistant in CIT

Research assistant

Mirjana Radulović

Research Assistant in CIT

Research assistant

Miloš Pandžić

Research Assistant in CIT

Research assistant

MIljana Marković

Senior research associate

Senior Research Associate in the field of technical/technological sciences- information technologies

Marko Panić

Senior research associate in CST

Senior research associate

Gordan Mimić

Research Assistant in CIT

Research assistant

Dragana Blagojević

Research Assistant in CIT

Research assistant

Dimitrije Stefanović

Research Assistant in CIT

Research assistant

Dejan Pavlović

Research Assistant in CIT

Research assistant

Branislav Živaljević

Research Assistant in CIT

Research assistant

Branislav Pejak

Research trainee

Anja Šepa

Research Assistant in CIT

Research Assistant

Andrea Simeon