- Complex Systems and Time Series Analysis
- Statistical Mechanics and Entropy
- Allergic Rhinitis and Sensitization
- Climate change impacts on agriculture
- Ecosystem dynamics and resilience
- Climate variability and models
- Smart Agriculture and AI
- Crop Yield and Soil Fertility
- Lichen and fungal ecology
- Indoor Air Quality and Microbial Exposure
- Remote Sensing in Agriculture
- Meteorological Phenomena and Simulations
- Greenhouse Technology and Climate Control
- Chaos control and synchronization
- Plant Water Relations and Carbon Dynamics
- Regional Development and Management Studies
- Fluid Dynamics and Turbulent Flows
- Species Distribution and Climate Change
- Time Series Analysis and Forecasting
- Air Quality and Health Impacts
- Soil Carbon and Nitrogen Dynamics
- Rice Cultivation and Yield Improvement
- Air Quality Monitoring and Forecasting
- Fractal and DNA sequence analysis
- Heart Rate Variability and Autonomic Control
BioSense Institute
2018-2025
University of Novi Sad
2016-2025
Institute of Field and Vegetable Crops
2017
In the context of climate change, drought has been recognised as one most severe threats for agricultural production since absence water is limiting factors growth plants. this study, a regional system soil moisture prediction based on ERA5 reanalysis dataset, an open-source meteorological dataset issued by Copernicus Climate Change Service, was developed. It consisted relevant parameters Serbia, during period 2011–2020. Daily values maximum and minimum air temperature, precipitation vapour...
Yield prediction models can be divided between data-driven and process-based (crop growth models). The first category contains many different types of with parameters learned from the data themselves where domain knowledge is only used to select predictors engineer features. In second category, are based upon biophysical principles, whose structure derived primarily knowledge. Here we investigate if integration two approaches beneficial as it allows overcome limitations taken individually -...
ABSTRACT We considered shifts in the Köppen climate zones and corresponding impact on crop yields Serbia by comparing (1) results of downscaling with ECMWF Hamburg Atmospheric Model 5 (ECHAM5) regional Eta Belgrade University (EBU)‐Princeton Ocean ( POM ) model for A1B A2 scenarios over 2001–2030 2071–2100 (2) present simulations period 1961−1990. analyzed EBU‐POM complexity calculating metrics. The winter wheat, maize soybeans were evaluated Decision Support System Agrotechnology Transfer...
A broad variety of research indicates that climate change has intensified and extended meteorological droughts across parts Europe, with southern European regions experiencing particularly severe impacts (IPCC, 2012). The majority SEE countries are an increase in drought severity frequency according to a plethora research. most commonly used indicators by regional experts indexes such as SPI, SPEI, PDSI, well more specific parameters like the maximum seasonal dry spell (DS), SGI, discharge...
Information on the harvest date of crops can help with logistics management in agricultural industry, planning machinery operations and also yield prediction modelling. In this study, determination dates for different were performed by applying machine learning techniques C-band synthetic aperture radar (SAR) data. Ground truth data provided Vojvodina region (Serbia), an area intensive production, considering winter wheat, maize soybean fields exact dates, period 2017–2020, including 592...
This is the first time that atmospheric concentrations of individual pollen types have been recorded by an automatic sampler with 1-hour and sub-hourly resolution (i.e. 1-minute 1-second data). The data were collected traditional Hirst type methods state-of art Rapid-E real-time bioaerosol detector. Airborne from 7 taxa, i.e. Acer negundo, Ambrosia, Broussonetia papyrifera, Cupressales (Taxaceae Cupressaceae families), Platanus, Salix Ulmus, during 2019 season in Novi Sad, Serbia. Pollen...
Abstract We propose novel metrics based on the Kolmogorov complexity for use in complex system behavior studies and time series analysis. consider origins of discuss its physical meaning. To get better insights into nature systems analysis we introduce three measures complexity: (i) spectrum, (ii) spectrum highest value (iii) overall complexity. The characteristics these have been tested using a generalized logistic equation. Finally, proposed applied to different originating from: model...
Considerable amounts of starch granules can be present in the atmosphere from both natural and anthropogenic sources. The aim this study is to investigate variability potential origin ambient air recorded at six cities situated a region with dominantly agricultural land use. This achieved by using combination laser spectroscopy bioaerosol measurements 1 min temporal resolution, traditional volumetric Hirst type sampling atmospheric modelling. analysis wind roses identified sources airborne...
Some issues which are relevant for the recent state in climate modeling have been considered. A detailed overview of literature related to this subject is given. The concept climate, as a complex system, seen through Gödel’s theorem and Rosen’s definition complexity predictability discussed. Occurrence chaos computing environmental interface temperature from energy balance equation given difference form pointed out. coupled system equations, often used models, was analyzed. It shown that...
The drought in Serbia the summer of 2017 heavily affected agricultural production, decreasing yields maize, sunflower, soybean, and sugar beet. Monitoring moisture levels crops can provide timely information about potential risk within a growing season, thus helping to create an early warning system for various stakeholders. purpose this study was quantify level stress during consequences that it have on yields. For that, maize sunflower yield data provided by company were used at specific...
Motivated by the One Health paradigm, we found expected changes in temperature and UV radiation (UVR) to be a common trigger for enhancing risk that viruses, vectors, diseases pose human animal health. We compared data from mosquito field collections medical studies with regional climate model projections examine impact of change on spreading one malaria vector, circulation West Nile virus (WNV), incidence melanoma. analysed obtained ten selected years standardised vector sampling 219 unique...
Turbulence is often expressed in terms of either irregular or random fluid flows, without quantification. In this paper, a methodology to evaluate the randomness turbulence using measures based on Kolmogorov complexity (KC) proposed. This applied experimental data from turbulent flow developing laboratory channel with canopy three different densities. The even compared traditional approach classical statistics.
Although corn production is affected by several harmful insects, its most important pest in the southeastern region of Europe European borer (ECB), Ostrinia nubilalis Hübner, 1796 (Lepidoptera: Pyralidae). Chemical control O. remains main strategy conventional production. The key to successfully achieving a high efficiency insecticides determining appropriate moment application, including exact time insect’s life cycle when it vulnerable. In this study, monitoring data on flight dynamics ECB...
We have used the Kolmogorov complexities and complexity spectrum to quantify randomness degree in river flow time series of seven rivers with different regimes Bosnia Herzegovina, representing their type courses, for period 1965–1986. In particular, we examined: (i) Neretva, Drina (mountain lowland parts), (ii) Miljacka Una part) Vrbas Ukrina (lowland then calculated (KC) based on Lempel–Ziv Algorithm (LZA) (lower—KCL upper—KCU), highest value (KCM) overall (KCO) values each series. The...
Abstract We have used the Kolmogorov complexity ( KC ) and three suggested measures to describe of spatial distribution precipitation in Bosnia Herzegovina, for period 1960–1984. In particular, we examined monthly amount time series from 23 stations then calculated using Lempel–Ziv Algorithm LZA ), spectrum KCS highest value KCM overall OKC values each series. Our results indicate that difference may be attributed influence Adriatic Sea, relief Pannonian Basin.
Abstract In this study we used meteorological parameters and predictive modelling interpreted by model explanation to develop stress metrics that indicate the presence of drought heat at specific environment. We started from extreme temperature precipitation indices, modified some them introduced additional indices relevant analysis. Based on maize’s sensitivity stress, growing season was divided into four stages. The features were calculated throughout split in two groups, one for other...
In this paper, we consider the chaotic phenomenon and Kolomogorov complexity in computing environmental interface temperature. First, is defined context of complex system, particular for autonomous dynamical systems. Then following issues modeling procedure: (i) how to replace given differential equations by appropriate difference phenomena world? (ii) whether a mathematically correct solution corresponding equation or system always physically possible (iii) chaos systems problems, solving...
In this article we considered the extreme temperatures, precipitation and UV-B radiation in Vojvodina region, Serbia. We describe actual climate conditions for period 1981?2007 applied a dynamic downscaling technique using EBU-POM regional coupled model under SRES-A2 scenario to assess changes 2021-2100. The results indicate that warmer drier region can be expected at end of century. Projection indicates strong increase mean annual minimum much smaller maximum temperatures. both temperatures...