Center for Information Technologies

Center for Product Development

Project aim: Detection of burning crop residues after agricultural production cycle is completed.
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About the project: The problem of burning crop residues not only has consequences for the land, where on the one hand microorganisms that live in and on the land are killed, on the other hand a large amount of nutrients is destroyed, but it has a great impact on people&#8217;s lives. Not only does the crop burning cause air pollution, but several human lives have been affected by the fire in the field, as well as by accidents that are a consequence of reduced visibility. Creating a reliable system for detecting the burning of crop residues will make it possible to stop this harmful practice.

Professor in the field of computer science

Vladimir Crnojević

Milijana Vujasinović

Milijana Vujasinović is the head of Product Development Center. She has many years of experience in development and implementation of software solutions. In the development of software solutions, she was initially involved as a programmer and business analyst, and later as a solution designer and product manager. She gained a lot of experience working as an ERP consultant and project manager in implementation of software solutions in different industries – agriculture, wholesale and retail chains, food, textile, metallurgy, tool and cable, construction, service industry, metallurgy and public companies. She has SAP Financial Accounting certificate and SAP Project Manager certificate. For more than 3 years, she managed PMO (Project Management Office), the department that controls and improves the project management process.

Milica Milovanović works as junior associate at BioSense Institute since October 2019. She received a bachelor's degree from the Faculty of Sciences, University of Novi Sad, Serbia in 2019 in the area of Information technologies. Currently, her main responsibility within the BioSense Institute is developing web applications. She is developing backend in Java and Python frameworks (Spring, EJB and Django). For frontend part of applications she is working with Angular and AngularJS. She also works with databases and servers (Wildfly and Tomcat).

Milica Milovanović

Predrag Lugonja 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

Predrag Lugonja

Nastasija Grujić is a junior research assistant at the BioSense Institute and a PhD student in Geoinformatics at the University of Novi Sad, Faculty of Technical Sciences. She finished her MSc (2018) and BSc (2017) studies in Geodesy and Geomatics Engineering. During the studies, she received two Dositeja awards for the top 800 and 400 students in the country (school years 2016/2017 and 2017/2018, respectively). In late 2018, she enrolled in PhD studies and started working at the BioSense Institute. During the studies, she was twice a guest researcher at the University of Wageningen, where she got acquainted with modeling complex and stochastic systems through agent-based simulation. Her particular research interest span a wide range of data analytics, machine learning, and geoinformatics which are used for better understanding and simulating the complex spatial systems through individual and agent-based simulations. She is involved in various national and international projects, including H2020 projects ANTARES, DRAGON, and BESTMAP.

Nastasija Grujić

Mirjana Radulović is a Junior Research Assistant at the BioSense Institute with interests in remote sensing, geoinformatics, water resource management, agriculture, and the environment. She is currently enrolled as a Ph.D. student of Geosciences at the Faculty of Sciences, the University of Novi Sad where she also received her BSc (2017) and MSc (2018) in the field of hydrology and geoinformatics. During master studies, she spent five months at the Palacký University in Olomouc (Czech Republic) where she studied as a scholarship holder of the Erasmus+ Exchange Program. In March 2019 she joined the BioSense Institute where she works on applying geographical information systems and remote sensing tehnology for monitoring of irrigation, drought monitoring, crop monitoring, land use classification, groundwater monitoring, etc. She participates in several national and international projects related to these topics. Mirjana authored and co-authored several scientific papers and attended several scientific conferences.

Mirjana Radulović

Miloš Pandžić is a Junior Research Assistant whose interest includes several research fields: Earth observation, remote sensing, image processing and data analytics. He is currently enrolled as a PhD student of Geodesy and Geoinformatics at the Faculty of Civil Engineering, University of Belgrade, where he also obtained his master and bachelor degree. In 2015 he received scholarship from the Government of Austria (OeAD) and spent 4 months at TU Vienna where he analysed geometric quality of Sentinel-2 satellite multispectral images. Outcome of this work was his master thesis. After graduation he worked at the Finnish Geospatial Research Institute (FGI) on several projects funded by Academy of Finland and European Space Agency (ESA). His main occupation was segmentation and change detection in satellite imagery related to agricultural activity, urbanization and deforestation. In 2018 he joined BioSense Institute where he works on data fusion of optical and radar images for yield prediction, crop classification, crop monitoring, etc. He is involved in several national and international projects including Antares, Cybele, Dragon, PARSEC, agROBOfood.

Miloš Pandžić

Dragana Blagojević obtained BSc (2017) and MSc (2018) degrees in geography at the Faculty of Sciences in Novi Sad with a focus on geographic information systems and their use in the hydrological and geomorphological analysis. In October 2018, she enrolled in Ph.D. studies in Geosciences at the same faculty. She spent the summer semester of the master studies at the Palacký University in Olomouc (UPOL) in the Czech Republic, as a scholarship holder of the Erasmus+ Exchange Program where she studied at the Department of Geoinformatics. In January 2019 she joined BioSense Institute where she works as a Junior Research Assistant in the Centre for Information Technologies. Her research area is in the field of remote sensing, precision agriculture, yield monitoring, and mapping as well as filed work analyses. Her research aim is an integration of these techniques to get complete and precise information about filed, crops, terrain, and soil characteristics.

Dragana Blagojević

Dejan Pavlović is a researcher at BioSense Institute and a PhD student of System Control and Signal Processing at School of Electrical Engineering, University of Belgrade. His research interests cover signal processing and machine learning application, particularly focused on the field of precision agriculture. Dejan received his bachelor’s degree in Biomedical Engineering from the Faculty of Technical Sciences, University of Novi Sad and master’s degree in Electrical and Computer Engineering from School of Electrical Engineering, University of Belgrade. He is currently working in the field of data analytics developing an algorithm for the classification of multiple-behaviour patterns in cattle using Convolutional Neural Networks. He is actively involved in many projects, including Horizon 2020 projects, Antares and Dragon.

Dejan Pavlović

Branislav Pejak is a PhD student of Electrical Engineering at the Faculty of Technical Sciences, the University of Novi Sad, where he also received his BSc (2017) and MSc (2018) in the field of Biomedical Engineering. During his bachelor and master studies, he held a scholarship from the Ministry of Education, Science and Technological Development, Republic of Serbia. Since March 2018, Branislav has been working as a Junior Research Assistant at the Center for Information Technologies, BioSense Institute. 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 GAN machine learning framework. Within the project he is also working on many practical usages of ICT in agriculture such as smart soil sampling and fertilization, irrigation zone mapping, grain yield and protein content prediction etc. He is actively involved in many Horizon 2020 projects including Antares, Cybele, Dragon and AgRoboFood.

Branislav Pejak

uprava-za-agrarna-placanja 1

National

BioSense has excellent ties with the Serbian Ministry of Agriculture and Provincial Secretariat for Agriculture, Water Management and Forestry of Vojvodina. We are providing a range of solutions that help public administration get a better insight into agricultural production, achieve more efficient control of the subsidies and detect irresponsible use of farmland.

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Our solutions are mainly based on remote sensing and GIS and involve large databases of fields, farmers and acquired data. Services such as crop mapping over the region of interest are developed using Sentinel 2 satellite images and come at a 10m resolution. Crop mapping, in particular, has various purposes, from verification of subsidies to identifying burning of the fields or illegal occupation of state-owned farmland.

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Subsidies are issued for growing particular crops, constructing greenhouses or installing irrigation systems. They are numerous and in-person inspections would require large teams of government officials. Furthermore, it is very time-consuming to check the whole field, which can be tens or hundreds of hectares in size. Using our system, verifications are done remotely, using satellite image processing coupled with advanced machine learning algorithms.

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Similar technology is employed for detection of illegal activities. Traditionally, farmers had often burnt crop residues on their fields to save time and fuel needed for ploughing. This practice was abandoned in the past decades and was declared illegal, as it poses danger to humans and the environment. Also, there have been instances of occupation of state-owned farmland without bidding and paying for the rent. These and other offences are detected using satellite technology and have decreased in occurrence, thus securing safer and more eco-friendly farming, as well as higher revenues for the government.

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Other services include systems set up for various other public stakeholders, most notably for extension services. Extension services give advisory support to farmers and collect large amounts of field data. A dedicated platform based on AgroSense was set up where all the data is stored and visualised using a GIS engine. In this way, thousands of new records, as well as the historical database of field observation were digitised and gathered under one roof.

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Government

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

Centar za Informacione Tehnologije

Centar za razvoj proizvoda

Cilj projekta: Detekcija spaljivanja žetvenih ostataka posle završenog ciklusa poljoprivredne proizvodnje.
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Opis projekta: Problem spaljivanja žetvenih ostataka nema samo posledice po zemljište, gde se sa jedne strane ubijaju mikroorganizmi koji žive u i na zemljištu, s druge velika količina hranljivih materija biva uništena, već ima veliki uticaj na kvalitet života ljudi. Ne samo da zbog spaljivanja zemljišta dolazi do zagađenja vazduha već je i nekoliko ljudskih života izbuljeno što od same vatre na polju, tako i od udesa koji su posledica smanjene vidljivosti. Pravljenjem pouzdanog sistema za detekciju spaljivanja žetvenih ostatak omoguće se da se ova štetna praksa zaustavi.

Redovni profesor u oblasti računarskih nauka 

Milijana Vujasinović je rukovodilac Centra za razvoj proizvoda. Ima višegodišnje iskustvo u razvoju i implementaciju softverskih rešenje. U razvoju softverskih rešenja učestvovala je u početku kao programer i biznis analitičar, a kasnije i kao projektant rešenja i menadžer proizvoda. Bogato iskustvo je stekla radeći kao ERP konsultant i menadžer projekata u implementacijama softverskih rešenja u različitim privrednim granama – poljoprivrednoj,veleprodaji i maloprodaji, prehrambenoj industriju, tekstilnoj industriju, metalurgiji, industriji alata i kablova, građevinskoj industriju, uzlužnoj delatnost kao i u javnim preduzećima. Sertifikovani je SAP FI i SAP Project Manager. Više od 3 godine je upravljala PMO (Project Managment Office), odeljenjem koji kontroliše i unapređuje proces upravljanje projektima.

Milica Milovanovic radi kao mlađi saradnik u BioSense Institutu. Diplomirala je 2019. godine Univerzitetu u Novom Sadu na Prirodno-Matematičkom fakultetu, na smeru Informacione tehnologije. Na institutu trenutno radi na razvijanju web aplikacija. Backend implementira u Java i Python okruženjima (Spring, EJB i Django). Za frontend koristi Angular i AngularJS. Takođe radi sa bazama podataka i serverima (Wildfly i Tomcat).

Predrag Lugonja je istraživac na Institutu BioSens. Diplomirao je na Departmanu za Energetiku, elektroniku i telekomunikacije Fakulteta tehničkih nauka Univerziteta u Novom Sadu. Student je završne godine doktorksih studia na Fakulteta tehničkih nauka Univerziteta u Novom Sad. Trenutno se bavi istraživanjem na poljima GIS i podataka koje su dobijeni daljinskom detekcijom.

Nastasija Grujić je istraživač pripravnik na Institutu BioSens i student doktorskih studija geoinformatike na Univerzitetu u Novom Sadu, na Fakultetu tehničkih nauka. Završila je master (2018) i osnovne akademske studije (2017) u oblasti geodezije i geomatike. Tokom studija je dobila dve Dositejeve nagrade za najboljih 800 i 400 studenata u državi (školske godine 2016/2017 i 2017/2018 redom). Na kraju 2018. godine je upisala doktorske studije i počela je raditi na Institutu BioSens. Tokom studija je bila dva puta gostujući istraživač na Univerzitetu u Vageningenu, gde se upoznala sa agentskim modelovanjem kompleksnih i stohastičkih sistema. Njena interesovanja uključuju širok spektar analitike podataka, mašinskog učenja i geoinformatike koji se koriste za bolje razumevanje i simulaciju kompleksnih prostornih sistema pomoću agentskih simulacija. Učesnik je na raznim nacionalnim i internacionalnim projektima, uključujući i H2020 projekte ANTARES, DRAGON i BESTMAP.

Mirjana Radulović je istraživač-pripravnik na Institutu Biosens čija interesovanja su okrenuta ka daljinskoj detekciji, geoinformatici, upravljanju vodnim resursima, poljoprivredi i životnoj sredini. Ona je trenutno student doktorskih studija geonauka na Prirodno-matematičkom fakultetu, Univerzitetu u Novom Sadu gde je takođe stekla diplomu osnovnih (2017) i master studija (2018) u oblasti hidrologije i geoinformatike. Tokom master studija pet meseci provela je na Univerzitetu Palacký u Olomoucu (Republika Češka), gde je studirala kao stipendista Erasmus + programa razmene. U martu 2019. godine pridružuje se Institutu Biosens gde radi na primeni geografskih informacionih sistema i tehnologija daljinske detekcije za praćenje navodnjavanih površina, suše, stanja useva, klasifikaciju iskoristivosti zemljišta, praćenje podzemnih voda itd. Učestvuje na nekoliko nacionalnih i internacionalnih projekata vezanih za navedene teme. Bila je autor i koautor na nekoliko radova i prisustvovala je na nekoliko naučnih konferencija.

Miloš Pandžić je istraživač pripravnik čije interesovanje pokriva nekoliko istaživačkih oblasti: osmatranje Zemlje, daljinsku detekciju, obradu slike i analitiku podataka. Trenutno je student doktorskih studija odseka za Geodeziju i geoinformatiku na Građevinskom fakultetu, Univerziteta u Beogradu, gde je takođe završio i osnovne i master akademske studije. U 2015. godini dobio je stipendiju vlade Austrije (OeAD) i proveo 4 meseca na Tehničkom univerzitetu u Beču gde je analizirao geometrijski kvalitet Sentinel-2 satelitskih multispektralnih snimaka. Iz ovog istraživanja je proizašao i Milošev master rad. Nakon završetka studija, radio je u Finskom geoprostornom istraživačkom institutu (Finnish Geospatial Research Institute - FGI) na više projekata finansiranih od strane Finske Akademije i Evropske svemirske agencije. Tu je radio na segmentaciji i detekciji promena na satelitskim slikama za potrebe poljoprivrede, urbanizma i šumarstva. U 2018. godini pridružio se Institutu BioSens gde radi na fuziji podataka optičkih i radarskih slika za procenu prinosa, klasifikaciju useva, praćenje razvoja useva, itd. Učestvuje u realizaciji nekoliko nacionalnih i internacionalnih projekata uključujući Horizon 2020 projekte Antares, Cybele, Dragon, PARSEC i agROBOfood.

Dragana Blagojević je završila osnovne (2017) i master (2018) akademske studije smer geograf-geoinformatičar na Departmanu za geografiju, turizam i hotelijerstvo na Prirodno-matematičkom fakultetu u Novom Sadu. Njena istraživanja za završne radove su obuhvatala upotrebu geografskih informacionih sistema u analizi hidroloških i geomorfoloških procesa u prirodi. Na istom fakultetu, u oktobru 2018. godine upisuje doktorske studije, smer – Geonauke. Letnji semestar master studija provela je u Češkoj na Departmanu za Geoinformatiku na Palacki Univerzitetu u Olomoucu kao stipendista Erasmus+ programa razmene studenata. U januaru 2018. godine počinje da radi na Institutu BioSens gde je zaposlena kao istraživač-pripravnik u okviru Centra za informacione tehnologije. Njeni domeni istraživanja su daljinska detekcija, precizna poljoprivreda, monitoring i mapiranje prinosa, kao i analiza podataka dobijenih na terenu. Cilj njenog istraživanja je integracija ovih tehnika kako bi se dobila kompletna i precizna informacija o stanju poljoprivredne parcele, useva, fizičkih karakteristika terena i zemljišta.

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Dejan Pavlović je istraživač na Institutu Biosens i student doktorskih studija na Elektrotehničkom fakultetu, Univerziteta u Beogradu. Njegovo primarno interesovanje obuhvata obradu signala i primenu mašinskog učenja u poljoprivredi. Dejan je stekao zvanje diplomiranog inženjera biomedicinskog inženjerstva na Fakultetu tehničkih nauka, Univerziteta u Novom Sadu i zvanje master inženjera elektrotehnike i računarstva na Elektrotehničkom fakultetu, Univerziteta u Beogradu. Trenutno radi na razvoju algoritma za klasifikaciju različitih aktivnosti kod krava primenom Konvolucionih neuralnih mreža. Učestvuje u realizaciji nekoliko nacionalnih i internacionalnih projekata uključujući Horizon 2020 projekte, Antares i Dragon.

Branislav Pejak je student doktorskih studija Elektrotehničkog i kompjuterskog inženjerstva na Fakultetu tehničkih nauka, Univerziteta Novi Sad, na kojem je takođe završio osnovne (2017) i master (2018) studije u oblsti Biomedicinskog inženjerstva. Tokom osnovnih i master studija bio je stipendista Ministarstva obrazovanja, nauke i tehnološkog razvoja, Republike Srbije. Od marta 2018. godine zaposlen je u Centru za informacione tehnologije, Instituta BioSens, na poziciji mlađeg istraživača. Tema njegovog istraživanja je analiza podataka sa satelitskih snimaka. Trenutno se bavi razvojem GAN algoritama mašinskog učenja za klasifikaciju i predikciju prinosa na bazi multispektralnih satelitskih snimaka. Aktivno je uključen u mnoge projekte sa poziva Horizont 2020, među kojima su Antares, Cybele, Dragon i AgRoboFood koji imaju za cilj upotrebu informaciono-komunikacionih tehnologija u poljoprivredi poput kreiranja mapa za selektivno uzorkovanje i đubrenje zemljišta, detekciju navodnjavanih površina, procenu prinosa i proteinskog sastava useva.

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Nacionalni

BioSens ima odličnu saradnju sa Ministarstvom poljoprivrede Republike Srbije i Pokrajinskim sekretarijatom za poljoprivredu, vodoprivredu i šumarstvo Vojvodine. Za njih smo razvili brojna rešenja koja pomažu javnoj upravi da stekne bolji uvid u poljoprivrednu proizvodnju, postigne efikasniju kontrolu subvencija i otkrije neodgovorno korišćenje poljoprivrednog zemljišta.

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Naša rešenja se uglavnom baziraju na daljinskom istraživanju i GIS-u i uključuju velike baze podataka o poljima, poljoprivrednicima i prikupljenim podacima. Usluge poput mapiranja useva u regionu od interesa razvijaju se pomoću satelitskih snimaka Sentinel 2 i imaju rezoluciju od 10m. Mapiranje useva ima različite svrhe, od verifikacije subvencija do identifikovanja paljenja polja ili ilegalnog zauzimanja državnog poljoprivrednog zemljišta.

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Subvencije se daju za uzgoj određenih useva, izgradnju staklenika ili instaliranje sistema za navodnjavanje. One su brojne, a za inspekciju i proveru pravilnog korišćenja svake ponaosob, potrebni su veliki timovi državnih službenika. Takođe, provera celog polja koje može biti veliko desetine ili stotine hektara zahteva mnogo vremena. Zahvaljujući sistemu koji smo razvili, verifikacije se vrše na daljinu, uz satelitsku obradu slika zajedno sa naprednim algoritmima mašinskog učenja.

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Slična tehnologija se koristi za otkrivanje ilegalnih aktivnosti. Tradicionalno, poljoprivrednici su često spaljivali ostatke useva na svojim poljima kako bi uštedeli vreme i gorivo potrebno za oranje. Ova praksa se ne primenjuje proteklih decenija i proglašena je ilegalnom, jer predstavlja opasnost za ljude i životnu sredinu. Takođe, bilo je slučajeva zauzimanja poljoprivrednog zemljišta u državnom vlasništvu bez nadmetanja i plaćanja zakupnine. Ovi i drugi prekršaji otkriveni su satelitskom tehnologijom i njihov obim je smanjen, čime se osigurava sigurnija i ekološki prihvatljivija poljoprivreda, kao i veći prihodi vlade.

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Ostale usluge uključuju sisteme postavljene za razne druge javne aktere, a posebno za savetodavne usluge. Savetodavne usluge pružaju savetodavnu podršku poljoprivrednicima i prikupljaju velike količine podataka na terenu. Postavljena je namenska platforma zasnovana na AgroSense-u gde se svi podaci čuvaju i vizualizuju pomoću GIS mehanizma. Na taj način su hiljade novih zapisa, kao i istorijska baza podataka posmatranja na terenu digitalizovane i prikupljene pod jednim krovom.

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Saradnja sa Državnom upravom

Detekcija spaljivanja žetvenih ostataka nakon završenog ciklusa poljoprivredne proizvodnje na poljoprivrednom zemljištu u državnoj svojini na teritoriji Republike Srbije

Detekcija spaljivanja žetvenih ostataka nakon završenog ciklusa poljoprivredne proizvodnje na poljoprivrednom zemljištu u državnoj svojini na teritoriji Republike Srbije

Teme:

Ljudi:

Centri:

CIT

CRP