10 ongoing projects

 

LARES project history

 


 


FoodMAPP DECIDE REWAiSE Resurgence NACHIP
HyEfRE Danube Indeet Dodola EU Core MLBattProt

Details about past projects can be found HERE while more details on ongoing projects can be found below. 
All projects are organized according to their final year of completion.

 

2030

EU-CORE -- EUropean master on COntrol of Renewable Energy systems

The EU-CORE Project (“EUropean master on COntrol of Renewable Energy systems”) developes and runs a 2-year Joint Master’s Degree study programme. Its implementing universities are École Centrale de Nantes (ECN), Brandenburg University of Technology Cottbus-Senftenberg (BTU) and University of Zagreb (UNIZG). On UNIZG side the implementing faculty is University of Zagreb Faculty of Electrical Engineering and Computing (UNIZG-FER) and involved teachers in its execution belong to UNIZG-FER's laboratories Laboratory for Renewable Energy Systems (LARES) and Smart Grid Laboratory (SGL). Part of the programme on Croatian language and culture is performed by teachers from University of Zagreb Faculty of Humanities and Social Sciences.

The objective is to train top-level world-wide engineers in the design of advanced technologies of Renewable Energy Systems Control and contribute to the creation of a new generation of graduates needed to secure European environmental and energy ambitions of the “Green Deal”. Thanks to a selection of top-level academic and industrial partners, the skills developed throughout the EU-CORE project will be keys to a large number of positions and careers in the renewable energy industry. The Consortium partners complementarity makes students attend specific fields, in which the partners are internationally recognized. Thus, students will be trained in Wind Energy System Control, Energy Storage Management, Control of Solar and Hydrogen Systems and their integration into the grid. To be fully in line with labour market requirements, the Academic Programme is completed by soft/transferable skills training during Winter/Summer Schools. By this way, EU-CORE offers a high permeability between education, research, innovation, soft-skills, industrial needs, and environmental concerns. The Programme delivers a Joint Degree. EU-CORE will train future experts in the RES field and will consequently contribute to the EU climate-neutral objectives by 2050.

UNIZG-FER (LARES and SGL) implements teaching activities of the second (summer) semester when topics of smart energy management relied on artificial intelligence, solar energy and green energy grid integration are in focus, and shares with the other partners as well as industry and academic associated partners the students internships and diploma theses development in the final fourth semester.

 

 

 


2028


2027

FoodMAPP – Localised, transparent and efficient food supply chain

The European strategic plan to fight climate change requires impactful changes to the food industry and a reduction in food waste, as well as a change in the fragile, complicated supply chain of industrial-scale food producers and the creation of a novel, fair and sustainable food industry. The project is funded from Horizon Europe MSCA Staff Exchange call and is coordinated by UNIZG-FER through LARES. It aims at the transformation of food supply by enabling and promoting transparent local provision from local producers, including family farmers, and processors directly to consumers. It will gather extensive market intelligence from all stakeholders to understand market demand and preferences towards localised food supply transparency. This research will inform the development of a dynamic searchable map-based platform enabling local providers to supply and sell produce directly to consumers.

RESURGENCE - Industrial Water Circularity: Reuse, Resource Recovery and Energy Efficiency for Greener Digitised EU Processes

The overall objective of RESURGENCE is boosting the transformation of EU process industries into Wastewater (WW) Resource Recovery Facilities (WWRRF) to achieve 3 of the key EU 2050 objectives: climate neutrality, circularity, and competitiveness (3KC). For this purpose, a comprehensive portfolio of modular & flexible treatments and digital technologies will be developed to maximise water and energy recovery & efficiency, increasing Industrial Wastewater (IWW) valorisation. To this end, a variety of IWW will be addressed in RESURGENCE with different characteristics - high organic and/or inorganic (metal) content, high concentration of suspended solids, presence of persistent organic pollutants, extreme pH, low-quality heat - to demonstrate the versatility of the RESURGENCE concept. In a cross-cutting approach, an array of cutting-edge digital tools and solutions will be deployed as well, to provide fast and intelligent prediction in a decision support tool (DST), based on water and energy efficiency models, new sensors, optimization, AI-based tools, and Digital Twins. Through these combined green and digital solutions, maximum IWW valorisation will be achieved, recovering water, energy (heat, biogas, H2 and electricity) and a range of feedstocks: bioactive phenols, biopolymers; materials (cellulose, lignin, latex and, acrylic polymers); inorganic substances (phosphate and N); metals (Mg and Cu;critical raw materials  Mo, Fe and Ca); as well as biochar and Metal Organic Framework  from sludge. To ensure techno-economic feasibility and wide application, RESURGENCE technologies will be cross-sectoral, modular & easily integrable with current ones, so that, existing IWW treatment plants can incorporate the new solutions and advance towards near Zero Liquid and Landfilling Discharge, bringing substantial  environmental, social & economic benefits while ensuring competitiveness, together with a positive impact on EU science & innovation and regulatory framework.
This project has received funding from the European Union’s Horizon Research and Innovation Programme under Grant Agreement N. 101138097.

UNIZG-FER/LARES is in RESURGENCE focussed on the development of a decision support tool for optimal joint sizing and operation of wastewater treatment subprocesses in the industrial wastewater treatment chain, and on short-term ahead optimal integration of the wastewater segment of the industry plant into the total plant operation.

NACHIP - North Adriatic Clean Hydrogen Investment Platform 

Hydrogen Ecosystem of the North Adriatic region comprising Croatia, Friuli-Venezia Giulia, Autonomous Region of Italy, and Slovenia, is expanding thanks also to a newly launched initiative North Adriatic Clean Hydrogen Investment Platform (NACHIP). NACHIP focuses on validating and demonstrating clean hydrogen technologies across three key value chains: manufacturing, urban areas, and mobility. NACHIP aims to pilot solutions for generating, converting, transmitting, storing, and utilizing clean hydrogen.
A grant of 7.6 million euro has been awarded through the I3 Instrument, which aims to empower innovation with advisory and financial support, and guide projects in joint smart specialisation areas toward successful commercialisation and scale-up. The grant is provided by the European Union from the European Regional Development Fund (ERDF). The Fund supports interregional portfolios of companies’ investments bringing innovation to the market at high technology readiness levels (TRL 6-9) to reshape EU interregional value chains. 
Through NACHIP 12 consortium partners led by Jožef Stefan Institute will implement a replicable acceleration concept, integrate and scale advanced hydrogen-related technologies, first, by focusing on five pilot projects and, next, by involving up to 18 interested SMEs into the three target value chains. NACHIP will support their integration into the ecosystem by the means of cascade financing, predominantly destined to less developed regions of the North Adriatic Hydrogen Valley (NAHV) ecosystem. In the future, a governance model based on local hydrogen alliances will be validated and replicated to strengthen target value chains, particularly in the urban areas.

UNIZG-FER develops in NACHIP through LARES a decision support tool relied on mathematical optimization that at the same time sizes the investment in green hydrogen production and provides its optimal operation. In this way the investment is de-risked and optimally built in the local hydrogen ecosystem.


2026

Dodola - Predictive control for efficient and flexible water distribution system operation

Traditional water distribution systems are often operated based on manual flow and pressure settings for individual pumps or valves, typically set by the operator’s experience or predefined schedules.  Autonomous control loops are often added to regulate pump operations, ensuring water levels in reservoirs—and consequently, system pressures—remain within specified limits. Most systems are monitored through basic SCADA (Supervisory Control and Data Acquisition) systems, enabling operators to observe key parameters and make ad-hoc interventions when needed.
This type of system operation is quite conservative, relying on predefined control actions to ensure adequate pressure levels at system endpoints. However, it overlooks operational costs associated with energy consumption and water losses and fails to leverage the potential for participation in power grid ancillary service markets. Such opportunities arise from the flexibility inherent in managing water reservoir levels.
Dodola offers an innovative approach to minimizing water losses and optimizing electricity usage in water distribution systems.
Target groups include the applicant and partners, external collaborative research organizations and companies, as well as researchers at the international level and potential customers of Dodola solution.
The project will improve the cooperation between research organizations (University of Zagreb Faculty of Electrical Engineering and Computing) and companies (Končar - Digital d.o.o. and Vodne usluge d.o.o.) and will also improve the capacity of the companies for research, development and innovation by conducting collaborative applied research on predictive control for efficient and flexible operation of water distribution systems. 
The project is funded by the European Union through the Croatian National Resilience and Recovery Plan.

UNIZG-FER develops through LARES the artificial intelligence procedures mainly comprised of predictive control and machine learning that enable reliable water supply at minimized operating costs for the water distribution company.

 

HyEfRe -  Hydrogen integration for efficient renewable energy systems

HyEfRe counteracts challenges related to low integration and balancing of fluctuating renewable energy sources (wind and photovoltaic), suboptimal energy efficiency and lack of carbon-neutrality in Central European energy systems, resulting in high energy prices and climate change. Sector-coupling via hydrogen is a promising solution to mitigate these obstacles. Transnational cooperation will reinforce local /regional learning curves for green hydrogen integration.
The project will increase affordability, efficiency and sustainability of renewable energy systems in central Europe by fostering an investment-friendly environment for renewable energy and green hydrogen technologies integrated with regard to energy efficiency and balancing, via an innovative holistic approach. The project partners will evaluate hydrogen potentials with new models and develop and test a new tool to calculate ideal parameters for technical plants. The project’s action plan for policy actors aims to reduce the regulatory barriers impeding a timely expansion of renewables and green hydrogen.
The project is funded by the European Regional Development Fund through the Interreg Central Europe Programme.

UNIZG-FER is through LARES on HyEfRe focussed on developing an open software tool for optimal sizing and operation scheduling of renewable energy, conversion and storage setups around power-to-hydrogen (electrolyzers) and hydrogen-to-power (fuel cells) elements based on different technologies, for various local technical, market and regulatory conditions of Central Europe.

Danube Indeet - Integrated and decentralised concept rethinking energy and transport systems based on renewable energy in the Danube region

Danube Indeet suggests a concept that supports the expansion of renewable energy production and increase of renewable energy consumption in transport and industry sectors. The main idea is to integrate electrified transport and hydrogen production into the energy systems in order to efficiently make use of renewable electricity, without putting too much strain on the electricity grids.
During the project, local infrastructure frameworks will be analysed in each participating region and already existing approaches for renewable energy integration will be examined. The data feeds into a computation model based on mathematical optimisation to obtain ideal green infrastructure setup in terms of operation and economics. The model will be tested, validated and refined in six pilot regions as well as against theoretical scenarios. The results combined with the conclusion of the analysis of the legal framework provide ample basis for policy recommendations and the strategy for integrated energy and transport systems in the Danube region. To ensure embedding of project outcomes, further investigations will be conducted into the acceptance factors and levels behind vehicle-to-grid (V2G), hydrogen applications and other concepts touched upon by the project. These results will be disseminated, discussed and further taken up in the frame of policy cooperation and networking activities, thus contributing to a greener, more energy- efficient Danube Region.
The project is funded by the European Regional Development Fund through the Danube Region Programme.

UNIZG-FER acts on Danube Indeet through LARES who develops an open tool for sizing and operating green energy, hydrogen and vehicle charging infrastructure, based on currently scarce data on electric vehicles charging needs and local hydrogen needs by industry and transport. For the case of electric vehicles charging needs probabilistic framework is developed to transpose the charging data available from elsewhere around the globe into the Danube region.

 

MLBattProt - Machine learning based model of battery cell aging used in computational geometry for on-line battery pack health protection

In the project, a large amount of experimental data from a battery cell is used to create a mathematical model that describes the aging of a battery cell, which is predominantly manifested in its capacity reduction and increase in internal resistance. This model is then used in the project together with a classic model of a battery cell that models its current-voltage behavior and charge level to determine by using computational geometry procedures the so-called protection set, i.e. combinations of its charge states, currents, voltages and aging parameters at which the cell degradation rate is less than a given threshold. Such a set is then implemented in a battery management system (BMS) in order to calculate which battery charging profiles are acceptable over a certain short time horizon in advance, typically a few seconds. This gives other systems in the car full information on all the dynamic ways in which they can use the power from the battery without degrading it more than the specified threshold.

The project is funded by the European Union through National Recovery and Resilience Plan for Croatia.

The team of UNIZG-FER (LARES and Laboratory for Financial and Risk Analytics members) develops together with the team of coordinator Rimac Technology d.o.o. the entire procedure on one specific type of battery cell, but the process is universal due to the principles of machine learning and computational geometry used and is aimed to be applicable for different battery cells and their chemistries.


2025

 

DECIDE – Distributed Control for Dynamic Energy Management of Complex Systems in Smart Cities

In buildings, the world largest consumers, ICT is a fruitful area for integration of different technologies aimed to increase the energy efficiency, i.e. to achieve zero-energy buildings. High-tech equipment and highly expert staff are required, together with long-running modelling and consumption forecast procedures, which is the highest economic barrier for implementation of the new technologies, with return of unacceptable investment prognoses of above 10 years. By integration with renewable sources and microgrids, the buildings are becoming capable of active participation in the distributed energy market as energy-independent units, which finally enables the trend of smart cities.
The proposed methodology, aimed to be developed within the DECIDE project, uses two basic approaches: distributed optimal control among subunits of the same subsystem and hierarchical optimal control between different levels (subsystems). Distributed control implies the game theory application and mutual bidding of individual (local) interests of the subunits of a complex system.
The methodology starts with joining of these several approaches and aims at utilization of advantages of each approach, and also incorporates the acquired experience of LARES in its research work so far related to building and transport subsystems. Bases for the proposed methodology are set in preceding research collaborations with national and international scientific partners who have advisory roles in the project.

REWAISE – Resilient Water Innovation for Smart Economy

REWAISE creates a new “smart water ecosystem”, mobilising all relevant stakeholders to make society embrace the true value of water, reducing freshwater and energy use, resulting in a carbon free, sustainable hydrological cycle, to transition into a resilient circular economy.

A network of nine living labs, involving 5 major water utilities, demonstrates real-life, large-scale operational environments for technological innovations and new governance methods to secure a resource-efficient water supply for the EU. New business niches will be created, incentivizing water-related investments, and accelerating SME growth, by linking users with specific water needs, incorporating life cycle and cost assessments, and collective action in new governance frameworks for smart value creation and high social returns.

By incorporating paradigm shifts from a linear Roman heritage to a new circular, water-smart economy, REWAISE reveals the full Value of Water for Europe, considering 3 key components of the economic and societal value generated by integral water cycles: value in water, value from water and value through water.

The project is co-financed by the European Union through Horizon 2020 framework programme.

Within REWAISE UNIZG-FER through LARES develops mathematical optimization procedures for four main entities in the urban water cycle -- Drinking Water Treatment Plant, Water Distribution System, Sewage Water Network and Wastewater Treatment Plant. Through them operators of these plants and systems are advised how to run the plant in a short-term ahead in order to respect all technical constraints in dynamic environments while achieving optimal economical performance. Moreover LARES introduces and develops coordination procedures that allow economically optimal interplay between the plants and systems connected with the water stream.

REMOVE PAST PROJECTS FROM HERE ON

 


SUPER – A system for control of electrical energy consumption in households

 

                     

 

In the electrical energy system production of electrical energy and its consumption must be in balance for maintaining the system stability and the system voltage frequency. Maintaining the balance in real time is the task of the transmission system operator (TSO). Households do not have the possibility to participate in system balancing since a technology platform for their participation does not exist and such a platform is planned to be developed within this project. It will enable the TSO to balance the system and diversify its balancing options by controlling the consumption of multiple small consumers. The system for control of electrical energy consumption in households will be based on mathematical models and machine learning and will offer needed flexibility to the TSO in an automated way, without infringing the comfort.


EVBattPredtect – Dynamical predictive protection of electric vehicle battery health

Project website: https://www.fer.unizg.hr/evbattpredtect

                     

The project is focussed on application of estimation and predictive control in electric vehicle battery system and vehicle dynamics control in order to protect the electric vehicle battery from a premature degradation while minimally deteriorating the car driveability. Batteries are one of the most expensive and weakest links in electric cars, and it is necessary to ensure their exploitation in the vehicle in conditions that degrade them as little as possible. The need for the greatest possible energy recovery during braking and the best possible dynamic performance of the vehicle exposes the batteries to stress that violates their integrity in a currently uncontrolled way.
The main goal of the project is to develop a software module for battery protection of an electric vehicle and the way of its integration with the vehicle dynamics management system. The module dynamically limits the battery charge / discharge current and the air conditioning of the battery compartment in order to limit the rate of battery degradation with the least possible impact on the dynamic performance of the vehicle.

The project is carried out in close collaboration with industry partner Rimac Automobili that develops and produces electric sports cars, drivetrains and battery systems.

The project is funded from the call Strengthening R&D and Innovation Potentials (STRIP) through the Operative Programme Competitiveness and Cohesion for Croatia in period 2014-2020. The STRIP call was launched by the Croatian Ministry of Science and Education.


SmartCityLight – Intelligent and Modular Platform for Management and Monitoring of City Lighting

Project website: https://www.fer.unizg.hr/SmartCityLight

City lighting is among dominant infrastructure in cities where modernisation is one of the most cost effective investments from techno-economic perspective of energy efficiency. The project aims at developing centralized and distributed model predictive control algorithm and electronic controllers with wireless communication for predictive and autonomous adjustment of lighting intensity based on various micro-location external factors in the city (energy consumption, pedestrian and road traffic intensity, climate conditions) that achieves significant energy savings, reduces investment costs, increases safety and enables integration of various city infrastructure with additional diagnostics capabilities and a strong potential for creating smart city foundations.

The project aims to achieve 20% of operational costs reduction and 30% of investment cots reduction of city lighting, experimentally validated in a living lab.

The project is carried out in close collaboration with industry partner LED-Electronica, the producer of 15.000 city LED lamps annually, corresponding controller and communication electronics, cloud-based software platform for monitoring and control, and various services – and with over 60 references of successful implementations.

The project is funded from the call Strengthening R&D and Innovation Potentials (STRIP) through the Operative Programme Competitiveness and Cohesion for Croatia in period 2014-2020. The STRIP call was launched by the Croatian Ministry of Science and Education.


INUKING

Development of an innovative software solution for centralized monitoring and control of a critical infrastructure in commercial and residential buildings

 

       

The aim of this project is to develop an integrated system for centralized monitoring and control of critical infrastructure systems in residential and commercial buildings. Critical infrastructure systems include system of heating, ventilation and air conditioning, lighting, power supply, fire protection, fire alarming, video surveillance and access control. Named subsystems are dominantly installed as separate systems in buildings and thus their control is considerably complex since each should be controlled separately, and thereby the possibilities for their communication and interaction do not exist. Since belonging to the same building they should constitute a unified whole for technical surveillance of electrical and mechanical installations in the building.


DESMe – Development of an expert system for measuring lightning strike parameters on Wind Turbines

Project website: https://desme.fer.hr/

   

One of the priority goals set by the Europe Strategy 2020 si achieving an adequate level of renewable energy production. The Republic of Croatia has excellent natural predispositions for wind energy production. Existing and potential locations for the construction of wind farms are located in almost the entire coastal area. However, one of the basic problems of this production are lightning strokes on wind turbines and, consequently, the damage that is manifested through production downtime and their repairs. The aim of this project is to carry out research and development procedures with the aim of designing an expert system for measuring the parameters of lightning strokes and improving the protection of wind turbines from lightning strokes to reduce failures and downtime.

The project is funded from the call Strengthening R&D and Innovation Potentials (STRIP) through the Operative Programme Competitiveness and Cohesion for Croatia in period 2014-2020. The STRIP call was launched by the Croatian Ministry of Science and Education.


UKUS – Universal communication and control system for industrial plants

Project website: https://ukus.fer.hr/

 

                

 

The project goal is to develop an app that integrates communication and control modules, aiming at increasing the efficiency of industry facilities (focus is on power facilities). The communication module stores the data on the facility in a central database. The data are used to optimize specific processes using special algorithms integrated into the app. The advantage toward the existing solutions is the universality of the app as it will enable a communication to all industry protocols. The app also includes an efficient data acquisition, complex analyses over data and access of other systems to the collected data.

The project is carried out in close collaboration with industry partner Brodotehna that design and implements control systems for industrial, power and transport facilities.

The project is funded from the call Strengthening R&D and Innovation Potentials (STRIP) through the Operative Programme Competitiveness and Cohesion for Croatia in period 2014-2020. The STRIP call was launched by the Croatian Ministry of Science and Education.


T-LOGIC – Intelligent Management of Vending and Micro Market Logistics

 

    

 

The project aims at establishing autonomous virtual manager in vending machines logistics including vending machines, delivery, warehouse and capacities. The management system is targeted as a cloud-based platform, utilizing artificial intelligence and machine learning on historical data, mixture of various optimization approaches such as heuristic, evolutionary and convex optimization with experimental verification on large number of real local and international vending machines, delivery routes and warehouses. Modular approach enables flexibility and prompt application to a particular case while the predictive modules are coordinated to achieve additional and synergic cost savings, energy efficiency and greenhouse gasses reduction.

The project is carried out in close collaboration with industry partner INTIS, the producer of Televend vending machines products and services - a team of over 100 vending enthusiasts that want to carry traditional vending business into the future of connected smart machines.


ZaCjel – Protection of Structural Integrity in Energy and Transport

    

 

By strengthening the capacity of partners and conducting scientific research, this project aims to develop a comprehensive system of supervision and management of dynamically loaded structures to preserve their integrity, ie to prevent damage and extend its functionality. The development of innovative methodology includes optimization of sensor system monitoring, diagnostics of damagesmario in laboratory conditions, experimental research of fatigue properties of materials and development of inverse and statistical models, structural similarity theory, numerical algorithms for estimating structural fatigue and allowable loads, and control systems permitted operating modes. After the validation of the methodology on laboratory models and the real construction of the Končar wind turbine, the procedure of intellectual property protection over the developed methodology and commercialization of the project results will be initiated. As a partner in the project, FER will design ways of automatic control using methods of mathematical optimization and computer geometry that are non-invasively added to existing algorithms and preserve the integrity of the structure, and the applicant FSB and partner Faculty of Civil Engineering in Rijeka deal with methods management bases. The project leader at FER is prof. dr. sc. Mario Vašak.


DanuP-2-Gas

DanuP-2-Gas - Innovative model to drive energy security and diversity in the Danube Region via combination of bioenergy with surplus renewable energy

Project website:http://www.interreg-danube.eu/danup-2-gas

The Danube Region holds huge potential for sustainable generation and storage of renewable energy. However, to date this region is highly dependent on energy imports, while energy efficiency, diversity and renewables share are low. In line with the EU climate targets for 2030 and the EUSDR PA2 goals DanuP-2-Gas will advance transnational energy planning by promoting generation and storage strategies for renewables in the Danube Region by coupling the electric power and gas sector. DanuP-2-Gas will bring together energy agencies, business actors, public authorities and research institutions via the Danube Energy Platform. Based on the platform developed during DTP project ENERGY BARGE it will incorporate all pre-existing tools and i.a. an Atlas, mapping prior unexamined available biomass and energy infrastructure. Further, a pre-feasibility study utilizing an optimization tool for efficient hub design will identify suitable locations for sectors coupling hubs and combination of two idle resources in the Danube region. Unused organic residue (e.g. straw) will be processed to biochar for easy transport along the Danube River and as basis for synthesis gas generation. Adding hydrogen produced from surplus renewable energy allows to upgrade this syngas to renewable natural gas. This will enable storage of surplus energy in the existing gas distribution grid increasing energy security and efficiency. All needed resources are available in the Danube region and the 10 partner countries. Thus, a transnational approach along the main transport route (Danube River) to share these resources is the key. The legal framework influencing the concept will be assessed on individual country level, leading to a transnational strategy with national roadmaps for simple implementation. Finally, impact of DanuP-2-Gas will be ensured via trainings on the developed tools and workshops elaborating future projects and business models with interested stakeholders.


CEGLog – Collaborative Elastic and Green Logistics

 

          

 

The project is focused on developing different optimization modules for delivery routing, vehicle packing and capacity decision-making based on historical and real-time data. CEGLog aims to establish a cloud-based platform for last-mile logistics management based on mixture of various optimization approaches such as heuristic, evolutionary, complex networks and Markov processes, but also convex optimization and linear programming. The decisions are made in a modular and predictive way with future estimation of internal and external conditions acquired by applying machine learning and neural networks to historical data, which is accumulated by project partner (delivery company) over several years. Modular approach enables flexibility of the particular case, minimising the implementation time for the selected case studies while the predictive modules are coordinated to achieve additional and synergic cost savings, energy efficiency and greenhouse gasses reduction.

The project is carried out in close collaboration with industry partner GDi for industry focused business process software and data solutions with a wide range of related professional services, training and support in the area of Operations Support Systems (OSS), Decision Support Systems (DSS) and Cloud Computing and Geoinformation Systems (GIS) and a great focus on intelligent assets, operations, resources and smart data.


AgroSPARC – Smart and Predictive Agriculture for Resilience to Climate Change

Project website: https://www.icent.hr/agrosparc

 

 

Actual and upcoming climate changes will evidently have the largest impact on agriculture crops cultivation in terms of reduced harvest, increased costs, and necessary deviation from traditional farming. The project goal is to develop mathematical models of different growth stages of wheat by applying the artificial intelligence and utilize it for prediction of crop development and harvest. Analysis of the big data will be carried out with respect to various climate conditions, artificially created and permuted in the prototyping chambers, and corelated with plant development identifiers in different growth stages. The models will be publicly and interactively used through a portal for prediction of plant development in real and hypothetical climate conditions, with accumulated and archived feedback from farmers as additional data for tuning of the developed models.