Europe Union


Smart, digitalized components and systems for data-based Agriculture and Forestry

Project Goal

The Agrarsense Project aims to enhance agricultural and forestry productivity while addressing critical challenges such as food security, sustainability, and climate change mitigation in Europe. It focuses on developing cutting-edge electronic components and systems, as well as technological innovations, to improve transparency and productivity in these sectors. The project aspires to promote European resilience, ensure efficient technological solutions, and support sustainable practices in fertilization and irrigation. By 2030, it anticipates generating substantial economic and technological impacts, including new turnover, product development, partnerships, job creation, and investments. Agrarsense fosters collaboration between 52 partners from 15 EU countries and encourages the fusion of innovative technologies to benefit the broader European agriculture and forestry sectors. Role

We aimed to enhance forestry autonomous forwarders by developing ground-directed radar and signal processing software. It involves creating a ground sensor for UC5, utilizing Ground Penetrating Radar (GPR) for detailed ground condition mapping, and implementing Machine Learning for real-time data analysis. The project aims to deliver integrated radar components for a complete forestry forwarder system.

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Key Information


KDT Joint Undertaking (JU) under Grant Agreement No. 101095835 and by the National Center for Research and Development.


36 months


Depending on task

SDG / Area / Technology

Sustainable agriculture and forestry with elements of Machine Learning Role

Technological partner


The Agrarsense Project, launched in January 2023, is a significant undertaking that responds to the multifaceted challenges facing the European agriculture and forestry sectors. These challenges are driven by a combination of factors, including the compounding impacts of climate change, disruptions in supply chains, labor shortages, and geopolitical conflicts. These circumstances have underscored the critical need for transparent and improved productivity in agriculture and forestry, as well as access to cutting-edge technological innovations and automation.

Furthermore, addressing the imperative of sustainability and climate change mitigation has become paramount. Sustainable fertilization and irrigation practices are recognized as pivotal elements in safeguarding the environment and achieving climate-related goals. As a result, the Agrarsense Project has been initiated to address these challenges comprehensively, with a focus on electronic components, systems, and technological innovation.


The Agrarsense Project holds great significance for Europe and its agriculture and forestry sectors. It is a pioneering initiative aimed at advancing agricultural and forestry productivity while promoting resilience in critical sectors. This endeavor aligns with broader sustainability targets and climate change mitigation efforts. By developing state-of-the-art technologies, Agrarsense seeks to enhance the following key areas:

  • Food Security: The project contributes to bolstering food security by improving the productivity of European agriculture and forestry, ensuring a consistent and reliable food supply.
  • Technological Innovation and Automation: Agrarsense facilitates access to advanced technological solutions and automation, making these innovations readily available to address pressing challenges.

  • Sustainability and Climate Mitigation: The project promotes the adoption of more sustainable practices in fertilization and irrigation, thus playing a significant role in preserving the climate and environment.
  • European Resilience: Agrarsense addresses the need for European resilience by providing efficient technological solutions encompassing hardware and holistic data management, ensuring the stability of vital sectors.

The collaborative nature of the Agrarsense Project, with 52 partners from 15 EU countries, is emblematic of the commitment to driving European innovation. This initiative aims not only to benefit end-users but also to yield substantial economic and technological impacts. By 2030, the project’s expected outcomes include generating significant new turnover for participating companies, introducing numerous new products, fostering partnerships, job creation, and attracting investments.

In particular, Agrarsense fosters an environment in which innovative technologies are combined and leveraged for faster innovation and knowledge generation. It acknowledges the role of both large enterprises and SMEs, with SMEs comprising a substantial portion of the consortium. As a result, Agrarsense forms a vital research and innovation ecosystem that extends its benefits beyond project partners to the broader European agriculture and forestry sectors, fostering sustainability, resilience, and progress.’s Project Contribution


Defining requirements, design component architecture, and plan integration for ground-directed radar and signal processing software for ground and surface condition identification and mapping in forestry autonomous forwarders.


Developing ground sensor for UC5 that will communicate with the drone which will scan the site both before and after to enhance the input.

Radar software

For R76 Radar processing for surface mapping (UC5) is performed by Ground-directed radar and signal processing software for surface mapping will fulfill the need for detailed information on ground and surface conditions for autonomous forwarders in forestry. Ground Penetrating Radar (GPR) will be used to acquire data on ground properties like soul moisture and pavement hardness or even depth of the roots. GPR use could possibly prevent some unexpected events like encountering buried obstacles of different types.


Working on and prepare dedicated software for off the shelf radar hardware solutions. Software prepared will aim to maximize gains in terms of processed data usability and value.

Data processing

Working on data/sensor fusion for two radars for various parameters. Acquired sensor data from various partners and sources, such as video images, movement, satellite positioning data, radar, gyroscope 9-axis data, accelerometer fusion and processing. Edge computing approach will be used in order to fulfil the need of high-quality near-real time control data stream.

Data processing

Working on interfacing and bridging various data sources and corresponding components (radars, processing).

Machine Learning

Researching the potential to utilize Machine Learning in order to analyse correlations in a data stream and give feedback and recommendations for operations in near-real-time. Pre-processing and filtering of acquisition data solutions will be prepared. Proper AI & ML solutions will be implemented to achieve data feed for operations and control based on Digital Signal Processing.


Preparing testing plans and metrics regarding radar-based surface monitoring components. Testing methodology will cover functional validation along with environment interaction, system integration and operations performance. In particular, DAC will address measures to test component’s mapping accuracy and reliability.

Test hypotheses

Running tests to validate experimental hypotheses concerning the accuracy and reliability of the radar component.

Surface-mapping component

Delivering surface-mapping radar components which will be integrated into a complete forestry forwarder system along with other components provided by the use case partners. Demonstrator-specific applications will be developed.

Tech Stack

Sensor Technologies
Biga Data
Machine Learning
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Wireless Technologies
Cloud Services
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UI UX icon
Electronic Components


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The project is financed by the European Commission – KDT JU Joint Undertaking and by the National Center for Research and Development.
Total budget

50 723 993,25 EUR

Total budget for S.A.

1 546 118 EUR 

EU contribution for S.A.

463 835,40 EUR

NCBR agreement number


Date of signing the agreement with NCBR


Total budget for S.A.

3 125 703,75 PLN

NCBR contribution for S.A.

1 087 238,09 PLN

Implementation period


About the project

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