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ICT-Agri-Food Joint Call
Call1 FP
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Sascha Kober
Germany
Leipzig University / Smart Farming Lab
University
data management, data act, data platform, data trust, policy & risk assessment, environmental data
Topic 1 - Data technologies and data management
We are seeking collaboration partners for an AGDATA 2025 project focusing on the secure acquisition, sharing, and AI-ready preparation of agricultural machinery data within the framework of the new EU Data Act. As Leipzig University, we provide expertise in research data management, secure data spaces, and scalable data infrastructure.
Our goal is to access tractor and implement sensor data in compliance with the Data Act, process and harmonise these heterogeneous datasets, and develop robust generalisation pipelines that enable their use for advanced AI model training. This includes metadata standardisation, quality assessment, weighting strategies, and cross-manufacturer interoperability.
We are looking for partners who can contribute domain knowledge, access to agricultural machinery data, analytics capabilities, or applied AI expertise. Together, we aim to build a secure, trusted, and reusable data environment that accelerates innovation in digital agriculture and supports future data-driven research and development.
Our goal is to access tractor and implement sensor data in compliance with the Data Act, process and harmonise these heterogeneous datasets, and develop robust generalisation pipelines that enable their use for advanced AI model training. This includes metadata standardisation, quality assessment, weighting strategies, and cross-manufacturer interoperability.
We are looking for partners who can contribute domain knowledge, access to agricultural machinery data, analytics capabilities, or applied AI expertise. Together, we aim to build a secure, trusted, and reusable data environment that accelerates innovation in digital agriculture and supports future data-driven research and development.
The Smart Farming Lab at Leipzig University is a research and innovation hub dedicated to advancing digital transformation in agriculture. Our mission is to contribute to long-term food security by developing sustainable, efficient, and socially responsible farming solutions. We collaborate closely with regional agricultural enterprises and technology providers, combining scientific excellence with practical field experience.
Our research covers key domains such as data management, remote sensing, artificial intelligence, autonomous agricultural robotics, and novel digital technologies including blockchain-based traceability. Through our mobile outreach platform, the Mobile Scheune, we engage directly with farmers to demonstrate digital tools, gather user-driven requirements, and evaluate emerging technologies under real-world conditions.
We operate a comprehensive data and computing infrastructure and have long-standing expertise in designing secure data spaces, managing heterogeneous agricultural datasets, and developing analytical workflows for AI applications. Our interdisciplinary team brings together specialists in computer vision, machine learning, robotics, remote sensing, AR/VR, communication and technology transfer.
The Smart Farming Lab actively contributes to innovation networks, conferences, and experimental testbeds, and supports education and talent development through student projects, theses, and training programmes. With strong competencies in digital agriculture and data stewardship, we provide a robust foundation for collaborative research and the development of scalable, data-driven solutions.
Our research covers key domains such as data management, remote sensing, artificial intelligence, autonomous agricultural robotics, and novel digital technologies including blockchain-based traceability. Through our mobile outreach platform, the Mobile Scheune, we engage directly with farmers to demonstrate digital tools, gather user-driven requirements, and evaluate emerging technologies under real-world conditions.
We operate a comprehensive data and computing infrastructure and have long-standing expertise in designing secure data spaces, managing heterogeneous agricultural datasets, and developing analytical workflows for AI applications. Our interdisciplinary team brings together specialists in computer vision, machine learning, robotics, remote sensing, AR/VR, communication and technology transfer.
The Smart Farming Lab actively contributes to innovation networks, conferences, and experimental testbeds, and supports education and talent development through student projects, theses, and training programmes. With strong competencies in digital agriculture and data stewardship, we provide a robust foundation for collaborative research and the development of scalable, data-driven solutions.