Event
Data to Value: Connected Data for Sustainable Agricultural Technology
17. September 2026
09:30 - 18:30
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How can we use interconnected data throughout the agricultural value chain to create new decision-making frameworks and genuine added value?
At this cross-functional event between Data Innovation and the AgriTechHUB , you ’ll discuss relevant topics—such as the design of interoperable, fair, and economically viable data ecosystems in agriculture—with stakeholders from industry, the field, and agricultural research. Focus: Transforming data into tangible added value for businesses and the field.
Representatives from agricultural technology, agriculture, industry, research, and digitalization will come together to tap into the potential of interconnected data. Participants can look forward to a day full of practical insights, concrete use cases, and interactive discussions. Together, we will explore how data exchange, interoperability, and data ecosystems can be successfully implemented, what challenges we as an industry must overcome, and how data can lead to better decisions, innovative business models, and sustainable competitive advantages. The focus will be on knowledge transfer among stakeholders, looking beyond industry boundaries, and developing joint solutions for data-driven agriculture.
Data Ecosystems, Interoperability, and Data Exchange
Learn, through practical examples from agricultural technology and other industries, how data can be leveraged across organizational and system boundaries. The focus is on interoperability, common standards, and the prerequisites for successful collaboration in interconnected data ecosystems.
Application and Value Creation Through Data
Using concrete use cases, participants will learn how data leads to better decisions, which technologies are required for this, and how companies successfully realize data-driven added value.
Interactive Workshop, Company Tour & Networking
In practical group sessions, participants will collaboratively develop solutions to current industry challenges. The program is complemented by exclusive insights into corporate practices as well as a wide range of opportunities for professional exchange and networking within the AgriTechHUB ecosystem.
Joseph Schapfl,
Keynote: "Data Value—What Added Value Does Data Provide for Our End Customers and for Us as a Company?"
HORSCH Maschinen SE & Co. KG,
Dr. Tobias Nothdurft,
"Interoperability That Pays Off—Two Real-World Examples from the Pharmaceutical and Automotive Industries"
Frank Schnicke,
Dr. Matthias Nachtmann,
Use Case 3: Application and Value Creation
How data is turned into better decisions and what needs to happen behind the scenes to make that happen
Agricultural operations are increasingly faced with the challenge of balancing economic goals with sustainability, climate adaptation, water availability, biodiversity, carbon farming, and growing reporting and supply chain requirements. Data plays a central role in this context; however, data alone does not lead to better decisions—it is the integration of data with location that does. Only the spatial context reveals where action is needed, which measures should be prioritized, and how resources can be deployed in a targeted manner.
Using practical examples, this presentation demonstrates how spatial, operational, and machine data can be integrated into a comprehensive digital overview. The focus is on open platforms, digital twins, cloud-based architectures, and the future use of AI. These technologies make it possible to prioritize measures at the right time and in the right place, simplify documentation requirements, support precision farming, and make agricultural operations more efficient.
In addition, the presentation will discuss how interoperable systems, secure cloud infrastructures, and AI-supported assistance systems can reduce the workload for farmers, and how their data and process knowledge can itself become a source of economic value in the future.
Interactive Discussions & Knowledge Transfer
- What do the approaches presented here mean for my company and future business models?
- What challenges do we need to overcome so that data can contribute more to value creation?
- What partnerships, standards, or data ecosystems do we need to achieve this vision of the future together?
Company Tour of HORSCH Maschinen SE
Exclusive insights into the company, ongoing projects, and concrete real-world application examples
Joseph Schapfl,
