The future of autonomous vehicles
agriculture
AUTONOMOUS. SUSTAINABLE.
Innovative solutions of TOMORROW
In a time when the demands on agriculture are constantly evolving, it is essential to develop innovative approaches. Our goal is to drive the acceptance and adoption of future autonomous agricultural technologies. To achieve this, we rely on a strong network of partners and institutions that bring pioneering expertise in their respective fields.
Efficiency through partial autonomy
Resource-efficient
Precise farming
Data-based planning
Cost-saving
ADVANTAGES OF AUTONOMOUS SYSTEMS
Why a RETHINK is necessary
The need for increasing yields, the necessity of sustainable practices, and the use of limited resources are just some of the factors driving a rethink in the industry.
In order to enable a fleet of autonomous agricultural machines of different types and from different manufacturers to operate together within a single workflow, standardized communication protocols and interfaces must be developed to ensure interoperability and efficiency. At the same time, the use of autonomous agricultural technology offers numerous advantages for farming:
Increased efficiency
Automated processes reduce time and labor requirements, thereby lowering personnel costs and easing workforce constraints.
Precise application
Through the use of data-driven operational and process optimization, resources can be deployed in a targeted and efficient manner.
Technology transferability
Adaptability and transferability of existing technologies from traditional agriculture to automated systems.
A PROMISING FUTURE
Agriculture at a turning point
For experienced farmers, the use of autonomous agricultural technology represents a significant turning point – both personally, in their role as farmers, and from a business perspective. While the use of autonomous machines in the fields may still seem like a glimpse into the future, for coming generations it marks a decisive step toward more resource-efficient farming.
SMARTER, SAFER, MORE SUSTAINABLE.
Intuitive functionality
We are developing a system designed to enable intuitive human–machine interaction while supporting and automating workflows. From office planning and route planning to collision avoidance systems and yield analysis, we combine all possibilities for semi-autonomous operations into one solution. Our aim is to provide modern farmers with a system that enhances efficiency and maximizes results. At the core of this is our innovative cloud platform, which acts as a central control unit, seamlessly connecting and managing all processes.
The cloud acts as a central operating system, integrating numerous individual applications that are open and standardized to ensure seamless connectivity and integration within the operational digital ecosystem.
REGULAR UPDATES
COMPATIBILITY TEST
The cloud displays a list of available apps for your agricultural machinery (tractor, combine harvester).
SIMPLE & INTUITIVE OPERATION
Farmer Centric HMI
After successful installation, the app will appear in your device’s interface, allowing you to control it precisely and monitor field operations at any time.
EXPERTISE engineered into every system
The practical validation of the platform developed in the project is being carried out using the “innoMADE TK100” by EIDAM as well as the “Combined Powers” vehicle from the Krone–Lemken joint venture. In addition, the platform’s migration capability from traditional agricultural machinery is demonstrated using a TIM tractor.
ISOBUS Interoperability
Research and participation in AEF working groups to develop the next generation of ISOBUS, enabling seamless communication between robots and implements from different manufacturers.
AI Agronomy
Tradition meets innovative spirit
AI agronomy refers to the application of artificial intelligence (AI) in agronomy—the science and practice of agriculture. It involves the use of AI technologies and algorithms to optimize agricultural processes, increase crop yields, use resources more efficiently, and address various farming challenges. Examples of AI in agronomy include precise weather forecasting, soil analysis, pest monitoring, and automated irrigation systems.
"Artificial intelligence is becoming the key to developing sustainable and efficient farming methods."
Hendryk Eidam
Managing Director EIDAM Group
Ensuring global food security
To ensure global food security in the future, an above-average increase in agricultural productivity will be required in the coming decades.
Field cultivation
The focus is increasingly shifting to the processes of field cultivation – in addition to the individual agricultural machine.
Artificial intelligence
Artificial intelligence is the key technology for leveraging this agronomic expertise in future autonomous machine systems.
TRUSTWORTHY TECHNOLOGY
Safety & Reliability
The solution: Strict safety and reliability standards
Safety and reliability are essential prerequisites for unlocking the full potential of autonomous agricultural technology and ensuring the protection of both people and machines. Furthermore, the goal is to guarantee productive and uninterrupted operation around the clock.
The challenge
In the future of agriculture, autonomous technologies are revolutionizing the way we plant, harvest, and manage land. However, this progress also raises a crucial question of safety and reliability.
Autonomous agricultural machines must meet future international requirements for functional safety, data security, and operational safety.
Funded by the Federal Ministry for Research, Technology and Space
