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Collaborative Project: Artificial Intelligence for efficient and resilient agricultural technology - subproject A (KINERA)
Project
Project code: 28DK109A20
Contract period: 19.04.2021
- 18.10.2024
Budget: 914,172 Euro
Purpose of research: Applied research
Keywords: information-communicationtechnology, sensor technology, knowledge transfer, networking, AI Artificial Intelligence, soil (soil conservation, soil fertility, soil cultivation, soil health), data management, crop production, digital world, precision farming
The aim of KINERA is to increase the efficiency and resilience of agricultural production processes through purposeful use of artificial intelligence (AI) methods. It is essential that the agrotechnology considered in the project - a complex tractor-implement combination and an autonomous robot - is integrated into an operational (edge) and cross-party (cloud) ICT infrastructure. This enables the targeted use of AI on several process levels. An overarching goal of the project is to increase machine utilization through the use of distributed AI concepts at the machine level and optimization processes at the operational level (e.g. machine logistics). Machine learning methods are also used to learn adequate models of agricultural machinery, which is made possible through continually recorded machine data. Another goal of KINERA is to develop a simulation to determine the potential of swarm robotics in an agricultural context. On the basis of in-situ collected robot data ("Phoenix" robot from UHOH), a digital twin is modeled and multiplied in-silicio, which allows a simulative scalability analysis (e.g. for area capacity). Another goal is to increase the reliability of the overall system. By choosing a suitable system architecture, increased resilience to external disturbances (e.g. loss of connectivity and thus data availability) is achieved in order to be able to maintain the operability of a digitized farm. The farmer himself is a crucial factor for the reliability, which renders the ease of use of complex agricultural machines another goal of KINERA. To achieve this, a decision support system for the farmer is implemented which is based on AI-supported analysis of logged machine data in the cloud.
Section overview
Subjects
- Crop Production
