DigiT4TAF-BW
AI in the Mobility Sector
Start: 05/2021
End: 04/2024
The BoniKI project is concerned with the automation of plant evaluation. Plant evaluation – for example, the assessment of pest infestation in crops – is time-consuming, cost-intensive and requires many years of experience. Currently, a manual process is necessary, in which plants are randomly inspected and overall assessments are determined via statistical analyses.
Automated plant evaluation with Artificial Intelligence (AI) will increase sustainability, transparency, and efficiency in agriculture. The models and neural networks open up new potentials and relevant scoring parameters. They enable a larger circle of users to determine protection and maintenance measures.
The tasks and responsibilities of the FZI lie specifically in the field of AI. High-resolution data will be recorded with an Unmanned Aerial System (UAS) for a plant-specific evaluation and AI methods will be used to separate the crop plant from weeds and background before an automatic evaluation is carried out with further AI methods. At the end of the project, the goal is to create a holistic, easy-to-use solution that can automate and even self-learn the evaluation process.
In this research focus, the FZI concentrates on practical research into the key technology of Artificial Intelligence (AI). Innovative AI solutions are developed and transferred to application areas such as mobility, robotics, healthcare technology, logistics, production, and supply and disposal on behalf of our partners and customers.
Funding notice:
The BoniKI project is funded by the Federal Ministry of Food and Agriculture (BMEL).
The project sponsor is the Federal Office for Agriculture and Food (BLE).
Project partners:
AI in the Mobility Sector
Supercomputing Platform for Highly Automated Vehicles
Cybersecurity for SMEs
Data management repository for care-supporting AI applications
Innovation with Cybersecurity for SMEs in Baden-Württemberg
Hardening of embedded RISC-V software by means of code transformations
Automatic Integration of Avionik Racks via Artificial Intelligence
Buildings as efficient and interoperable components of the future energy system
Hybrid building twins for increased energy efficiency
Flexible refrigeration systems against the background of increased decarbonization