BoniKI

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.