Overview
A computer-vision pipeline for crop and weed detection, trained on synthetic data generated from digital twins of fields.
- Period
- 2025
- Role
- Project owner, technical manager
- Organisation
- Łukasiewicz Research Network – Poznań Institute of Technology
- Funding
- Łukasiewicz PIT Internal R&D Program (Subvention 2025)
- Budget
- 670 000 PLN
Iman's work
- Project owner and technical manager.
- Labelled training images generated from digital twins of fields, used to train crop and weed detection models.
keywords computer vision synthetic data digital twins crop detection weed detection neural networks simulation