Our projects aim to bridge the gap between state-of-the-art science and application – always with our vision in mind. This way we try our best to invest our effort and the funding we receive from our partners for the benefit for our society and environment.
- CropmAIpper
- DeepField
- GrassSense
- GrassWatCH
- InnoFarm
- PhenomEn
- SwissIrrigationInfo
- Tracking Fields Through Time: Crop Type Mapping with Landsat and Sentinel from the 1980s to Today
- WHEAT.AI: Learning Agronomic Intelligence at Landscape Scale with Earth Observation and Machine Learning to Improve Winter Wheat Cultivation