digital.twin.plant - The plant and its digital twin

In the context of climate change, agriculture is facing some of the greatest challenges in its history. digital.twin.plant is the first project in Austria to research the virtual mapping (Digital Twin) of plants and the optimisation of yield and resource use (water, fertiliser, etc.) through tailored prediction models and decision tools. The system enables its users to simulate processes such as crop growth, phenology, harvest time, yield, water demand, and fertiliser requirement etc. and thus make better agricultural decisions. In the sense of the Digital Twin, growth-optimising actions can be triggered automatically on the basis of the forecast models via a specially constructed test site using sensor technology and robotics (e.g. fertilisation and irrigation). In addition, users can provide feedback on the quality of the forecasts and thus contribute to improving the forecast models.