Novel and Improved Sensor Technology for Agriculture
High-resolution measurement data from airborne or ground-based systems for automated interpretation and decision support
High-resolution measurement data from airborne or ground-based systems for automated interpretation and decision support
For a more comprehensive understanding of cause-effect relationships, different scales regarding both geographical distances and the periods of time considered must be integrated. This is the only way to identify and describe local and remote as well as direct and delayed effects in the biosphere.
This purpose requires the collection of comprehensive data. However, information needed to better understand interrelationships is frequently missing. With appropriate sensors and cognitive analytics, it will be possible to close this gap in the future. In the context of this projects, sensor concepts are therefore being developed further in accordance with the requirements in agricultural technology and raw data is being processed for use in application processes.
This includes, for example, the use of agricultural sensor technology for:
This is leading to the development of methods for soil parameters that cannot be measured yet to date, but which are essential for the planning of agricultural activities.
The data of these airborne and ground-based sensors is combined with data from existing measurement systems as well as with remote sensing, weather, and yield data. This provides a comprehensive amount of data for automated interpretation and decision support for different time horizons.