Professor of Precision Viticulture
University of Applied Sciences Bingen
- Close-investigation techniques
- Remote Sensing
- Autonomous instrument engineering
Precision Viticulture is a synonym for a demand-oriented cultivation of heterogeneous vineyard areas with digital methods. The use of GPS and sensor-supported technology is intended to maximise grape quality while minimising environmental pollution.
Geo-referenced data generated by means of near and remote sensing techniques serve as a basis for GIS-based, zone-specific management plans, which in the future will also be implemented by autonomous machines.
The way into the digital age "Viticulture 4.0" will be promoted by the change from analogue to digital vineyard register and by the operation of digital vineyard management systems.
Due to climate change and increasingly very local weather conditions, there is a need to be able to react earlier to unexpected weather events. Microclimate data recorded specifically for each plot can be used to extend weather forecasting systems in order to implement viticultural measures with greater temporal precision.
Remote sensing techniques with the carrier platforms satellite, aircraft and drone provide further information about the vineyard. Airborne laser scanning is used to generate high-resolution digital terrain models (DGM). In geographic information systems (GIS), high-resolution site parameters can be derived from these models for area characterization. Multispectral images provide information about the Normalized Differentiated Vegetation Index (NDVI), which supports derivations about the "vigour" of vegetation.
Algorithms use and process all information from near and remote sensing to create zone-specific management plans.
RealTimeKinematik-GPS enables the centimeter-precise control of autonomous machines and robots in the vineyard.