ST-F, POMM, DEA, URCA, TECX
The demonstrator addresses implementing a method of capturing images and data using an autonomous robot to support cameras and sensors. The data analysis from the Vranken-Pommery vineyards allows precise decision-making regarding the yield, vine diseases, and missing vines. Rapid intervention is the key challenge to optimise the harvest quality, logistics, and production costs. The autonomous environment-aware robot is designed to navigate in the vineyards to help automate specific tasks such as yield estimation or diseases identification. This will give viticulturists valuable insights for planning the harvest and treating the vine plants.
Beyond state-of-the-art developments and impacts
With the implementation of the proposed autonomous-aware robot solution, it will be possible for the first time to automate the complex observation, and counting process to the overall vineyards surface, reducing the time, and increasing the precision. More parcels can then be controlled, eliminating errors related to the random sampling, which is destructive and inaccurate.