Public summary

Onsite training and validation for deployment of autonomous vehicles

Octiva Group

February 27, 2025

Practical validation of autonomous vehicles in the greenhouse

Autonomous vehicles are playing an increasingly important role in greenhouse horticulture. Octiva Group conducted a validation process to test the integration of autonomous robots in a greenhouse environment. The focus was on connecting to the physical infrastructure, linking with the UC19 data infrastructure, and training staff. This project contributes to the further application of AI and robotics in the sector.

Innovation package, use case, and type of trial

    Status: completed

    Technical functionality

    TF-2 Testing of interoperability, standardization and compatibility

    Broad knowledge question

    How easy can an autonomous robot be integrated?

    Successful implementation of autonomous vehicles requires a smooth connection to existing greenhouse infrastructures. This project investigates whether a robot can be installed and connected to both the physical and data infrastructure with minimal effort.

    Approach

    Screening, installation and training

    To test the integration of the autonomous robot, the following steps were carried out:

    • Screening of the greenhouse before and after renovation.

    • Installation and validation of the autonomous robot.

    • Testing of the new greenhouse infrastructure.

    • Training of personnel to work with the technology.

    This approach enables assessment of both the technical performance and practical usability of the system.

    Goal

    Validation of interoperability and cash infrastructure

    The project focuses on testing the interoperability of the autonomous robot within the greenhouse environment. In addition, it is evaluated whether the new key lab functions effectively and whether all work points are carried out correctly.

    Result and reflection

    Successful installation and areas for improvement

    On December 23, 2024, the installation and three test treatments were successfully carried out. The connection between the app and the robot is intuitive, and the robot can independently perform a complete treatment.

    Successes:

    • The autonomous robot was successfully installed and tested.

    • The connection with the app runs smoothly and intuitively.

    • The key lab was validated as part of the infrastructure.

    Lessons learned:

    • The structure and content of the data file need better alignment beforehand to ensure more efficient processing.

    Leading Partners involved