Purpose & Scope
This on-demand training explores how robotics and AI are transforming viticulture and other labour-intensive farming sectors. It covers the challenges faced by growers, the potential of automation, and how AI enhances robots’ ability to recognise problems, people, animals, and objects.
Participants will see real-world examples, including the DIONYSOS viticultural robot, and learn about technical approaches such as 3D-LiDAR, anomaly detection, SVMs, and autoencoders, highlighting how these tools improve efficiency, precision, and sustainability.
If you want to get more information about the training, please get in touch with agrifoodtef@josephinum.at
Learning objectives
Participants will learn about:
- Current challenges in fruit growing and viticulture
- Technical concepts for agricultural automation
- Environmental and operational conditions in viticulture
- Development of viticultural robotics, with a focus on DIONYSOS
- Anomalies in fruit growing and viticulture
- Human detection using 3D-LiDAR
- Anomaly detection with Raspberry Pi cameras
- SVMs and autoencoders
Learning outcomes
Participants will:
- Gain an overview of opportunities and challenges of robotic and AI-based solutions in viticulture
- Understand common problems in fruit and wine growing
- Learn key technical approaches for automation in agriculture
- Recognise sensor-related challenges in viticulture
- Understand the principles of human detection using point clouds
- Understand the basics of anomaly detection using autoencoders
Who should attend?
Viticulture and fruit-growing stakeholders, robotics developers, innovators, SMEs, EDIHs, and researchers working on automation, AI, and agricultural digitalisation.
Robotics
Viticulture
