AI & Robotics in Agrifood

There is a growing need for resilient, resource-efficient food production systems in the face of climate variability, rising input costs, and a shrinking agricultural workforce. Therefore, developing and implementing digital and automation solutions for the AgriFood sector becomes increasingly important. We drive data-based technologies to maximize efficiency, yield, and quality while compensating for labor shortages.

By integrating robotics, computer vision, and artificial intelligence across the value chain, from the first seed in the field to harvesting and processing, we enable precise, adaptive, and scalable interventions that reduce reliance on manual labor while improving traceability and product quality.

Applications range from autonomous harvesting and seeding robots to AI-driven quality inspection as well as disease and yield forecasting, supported by drone-based remote sensing for continuous crop and field monitoring.

We strive not only to encourage individual innovative technologies, but to focus on how these can be integrated into existing farm management, infrastructure, and equipment to ensure a smooth and sustainable transition toward a more future-proof agriculture.

• Robotics for harvesting, seeding, and food processing
• Computer vision for weed detection and quality control
• Artificial Intelligence for disease, pest and yield prediction
• Smart Farming: Drone technology and remote sensing for plant health

Responsible Person: Theresa Pflüger (Venture Manager Agriculture)