University of Cambridge > Talks.cam > Energy and Environment Group, Department of CST > Robotics and Sensing for Sustainable Crop Production

Robotics and Sensing for Sustainable Crop Production

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Abstract

Crop farming is essential in our society, providing food, feed, fiber, and fuel. We heavily rely on crop production, but at the same time, we need to reduce the production footprint. We aim to address this key challenge by investigating new solutions to produce crops more sustainably. We study novel technology-driven approaches to move toward sustainable crop production. Agricultural robots offer promising directions to address management challenges in agricultural fields or support plant breeding efforts through large-scale trait acquisition. For that, field robots need the ability to perceive and model their environment, predict possible future developments, and make appropriate decisions in complex and changing situations. This talk will showcase our recent developments in robotics for crop production, incorporating machine learning to support farmers in operating more sustainably and reducing some negative impacts on the ecosystem.

Bio

Cyrill Stachniss is a Full Professor at the University of Bonn, where he leads the Lab for Photogrammetry and Robotics, focusing on mobile robotics, navigation, and perception. He also serves as a Visiting Professor in Engineering at the University of Oxford and is affiliated with the Lamarr Institute for Machine Learning and Artificial Intelligence. Prior to his current role, he was a lecturer at the University of Freiburg and a senior researcher at ETH Zurich, contributing significantly to the fields of simultaneous localization and mapping (SLAM) and agricultural robotics. Stachniss has co-founded multiple startups and has been recognized with several awards, including the IEEE RAS Early Career Award in 2013 for his innovative research contributions.

This talk is part of the Energy and Environment Group, Department of CST series.

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