Precision agriculture techniques are essential for increasing crop yields while reducing environmental impact, particularly in the face of climate change effects. Commercial robotic solutions are actively being deployed to assist in agricultural tasks. However, autonomous robots are far from reaching their full potential in this domain. Fully autonomous robots can significantly impact precision agriculture by providing mapping, sensing, or manipulation capabilities for crops and forests, enabling fruit counting, tree diameter estimation, crop disease detection, carbon sequestration quantification, smart spraying, and biomass estimation, among others.
This workshop bridges industry and academia to discuss how to close the gap towards autonomous robots in agricultural and field robotics settings. Key topics include innovative forestry techniques for tree diameter and biomass estimation, datasets, semantic simultaneous localization and mapping (SLAM), motion planning and navigation in cluttered environments, crop inspections, and applications. Attendees will gain insights into the latest research and developments at the intersection of precision agriculture and robotics from academic and industrial perspectives, as well as the open challenges in the field and novel approaches to tackling them.
This workshop will also provide a forum for researchers beyond the agricultural robotics community to learn about this field, encouraging them to apply their expertise in this challenging domain.
