16.45 – 17.00 (CEST, UTC+2)/9.45 – 10.00 a.m. (CDT, UTC-5)
Check-In + Welcome
17.00 – 17.45 (CEST, UTC+2)/10.00 – 10.45 a.m. (CDT, UTC-5)
Keynote 1 – Bruno Basso
Bruno Basso (Michigan State University)
Digital Twins to Scale Sustainable Agricultural Systems
17.45 – 18.45 (CEST, UTC+2)/10.45 – 11.45 a.m. (CDT, UTC-5)
Parallel Sessions + Discussion
Room 1
Panel Discussion: Robust Field Robotics for Complex Agricultural Environments
Ard Westerveld (Saxion University of Applied Sciences)
SMART robotics in the unstructured agricultural environment
Felix Esser (University of Bonn)
Field robot for highthroughput and high-resolution 3D plant phenotyping
Arun Narenthiran Sivakumar (University of Illinois Urbana-Champaign)
CropFollow++: Robust under-canopy navigation with keypoints
Rajitha de Silva (University of Lincoln)
Keypoint-semantic integration for improved feature matching in outdoor agricultural environments
Room 2
Panel Discussion: Advancing AI and Robotics for Precision Crop Management
Linn Chong (University of Bonn)
No Labels Required: Zero-Shot Segmentation with Foundation Models
Luiz Carlos Marques Junior (UNESP Bauru)
Lightweight deep neural networks for low-cost hardware: identifying invasive species in crops
Abhinav Pagadala (University of Illinois Urbana-Champaign)
Precision mechanical robotic weeding for specialty crops
Gianmarco Roggiolani (University of Bonn)
Unsupervised semantic label generation in agricultural fields
Room 3
Panel Discussion: Harnessing Data and Technology for Sustainable Agriculture
Olivia Zumsteg (ETH Zurich)
Estimating wheat head volume as yield-determining trait
Anna Massfeller (University of Bonn)
Action- or results based payments for ecosystem services in the era of smart weeding robots?
Sharear Roman (University of Bonn)
Modeling the Profitability of Sustainable Agricultural Innovations at Global Scale
Kaouter Essakkat (University of Illinois Urbana-Champaign)
From data to decisions: Modeling farmer adoption of AI weed technology
18.45 – 19.30 (CEST, UTC+2)/11.45 a.m. – 12.30 p.m. (CDT, UTC-5)
Keynote 2 – Andreas Hund
Andreas Hund (ETH Zurich)
Computer vision to evaluate field experiments
19.30 – 20.15 (CEST, UTC+2)/12.30 – 1.15 p.m. (CDT, UTC-5)
Parallel Sessions + Discussion
Room 1
Panel Discussion: Genomic Selection and Data Integration for Enhancing Crop Performance
Sarah Richards Widener (University of Illinois Urbana-Champaign)
Leveraging perennial sorghum using genomic selection for food security
Boris M.E. Alladassi (University of Illinois Urbana-Champaign)
Developing a new hierarchical model for improved cross subpopulation genomic prediction in plants
Lukas Krusenbaum (University of Bonn)
Rice gene bank phenomics using publicly available pan-genomic resources
Room 2
Panel Discussion: Advanced 3D Plant Reconstruction & Phenotyping
Joaquin Gajardo (ETH Zürich)
Wheat 3DGS – In field 3D reconstruction, instance segmentation and phenotyping of wheat heads with gaussian splatting
Elias Marks (University of Bonn)
Tree skeletonization from 3D point clouds by denoising diffusion
Peter Pietrzyk (Fraunhofer IIS)
AI-based 3D plant reconstruction and analysis technology – Phenotyping for sustainable crop production
Jianchao Ci (Wageningen University & Research)
SSL-NBV: a self-supervised learning-based NBV algorithm for efficient 3D plant reconstruction by robots
Room 3
Panel Discussion: Modeling and Cropping Systems
Ixchel Hernandez-Ochoa (University of Bonn)
Modelling and understanding the impacts of within field heterogeneities on diversified cropping systems
Lena Brüggemann (Vista GmbH)
Agrivoltaics crop yield modeling
Kathrin Grahmann (ZALF)
Landscape experimentation: knowledge gaps filled, and lessons learned from patchCROP’s 1st phase 2020 to 2024
20.15 – 21.00 (CEST, UTC+2)/1.15– 2.00 p.m. (CDT, UTC-5)
Keynote 3 – Madhu Khanna
Madhu Khanna (University of Illinois Urbana-Champaign)
Artificial Intelligence-Based Digital Technologies for Sustainable Agriculture
21.00 – 21.05 (CEST, UTC+2)/2.00– 2.05 p.m. (CDT, UTC-5)
Closing Remarks