Earth Precision Agriculture
Agricultural Robotics Conference Track
Deploy intelligent machines to enhance productivity, optimize resources, and build a more resilient and sustainable global food system.
About this Track
The agricultural robotics conference track at EPA 2026 is a premier forum for advancing automated systems poised to revolutionize global farming. As the world faces unprecedented challenges in food security, climate change, and labor availability, intelligent machinery and automation act as critical enablers of a more sustainable, efficient, and resilient future. This program provides a unique platform for researchers, engineers, practitioners, and industry leaders to share cutting-edge research, showcase innovative applications, and forge collaborations that will shape the next generation of agri-tech.
Attendees will find excellent opportunities for networking, allowing participants to connect with like-minded individuals and potential collaborators who share a passion for innovation in farming technology.

Additionally, the event features keynote speakers who are leaders in engineering and agriculture. These experts will discuss the latest advancements and future directions for automated farming, ensuring that attendees leave with a comprehensive understanding of the industry’s trajectory.
Don’t miss the chance to be part of this gathering, where the future of food production is being shaped through intelligent automation.
We invite original contributions that push the boundaries of what is possible in this field. We are interested in work that demonstrates practical prototypes, applications, and real-world impact—from autonomous tractors and intelligent implements to automated harvesters and swarms of aerial monitoring drones. This track aims to bridge the gap between theoretical research and on-the-ground deployment, fostering a vibrant community committed to solving the most pressing challenges in modern agriculture.
We welcome submissions across a broad range of topics, including but not limited to:
Perception and Sensing:
- Machine vision and deep learning for crop and livestock monitoring
- UAV-based remote sensing, data fusion, and analysis
- 3D reconstruction of agricultural environments
- Automated plant phenotyping and stress detection
- Novel sensor modalities for soil, water, and plant health assessment
Manipulation and Field Operations:
- Robotic harvesting, pruning, and thinning for specialty crops
- Soft robotics for delicate produce handling and grasping
- Autonomous seeding, weeding, and targeted spraying
- Mobile manipulation for complex in-field tasks
- End-effector design for agricultural applications
Navigation and Planning:
- Long-term autonomy and navigation in unstructured and dynamic farm environments
- Integrated task and motion planning for complex agricultural workflows
- Multi-robot coordination, collaboration, and swarm robotics
- Optimal path planning for energy and operational efficiency
- Simultaneous Localization and Mapping (SLAM) in agricultural settings
Learning and Adaptation:
- Learning from demonstration for agricultural tasks
- Reinforcement learning for robot control and decision-making
- Adaptive systems that respond to environmental variability
- Transfer learning across different crops, seasons, and conditions
- Human-robot interaction and collaborative farming systems
Systems and Applications:
- Digital twins for farm simulation, optimization, and management
- Robotics for indoor, vertical, and urban farming
- Robotics in livestock management and aquaculture
- Economic analysis and adoption models for agricultural robotics
- Ethical, legal, and social implications of agricultural automation
Leadership team

Dr. Yiannis Ampatzidis
Professor
Agricultural and Biological Engineering
Department Southwest Florida Research and Education Center
University of Florida

Prof. Abozar Nasirahmadi
Professor
Digitalisation in Agriculture Engineering
Swedish University of Agricultural Sciences

Prof. Ajay Sharda
Co-Director, Institute for Digital Agriculture and Advanced Analytics
Terry Beemer Foundation Chair for Engineering Innovation
Kansas State University

Dr. Shinkyu Park
Principal Investigator of Distributed Robotics and Autonomy Group
Department of Electrical and Computer Engineering
King Abdullah University of Science and Technology (KAUST)

Prof. Dimitrios S. Paraforos
Professor of Agricultural Engineering in Special Crop Cultivation
Department of Agricultural Engineering
Hochschule Geisenheim University

Dr. Redmond R. Shamshiri
Assistant Professor of Agricultural Robotics
Danish Institute for Advanced Study (DIAS)
University of Southern Denmark

Dr. Eduardo Navas Merlo
Research Scientist
Centre for Automation and Robotics
Spanish National Research Council and the Technical University of Madrid

Prof. George A. Kantor
Research Professor
Associate Director of Education
The Robotics Institute (RI)
Carnegie Mellon University (CMU)

Dr. Konstantinos Karydis
Director, Center for Robotics and Intelligent Systems (CRIS)
College of Engineering Center for Environmental Research and Technology
University of California, Riverside

Dr. Gurjit Randhawa
Assistant Professor
School of Computer Science
University of Guelph

Dr. Farhad Maleki
Director
Centre for Precision Agriculture
University of Calgary
Special Issue dedicated to the submission from this track
Selected submissions from the conference will be considered for inclusion in a special issue of Smart Agricultural Technology dedicated to showcasing outstanding presentations from the event. This opportunity highlights high-quality research contributions and offers authors a pathway to share their work with the broader Agricultural Robotics community.
Authors invited to submit to the special issue have the option to either:
- publish only an abstract or an extended abstract in the EPA proceedings and submit the full paper to the special issue, or
- augment their work by including at least 40% new content, including methodology, results, findings, and discussion points, if they choose to have their short or full papers be included in the EPA proceedings as well.
