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# Robotic Intercropping

Intercropping cash and service crops using robotics

## Sitemaps

- [XML Sitemap](https://roboticintercropping.eu/sitemap.xml): Contains all public & indexable URLs for this website.

## Posts

- [News and Events](https://roboticintercropping.eu/news-and-events/)
- [Robotic Intercropping was highlighted in Nature Plants Editorial](https://roboticintercropping.eu/robotic-intercropping-was-highlighted-in-nature-plants-editorial/) - Robotic Intercropping was highlighted in Nature Plants Editorial Nature Plants has published its September 2025 Editorial, titled “Intercropping with Robots”. The text explores how robotics can enhance the scalability, resilience, and sustainability of intercropping systems. We are delighted that the editorial highlights the Robotic Intercropping project as an example of these developments being put into
- [Project Start Meeting 19th August 2025 in Taastrup](https://roboticintercropping.eu/project-start-meeting-19th-august-2025-in-taastrup/) - Project Start Meeting 19th August 2025 in Taastrup The Robotic Intercropping core team met on the 19th August 2025 in Taastrup. The meeting marked the official project start and was used to plan the field experiments and to align PhD and postdoc positions. © Marieke ten Hoeve The core team of the project was gathered
- [Press Release](https://roboticintercropping.eu/press-release/) - Press Release Read about the Robotic Intercropping project in the press releases of the project partners. University of Copenhagen English: Researchers will teach robots to grow wheat and clover grass on the same field Danish: Forskere vil lære robotter at dyrke hvede og kløvergræs på samme mark University of Southern Denmark English: Small agricultural robots

## Pages

- [Home](https://roboticintercropping.eu/) - © Fogelina Cuperus Robotic Intercropping A research project funded by the Novo Nordisk Foundation to co-develop intercropping cash and service crops with robotics. Our Vision Imagine a world where food production harmonises with natural processes, farmers nurture healthy soils, and biodiversity thrives. In contrast, current monoculture farming systems undermine this future with its dependence on high nutrient
- [Open Positions](https://roboticintercropping.eu/open-positions/) - © Dirk van Apeldoorn Open Positions Find our open PhD and Postdoc positions under each research area of the Robotic Intercropping project here. PhD Positions Area 1 – Agro-ecological Potential Open positions will be posted on this page. Area 2 – Ecological Interactions Among Plants Open positions will be posted on this page. Area 3
- [Publications and Press](https://roboticintercropping.eu/publications-and-press/) - © Dirk van Apeldoorn Publications and Press Read about Robotic Intercropping in publications and press here. Editorials Nature Plants, September 2025 Issue Intercropping with robots. Nat. Plants 11, 1701 (2025). https://doi.org/10.1038/s41477-025-02121-7 Press University of Copenhagen, August 2025 English: Researchers will teach robots to grow wheat and clover grass on the same field Danish: Forskere vil lære robotter at dyrke
- [Focus area 5 - Digital Twins](https://roboticintercropping.eu/focus-area-5-digital-twins/) - Focus Area 5 Digital Twins Scientific Hypothesis A digital twin provides a shared information base that improves decision-making across all four areas by linking acro-ecological knowledge, perception, and robot control, both in simulation and with physical robots Aims Develop digital twins that integrate relevant models for robotic support for intercropping systems at different layers: modelling
- [Core Leadership Team](https://roboticintercropping.eu/core-leadership-team/) - © Dirk van Apeldoorn Core Leadership Team In the Robotic Intercropping project, UCPH, SDU, DTU and WUR join forces to co-develop intercropping cash and service crops with robotics. Find contact information on our team members here. Scientific Area Leads Focus Area 1: Agro-Ecological Potential Dirk van Apeldoorn Wageningen University & Research Scientific Lead, Focus Area
- [Focus Area 6 - Innovation and Education](https://roboticintercropping.eu/focus-area-6-innovation-and-education/) - Focus Area 6 Innovation & Education Education Vocational education – development of teaching material and vocational teacher training in collaboration with the Danish Knowledge Centre for Agriculture, Horticulture and Forestry. University education – contribute to the development of interdisciplinary learning for agronomy and engineering students through project work (e.g., BSc or MSc thesis) and development
- [Focus Area 4 – Precision Actions with Autonomous Robots](https://roboticintercropping.eu/focus-area-4-precision-actions-with-autonomous-robots/) - Focus Area 4 Precision Actions with Autonomous Robots Scientific Hypothesis Modular robotic tools within multi-robot systems improve precision in crop and weed management. Coordinated canopy and ground-based robots (swarm robotics) enhance scalability and efficiency. Aims Design modular implements for the precision cutting/pruning of service crops and weeds Develop and coordinate a multi-robot system for field
- [Management Team](https://roboticintercropping.eu/management-team/) - © Dirk van Apeldoorn Management Team In the Robotic Intercropping project, UCPH, SDU, DTU and WUR join forces to co-develop intercropping cash and service crops with robotics. Find contact information on our team members here. Project Leadership Svend Christensen University of Copenhagen Project Leader, Professor Katharina Vollheyde University of Copenhagen Project Coordinator, Dr.rer.nat Management Team
- [Organisation](https://roboticintercropping.eu/organisation/) - © Dirk van Apeldoorn Organisation Here you find the organizational structure of Robotic Intercropping
- [Focus area 3 – Proximal Sensing with Autonomous Robots](https://roboticintercropping.eu/focus-area-3-proximal-sensing-with-autonomous-robots/) - Focus Area 3 Proximal Sensing with Autonomous Robots Scientific Hypothesis Fusing multi-modal sensor data improves the 3D model and anomaly detection. Long-term sensing data enhances models for plant growth and intercropping system performance Aims Develop AI models to represent plant structures and detect anomalies using sensor input. Build a long-term, evolving dataset of intercropping systems
- [Focus area 2 - Ecological Interactions Among Plants](https://roboticintercropping.eu/focus-area-2-ecological-interactions-among-plants/) - Focus Area 2 Ecological Interactions Among Plants Scientific Hypothesis Combinations of crop, tillage, sowing, and cutting/pruning can maintain the yield and effectively control weeds A 3D canopy-root model can predict above and below competition between cash and service crops, and weeds Above- and below-ground competition can be managed using sensing and operating robots Aims Identify
- [Focus Area 1 - Agro-Ecological Potential](https://roboticintercropping.eu/focus-area-1-agro-ecological-potential/) - Focus Area 1 Agro-ecological Potential Scientific Hypothesis Intercropping cash crops with leguminous service crops can enhance biodiversity and ecosystem services without compromising productivity. Trade-offs exist between maximising ecosystem services and optimising crop yield. Aims Conduct long-term systems experiments for studies on ecological interactions and ecosystem services above and below ground Describe trade-offs and identify causal
- [Living Labs](https://roboticintercropping.eu/living-labs/) - © René Havmand​ Living Labs The experimental fields in Taastrup and Wageningen serve as Living Labs, which are dynamic collaboration hubs, where stakeholders including researchers, farmers, technology developers, industrial scale-ups, and policy makers come together to co-design solutions and share insights. More information will come soon… © René Havmand Field trails at the experimental fields.
- [Project](https://roboticintercropping.eu/the-project/) - © Dirk van Apeldoorn Project More information will come soon… © Fogelina Cuperus Our Mission We want to push the boundaries of innovation and collaboration in sustainable agriculture by co-developing robotics and intercropping systems that enhance food security, support biodiversity, and build climate-resilient farming systems with efficient resource use.

## My Templates

- [Default Kit](https://roboticintercropping.eu/?elementor_library=default-kit)
- [WD Management Team](https://roboticintercropping.eu/?elementor_library=wd-management-team) - Management Team The Management Team is led by WildDrone’s Coordinator and meets every month. The team reports on general project progress to the Steering Board. The team organizes all board and review meetings, implements the decisions of the boards, and decides on matters concerning day-to-day operations. The team is composed of six members: The Coordinator
- [Research Area 1-5](https://roboticintercropping.eu/?elementor_library=research-area-1-5) - Research Area 1 Agro-ecological Potential Scientific Hypothesis Intercropping cash crops with leguminous service crops can enhance biodiversity and ecosystem services without compromising productivity. Trade-offs exist between maximising ecosystem services and optimising crop yield. Aims Conduct long-term systems experiments for studies on ecological interactions and ecosystem services above and below ground Describe trade-offs and identify causal
- [WD Theme test](https://roboticintercropping.eu/?elementor_library=wd-theme-test) - Gwénaël Duclos, a computer vision engineer, founded WIPSEA in 2013. His passion for wildlife conservation led him to retrain and apply his expertise in computer vision. During an Ecology MSc internship, he developed software to automatically count cetaceans in drone-captured images. Collaborating with others, he created ‘Harmony’, a deep learning software for wildlife detection. This
- [WD Boxes grey section](https://roboticintercropping.eu/?elementor_library=wd-boxes-grey-section) - DC1 Livestock-wildlife Interaction DC2 MIGRATION ANALYSIS On the Wings of a Stork: Revealing the Dynamics of Soaring Environments DC3 Effective Computer Vision for Conservation Focuses on development of computer vision techniques centered on vision-based control, tracking, animal censuses, and induvial characterization. DC4 Effective Computer Vision for Conservation Focuses on development of computer vision techniques centered
- [WD - Experimentarium](https://roboticintercropping.eu/?elementor_library=wd-experimentarium-3)
- [WD - Experimentarium](https://roboticintercropping.eu/?elementor_library=wd-experimentarium-2)
- [WD - Experimentarium](https://roboticintercropping.eu/?elementor_library=wd-experimentarium)
- [WD - Boxes w option photo](https://roboticintercropping.eu/?elementor_library=wd-boxes-w-option-photo-2) - DC1 – LIVESTOCK-WILDLIFE INTERACTION Registration How to apply Learn more Ethics Our Ethics Manager monitors and advises us on all ethics related issues and questions that arise. We also train our doctoral candidates to improve their understanding of the role ethics generally play in science and research as well as in their own projects. Learn
- [WD - Boxes w option photo](https://roboticintercropping.eu/?elementor_library=wd-boxes-w-option-photo) - DC1 – LIVESTOCK-WILDLIFE INTERACTION Registration How to apply Learn more Ethics Our Ethics Manager monitors and advises us on all ethics related issues and questions that arise. We also train our doctoral candidates to improve their understanding of the role ethics generally play in science and research as well as in their own projects. Learn
- [Scientific leadership 1 person -WD](https://roboticintercropping.eu/?elementor_library=scientific-leadership-1-person-wd) - Ulrik Pagh Schultz Lundquist is Full Professor and Head of the Drone Center (SDU UAS) at the University of Southern Denmark. He primarily conducts research on high-level software abstractions for aerial, mobile, and self-organizing robots, with a focus on safety, reliability and robustness. The aim of his work is to develop drone technology for a flourishing
- [TopTitle_padding-top](https://roboticintercropping.eu/?elementor_library=toptitle_padding-top) - Consortium

## Categories

- [Press](https://roboticintercropping.eu/category/press/)
- [Events and Meetings](https://roboticintercropping.eu/category/events-and-meetings/)