08:00 – 17:30

Excursion with demonstrations and presentations at:
- Forschungszentrum Jülich (indoor phenotyping)
- Campus Kleinaltendorf (field phenotyping)

This day will provide exciting insights into plant phenotyping within German Plant Phenotyping Network (DPPN). It will include visits to facilities at Forschungszentrum Jülich and Campus Kleinaltendorf, where participants will learn about unique plant phenotyping technologies, activities and best case examples provided by the users of these facilities within the framework of the project DPPN-ACCESS 2.0 funded by the BMFTR (Grant Agreement FKZ031B1500).

Bus transfer and lunch will be provided and is included in the conference fee. Participation without prior registration to the conference will not be possible.

Participants will meet at 8:00 am local time in Campusallee (Carl-Troll-Straße 31), 53115 Bonn (next to LIMES building). Please be there in time to allow for relaxed bus boarding (and further organisation) and note that buses will leave at 8:30 am sharp.

To enter the Forschungszentrum Jülich, you must present your identity card or passport. Please remember to bring it with you!

The end of the excursions will be around 5:30 pm local time, and buses will drop the participants at the initial meeting point.

Please note, depending on the weather, it's best to bring a jacket and something to protect you from rain as we will also visit facilities in the field.

 

 

Detailed Program

Destinations: Forschungszentrum Jülich (FZJ) & Campus Klein-Altendorf (CKA)
Groups: 4 different groups (guides on site will divide the groups).
Transport: 4 buses will take participants from Bonn (Campusallee, 53115 Bonn, next to LIMES building – GPS: Carl-Troll-Straße 31) to FZJ and CKA, and back.

Meeting point: 08:00 am at departure place (buses leave latest 08:30 am).
Please bring your ID card or passport for entry to FZJ!

 Group Allocation

  • Groups “Sugar Beet” & “Barley” → FZJ first, then CKA
    Guides: Felix Kröber, Robert Koller
  • Groups “Safflower” & “Field Bean” → CKA first, then FZJ
    Guides: Mark Müller-Linow, Roland Pieruschka

 

Forschungszentrum Jülich (FZJ, IBG-2)

Address: Forschungszentrum Jülich, Leo-Brandt-Straße, IBG-2

Presentations (Large Seminar Room)

Greenhouse Demonstrations

 

Campus Klein-Altendorf (CKA)

Address: Campus Klein-Altendorf ("Nord"), Campus Klein-Altendorf 1, 53359 Rheinbach

Machine Hall South

  • Thomas Beyel & Christian Brünker: Welcome to CKA and functionalities
  • Onno Muller: Breedface operation (demonstration from bus/outside)

Forum

  • Uwe Rascher et al (IBG-2): Field Phenotyping
  • André Cornelißen (PhenoRob): Robotics in field phenotyping

Networking

  • Fair with drinks around the forum

 

Timetable Overview

08:00 – Meeting at Bonn (Campusallee, 53115 Bonn)

08:30 – Bus departure

Morning – Groups divided: Sugar Beet & Barley → FZJ, Safflower & Field Bean → CKA

Lunch & Transfer – Switch locations

Afternoon – Groups continue program at second site

17:00/17:30 – Return to Bonn

08:30 - 11:00

Registration / parallel workshops in small rooms -> separate program

Welcome and Opening

11:00 - 12:00

Uli Schurr, FZJ
Welcome by DPPN
Susie Robinson, EMPHASIS
European Research for Plant Phenotyping: EMPHASIS
Brigitte Müller, City of Bonn
Presentation of the history of the plenary building

12:00 - 12:30

Impact of plant phenotyping

Key lecture: Astrid Junker, Syngenta
When Academia meets Industry: turning phenotyping into impact

12:30 - 13:30

Lunch

Session 1.1: Phenotyping for stress resilience and tolerance 

13:30 - 15:00

Chair: Lukáš Spíchal, Palacký University Olomouc

Key lecture: Anne-Katrin Mahlein, IFZ
Digital phenotyping of plant-pathogen-interactions - insights into research for plant breeding and plant protection

Lina Hempel, Humbold-Universität zu Berlin
Genotype-specific shoot–root interactions and nitrogen-dependent plasticity shape wheat performance in intra- and inter-genotypic canopies

Dan Jeric Arcega Rustia, WUR
Botrytis lesion screening on strawberries using deep learning with zero-shot prompt-based annotation assistance

Antonio El Chami, University of Tuscia
Evaluation of microalgal extracts for enhancing stress tolerance in tomato and lettuce using high-throughput phenotyping

Poster Pitches:
Damien Vincke, CRA-W: Field assessment and specificity of Fusarium Head Blight detection on wheat using Near Infrared Hyperspectral Imaging
Noémie De Zutter, Ghent University: A multi-scale phenotyping approach to unveil the biostimulant potential of Serendipita
Deepthi Konche, FZJ: Interactive effects of elevated CO₂ and Cercospora leaf spot on photosynthesis and yield traits in field-grown sugar beet characterized using passive and active chlorophyll fluorescence
Samuele Caolin, LIST: Preliminary assessment of ectomycorrhizal colonization impacts on root architectural traits  
Laurence Vandenbulcke, Ghent University: Biological control of Phytophthora infestans in Solanum tuberosum by volatile organic compounds

15:00 - 15:30

Coffee & Snacks / Speakers corner - meet the speakers

Session 1.2: Phenotyping for stress resilience and tolerance 

15:30 - 17:00

Chair: Michela Janni, CNR

Key lecture: David Kramer, Jan IngenHousz Institute
Genetically controlled limitations to photosynthesis under real world fluctuating conditions: The OpenJII approach and platforms.

Rachna Behl, HMGU
Multi-generational impact of future climate conditions on Arabidopsis thaliana epigenome and phenotype

Liang Tang, Nanjing Agricultural University
Study on short-term high temperature stress on rice by combining high-throughput phenotyping and genome-wide association study

Frederike Stock, ANU
Phenotyping wheat varieties for heat tolerance – a case study from down under

Poster Pitches:
Ankur Sahu, IPK Gatersleben: panomiX Enables Integration of Phenomics and Multi-Omics Data to Reveal Molecular Drivers of Plant Traits
Peter Pietrzyk, Fruanhofer Institute: Technology Center for Phenotyping in Merkendorf: Integrating Above- and Below-Ground Trait Analysis
Gaspard Russias, Photonics Bretagne: Field-Ready Compressive Spectral Imaging for High-Throughput Plant Phenotyping: Insights from the PRO-PIX Deployment at PhenoFIELD
Shree Pariyar, Salk Institute: Integrative Phenomics Accelerates the Development of Engineered Crop Root Systems
Michela Janni, CNR: Bioristor: a novel in-vivo Functional Phenotyping tool to decipher tomato drought response dynamics

17:00 – 17:30

Coffee & Snacks / Speakers corner - meet the speakers

17:30 – 19:00

Poster session

 

 Session 2: Phenotyping for innovative practices 

09:00 – 10:30

Chair: Francisco Pinto, WUR 

Keynote lecture:
Frank Ewert, ZALF
Novel technologies for innovative practices: supporting crop diversification through digital agriculture

Fabio Fania, CREA
Digital canopy height measured with RGB-UAV drone revealed the time sequence activation of Rht and Vrn genes in bread wheat

Laura Lescroart, CIRAD
Phenotyping canopy-level photosynthetic responses to intermittent shading: beyond the daily light integral in multilayered cropping systems

Lejun Yu
Nondestructive 3D phenotyping method of plant fruits based on X-ray micro-computed tomography and deep learning

Poster pitches
Simon Ravé, INRAE: Dictaphen: Accelerating Field Phenotyping Using Automatic Speech Recognition and Large Language Models
Xavier Drye, UC Louvain: How to Capture Within-Field Heterogeneity Across Multi-Year Crop Rotation: High-Resolution Insights from Sentinel-2 Imagery
Julie Krämer, FZJ: Mapping Bean-Wheat Mixture Effects with Solar-Induced Fluorescence and Hyperspectral Imaging
Pedro Correia, U Copenhagen: Advancing monocot grafting through AI-driven phenotyping
Emilio Villar Alegria, Albrecht Daniel Thaer-Institute of Agricultural and Horticultural Sciences: Model-assisted high-throughput approach to phenotyping biochemical capacity of photosynthesis

10:30 - 11:00

Coffee & Snack / Speakers corner - meet the speakers

Focus Session: AI for phenotyping

11:00 - 12:30

Focus Session 1.1: AI in plant sciences and beyond

Ribana Roscher, Forschungszentrum Jülich
Beyond Classification and Regression: Explainability, Uncertainty, and Generative Models in Plant Phenotyping

Marija Popovic, TU Delft
Learning Robust Computer Vision for UAVs in Agricultural Environments        

Spyros Fountas, Agricultural University of Athens
Artificial Intelligence for crop health

Jens Behley, Universität Bonn
Using Foundation Models for Agricultural Applications

12:30 - 13:30

Lunch

13:30 - 15:00

Focus Session 1.2Key stages of an AI project

David Rousseau, University of Angers
Management of AI-based projects

Ribana Roschner, Forschungszentrum Jülich
Marija Popovic, TU Delft
Spyros Fountas, Agricultural University of Athens
Jens Behley, Universität Bonn

15:00 - 15:15

Group photo

15:15 - 15:45

Coffee & Snacks / Speakers corner - meet the speakers

15:45 - 17:00

Poster Session

17:00 - 18:30

Early Career Professionals Network (ECPN)

ECPN Introduction:
Meet the team, and learn about our mission, vision, and future plans.

Panel Discussion:
Gain insights from international experts: Alexander Bucksch (USA), Tony Pridmore (UK), Vincent Jalink (NL), and Richard Poireè (AUS)

Flash Presentations:
Hear from early career professionals about their innovative research in plant phenotyping

19:00 – 22:00

Conference dinner at the venue

 

 Session 3: Phenotyping the hidden half

09:00 – 10:30

Chair: Robert Koller, FZJ 

Keynote lecture: Kristian Thorup-Kristensen, University of Copenhagen
Root phenotyping aimed at crop breeding towards improved water and nitrogen use

Wanneng Yang, Huazhong Agricultural University
What can high-throughput root phenotyping and AI bring us?

Marion PRUDENT INRAE – Bourgogne Franche Comté
Deciphering key root traits involved in phosphorus tolerance in bread wheat (Triticum aestivum L.)

Laura Verena Junker-Frohn, FZJ
Root phenotyping for drought tolerance traits in the underutilized crop plant buckwheat

Poster pitches
Juan C Baca Cabrera, FZJ: Phenotyping root anatomical and hydraulics traits in wheat: effects of breeding history and spatial gradients along the root
Guillaume Blanchy, ILVO: HYDRAS: Imaging the Hidden Half with Electrical Resistivity Tomography (ERT)
Katia Beauchene, ARVALSI: What are the main characteristics to be considered when describing root architecture in field conditions?
Salar Shaaf, IPK Gaterleben: Brewing Better Roots for the future of coffee - Exploring diversity of root system architecture under contrasting nutrient supply in wild and cultivate coffee species
Timo Strack, Hochschule Geisenheim: Integrating Root Phenotyping and Performance Proxies into Grapevine Rootstock Breeding

10:30 - 11:00

Coffee & Snack / Speakers corner - meet the speakers

Panel Session: Future development in plant phenomics

11:00 - 12:30

Impulse presentation and discussion
Participants: policy, science, industry

Agata Gulisano European Commission
EU Research & Innovation supporting healthy, sustainable and resilient cropping systems

12:30 - 13:30

Lunch

 Session 4: Phenotyping for improvement of yield and quality

13:30 - 15:00

Chair: Kerstin Neumann, IKP Gatersleben

Keynote lecture: Pierre Matre, INRAE
Smart data for smart crops: predicting performance with high-throughput phenotyping and

Jana Kholova, Palacky University Olomouc
Phenomic approaches to aid agri-system transformation: X-ray systems to scale-up operations in crops breeding and commodity value-chains

Madhuri Paul, Universtiy Bonn
Intercropping in Europe: Demonstrated higher land use efficiency over monocultures

Marianne Gani, INRAE
Development of a Machine Learning model to predict sunflower seed humidity

Poster pitches
1 Carlos A. Robles-Zazueta, Hochschule Geisenheim: Multimodal high-throughput phenotyping to link cluster architecture with agronomic and quality traits in Riesling and Pinot noir clones

2 Beat Keller, ETH Zurich: Autonomous screening for photosynthetic efficiency in common pea breeding lines
3 Jara Jauregui Besó, University of Barcelon: Multi-sensor phenotyping of yield and yield stability for genotype selection in durum wheat
4 Xiaoxin Song, TUM: Stay-green traits captured by spatiotemporal traits of UAV-based canopy spectra from the phenology of different winter varieties and their response to climate
5 Jiří Chuchlík, Czech University of Life Science Prague: From Subjective to Objective Bud-break Phenology Assessment: CNN-Assisted RGB Imaging in Norway Spruce Seed Orchard

15:00 - 15:30

Closing

 

Sessions  description


EPPS will provide a platform for the presentation of recent results in dedicated plenary and poster sessions, it will demonstrate the impact generated by plant phenomics and discuss the future development of plant phenomics.  A complementary focus session will address the use of Artificial Intelligence (AI) applications in plant phenomics.

 Participants can submit abstracts for oral and poster presentations related to following sessions:

  • Session 1: Phenotyping for stress resilience and tolerance
    Phenotyping of traits associated wit abiotic stress and reliance as well as biotic stress tolerance under controlled and field conditions 

  • Session 2: Phenotyping for innovative practices
    This session includes practices related to specific crops (minor crops, orphan crops, perennial crops, bioenergy crops etc. ), smart agriculture and management, intercropping systems, low input agriculture, regenerative agriculture etc.

  • Session 3: Phenotyping the hidden half
    Phenotyping of traits associated with root architecture, growth dynamics, and interactions with soil microbiomes etc.

  • Session 4: Phenotyping for improvement of yield and quality
    Identifying traits linked to higher productivity and superior nutritional or market value, breeding applications under controlled and field conditions

 

Additional the sessions include (no abstract submission possible):

  • Excursion
    One session in a greenhouse and one session in a field site with demos and presentations

  • Focus session: Basic and advanced use of AI in plant phenomics
    The session will explore the transformative role of AI in plant phenomics, with invited speakers sharing insights into its basic understanding of AI and advanced application followed by a discussion about the role of AI  to address complex challenges in plant science

  • Panel discussion: Future development in plant phenomics
    The discussion will include an impulse presentation outlining future challenges in agriculture in Europe and address the future directions of plant phenomics to address these challenges including input from researchers, practitioners, and policymakers

 

Keynote speaker


Astrid Junker

Astrid Junker is a digital transformation and phenomics expert with a distinguished career in agricultural technology and digital innovation. Since 2021,she is serving as Global Head Phenomics at Syngenta Seeds GmbH. In this role she is developing, testing and implementing automated and digitized data capture solutions to effectively benefit trialing and operations in plant breeding. She also managed a company-wide digital transformation initiative including the lead of cross-functional development teams and the deployment of a new trialing software across regions. Previously, she held the position of Research Group Leader at IPK Gatersleben (2018-2020), where she coordinated phenomics facilities and had a research focus on crop acclimation dynamics. From 2012 to 2020, she served as Scientific Coordinator for the German Plant Phenotyping Network, where she designed and implemented comprehensive phenotyping infrastructure and established global academic partnerships.

Anne-Katrin Mahlein

Anne-Katrin Mahlein is a trained phytopathologist and studied agriculture at the University of Bonn, Germany. Since 2017 she is head of the Institute of Sugar Beet Research (IfZ) Göttingen, Germany an affiliated institute of the University of Göttingen. She studies plant phenotyping and plant-pathogen interactions using mobile sensing and the integration of intuitive and efficient data analysis methods. These digital applications are widely used in plant breeding. Main projects include the digital field trials “FarmerSpace” (BMEL) and the DFG-funded cluster of excellence “PhenoRob”.

Dave M. Kramer

Kramer's research focuses on how plants convert light into usable energy, with a special emphasis on the dynamic regulation of photosynthesis. His lab has developed innovative tools for real-time, in vivo monitoring of photosynthetic processes—tools now widely used to better understand plant performance and environmental responses. In 2023, he became the Founding Scientific Director of the Jan IngenHousz Institute in The Netherlands, heading an international effort to advance photosynthesis research and sustainable crop improvement through innovation in open.

 

Kristian Thorup-Kristensen

Kristian Thorup-Kristensen is professor in Crop Science at University of Copenhagen. His has worked with crop root research for many years, studying deep root growth and function of many crops under field conditions. The root research has included the significance of root growth on cover crop nitrogen recovery and on optimizing nitrogen use efficiency in crop rotations. In recent years he has worked with the development of field-scale root phenotyping facilities such as the RadiMax, and studied deep root phenotyping of different crops. Root growth is studied mainly with minirhizotron methods, in combination with studies of root function using stable isotopic tracers.

 

Pierre Martre

Pierre Matre is a Research Director at INRAE, Montpellier, France. His research focuses on cereal adaptation to climate change. His group develops and integrates a combination of ecophysiological, phenomics, and modeling approaches to predict the responses of genotypes to heat and drought scenarios and identify traits that can be used by breeders and integrated in genomic prediction pipelines. He is the director of the INRAE – Institut Agro Montpellier Joint Research Unit LEPSE, a PI of the French Institute on Digital Agriculture #DigitAg, and co-leader of the AgMIP-Wheat team.

Marija Popovic

Marija Popović is an Assistant Professor at the Faculty of Aerospace Engineering at TU Delft, where she is part of the Micro Air Vehicle Laboratory. Previously, she was a Junior Research Group Leader at the Cluster of Excellence "PhenoRob" at the University of Bonn and a Research Associate at Imperial College London. She completed her PhD at ETH Zurich in 2019. Her research focuses on robotics and AI, focusing on robotic exploration, active sensing, mapping, computer vision and machine learning.

Ribana Roscher

Ribana Roscher is Professor of Data Science for Crop Systems at the University of Bonn and Forschungszentrum Jülich, Germany. Her research is positioned at the interface of machine learning, remote sensing, and agricultural and environmental sciences. She focuses on interpretable, uncertainty-aware, and data-centric machine learning methods to better understand plant processes and extract scientific knowledge from complex and imperfect data. Her work tackles challenges such as learning under real-world field conditions, handling sparse or noisy labels, and improving model explainability to support decision-making in crop production and environmental monitoring.

Jens Behley

Jens Behley is a lecturer at the Department for Photogrammetry and Robotics at the University of Bonn. His research interests include perception for autonomous vehicles and agricultural robotic applications. He finished his habilitation at the University of Bonn in 2023. From September 2008 to July 2015, Jens worked at the Department for Computer Science III, University of Bonn, and he successfully defended his PhD thesis in January 2014. He is an Associate Editor at IEEE Robotics and Automation Letters (RA-L).

 

Spyros Fountas

 Dr. Spyros Fountas is Professor in Precision Agriculture at the Agricultural University of Athens, Greece. He holds an MSc from Cranfield University in the UK in Information Technology and PhD from Copenhagen University, Denmark in Systems Analysis on Precision Agriculture. He was also Visiting Scholar at the Agricultural and Biological Engineering at Purdue University in the USA. He is currently Editor-in-Chief in the ELSEVIER journal “Smart Agricultural Technology”.He has been Keynote speaker in various international Conferences and Fairs. He has participated in more than 40 European funded projects, where he has been coordinator in 6 projects related to the application and evaluation of new technologies in agriculture and rural environment. He has published more than 200 papers, including peer-review journal, conference papers and book chapters and he has 11,500 citations (Google scholar – July 2025).

David Rousseau

David Rousseau is a Professor in Data Sciences at the Université d'Angers France and a member of INRAe center there. His research focuses on artificial intelligence and machine learning applied to life sciences, with a particular emphasis on plant phenotyping and envirotyping. He develops digital tools to measure plant traits and to extract meaningful biological information from images, time series, and sensor networks. His work makes use of advanced modalities such as X-ray imaging, hyperspectral imaging, 3D imaging, .... A central aspect of his research is the design of robust pipelines for image analysis and deep learning models that enable high-throughput and reliable measurements in agriculture and plant biology. Collaboration with experts in biology, physics, and computer science is key to validating these methods on real and diverse datasets. In addition to methodological development, he contributes to discussions on data governance, AI project management, and best practices for reproducible research. Overall, his activity bridges AI innovation and applied plant sciences, providing both fundamental insights and practical tools with impact on research and industry. 

Frank A. Ewert

Frank A. Ewert is Scientific Director of the Leibniz Centre for Agricultural Landscape Research (ZALF) in Müncheberg and Professor of Crop Science at the University of Bonn, Germany. His research focuses on the analysis and modelling of crop systems in relation to climate change, food security and sustainable intensification. He has also worked on integrated modelling and on scaling up crop system responses to larger landscape, national and global levels and on using digital technologies for sustainable and resilient crop production. Frank has been member and chair of many national and international advisory boards. He has been PI and coordinator of several larger national and international collaborative research projects. Most recently, he is PI and member of the steering group of the DFG Excellence Cluster PhenoRob and spokesperson of FAIRagro within the NFDI. Frank is in the AgMIP leaders forum and co-leads AgMIP-Wheat and scaling and aggregation.