Publications

Publications

Presentations
Posters

Reports

Publications

Scientific presentations created in the context of PHENET

Report: Sven Gedicke, Risvi Shiyaza, Jan-Henrik Haunert (2024): Report on the FAIRagro Workshop on Data Quality for Data Analytics in Agrosystem Science (DQ4DA). doi: doi/10.5281/zenodo.10697160. Direct link

Presentation: Stijn Dhondt, Roland Pieruschka (2024): EMPHASIS an related projects, IPPS, Lincoln Nebraska, USA

Presentation: Aike Potze (WU - WP5): Prediction of GxExM with Multimodal Deep Learning, GxExM III Symposium, Wageningen, NL, Oct 30-31, 2024

Keynote presentation: Ioannis Athanasiadis (WU- WP5): Knowledge-guided machine learning in plant phenomics, 2024 UK Plant Phenomics Town Hall and Conference, Sept. 4-5, 2024, Warwick, UK.

Keynote presentation: Ioannis Athanasiadis (WU- WP5): Agriculture in the Artificial Intelligence era, Ag2050 Future of Farming Systems Research Symposium, Jun. 4-5, 2024, CSIRO, Adelaide, Australia.

Keynote presentation: Ioannis Athanasiadis (WU-WP5): “Artificial intelligence in plant phenotyping – towards end-to-end modelling”,  Nordic-Baltic Plant Phenotyping Network Annual meeting, November 21 - 22, 2024, Båstad, Sweden

Oral presentation: Paul, M., van der Werf, W., & Döring, T. (2024, August 26–30). Intercropping in Europe: A systematic mapping study of arable grain crops (No. 82). Presented at the 18th Congress of the European Society for Agronomy, The Couvent des Jacobins, Rennes, France. Retrieved from Institut Agro Rennes-Angers

Presentation: Philippe VermeulenApport de la spectroscopie et de l'imagerie proche infrarouge pour l'évaluation des maladies avant et après récolte : cas de la fusariose et de la carie sur blé tendre. 21 - 22 March 2024, Journées Groupe céréales, Bordeaux

Scientific Posters created in the context of PHENET

Poster: Corentin Demoitié: Detection of common bunt disease in wheat kernels and ears using visible and near-infrared hyperspectral imaging. 8 - 10 July 2024, IASIM, Bilbao.

Poster: Heba Ibrahim, Simone Gatzke, Sven Fahrner, Roland Pieruschka (2024): Phenotyping for agroecology, IPPS, Lincoln Nebraska, USA

Poster: Herearii Metuarea, David Rousseau: Leveraging on Foundation Deep Neural Models for Individual Apple Tree Segmentation in Dense Orchards via Prompt Engineering in RGB Images, 29 Sept 2024, ECCV, Milan Italy.

Poster: Paul, M., van der Werf, W., & Döring, T. (2025). Intercropping in Europe: a meta-analysis. ARPHA Conference Abstracts, 8. Direct doi link

Poster: Corentin DemoitiéDetection of common bunt disease in wheat kernels and ears using visible and near-infrared hyperspectral imaging. 8 - 10 July 2024, IASIM, Bilbao

Poster: Vincke, D. , Demoitié, C. , Eylenbosch, D. , Jacquemin, G. , Kayoka, N. , Plasman, L. , Scaut, B. , Rega, A. , Malice, D. , Mercatoris, B. , Baeten, V. & Vermeulen, P. (2025). Near infrared imaging for the health status of cereals. Poster in: Journée Scientifique du Groupe Céréales, 13-14 Mars.

Poster: Vincke, D. , Eylenbosch, D. , Treier, S. , Mascher, N. , Herrera, J. , Cadot, V. & Vermeulen, P. (2024). Phenomics – Study case : Detection of fusarium head blight (FHB) on wheat. Poster in: Final Invite conference, Bruxelles, Belgium, 10 December 2024.

Poster: Vincke, D. , Demoitié, C. , Eylenbosch, D. , Jacquemin, G. , Kayoka, N. , Plasman, L. , Scaut, B. , Rega, A. , Malice, D. , Mercatoris, B. , Baeten, V. & Vermeulen, P. (2024). L'imagerie infrarouge pour l'état sanitaire des céréales. Poster in: Salon Biowall’Innov, Assesse, 5 juillet 2024.

Poster: Csibi, A.-E., Sanden, H., Baykalov, P., Pereira, R., Cachada, A., Rewald, B., Spiegel, H., Sanden, T. and Perry, D.: Digital soil analysis and mapping using in-situ Vis-NIR spectroscopy – Challenges and future perspectives, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-19741, 2024.

Poster: Csibi, A.-E., Sanden, H., Baykalov, P., Pereira, R., Cachada, A., Rewald, B., Spiegel, H., Sanden, T. and Perry, D.: Developing machine learning based models for soil parameters prediction and mapping using Vis-NIR spectroscopic data, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-12259, 2025.

Scientific Reports created in the context of PHENET

Sven Gedicke, Risvi Shiyaza, Jan-Henrik Haunert (2024): Report on the FAIRagro Workshop on Data Quality for Data Analytics in Agrosystem Science (DQ4DA). doi: doi/10.5281/zenodo.10697160. Direct link

Heba Ibrahim, Sven Fahrner (2025): PHENET - 1st Policy Brief - PHENET, a 5-year Horizon Europe project, is designed to be a key driver for the agroecological transition in support of food security, climate change resilience, biodiversity, and soil carbon stock restoration in Europe. Four world-class research infrastructures (RIs), AnaEE, eLTER, ELIXIR, and EMPHASIS, join their forces to co-develop, with a diversity of innovative European. doi: 10.5281/zenodo.10599267 Direct link

Sven Fahrner (2025): Communication, Dissemination and Exploitation plan - Communication, Dissemination and Exploitation Plan - Deliverable 6.1. doi: 10.5281/zenodo.15006884 Direct link

David Rousseau (2025): Draft of specification for phenotyping devices - Draft of specification for phenotyping devices - PHENET Deliverable 2.1. doi: 10.5281/zenodo.15006996 Direct link

Roland Pieruschka (2025): Work plan for the Use Cases - Work plan for the Use Cases _ Deliverable 1.1. doi: 10.5281/zenodo.15005997 Direct link

Publications

Hybrid phenology modeling for predicting temperature effects on tree dormancy, Proc. Conf. AAAI Artif. Intell., 37:28458-28466, 2025

Knowledge-guided machine learning with multivariate sparse data for crop growth modelling, Field Crops Research, 328:109912, 2025, Elsevier BV

Soil-Gradient-Derived Bacterial Synthetic Communities Enhance Drought Tolerance in Quercus pubescens and Sorbus domestica Seedlings, plants 2025, 14(11), 1659; doi.org/10.3390/plants14111659

Vermeulen, P. (2024). Apport de la spectroscopie et de l'imagerie pour le phénotypage des productions végétales: Activités de phénotypage au CRA-W. Lecture in: L'apport de la spectroscopie et de l'imagerie pour le phénotypage des productions végétales, Gembloux Agro-Bio Tech Université de Liège, 10 Septembre 2024.

Vincke, D. , Demoitié, C. , Eylenbosch, D. , Jacquemin, G. , Kayoka, N. , Plasman, L. , Scaut, B. , Mercatoris, B. , Baeten, V. & Vermeulen, P. (2024). Near infrared imaging for cereal’s health status. Poster in: Agri-food and environmental strategies at the heart of Wallonia's S3, Namur, Belgium, 11 April 2024.

Vermeulen, P. (2024). Phenomics Study case: FHB detection in wheat. Lecture in: Final Innovar/Invite conference, Bruxelles, Belgium, 28 November 2024.

Vermeulen, P. , Cadot, V. & Herrera, J. (2024). Plant Health: Validated sensors and methodology applicable for biotic stresses in wheat. Lecture in: PHENET Webinar: biotic interaction in agroecosystems, Online, 29 November 2024.

E.A. Papoutsoglou, I. N. Athanasiadis, R.G.F. Visser, R. Finkers, The benefits and struggles of FAIR data: the case of reusing plant phenotyping data, Scientific data, 10:457, 2023, doi

Last Modified: 03.07.2025