Publications

Publications

Presentations
Posters

Reports

Jobs

Scientific presentations created in the context of PHENET

Philippe Vermeulen: Apport 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

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: https://zenodo.org/records/10697161

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

Scientific Posters created in the context of PHENET

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: 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.

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

Jobs

Access Manager / Operation Officer, AnaEE-ERIC, Gif-sur-Yvette, south of Paris, France (https://www.anaee.eu/about/working-anaee)

Last Modified: 30.01.2025