The European Research Infrastructures (RI) on plant phenotyping (EMPHASIS), ecosystems experimentation ( AnaEE ), long term observation ( eLTER ) and data management and bioinformatics (ELIXIR) join their forces in the EU funded project PHENET to codevelop next generation of tools, methods for the development of crop varieties, agricultural management practices to face future climatic scenarios across Europe and accompany agroecological transition. These tools are tested in a range of use cases addressing specific scientific questions and will result in new services that will be implemented and available within the RIs involved in PHENET.
With this webinar series we provide an overview of the nine PHENET use cases, we address their scientific questions, present the tools that will be developed and provide a platform for a discussion and exchange with different stakeholders from academia and industry. Each webinar will include multiple speakers addressing a methodological section with presentation of latest developments in hardware, software, modelling solutions followed by applications of these methods to address relevant scientific questions illustrating how next generation phenotyping and envirotyping tools and methods can help
to analyse different facets of the soil component, to explore the complex biotic interactions in agroecosystems, to decipher the complex genotypes by environment interaction, and to foresee how these tools and methods can be used to assess crops and forests across scales.

Speaker
Bertrand Muller, INRAE
- Introduction of PHENET and the webinar
Cyril Pommier, INRAE
- Open Science services for data management, integration, sharing and modelling
David Rousseau, Univ. Angers
- Adaptable phenotyping devices with AI embedded targeted towards agroecological traits
Philipp Vermeulen, CRA
- W Plant Health: Validated sensors and methodology applicable for biotic stresses in wheat
Madhuri Paul, Univ. Bonn
- Intercropping in Europe: a systematic mapping study of arable grain crops
Oliver Schweiger, UFZ
- Multiple sensors in sentinel bumble bee colonies to disentangle and predict multiple pressures on bee health