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Projects - prof.dr. I (Ioannis) Athanasiadis

Current major grants

  • PHENET - Tools and methods for extended plant phenotyping and envirotyping services of European Research Infrastructures (2023-2027), Horizon Europe, WP Leader.
  • Smart Droplets - Accelerating the achievement of EU Green Deal goals for pesticide and fertilizer reduction through AI, data and robotic technologies (2022-2026), Horizon Europe, WP Leader.
  • D3-C2 - Data-driven discoveries in a changing climate (2022-2024), Wageningen University & Research Investment Theme, Leader.
  • GREAT - Green deal dataspace alignment, (2022-2023), Digital Europe.

Recently concluded major grants

  • DFF - Digital Future Farm (2020-2022), WUR Strategic Theme Flagship, WP leader.
  • Cybele - Scalable big data analytics for fostering precision agriculture and livestock farming (2019-2022), Horizon 2020-Integrated Action, Task leader.
  • Dragon - Data-driven precision agriculture services and skill acquisition (2018-2022), Horizon 2020 Twinning Grant, WP leader.

Current PhD students

  • Aike Potze (2023-). Artificial intelligence for modelling genetics by environment interactions.
  • Hilmy Baja (2022-). Artificial Intelligence for reducing fertilizer and pesticide use.
  • Ron van Bree (2022-). Hybrid artificial intelligence for food security.
  • Jingye Han (Guest PhD, 2022-) Knowledge-guided machine learning for crop growth simulation and yield estimation
  • Remy Adriaensen (2022-). Next generation models for predicting canola hybrid seed yield performance in untested environments.
  • Ilias Tsoumas (2022-). Artificial intelligence towards sustainable agriculture using space-borne remote sensing data & other heterogeneous data sources.
  • Rassoul Sy (2022-). The transformation of agricultural production: impacts on rural livelihoods across sub-Saharan Africa
  • Rob Knapen (2021-). Geospatial data engineering for digital agriculture.
  • Dilli Paudel (2019-). Machine learning for regional crop yield forecasting.
  • Christos Pylianidis (2019-). Digital twins for precision agriculture.
  • Matt Scowen (Bangor Univ, 2019-). Machine learning for ecosystem services.
  • Christos Giovanopoulos (VU Amsterdam, 2018-). A synergy between anthropology and data science for infrastructural contenstation research.