SOURCE-LINKED INTELLIGENCE
Dynamic Regulation of photosynthEsis in light-Acclimated organisMs
illuminations, chlorophyll fluorescence, and original luminescent nanosensors. These data are processed with comprehensive theoretical tools (system identification, dynamical systems, system control, machine learning) to build a powerful dynamical model which delivers categorizing fingerprints for highly selective sensing and tailored modulated illuminations for enhancing lighting efficiency. Finally, we implement a server with incremental learning from an open source community to extend sensing to organisms and environmental conditions much beyond the ones used in our DREAM project. DREAM will expand knowledge on photosynthesis regulation and lead to major achievements: categorizing plant states (sensing stresses, selecting improved plants), improving controlled ecosystems (equipping lighting with sensing and decreasing its cost), and instrument design (targeting scientists and many more end-users). DREAM will further improve innovation in key European industries active in the fields of scientific instruments, phenotyping, and plant production while increasing resource use efficienc
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 3090026.35
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T00:21:03.701Z. This is not the publication date.