Project description
Harnessing photosynthesis dynamics for tailored illumination of cultivated plants
Photosynthesising plants use light energy to produce oxygen and organic compounds from water and CO2. Cultivation must therefore provide the appropriate amounts of light and water. Inefficiencies impact plant health and productivity as well as energy consumed. Given that plant cultivation is under increasing pressure due to climate change and population growth, dynamic regulation of photosynthesis is an important route to sustainable agriculture that meets global needs. The EU-funded DREAM project is developing pioneering instrumentation and data acquisition protocols for selective sensing of the dynamics of photosynthesis regulation under various conditions. Knowledge acquired will inform a powerful dynamical model to enable tailored modulated illumination that enhances lighting efficiency.
Objective
Cultivation of plants consumes huge resources of water for irrigation and energy for lighting. Introducing disruptive technologies is key to improve plants and enable their parsimonious cultivation.
DREAM overtakes these challenges by gathering an interdisciplinary consortium sharing a same radical vision: to measure and exploit the dynamics of photosynthesis regulation under natural-like light conditions for selective sensing – monitoring the plant state – and enhancing lighting efficiency in controlled environments.
We develop ground-breaking instruments and acquisition protocols unraveling unprecedented kinetic data from microalgae and plants (including tomato as a crop species) by using novel periodically modulated or randomly fluctuating 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 efficiency so as to improve environmental quality and offer better and safer products to consumers.
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HORIZON-EIC - HORIZON EIC GrantsCoordinator
75794 Paris
France