Project description
AI-based services for phenotyping in agriculture
Agroecosystems in Europe need an agroecological transition to ensure sustainable food production, resilience to climate change, biodiversity, and soil restoration. The EU-funded PHENET project will bring together the European Research Infrastructures on plant phenotyping (EMPHASIS), ecosystems experimentation (AnaEE), long-term observation (eLTER), and data management and bioinformatics (ELIXIR) to co-develop new tools and methods for the identification of future-proofed combinations of species, genotypes, and management practices. The project will deliver services enabling access to enlarged sources of in situ phenotypic and environmental data thanks to new AI-based multi-trait and multi sensor devices, unleashed access to high-resolution Earth observation data, FAIR data support, and a new generation of predictive modelling AI and digital twins solutions.
Objective
Europe urgently needs to find pathways towards agroecological transition of agroecosystems in support to food security, climate change resilience, biodiversity and soil carbon stocks restoration. In PHENET, the European Research Infrastructures (RI) on plant phenotyping (EMPHASIS), ecosystems experimentation (AnaEE), long-term observation (eLTER) and data management and bioinformatics (ELIXIR) will join their forces to co-develop, with a diversity of innovative companies, new tools and methods - meant to contribute to new RI services - for the identification of future-proofed combinations of species, genotypes and management practices in front of the most likely climatic scenarios across Europe. Ambitioning to go beyond current highly instrumented but often spatially and temporally limited RI installations, PHENET derived services will allow wide access to enlarged sources of in-situ phenotypic and environmental data thanks to (i) new AI-based multi (agroecology-related) traits multi-sensors devices (ii) to unleashed access to high resolution Earth Observation data connected to ground based data, (iii) FAIR data support for connection with (iv) new generation of predictive modeling solutions encompassing AI and digital twins. Developments will be challenged by and implemented in a series of eight Use Cases covering a large range of agroecosystems but also of ecosystems to demonstrate portability of solutions. Several of these Use Cases will mobilize on-farm data. A large effort will be devoted to training RI staff and beyond through a sustained collection of training material fed by experts. Outreaching activities will aim at enlarging the range of RI users. PHENET will not only strengthen RI but will also have major impact on the development of innovative companies on phenotyping, envirotyping and precision agriculture as well as on the emergence of climate smart crop varieties and innovative practices fitted to climate change and agroecological transition.
Fields of science
- medical and health scienceshealth sciencesnutrition
- natural sciencesbiological sciencesecologyecosystems
- agricultural sciencesagriculture, forestry, and fisheriesagriculture
- natural sciencesearth and related environmental sciencesatmospheric sciencesclimatologyclimatic changes
- social scienceseconomics and businessbusiness and management
Keywords
Programme(s)
Funding Scheme
HORIZON-RIA - HORIZON Research and Innovation ActionsCoordinator
75007 Paris
France
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Participants (27)
1348 Louvain La Neuve
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52428 Julich
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5030 Gembloux
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1180 Wien
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39051 Vadena
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75013 PARIS
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6708 PB Wageningen
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49035 Angers Cedex 01
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49071 Beaucouze
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53113 Bonn
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04318 Leipzig
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84140 Avignon
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
751 05 Uppsala
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31133 Balma
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1099 085 Lisboa
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13284 Marseille
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Legal entity other than a subcontractor which is affiliated or legally linked to a participant. The entity carries out work under the conditions laid down in the Grant Agreement, supplies goods or provides services for the action, but did not sign the Grant Agreement. A third party abides by the rules applicable to its related participant under the Grant Agreement with regard to eligibility of costs and control of expenditure.
13007 Marseille
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Legal entity other than a subcontractor which is affiliated or legally linked to a participant. The entity carries out work under the conditions laid down in the Grant Agreement, supplies goods or provides services for the action, but did not sign the Grant Agreement. A third party abides by the rules applicable to its related participant under the Grant Agreement with regard to eligibility of costs and control of expenditure.
75794 Paris
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1360 Perwez
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
3500 Hasselt
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4099-002 Porto
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1098 XG Amsterdam
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75016 Paris
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6708 PB Wageningen
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08140 Caldes De Montbui Barcelona
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3001 Leuven Heverlee
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
91190 Gif Sur Yvette
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Partners (3)
Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
3003 Bern
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
8092 Zuerich
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
44311 Akron
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