TRAIT4.0
Financiado
TRansition to agriculture 4.0: increasing crop resiliency with Artificial Intell...
TRansition to agriculture 4.0: increasing crop resiliency with Artificial Intelligence Technology
Global food security challenges, due to exposure to more frequent and intense climate extremes, are threatening to erode and reverse gains made in ending hunger and malnutrition globally, and to shake the foundations of crop produ...
Global food security challenges, due to exposure to more frequent and intense climate extremes, are threatening to erode and reverse gains made in ending hunger and malnutrition globally, and to shake the foundations of crop production locally. Therefore, plant breeders are under pressure to tackle climate resiliency and resource efficiency. Machine learning-based technologies have the potential to address these challenges and enable breeders to produce stable, value-added products, which contribute to resource-efficient agriculture that can feed the world, but are so far still under development and not commercially available. Computomics has developed xSeedScore, the first disruptive machine learning-based technology enabling more climate-resilient varieties, decreased land and water use, reduced time-to-market and a competitive alternative to genetic modification. With help of the EIC Accelerator, Computomics expects to reach by 2026 a turnover of €18M and 50 employees.
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Duración del proyecto: 25 meses
Fecha Inicio: 2022-11-17
Fecha Fin: 2024-12-31
Fecha Fin: 2024-12-31
Línea de financiación: concedida
El organismo HORIZON EUROPE notifico la concesión del proyecto el día 2022-11-17
Línea de financiación objetivo
El proyecto se financió a través de la siguiente ayuda:
HORIZON-EIC-2022-ACCELERATOROPEN-01:
EIC Accelerator Open
Cerrada
hace 1 año
Presupuesto
El presupuesto total del proyecto asciende a
3M€
Líder del proyecto
COMPUTOMICS GMBH
No se ha especificado una descripción o un objeto social para esta compañía.
Perfil tecnológico
TRL
4-5
Perfil tecnológico
TRL
4-5