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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... see more

31/12/2024

COMPUTOMICS GMBH

3M€

Project Budget: 3M€

Project leader

COMPUTOMICS GMBH No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

PARTICIPATION DEPralty Sin fecha límite de participación.

Financing granted El organismo HORIZON EUROPE notifico la concesión del proyecto The day 2024-12-31

HORIZON-EIC-2022-ACCELERATORCHALLENGES-02: EIC Accelerator Challenge: Technolo... Scope:EIC Accelerator Challenge: Technologies for ‘Fit for 55’

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Este proyecto no cuenta con búsquedas de partenariado abiertas en este momento.

Private Information

No hay información privada compartida para este proyecto. Habla con el coordinador.

1 Participantes

COMPUTOMICS GMBH

2.45M€ | Leader

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Project duration: 25 months Date Start: 2022-11-17
End date: 2024-12-31

Project leader

COMPUTOMICS GMBH No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Project Budget 3M€

participation deadline Sin fecha límite de participación.

Project description 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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