SubsidieMeestersTRansition to agriculture 4.0: increasing crop resiliency with Artificial Intelligence Technology
Computomics aims to revolutionize plant breeding for climate resilience and resource efficiency using its xSeedScore technology, targeting €18M turnover and 50 employees by 2026.
Projectdetails
Introduction
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.
Challenges for Plant Breeders
Therefore, plant breeders are under pressure to tackle climate resiliency and resource efficiency.
Potential of Machine Learning
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. However, these technologies are still under development and not commercially available.
Computomics' Innovation
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
- A competitive alternative to genetic modification
Future Goals
With the help of the EIC Accelerator, Computomics expects to reach by 2026 a turnover of €18M and 50 employees.
Financiële details & Tijdlijn
Financiële details
| Subsidiebedrag | € 2.447.812 |
| Totale projectbegroting | € 3.496.875 |
Tijdlijn
| Startdatum | 1-1-2023 |
| Einddatum | 31-12-2024 |
| Subsidiejaar | 2023 |
Partners & Locaties
Projectpartners
- COMPUTOMICS GMBHpenvoerder
Land(en)
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A new cardioprotective drug for acute treatment of myocardial infarction
ResoTher aims to validate RTP-026, an immunomodulating therapy, to reduce heart damage and HF risk post-myocardial infarction through Phase II clinical studies.
Clear, scalable and scientific framework to measure terrestrial biodiversity
3Bee leverages IoT, wildlife monitoring, and satellite data to measure and regenerate biodiversity, generating certified Biodiversity Credits for corporations to enhance ESG reporting and brand value.
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N-Spire aims to revolutionize agriculture by creating a sustainable bioactive fertilizer through innovative manufacturing techniques, enhancing soil health and reducing chemical dependency.
Quantum-based Randomness Processing Units (RPUs) for High-Performance Computation and Data Security
Quside's Randomness Processing Unit (RPU) accelerates stochastic HPC and PQ cryptography by optimizing random workloads, enhancing efficiency and performance across various sectors.
Vergelijkbare projecten uit andere regelingen
| Project | Regeling | Bedrag | Jaar | Actie |
|---|---|---|---|---|
3P-Tec - Three-parent breeding technology for plants of the futureThe project aims to develop a revolutionary three-parent breeding technology (3P-Tec) to create climate-resilient crops, enhancing yields and accelerating the commercialization of improved seed varieties. | EIC Transition | € 2.498.828 | 2022 | Details |
Next-generation multi-targeted CRISPR genetic toolbox uncovers hidden breeding traitsMulti-Crop technology utilizes genome-scale multi-targeted CRISPR libraries to uncover hidden genetic traits in crops, revolutionizing plant breeding for enhanced resilience and productivity. | ERC POC | € 150.000 | 2023 | Details |
In planta jet injection: Efficient genetic engineering of resilient cropsThe project aims to develop affordable, high-throughput devices for efficient genome editing in crops to enhance yield and climate resilience, addressing global food security challenges by 2100. | ERC POC | € 150.000 | 2023 | Details |
Resilient and environmentally sustainable engineered crops to address climate changeCrop4Clima aims to develop canola and rapeseed lines that enhance CO2 assimilation and resilience, improving productivity and sustainability to meet future agricultural demands amid climate change. | EIC Transition | € 2.475.562 | 2023 | Details |
3P-Tec - Three-parent breeding technology for plants of the future
The project aims to develop a revolutionary three-parent breeding technology (3P-Tec) to create climate-resilient crops, enhancing yields and accelerating the commercialization of improved seed varieties.
Next-generation multi-targeted CRISPR genetic toolbox uncovers hidden breeding traits
Multi-Crop technology utilizes genome-scale multi-targeted CRISPR libraries to uncover hidden genetic traits in crops, revolutionizing plant breeding for enhanced resilience and productivity.
In planta jet injection: Efficient genetic engineering of resilient crops
The project aims to develop affordable, high-throughput devices for efficient genome editing in crops to enhance yield and climate resilience, addressing global food security challenges by 2100.
Resilient and environmentally sustainable engineered crops to address climate change
Crop4Clima aims to develop canola and rapeseed lines that enhance CO2 assimilation and resilience, improving productivity and sustainability to meet future agricultural demands amid climate change.