Project description
Machine learning-based technology for resilient crop production
Frequent and intense extreme weather conditions resulting from climate change are threatening global food security and disrupting crop production at a local level. This has created an urgent need for plant breeders to develop climate-resilient and resource-efficient crops. Machine learning-based technologies hold promise in addressing these challenges and facilitating the production of stable and value added products. However, these technologies are still in the developmental stage and are not yet available for commercial use. To address this gap, the EU funded TRAIT4.0 project proposes xSeedScore, a revolutionary machine learning based technology that has the potential to enable the development of more climate-resilient crop varieties while also reducing land and water use and shortening the time to market.
Objective
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.
Fields of science
- natural sciencescomputer and information sciencesartificial intelligence
- medical and health sciencesmedical biotechnologygenetic engineering
- medical and health scienceshealth sciencesnutrition
- agricultural sciencesagriculture, forestry, and fisheriesagriculture
- natural sciencesearth and related environmental sciencesatmospheric sciencesclimatologyclimatic changes
Programme(s)
- HORIZON.3.1 - The European Innovation Council (EIC) Main Programme
Funding Scheme
EIC-ACC - EIC-ACCCoordinator
72072 Tubingen
Germany
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.