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TRansition to agriculture 4.0: increasing crop resiliency with Artificial Intelligence Technology

CORDIS · observation · Publication date unknown

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 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

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recordType

award

status

CLOSED

region

EU

value

2447812

unit

EUR