TRAIT4.0

A machine learning-based technology for developing climate-resilient crops.

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.