Improving predictions for 'tailor-made' wheat with AI and big data‎

Climate change and evolving growing conditions present new challenges for breeding. It is important to take local environmental conditions into account. An international team led by the IPK Leibniz Institute of Plant Genetics and Crop Plant Research has used AI and big data to develop a method of determining which winter wheat varieties are best suited to specific locations. The study's results have been published in the journal Genome Biology.