Researchers are exploring the use of multitask deep learning and other approaches to improve wheat yield and quality. Studies are examining various factors, including grain protein content, zinc and iron content, and climate resilience, with some focusing on specific regions such as the UK and China. The use of genomic prediction, selection, and multi-trait modeling is also being investigated to enhance wheat breeding and biofortification.