The changing climate and increasing human population mean that we need to accelerate the production of improved crop varieties. Advances in genomics and phenomics are helping to accelerate crop improvement, but the quantity and diversity of data being generated is vast and needs new methods for integrated analysis. Artificial intelligence (AI) approaches provide one solution to this analysis challenge.

This webinar will provide an overview on recent advances in pangenomics and application of machine learning and deep learning for crop genomic and phenomic data analysis