Application of deep learning in crop research: From genomics to phenomics.

Abstract excerpt

Deep learning, as a pivotal branch of machine learning, has demonstrated remarkable potential in advancing crop science by effectively integrating genomics and phenomics. This review systematically outlines the application of diverse deep learning architectures-such as convolutional neural networks, recurrent neural networks, and transformers-across key crop genomic tasks, including gene expression prediction,...

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