Deep learning in plant science: A mini-review

Abstract

The role that deep learning plays in modern life is undeniably essential. It is also certain that deep learning, with its various approaches, is contributing significantly to plant science. Whether by explaining the acquired data or converting and refining these data to a more profound level, deep learning techniques are pushing the frontiers of plant research further than ever before. This study is an attempt to shed light on recent advances and applications of deep learning in plant science. These applications were systematically reviewed at omics, micro/macroscopic, and population levels. Future aspects were also discussed to some extent.