Artificial Intelligence revolutionizing plant biotechnology research: current breakthroughs and future outlooks
This review highlights recent advances in AI-driven plant selection and taxonomic identification, genome mining of biosynthetic gene clusters, machine learning-based dereplication, structural elucidation, and bioactivity prediction of phytochemicals, and discusses the emerging role of AI in optimizing in vitro plant ti...