AI-assisted crop improvement: new design tools within established regulatory frameworks
This Perspective examines the regulatory implications of AI-assisted crop improvement, using illustrative examples where deep learning models have been integrated for protein sequence and structure prediction, and the optimization or design of proteins for improved or novel functionalities.
F. Keiper, M. Sanches da Rocha, D. Beeckman et al.
· Frontiers in Plant Science · 0 citations