We know the chemistry of trees and the protein folding to about 95%, and AI can do comparative systematics of close species like pears and apples, perhaps one for the future.;)

Quote from plant breeder: The main requirement for using DL is the quality and sufficiently large training data. Despite difficulties, there are clear evidences that DL algorithms capture nonlinear patterns more efficiently than conventional genome based. Deep learning algorithms are able to integrate data from different sources as is usually needed in GS assisted breeding and it shows the ability for improving prediction accuracy for large plant breeding data. It is important to apply DL to large training-testing data sets.