Abstract: A method for automatic evaluation of an artificial intelligence (AI) model is presented. The method can include receiving, at a computer system comprising a processor and a memory storing instructions executable by the processor, a pretrained AI model, an input dataset, and an expected predictions dataset, wherein the expected predictions dataset comprises expected results of the pretrained AI model based on the input dataset. The method can include generating an actual predictions dataset using the pretrained AI model by providing, by the processor, the input dataset as input to the pretrained AI model and receiving, at the computer system, as output from the pretrained AI model a plurality of predictions based on the input dataset. The method can include calculating, by the processor, a plurality of algorithmic metrics based on the expected predictions dataset and the actual predictions dataset.

Abstract: Compounds which are trehalose-6-phosphate or trehalose-6-phosphonate precursors of formula (I) or agriculturally acceptable salts thereof are provided: (I) The compounds are useful in increasing starch production in plants.

Abstract: Compounds which are trehalose-6-phosphate or trehalose-6-phosphonate precursors of formula (I) or agriculturally acceptable salts thereof are provided: (I) The compounds are useful in increasing starch production in plants.