公开(公告)号：US20220301080A1

公开(公告)日：2022-09-22

申请号：US17698672

申请日：2022-03-18

Applicant: Climate LLC

Inventor： Rosa Maria CATALA LUQUE ,  Jennifer HOLT ,  Kevin WIERMAN ,  Timothy Tao Hin LAW ,  Gardar JOHANNESSON ,  Julien VARENNES

IPC: G06Q50/02 ,  G06N3/04

Abstract: The present disclosure relates generally to agronomic modeling, and more specifically to determining uncertainty associated with agronomic predictions (e.g., agricultural yield of a field). An exemplary method comprises: receiving information associated with a location; providing the information to one or more trained machine-learning models; determining, based on the trained machine-learning models: a probabilistic distribution of the predicted crop yield of the location, wherein the probabilistic distribution is defined by a plurality of parameters; and an uncertainty measure associated with a moment of the probabilistic distribution of the predicted crop yield.