公开(公告)号：US20220155298A1

公开(公告)日：2022-05-19

申请号：US17441240

申请日：2020-03-23

Applicant: BASF SE

Inventor： Monika HEILMANN ,  Pilar PUENTE ,  Oliver THIMM ,  Iain PROCTOR ,  Girish SRINIVAS

IPC: G01N33/569 ,  G16B20/00 ,  G16B40/20 ,  G16B50/10

Abstract: The invention relates to a method for predicting yield performance of a crop plant, comprising the steps of receiving metabolite measurements of the crop plant; determining new metabolite features by combining the received metabolite measurements, wherein at least one new metabolite feature is based on a classified average; providing the new metabolite features to a trained machine learning model; and determining yield performance of the crop plant using the provided model. It also relates to a method for training a machine learning model for predicting yield performance of a crop plant; a control unit configured to execute the method for predicting yield performance; to a plant breeding method and a farming method that apply said method; and the use of new metabolite features as determined in said method for prediction of yield performance.