公开(公告)号：US20160316759A1

公开(公告)日：2016-11-03

申请号：US15105249

申请日：2014-12-19

申请人： BASF SE

发明人： Jeremy BOUGOURE ,  Richard FLAVEL ,  Alban GLASER ,  Harald KOEHLE ,  David MAINWARING ,  Tina MARK ,  Falko MATHES ,  Daniel MURPHY ,  Pandiyan MURUGARAJ ,  Jeremy David PEARCE ,  Geetha PERERA ,  Pilar PUENTE ,  Angel RODRIGUEZ-TELLO ,  Peter RYAN ,  Jorge SANZ-GOMEZ ,  Stephan SAUM ,  Markus SCHMID ,  Michael SEUFERT ,  Vi Khanh TRUONG ,  Michelle WATT ,  Alexander WISSEMEIER

IPC分类号： A01N63/00 ,  A01N63/04 ,  C05G3/04 ,  C09K17/32 ,  C09K17/18 ,  C05G3/02 ,  A01N63/02 ,  A01N25/10

CPC分类号： A01N63/00 ,  A01N25/10 ,  A01N25/34 ,  A01N63/02 ,  A01N63/04 ,  C05G3/0047 ,  C05G3/02 ,  C05G3/04 ,  C09K17/18 ,  C09K17/32 ,  C09K17/40 ,  A01N65/00 ,  A01N2300/00

摘要： A mixture or kit-of-parts comprising a superabsorbent polymer (hereinafter referred to as “SAP” or “SAPs”) and a biopesticide, their application in agriculture, or the method for conducting the combined application of SAP and biopesticide in agriculture.

摘要翻译： 包含超吸收性聚合物（以下称为“SAP”或“SAP”）和生物农药的混合物或成套工具，其在农业中的应用或在农业中联合应用SAP和生物农药的方法。

公开(公告)号：US20220155298A1

公开(公告)日：2022-05-19

申请号：US17441240

申请日：2020-03-23

申请人： BASF SE

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

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

摘要： 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.