公开(公告)号：US20220120934A1

公开(公告)日：2022-04-21

申请号：US17567448

申请日：2022-01-03

Applicant: X Development LLC

Inventor： Hongxu Ma ,  Kunxiaojia Yuan ,  Fa Li ,  Charlotte Leroy ,  Grigory Bronevetsky

IPC: G01W1/10 ,  G06N20/00 ,  G01W1/02 ,  G01W1/14

Abstract: Implementations are described herein for predicting a future climate condition in an agricultural area. In various implementations, a teleconnection model may be applied to a dataset of remote climate conditions such as water surface temperatures to identify one or more of the most influential remote climate conditions on the future climate condition in the agricultural area. A trained machine learning model may be applied to the one or more most influential remote climate conditions and to historical climate data for the agricultural area to generate data indicative of the predicted future climate condition. Based on the data indicative of the predicted future climate condition, one or more output components may be caused to render output that conveys the predicted future climate condition.

公开(公告)号：US11243332B2

公开(公告)日：2022-02-08

申请号：US16911278

申请日：2020-06-24

Applicant: X Development LLC

Inventor： Hongxu Ma ,  Kunxiaojia Yuan ,  Fa Li ,  Charlotte Leroy ,  Grigory Bronevetsky

IPC: G01W1/10 ,  G06N20/00 ,  G01W1/14 ,  G01W1/02

Abstract: Implementations are described herein for predicting a future climate condition in an agricultural area. In various implementations, a teleconnection model may be applied to a dataset of remote climate conditions such as water surface temperatures to identify one or more of the most influential remote climate conditions on the future climate condition in the agricultural area. A trained machine learning model may be applied to the one or more most influential remote climate conditions and to historical climate data for the agricultural area to generate data indicative of the predicted future climate condition. Based on the data indicative of the predicted future climate condition, one or more output components may be caused to render output that conveys the predicted future climate condition.

公开(公告)号：US20210405252A1

公开(公告)日：2021-12-30

申请号：US16911278

申请日：2020-06-24

Applicant: X Development LLC

Inventor： Hongxu Ma ,  Kunxiaojia Yuan ,  Fa Li ,  Charlotte Leroy ,  Grigory Bronevetsky

IPC: G01W1/10 ,  G01W1/02 ,  G01W1/14 ,  G06N20/00

Abstract: Implementations are described herein for predicting a future climate condition in an agricultural area. In various implementations, a teleconnection model may be applied to a dataset of remote climate conditions such as water surface temperatures to identify one or more of the most influential remote climate conditions on the future climate condition in the agricultural area. A trained machine learning model may be applied to the one or more most influential remote climate conditions and to historical climate data for the agricultural area to generate data indicative of the predicted future climate condition. Based on the data indicative of the predicted future climate condition, one or more output components may be caused to render output that conveys the predicted future climate condition.