Lijuan L Xu, Age 871043 Kensington Dr, Fremont, CA 94539

Lijuan Xu Phones & Addresses

1043 Kensington Dr, Fremont, CA 94539 (510) 659-6361

Milpitas, CA

Hayward, CA

1043 Kensington Dr, Fremont, CA 94539

Work

Position: Precision Production Occupations

Mentions for Lijuan L Xu

Resumes & CV records

Resumes

Lijuan Xu Photo 19

Staff Data Scientist

Location:
San Francisco, CA
Industry:
Internet
Work:
Google
Staff Data Scientist
The Climate Corporation Nov 2016 - Feb 2017
Senior Staff Researcher
The Climate Corporation Mar 2016 - Feb 2017
Data Science Manager and Team Lead
The Climate Corporation Nov 2015 - Nov 2016
Staff Researcher
The Climate Corporation Jan 2014 - Oct 2015
Quantitative Researcher
University of Southern California Aug 2009 - Dec 2013
Research Assistant
The Climate Corporation May 2013 - Aug 2013
Quantitative Research Intern
University of Southern California 2010 - May 2013
Teaching Assistant
Tsinghua University Aug 2008 - Jul 2009
Undergraduate Research Assistant
Education:
University of Southern California 2009 - 2013
Doctorates, Doctor of Philosophy, Industrial Engineering
University of Southern California 2010 - 2011
Masters, Statistics
Tsinghua University 2005 - 2009
Bachelors, Industrial Engineering
Skills:
R, Statistical Modeling, Statistics, Matlab, Mathematical Modeling, Modeling, Machine Learning, Latex, C, C++, Java, Big Data Analytics, Optimization, Bayesian Networks, Programming, Predictive Modeling, Data Analysis, Leadership, Simulations, Python
Lijuan Xu Photo 20

Lijuan Xu

Lijuan Xu Photo 21

Lijuan Xu

Publications & IP owners

Us Patents

Method For Recommending Seeding Rate For Corn Seed Using Seed Type And Sowing Row Width

US Patent:
2023003, Feb 2, 2023
Filed:
Sep 19, 2022
Appl. No.:
17/948128
Inventors:
- San Francisco CA, US
Lijuan XU - Foster City CA, US
International Classification:
A01C 7/10
A01B 79/00
A01C 21/00
G06N 5/04
Abstract:
A computer system and computer-implemented techniques for determining and presenting improved seeding rate recommendations for planting seeds in a field are provided. In an embodiment, a computer-implemented method includes receiving digital data representing planting parameters including seed type information and planting row width, and retrieving a set of seeding models based upon the planting parameters, where each of the seeding models includes a regression model defining a relationship between plant yield and seeding rate on a specific field. The method also includes generating an empirical mixture model as a composite distribution of the set of seeding models, generating a seeding rate distribution for the planting parameters based upon the empirical mixture model, and calculating a seeding rate recommendation based on the seed rate distribution. The method then also includes planting plant seeds in the specific field consistent with the seeding rate recommendation.

Forecasting National Crop Yield During The Growing Season

US Patent:
2020018, Jun 11, 2020
Filed:
Feb 14, 2020
Appl. No.:
16/791918
Inventors:
- San Francisco CA, US
Lijuan Xu - Foster City CA, US
International Classification:
G01V 99/00
G01N 33/24
G01W 1/10
G06Q 10/04
G01N 33/00
G01N 21/359
Abstract:
A method for determining national crop yields during the growing season is provided. In an embodiment, a server computer system receives agricultural data records for a particular year that represent covariate data values related to plants at a specific geo-location at a specific time. The system aggregates the records to create geo-specific time series for a geo-location over a specified time. The system creates aggregated time series from a subset of the geo-specific time series. The system selects a representative feature from the aggregated time series and creates a covariate matrix for each specific geographic area in computer memory. The system determines a specific state crop yield for a specific year using linear regression to calculate the specific state crop yield from the covariate matrix. The system determines a national crop yield for the specific year using the sum of the state crop yields for the specific year nationally adjusted.

Forecasting National Crop Yield During The Growing Season

US Patent:
2016029, Oct 6, 2016
Filed:
Apr 1, 2015
Appl. No.:
14/675992
Inventors:
- San Francisco CA, US
Lijuan Xu - Foster City CA, US
International Classification:
G01N 21/359
G01N 33/00
Abstract:
A method for determining national crop yields during the growing season using regional agricultural data is provided. In an embodiment, determining national crop yields during the growing season may be accomplished using a server computer system that receives, via a network, agricultural data records that are used to forecast a national crop yield for a particular year. Within the server computer system an agricultural time series module receives one or more agricultural data records that represent a type of covariate data value related to plants at a specific geo-location at a specific time. The agricultural time series module then aggregates the agricultural data records to create one or more geo-specific time series that represent a specific geo-location over a specified time. The agricultural time series module creates one or more aggregated time series that represent geographic areas from a subset of the one or more geo-specific time series. A crop yield estimating module selects a representative feature from the one or more aggregated time series and creates a covariate matrix for each specific geographic area in computer memory of the server computer system. The crop yield estimating module determines a specific state crop yield for a specific year by using a linear regression module to calculate the specific state crop yield from the covariate matrix that represents the specific state for that specific year. The crop estimation module determines a national crop yield for the specific year by using the distribution generation module to calculate the national crop yield for a specific year from the sum of the specific state crop yields for the specific year nationally adjusted using a national yield adjustment module.

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