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Brandon J Rinkenberger

age ~49

from Wildwood, MO

Also known as:
  • Brandon I Rinkenberger
  • Brandon J Rinkerberger

Brandon Rinkenberger Phones & Addresses

  • Wildwood, MO
  • 3916 Lay Ln, Bloomington, IL 61705
  • Goodfield, IL
  • 417 Deerfield Dr, Oswego, IL 60543
  • Gilbert, AZ
  • Morton, IL
  • Urbana, IL
  • Naperville, IL

Us Patents

  • Digital Modeling And Tracking Of Agricultural Fields For Implementing Agricultural Field Trials

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  • US Patent:
    20200272971, Aug 27, 2020
  • Filed:
    Feb 21, 2020
  • Appl. No.:
    16/798002
  • Inventors:
    - San Francisco CA, US
    Jason Kendrick Bull - Wildwood MO, US
    Nicholas Charles Cizek - Stanford CA, US
    Brandon Rinkenberger - Chesterfield MO, US
    Doug Sauder - Livermore CA, US
    Aaron E. Robinson - San Francisco CA, US
    Timothy Reich - Ballwin MO, US
    Hunter Merrill - St. Louis MO, US
    Allan Trapp - St. Louis MO, US
    Morrison Jacobs - San Francisco CA, US
    Tonya Ehlmann - St. Peters MO, US
    Daniel Williams - Sacramento CA, US
    Christina Bogdan - San Francisco CA, US
    Moslem Ladoni - Dublin CA, US
  • International Classification:
    G06Q 10/06
    G06Q 50/02
  • Abstract:
    A system for implementing a trial in one or more fields is provided. In an embodiment, an agricultural intelligence computing system receives field data for a plurality of agricultural fields. Based, at least in part, on the field data for the plurality of agricultural fields, the agricultural intelligence computing system identifies one or more target agricultural fields. The agricultural intelligence computing system sends, to a field manager computing device associated with the one or more target agricultural fields, a trial participation request. The server receives data indicating acceptance of the trial participation request from the field manager computing device. The server determines one or more locations on the one or more target agricultural fields for implementing a trial and sends data identifying the one or more locations to the field manager computing device. When the agricultural intelligence computing system receives application data for the one or more target agricultural fields, the agricultural intelligence computing system determines whether the one or more target agricultural fields are in compliance with the trial. The agricultural intelligence computing system then receives result data for the trial and, based on the result data, computes a benefit value for the trial.
  • Digital Modeling And Tracking Of Agricultural Fields For Implementing Agricultural Field Trials

    view source
  • US Patent:
    20190057461, Feb 21, 2019
  • Filed:
    Aug 21, 2018
  • Appl. No.:
    16/108002
  • Inventors:
    - San Francisco CA, US
    Jason Kendrick Bull - Wildwood MO, US
    Nicholas Charles Cizek - Stanford CA, US
    Brandon Rinkenberger - Chesterfield MO, US
    Doug Sauder - Livermore CA, US
  • International Classification:
    G06Q 50/02
    G06N 7/00
    G06Q 10/06
  • Abstract:
    A system for implementing a trial in one or more fields is provided. In an embodiment, a agricultural intelligence computing system receives field data for a plurality of agricultural fields. Based, at least in part, on the field data for the plurality of agricultural fields, the agricultural intelligence computing system identifies one or more target agricultural fields. The agricultural intelligence computing system sends, to a field manager computing device associated with the one or more target agricultural fields, a trial participation request. The server receives data indicating acceptance of the trial participation request from the field manager computing device. The server determines one or more locations on the one or more target agricultural fields for implementing a trial and sends data identifying the one or more locations to the field manager computing device. When the agricultural intelligence computing system receives application data for the one or more target agricultural fields, the agricultural intelligence computing system determines whether the one or more target agricultural fields are in compliance with the trial. The agricultural intelligence computing system then receives result data for the trial and, based on the result data, computes a benefit value for the trial.

Resumes

Brandon Rinkenberger Photo 1

Device Management Systems Engineer

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Location:
Chesterfield, MO
Industry:
Information Technology And Services
Work:
University Information Technology Services
Device Management Systems Engineer

University Information Technology Services
Business Analyst

University Information Technology Services
Workplace Automation Analyst

Center For Evaluation and Education Policy Oct 2009 - Aug 2013
Knowledge Specialist

Center For Evaluation and Education Policy Mar 2002 - Oct 2009
Project Associate
Education:
Indiana University Bloomington 2007 - 2009
Masters, Master of International Studies, Information Science
Indiana University Bloomington 1995 - 2001
Bachelors, Music, Teacher Education
Skills:
System Center Configuration Manager
Technical Documentation
User Documentation
Sharepoint
Knowledgelake
Nintex
Systems Analysis
Business Intelligence
Data Analysis
Knowledge Management
Survey Design
Project Management
Data Management
Information Architecture
It Hardware Support
Survey Management
Survey Methodology
Brandon Rinkenberger Photo 2

Senior Director, Global Digital Strategy Lead

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Location:
11 Chloe Ct, Bloomington, IL 61704
Industry:
Farming
Work:
Precision Planting since Jul 2011
Director of US Sales

Watershed Foods LLC - Gridley, IL Feb 2009 - Jul 2011
Vice President of Sales & Marketing/General Manager

Caterpillar Inc. May 2006 - Jan 2009
6-Sigma Black Belt

Caterpillar Inc. Jun 2003 - Apr 2006
Sales Operations Representative

Caterpillar Inc. Apr 2002 - May 2003
Machine Sales Representative
Education:
Bradley University 2002
Masters in Business Administration, Finance
University of Illinois at Urbana-Champaign - College of Business 1999
Bachelor of Science in Business Administration, Marketing
Skills:
Sales
Strategic Planning
Sales Management
Sales Operations
Product Development
New Business Development
Marketing
Customer Service
Team Building
Leadership
Process Improvement
Budgets
Management
Business Strategy
Marketing Strategy
Public Speaking
Product Marketing
Product Management
Manufacturing
Competitive Analysis
Business Development
Forecasting
Negotiation
Project Management
Team Leadership
Business Planning
Account Management
Six Sigma
Cross Functional Team Leadership
Pricing
Inventory Management
Strategy
Contract Negotiation
Operations Management
Start Ups
P&L Management
Supply Chain
Market Research
Market Planning
Direct Sales
Supply Chain Management
Purchasing
Key Account Management
Program Management
International Sales
Budgeting
Languages:
English

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