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2016 Precision Ag Workshops: Get More Value From Your Data

Learn how to extract more information from your precision agriculture data at the 2016 Nebraska Extension Precision Ag Data Management workshops this January.  Presentations and hands-on exercises will cover

  • yield data quality,
  • geospatial data collection,
  • multi-layer analysis, and
  • imagery analysis.

Two all-day workshops will be held at each of the four sites — Mead, Norfolk, Clay Center, and Gothenburg. The first day, Session One, will address intermediate ag data management topics, while the second day, Session Two, will address more advanced ag data management. Individuals can register for one or both days. Cost is $75 for one day or $130 for both. Registration includes printed learning guides, a jump drive with workshop tutorials attendees can reference at home, and data.

Schedule

Workshops begin with check-in at 8:30 a.m. and sessions from 9 a.m. to 4:30 p.m.

  • Mead, Jan. 18-19 – Christenson Bldg., UNL Agricultural Research and Development Center (ARDC)
  • Norfolk, Jan. 25-26 – Northeast Community College Lifelong Learning Center
  • Clay Center, Feb. 15-16 – Clay County Fairgrounds
  • Gothenburg, Feb. 29-March 1 – Monsanto Learning Center
     

Session One, Intermediate Ag Data Management Topics

  • Working with as-applied data, tracking product locations and rates
  • Creating templates to speed up the data import process
  • Terrain analysis diagnostic opportunities and working with LiDAR data
  • Georeferenced soil sample data input and prescription map development options
  • Setting up on farm research trials with precision ag data - case study from Project SENSE: Crop Canopy Sensors for In-Season Nitrogen Management

precision agriculture sample data output and table


 

 

 

 

 

Session Two, Advanced Ag Data Managment

  • Generating maps from georeferenced soil samples:  Map interpolation strategies
  • Improving Yield Monitor Data Accuracy with Yield Editor Software from USDA
  • Multi-layer geospatial analysis to determine hybrid performance across changing landscapes
  • Imagery analysis using data from active and passive sensors

Source:unl.edu
 


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