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Pixels to Predictions: Unpacking Landscape Simulations

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Content provided by AgTech 360. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by AgTech 360 or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ro.player.fm/legal.

Dr. Chris Jones, a research scholar at NC State's Center for Geospatial Analytics shares insights on the use of landscape simulation models and their evolving role in agriculture. Learn how Chris creates models to track and predict pest and pathogen spread using tools like satellite imagery and survey data. By leveraging several data sources landscape modeling helps limit crop loss and improve resource allocation with more accurate predictive modeling.

  continue reading

48 episoade

Artwork
iconDistribuie
 
Manage episode 441773405 series 2836303
Content provided by AgTech 360. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by AgTech 360 or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ro.player.fm/legal.

Dr. Chris Jones, a research scholar at NC State's Center for Geospatial Analytics shares insights on the use of landscape simulation models and their evolving role in agriculture. Learn how Chris creates models to track and predict pest and pathogen spread using tools like satellite imagery and survey data. By leveraging several data sources landscape modeling helps limit crop loss and improve resource allocation with more accurate predictive modeling.

  continue reading

48 episoade

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