The Prairie Precision Sustainability Network (PPSN)
The Prairie Precision Sustainability Network (PPSN) is a newly formed collaboration between research teams at the University of Saskatchewan and the University of Calgary. By combining grower harvest data and satellite imagery we are building a model that will predict future yields on low production areas, by individual fields.
We are analyzing unproductive field zones over multiple years, accounting for variations in crop, weather, and markets. Our research will provide insights across thousands of fields and multiple years, leading to better-informed decisions and preparedness for future challenges.
If you meet the criteria to participate you will be eligible to receive a Marginal Area Map, and a Marginal Area Report from our Agricultural Economist outlining options for improving the profitability of your operation now and into the future.
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Follow the Data
Why Participate?
The data collected will be combined with satellite imagery to detect yield patterns and locate low production areas within your own fields for multiple years.
All participants are eligible to receive:
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A Marginal Areas Map of their fields
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A Marginal Area Report(s) from our Agricultural Economist outlining options for improving profitability within those marginal areas
This is your opportunity to contribute to future prosperity and sustainability within the grain farming industry!
The Participation Process
The Grower-Cooperator Liaison (Tamara or Andrea) works with the producer and/or their agronomist to collect raw yield data directly from the combine monitor, from the producer's stored files or through certain apps such as JD Operations Centre or Climate Field View.
There is a short, multiple choice questionnaire that can be completed over the phone with Andrea or Tamara, or it can be completed online by the producer themselves.
All participants sign a Permission to Use statement that outlines that the data is used for research purposes only, the data will be stored securely during the entire process and all participants will remain anonymous.
