• Feb 01, 2016

R7® Field Monitoring

I have found the R7® Field Monitoring tool to be a great resource when observing multiple fields of the same crop, across a broad area. It points out which fields are performing better and which need attention, compared to other fields enrolled in the program. The high-frequency satellite snapshots are unique and allow users to check in-season conditions. They can also compare current conditions against archived records to help diagnose problems and recommend appropriate treatments.
 
The historical data is particularly useful — the tool shows up to five years of history, based on vegetation index score (VI), which is a good indicator of high- and low-performing fields. I find it works well to stack notable years on top of each other so growers can manage fields taking into account current performance to gain maximum ROI on a field-to-field basis. The field monitoring tool’s regional weather information, both current and five-year history, allows for comparison of weather influences on a field’s performance. 
 
Working hand in hand with the R7® Tool, the Field Monitoring tool calculates changes from the last image collected to the most recent, providing users with high-level insights. While more granular imagery from the R7® Tool allows for ground-level observations to assist in management decisions. 
   
The only drawback I’ve found is that, while the app is programmed to take frequent satellite images, there can sometimes be a lag in available imagery due to cloud cover. This will improve over time as algorithms improve. Currently, extrapolated data can be removed to show only measured readings to prevent incorrect interpretation of field performance.
 
The Bottom Line
The R7® Field Monitoring tool’s ability to track one crop over multiple fields, and simultaneously compare field conditions with historical records, makes the tool a turnkey solution to in-season crop management for agronomists and growers.   

 

The R7® Field Monitoring tool’s ability to track one crop over multiple fields, and simultaneously compare field conditions with historical records.



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