Uploaded on Jan 21, 2011
An example of using Decagon's new DataTrac 3 for irrigation scheduling in an orchard.
Lots of soil moisture data. It's exactly what you wanted. But how can you interpret it—quickly and meaningfully? DataTrac 3 transforms endless columns and rows of raw data into meaningful, easily-interpreted graphs.
Explore trends and relationships in real time. You can adjust date ranges, add or subtract data from specific sensors, and change target bands to illustrate and explore your findings.
Use Data Trac's Growing Tools to combine data streams and track meaningful indicators.
For example, plot vapor pressure deficit instead of just temperature and humidity. Or track growing degree days, plant available water, pore water EC (are there many more?)
COMPLETE THE PICTURE
Use the "virtual sensor" tool to add information you wish you had. For
example, you can measure precipitation on just one logger and make that data stream a "virtual sensor" on every logger at that site.
Automatically collect data from your Em50G and Em50R loggers. All data—including manually collected data--will be automatically organized and added to your files chronologically.
Watch your data in real time. Data Trac 3 updates automatically while it's
running and every time it starts up.
Add notes and ideas to the data stream. Comments and reminders can help you make sense of a growing season's worth of data later.
Educate and inform your team efficiently. Data Trac 3's graphics reduce the time and expertise needed to understand soil moisture data.
With this much data, you can spend enormous amounts of time scrolling through looking for answers. Data Trac 3 lets you explore your data graphically and discover quicker answers and unexpected insights.
Go to www.decagon.com to learn more.
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