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How to Interpret Soil Moisture Data - Part 2
Mar. 30, 2023•0 likes•38 views
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How do you explain deviations from expected soil moisture data patterns? To get the most out of your soil moisture sensor network, you need to know how to decipher anomalies within each dataset. Accurate attribution of each change within your data is crucial to ensuring your results are thorough and accurate. In this 40-minute webinar, METER research scientist Dr. Colin Campbell discusses how to understand what your data is trying to tell you.
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How to Interpret Soil Moisture Data - Part 2
- 0 0.1 0.2 0.3 0.4 0.5 0.6 2/19/20 2/29/20 3/10/20 3/20/20 3/30/20 4/9/20 4/19/20 4/29/20 VWC (m3/m3) time 5 cm 5 cm - air gap 5 cm - no air gap
- 0 0.1 0.2 0.3 0.4 0.5 0.6 2/19/20 2/29/20 3/10/20 3/20/20 3/30/20 4/9/20 4/19/20 4/29/20 VWC (m3/m3) time 10 cm 10 cm - air gap 10 cm - no air gap
- 0 0.1 0.2 0.3 0.4 0.5 0.6 2/19/20 2/29/20 3/10/20 3/20/20 3/30/20 4/9/20 4/19/20 4/29/20 VWC (m3/m3) time 20 cm 20 cm - air gap 20 cm - no air gap
- Optimal Stressed Wilting
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