Decagon Devices Dielectric Leaf Wetness Sensor Podręcznik właściciela/operatora - Strona 12
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4 INTERPRETING DATA
cause the dry output to rise. We recommend that the sensor be
cleaned using a moist cloth periodically, or when you detect elevated
dry output.
4.1
Understanding Data from the Em50
With Decagon's Em50 and Em50R data loggers, users have multi-
ple options for interpreting data. The sensors are factory calibrated
to read 445 raw counts when dry. When you configure an Em50 or
Em50R port to read a leaf wetness sensor, the logger reads the sen-
sor every minute and compares the data to two pre-defined wetness
thresholds of 450 and 460 raw counts. When you collect the data
from the logger with ECH2O Utility there are several options for the
format of the data output.
4.1.1
Processed Data File
Processed Excel File
When a precessed data file format is selected, three columns of data
are output for each LWS port.
Column 1: The number of minutes that the LWS output was over
450 raw counts in the preceding wake interval. So, if you shoose a 30
minute wake interval then the number can range from 0 (the sensor
was never wet during the 30 minute period) to 30 (the sensor was
always wet during that 30 minute period). Take the sum of these
numbers in this column to yield the cumulative wetness duration -
minutes - during the time period of interest.
Column 2: The number of minutes that the LWS output was over
460 raw counts in the preceding wake interval. The data in this
column follow the same format as those in column 1, only with the
wetness threshold set slightly higher. Field tests for the LWS indi-
cate the extreme dust buildup or bird droppings can cause the dry
output of the sensor to climb above the 450 raw count threshold. If
this occurs, the data in column 2 can be used until the sensor can be
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