Ag Leader SMS Basic and Advanced Manual User Manual

Page 120

Advertising
background image

SMS Basic and Advanced Manual

3.

Select the Add Simple Analysis selection.

4.

The Select Analysis Operation dialog will now appear. This dialog provides the list of simple analysis
functions that can be applied to a dataset. The current options are Filter Data, Normalize Data, and Scale
Data. The following is a brief explanation of each of these selections:

Filter Data-Allows the entry of minimum and maximum values for a selected attribute to filter out
values that do not fall with in the specified range. This is very useful for imported data that has not
had any filtering applied to it.

Normalize Data-Creates a new normalized attribute for each attribute that has been selected to be
normalized. The original attributes values are re-scaled based on which normalization method you
select. This is useful when trying to compare data across years for the same field but different
crops were grown each year with varying yield ranges that don’t compare in their base form.

Optimize Swath Widths-Allows the automatic adjustment of the swath width for each logged point
in a dataset so that there is not any overlap with other logged points. Attribute values that are per
area are also adjusted to the new swath width value. This useful when you overlapped passes
while harvesting, planting, and were actually only working a smaller swath but did not or could not
adjust the swath to the proper working width at the time.

Reassign Attribute Values - Allows the reassignment of values in a dataset to new or different
values. This would be commonly used to adjust the target rates in a variable rate prescription that
needed to be adjusted. Specific values or a range of values can be reassigned, including a
combination of both.

Scale Data-Allows the entry of a scale factor that will be applied to selected attributes. This is
most useful when you have import data that requires scaling to correspond with other data you
already have or you have data that has a known constant error that can be factored out using a
scale factor.

5.

Once you have decided on a simple analysis function to apply to the data, select it and then click the OK
button.

6.

An attribute(s) selection dialog will now appear. Select the attribute(s) that you would like the simple analysis
function applied to. Once you have made your selection(s) click the NEXT> or FINISH button if the Optimize
Swath Widths was selected.

7.

If Filter Data or Scale Data were selected you will now be prompted with a value entry dialog. For Filter Data
you will be required to enter the Minimum Value and click the NEXT> button and then be prompted for the
Maximum Value and then click FINISH to apply the filters. For Scale Data you enter the Scale Factor Value,
a value greater than 0 with 1 equaling 100%, and then clicking the FINISH button to apply the scale factor. If
Normalize Data was selected then you will be prompted to select a normalization method to use, click the
FINISH button once you have made your choice.

8.

The selected dataset(s) will now be processed with the selected simple analysis function.

9.

Once finished the dataset(s) that had a simple analysis function applied to them will now have a summation
icon displayed next to them indicating that they have had a simple analysis function applied to them. The
Summary will also change to reflect the function that was applied. Note: Simple analysis functions are
applied to the spatial data for a dataset and not the monitor summary. The displayed values are adjusted for
the spatial summary data only.

10. You can repeat the steps above to add multiple simple analysis functions to a dataset to arrive a desired

result. Make sure to apply the simple analysis functions in the order that you want them to apply, such as a
Filter function before a scale function so that low values don’t get scaled above your minimum value for
example.

Or

Follow these steps to add a simple analysis function to multiple datasets in a batch process:

1.

Go to the Tools menu and select Batch Command Utility.

2.

Now select the Add Simple Analysis batch command and then the simple analysis function that you would
like applied in batch, i.e. Scale Data.

3.

You will now be prompted to set the data filters to select the management items/datasets to apply the
selected function to. Once you have set the desired filters click Next>.

4.

The edit Data Filter Results dialog should now appear. You can remove datasets that you do not want the
analysis applied to or continue on with all the datasets shown in the results by clicking Finish.

5.

An attribute(s) selection dialog will now appear. Select the attribute(s) that you would like the simple analysis
function applied to. Once you have made your selection(s) click the NEXT> or FINISH button if the Optimize
Swath Widths was selected.

6.

If Filter Data or Scale Data were selected you will now be prompted with a value entry dialog. For Filter Data
you will be required to enter the Minimum Value and click the NEXT> button and then be prompted for the
Maximum Value and then click FINISH to apply the filters. For Scale Data you enter the Scale Factor Value,

114

Advertising