Ag Leader SMS Basic and Advanced Manual User Manual
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Data Analysis and Modification
How to run a batch comparison analysis
Correlation Analysis
This analysis function provides the ability to help determine what variables that influence your crop production may
have a positive, negative, or no affect at all on each other. An example you may want to see what the historical affect
of different soil properties like pH, OM, or CEC may be on yield in your fields over all the years that you have been
collecting data. You may find that pH and CEC have no relationship at all but OM has a high correlation meaning as its
value increases so do yield levels and vice versa. This function can be performed in batch or even across multiple
projects.
Select Correlation Attributes
How to generate correlation results
Equation Based Analysis
This analysis function allows you to write your own equations to apply to the data in your system. For example, you
can enter in equations from your state for fertilizer recommendations using inputs such as yield values, soil test result
values, soil type, etc. Equations can also be run in batch to generate results for multiple datasets at one time, so you
can write a prescription equation and then run it against all your fields at once using the batch option.
Define Output Attribute
Set Analysis Result Type(s)
Select Analysis Input Datasets
Define Result Equation(s)
Add/Edit Equation Variables and Spatial Functions
Understanding Equation Formatting
How to write an analysis equation
Multi-Year Averages Analysis
This analysis function takes multiple years of data and combines them into one result dataset that is an averaged
equivalent of all the datasets that are input. You can also select to have the attributes normalized so as to allow for
proper averaging and comparison of datasets from different products, such as Corn and Soybean yield data which is
directly comparable since the yield scale of these products are not the same, thus not directly comparable. This
function is very useful for taking many years of yield data and combining them into one dataset that is easier top work
with for input into other analysis functions and also can show overall trends that exist year after year. It can also be run
in batch.
Aggregate Options
How to generate a Multi-Year averages dataset
NDVI Analysis
This analysis function creates an NDVI dataset set from an NIR image. NDVI stands for Normalized Difference
Vegetative Index and is an indicator of a crops health.
Healthy crops will have a high NDVI value. Bare soil, rocks, etc
will have NDVI values near zero. Clouds, water, and snow will have negative NDVI values.
Raw NIR data, or Vigor as
it is often
referred to, is also generated using this analysis function.
NDVI Settings
How to generate an NDVI dataset
Profit/Loss Analysis
This analysis function uses the Financial Tracking entries you have made to generate a profit/loss dataset for a field at
a time. Three attributes are created; Expenses, Income, and Profit/Loss. The results will not be as accurate as the
totals or results you get from the Financial Tracking Report though due to the strictly spatial nature of this analysis and
the gridding that occurs, but it will still reflect financial trends in your fields that can be used to make adjustments to
your operation or as an input into the equation analysis function for further analysis. This function can also be run in
batch.
How to generate a Profit/Loss dataset
Terrain Analysis
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