The field report explained
Valeriya avatar
Written by Valeriya
Updated over a week ago

The report offers the following information on your field: historical productivity zones, soil brightness, and elevation.

We recommend starting off by looking at the number of seasons in the Field report that were factored in when building the productivity zones. The more seasons were used, the more accurately the productivity zones are determined. As a reminder, the fields that are suitable for variable-rate application meet the following conditions: productivity zones in them were stable for at least three seasons (i.e. the location of high, medium, and low productivity zones was constant from season to season) and the stable areas cover over 40% of the total field area.

After that, you can evaluate the productivity zones to see how well they correspond to your own knowledge of the field’s productive potential. Compare the productivity zones with the elevation and soil brightness to find patterns between the latter and the productivity zones and make sure that the zones represent the field’s potential correctly.

If you think that NDVI data for certain seasons shouldn't be used to build productivity zones, click 'Edit list' and exclude the seasons you don’t want us to use in calculations. Then click 'Recalculate' for us to rebuild your productivity zones. Please note that at least two seasons of data are needed to build productivity zones.

When can this come in handy?

When building productivity zones, our algorithms select satellite images that represent crop development in a certain growth stage, when NDVI data has a strong correlation with actual yield. However, in certain situations, it's not advisable to factor in some seasons. These include if:

  • You know that during a given season, the field was divided into two or more fields

  • You see that a cloud-covered satellite image was used to calculate the productivity zones

  • You know that the field had an anomaly during the season (weeds, drought, or waterlogging)

By studying these three layers of data, you can conclude which of 4 factors are limiting yield in the low-productivity zone:

  1. Erosion

  2. Waterlogging

  3. Salinity

  4. Low pH

💡 Expand the map to full screen to compare different layers with each other.

Let's look at a couple of examples. The picture below shows that the low-productivity zone is in light soil and elevated. That means that low moisture and low nutrient content are probably limiting yield in the higher part of the field.

In the second case, the low-productivity zone is located in a low-lying area with high levels of organic matter and nutrients. That means that the field experiences waterlogging year after year.

💡 Want to better assess your field's topography? Use the 3D field visualization tool when viewing the field or creating a prescription map.

Now you know in which fields VRA technology can be used. Having learned all the strengths and weaknesses of your field, it's time to set up a trial and create VRA maps to get the most out of your field!

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