Advanced Analytics
This chapter provides more details about advanced analytics that GeoPard offers for precision agriculture. That information can help you to make decisions for your field or even farm management with the aim to optimize your returns while saving on, for example, chemicals.
Compare Layers
The Compare layers feature allows you to visually compare field analytics side by side in a split view. It is possible to select any type of layer for comparison: imagery with natural or infrared colors, imagery with vegetation views, in-season or historical management zones. Two layers behave synchronously when you zoom in, zoom out or move a map for your conveniences.

To enter the split view mode, select your field and click the compare layers icon in the top menu.
On the split view screen, select the analytics layer using a searchable drop-down list located on the top.
To exit the split view mode, click the Exit button located at the bottom of the screen.
Heterogeneity Factor
One of the features that GeoPard provides is the heterogeneity factor of your fields.
Heterogeneity factor is the number that shows the level of heterogeneity/variability of your fields. The more variability a field has, the more the need for precision agriculture technologies is. It is especially more useful when used together with GeoPard's multi-year analytics (30-year history).
If you have many fields, it can help you to understand, which fields to target first with Variable Rate Applications (seeding, fertilizing, spraying).
By combining GeoPard'sheterogeneity factor with multi-year analytics you can save the most on chemicals on the most heterogeneous fields.
Relative Variation Factor
Detecting changes that happened in the field during the last one-two weeks or one-two months or even a couple of years helps to get insights about crop development.

Relative variation factor or Relative Variation Index can be used to:

  • locate spots with similar performance across 5-10-20 years and place the trials in areas with similar conditions to reduce the probability of mistake
  • track the changes during the season and evaluate crop performance during the growth
  • recognize the damaged areas after a weather disaster or a disease or a pest attack and calculate damaged areas
  • detect the difference between the last two images and control the crop performance.
GeoPard's Relative Variation Index (RVI) covers all those cases and many others. RVI will provide more insights into the crop development when used together in combination with in-season and historical management zones.

Simply choose your field and satellite images to track the changes across them and get insights about every spot in your field.
Multi-year Zones
Historical (multi-year) management zones provide insights about every spot in the field.
Historical (multi-year) management zones are built based on 30+ years archive of satellite imagery. Images with peak vegetation during every season are automatically selected as inputs for analytics. Otherwise, every such image represents a potential yield file for the related year.
The field crop development pattern helps to know the agricultural area better and to apply the right decision with the right input rates in the right spots. Historical management zones could be used as a blueprint for prescription (Rx) files for seeding, fertilization, zones based soil sampling.