VRA Vegetative potential at each pixel

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VRA is a layer developed by HEMAV that allows to analyze the variability in the vegetative potential of each pixel that composes the plot, by analyzing its behavior in previous years.

It is based on the analysis of the plot after analyzing the behavior of the NDVI in the three years prior to the date on which the layer is executed. The layer evaluates where the NDVI has developed to a greater or lesser extent and assigns a vegetative potential. This potential is based on the ability of the plot pixel by pixel to generate biomass, given the strong relationship between biomass and NDVI.
VRA can be used to adapt the level of sowing or fertilization to each differential zone through the use of variable application machinery, improve the design of irrigation systems by adapting them to the detected variability, evaluate the best global agronomic management strategy based on the greatest representativeness, or adapt the most suitable varieties to each zone, among other examples. It is also useful for suppressing spatial variability when designing field trials, or assessing overall plot quality.
This layer is especially indicated for plots that have a homogeneous management, that is to say, that have traditionally been occupied by the same crop with sowing or planting dates very close in time. If the plot had very different sowing dates, was occupied by different crops, or a part of the plot was left uncultivated, these circumstances will be shown on the layer, generally very well delimited geometric shapes will appear that do not usually occur naturally, as shown in the following example, where a plot was occupied by two different crops and also maintained an uncultivated area:

It is also important to bear in mind that the influence of a pest or disease on the crop in one of the years analyzed by the layer will have repercussions, and may reduce the productive potential in the area that was affected. If the plot is not currently homogeneously managed, but was previously, we can activate the layer at that date to analyze the variability at that time.

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