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The technology behind the sensor

Below is a better insight into the technology behind the sensor, i.e. what it sees
and register and how it collaborates with a satellite around indexing rates of the field which creates optimal results in the end.

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Plant-level Insights

Subdivision rates of the field

R edistribution is your normal amount of input toffer that you pour into the tank before driving out into the field. But using the PerPlant sensor, this dose can be minimized, and therefore a preliminary calculation takes place, which is described below - this process is called "sensor distribution":

When an "operation" is to be performed (fungicide, fertilizer or plant growth regulator), a number of parameters are selected based on each operation:

  • Parameters: Fungi (mushrooms), feti (fertilizer) or
    pgr (growth regulator).

  • Crop type

  • Your usual average and deviation.

Based on this input, vegetation indices are requested/downloaded from the satellite Sentinel 2 imagery. The PerPlant algorithm is now run on these indexes. The algorithms use the indices and inputs to create prescription maps (which are a classification of the field based on productivity). With the PerPlant algorithms and vegetation index, your field is classified into productivity zones, so you can see which zones are more and less productive.
Based on these classifications, the perfect dose of e.g. fertilizer is allocated to place in each zone so that you are not left with a residual product.

Vegetation index

The above indices that the satellite produces are described below - but will vary based on the objectives of the operation in question and the characteristics of the crop in question:

NDVI : is one of the most widely used vegetation indices. It measures the difference between visible red light (which is absorbed by vegetation) and near-infrared light (which is reflected by vegetation). Higher NDVI values typically indicate healthy vegetation, while lower values may indicate bare soil or stressed vegetation.


NDRE : similar to NDVI, but uses the red edge spectral band. It is often more sensitive to chlorophyll content in plants, making it ideal for detecting stress or nutrient deficiencies before they become apparent.


CI : The chlorophyll index is used to estimate the chlorophyll content of leaves. Higher values typically mean higher chlorophyll content, which is often an indicator of healthy vegetation.


NGRD : Similar to NDVI, but uses the green band instead of NIR. So, focusing on the visible part of the spectrum, it can be sensitive to subtle changes in vegetation health or coverage.


MCARI : is designed to emphasize the chlorophyll content of plants while minimizing the soil background effect. It uses a combination of the green, red and red-edge bands.


SM ( Soil Moisture ) : This is not a vegetation index, but a measure of the water content in the soil. With satellite data, soil moisture is estimated from the Moisture Stress Index using the SWIR and NIR bands from "Sentinel-2".

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