Agriculture is one of the fastest growing markets in the commercial drone industry. Drones quickly become an indispensable tool to help you become more efficient and make more informed decisions about your crop management.

In recent years, there has been a growth in drone solutions, making it possible to collect data with drones. Think of new ways to use drones, such as for detecting crop damage or analyzing positions.

Today’s drone solutions allow farmers to detect crop health problems in real time and accurately map losses. Major weather changes can also be anticipated to limit money, labor and resources.

5 steps to take:

  1. Contact Fields Sweden
  2. Collect data
  3. Generate map
  4. Analyze map
  5. Manage crops

Bron: Dronedeploy

How plant health algorithms work: How can drone data tell you about the health of your crops?

Healthy plants reflect light differently from unhealthy plants. Plants that are healthier tend to reflect more green light than red light, which is why they look green. Plants also reflect near infrared light, which is invisible to the naked eye, but can be detected with infrared sensors.

With the program’s built-in plant health tools we use, we can apply plant health algorithms like NDVI and VARI to the drone map. These plant health algorithms compare the amounts of light captured over different bands (red, green, blue and sometimes near infrared) and assign numerical values ​​for each pixel on your map. These numerical values ​​are then assigned colors within a spectrum.


The color spectrum makes it easy to spot the variance between healthy and unhealthy areas of your field. By applying these plant health algorithms to the data, you can quickly identify areas of crop stress and make targeted diagnoses of problems.

What is NDVI?

NDVI (Normalized Difference Vegetation Index) is a simple metric that indicates the health of green vegetation. It compares the reflected intensities of near infrared (NIR) and visible light. Sensors that are compatible have infrared conversions, which transmit blue, green and NIR light to the sensor. This allows us to use the improved version of the NDVI formula or eNDVI to calculate the NDVI layer giving you an even more reliable measure of crop health assessment. The eNDVI values ​​are calculated for each pixel of your map, giving them an index in the range -1 -> 1; the meaning of these values ​​is given below:

-1 > 0 : material without vegitation. roads, soil, dead plants

0 > 0,33 : unhealthy plant material

0,33 > 0,66 : healthy plant material

0,66 > 1 : Very healthy plant material


Stand countLive mapping
Plant stress analysistime / money saving
Weed analysisAn overview of the crop stand at any time, so that you can anticipate in time to limit events in the field.
Plant population

Wheat field V0

Wheat field V3

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