Growth Stages: Get To Know Your Crops Better

Understanding the stages of a plants’ growth is essential to successful EOSDA Crop Monitoring. Although satellites cannot measure the stages of vegetative growth directly, they can measure the daily temperatures and calculate their total sum over time. Based on this data, EOSDA Crop Monitoring is capable of detecting growth stages for various types of plants.

BBCH Scale

Our app displays growth stages according to the international BBCH scale. We know that the sets of stages differ from crop to crop and have adjusted them accordingly.

Geography And Crops

At the moment, we only offer this feature for the following countries and crops:

Visual Representation

Let’s navigate growth stages in the application. By default, when you log in you are in the Fields tab. As soon as you select a field, a chart will automatically appear just below the map. There, among the vegetation indices and weather data curves of different colors, you will see a number of perpendicular vertical yellow dashed rays. They seem to stem from the leaf-within-a-circle icons. These are growth stages for this field’s crop. In the legend above the chart, you can find the indicator with the same name. If it’s on, the legend has a dark yellow color assigned to it. You can turn it off with a single click (the color will disappear).

Note: If you have just added a new field, you won’t see any growth stages for its crop displayed automatically. And if you try to manually click them on, this window will pop up:

That’s because to actually see the growth stages on the chart you need to tell the system two important bits of information first:

• Crop name
• Sowing date

Locate the sidebar with the general field info (it is on the right side of the screen), and find the little Crop rotation bar. Under the Sowing Date, click +Add.

Do not let the default settings trick you. If you see the crops already selected for you, but no growth stages on the chart, do it yourself in several easy steps:

1. Click +Add and wait for an edit window to pop up in the center of the screen.

2. Set all of the crop names and sowing dates you need by clicking on the little arrows and calendar icons.

3. Click “Save” and you are done.

When you are done setting the growth stages feature up, you should see them on the chart displayed automatically, like below:

In this example, four different stages of germination for the sugar beet are displayed. To find out what they are, hover the mouse cursor over the leaf-within-circle icons, or anywhere over the dashed rays. Here, the stages are “leaf development,” “rosette growth,” “development of harvestable vegetative plant parts,” and “beetroot has reached harvestable size.”

Below is an example of a hovercard for a “flowering” stage, with three annual vegetation indices values (for the same date of the three different years), and the minimum/maximum air temperatures. This is a slice of several types of data for a particular growth stage.

Check The Dates

As you can see, the dates below the chart tell you when a certain stage of a plant’s growth begins or ends. For example, the leaf development of sugar beet began some time between 16th of April and 6th of May. Though, if you zoom in on the chart, by using the mouse wheel, you will see the exact date.

Similarly, the second and the third stages began in the first days of June and around 23rd of June, respectively.

Compare The Data

Let’s focus on this illustration a little longer. The horizontal curves of different colors stand for NDVI as well as minimum and maximum air temperatures. Here’s the fun part: thanks to the perpendicular relationship between these curves and the growth stages vertically dashed rays, it is easy to see where they intersect. In other words, you can tell the exact NDVI value, as well as the temperature, at the starting and end point of any growth stage.

The same holds true for the curves related to:

• Precipitation
• Cold stress
• Heat stress

Which you can turn on by switching between the Weather Data settings on the left.

Where Can You Find Growth Stages?

So far we have been dealing only with the chart in the Fields tab. Yet there is one more place with charts where you can see how the growth stages correlate with other types of data. That place is the Historical Weather panel of the Weather analytics tab, of course.

All four charts display the vegetative stages of growth for a particular crop. They correlate with:

• Accumulated Precipitation
• Daily Precipitation
• Daily Temperatures
• Sum of Active Temperatures

You can clearly see what was happening to your winter rapeseed (for instance) during its three different plant growth stages: how much precipitation was there and how the temperatures influenced the crop’s growth.

Benefits, Benefits, Benefits!

Once you get the gist of how to navigate growth stages in the application, it will become easier to trace the development of your crops and know its correlation with the vegetation indices and weather data. Benefit from the analytical tool that relies on space imagery and gathers data conveniently, in one place. May your crops live long and prosper!

Nataliia Ivanchuk

Scientist at EOS Data Analytics

Natalia Ivanchuk holds a Master’s degree in Applied Mathematics (2013) from the National University of Water and Environmental Engineering. She is an author of 60+ scientific publications, monographs, and other scientific works.

In 2019, she successfully defended a thesis, “Mathematical modeling of filtration processes in soil environments taking into account the influence of elements of engineering structures” and earned the Candidate of Technical Sciences degree.

Currently, Natalia is an Associate Professor at the Department of Computer Sciences and Applied Mathematics at the National University of Water and Environmental Engineering in Rivne, Ukraine. She teaches different programming languages (C++, C#, JS, among others) at the said university.

Natalia is actively engaged in scientific research related to the practical application of new programming algorithms. Programming is also something she likes to do in her spare time.

Her expertise and constant desire to learn and perfect her programming skills, especially in working with Python, has been most beneficial for EOS Data Analytics.