Taranis analyzes the findings in the images captured, applies statistical models to estimate the distribution, and provides 2 levels of scoring:
Average standcount per acre
Standcount per image
(you can find additional information on the calculation algorithms here)
Taranis provides a single average number of plants score per field, which is an average of all the image individual scores.
The average number of plants shown on the top of the information pane on the left side of the screen can be used for a clear comparison with the expected planting population per acre, field prioritization, ROI calculations, etc.
The heatmap/histogram, shown below the average number of plants, shows the distribution of the scores in the field and are based on an interpolation function applied on the image scores, in order to distribute the area according to the populations.
As the calculations for the average number of plants and the heatmap and histogram are based on different methods, there might be cases where the two will slightly differ.
The goal of the average is to give a single value to describe the field's yield magnitude. Multiply by the acres, and get the average yield you can expect from the field.
The standcount score, is the average of the plant population (density) of the sample points (images) - after removing outliers (+/-3 standard deviations from average) to make the score more statistically robust.
The color of the score, will be of the matching color of the histogram bin range (see next section) in which it’s in.
Each image is annotated, based on the stands identified, and analysed for calculating the average score per acre, applying 1:1000 method (for deeper understanding of the calculation algorithms, please go here).
The circles show the standcount score for the image.
The color of the circle, will be of the matching color of the histogram bin range (Histogram section below) in which it’s in.
In cases where the score of the image was either extreemly high or extreemly low (+/-3 standard deviations from average), the image will not be scored, and appear as a regular sampling point image
There might be cases where the score of the image is 0 (zero). This might indicate a problem with the row spacing or seed spacing in the area captured in the image.
The goal of the heatmap is to provide better understanding of the spatial distribution of standcount scores in the field, in other words, to describe the field's performance variance geographically.
The heatmap is based on the same ranges coloring as the image scores, and using the zones tool, can turn into an actionable prescription shape file.
The insight histogram, shows the distribution of acres in each planting population range, based on the heatmap coloring. Histogram bins are defined according to the overall population range - divided into 5 equally spaced bins.
For example: if the field lowest count in a specific image was calculated to be 86K stands and the highest 147K stands, the ranges of the histogram bins will be of 12K = (147K-86K) / 5
In cases where the score is with a decimal point, the color might match the adjacent bin range, for rounding purposes. I.e. 122.7K in the image shows a light green color, whereas the score appears to fall within the 110-123K category, which is in light orange.
The total amount of acres, will always be the field size.