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BeCrop® Portal Tools: The Metric BoxPlot Tool

The Metric BoxPlot Tool compares BeCrop® report metrics across two clusters of samples and shows their distributions as box-and-whisker plots. Unlike the 1–5 “Very Low to Very High” view, this tool uses the 0–100 BeCrop® Score for added granularity. When there are enough samples, it also calculates a p-value to help assess whether differences between clusters are meaningful.

Use it to answer questions like:

  • Which metrics differ the most between treated vs. untreated plots?

  • What are the minimum, maximum, and distribution for a metric in each cluster?

  • Which indexes best separate one management approach or parcel group from another?

Accessing the Metric BoxPlot Tool

  1. Log into your BeCrop® Portal and choose the crop you want to analyze.

  2. Open Toolbox → Metric BoxPlot.

Note: The tool shows all samples for one crop at a time. To analyze another crop, switch crops in the Portal header and reopen the tool.

 

Set Up Your Clusters

  1. Assign samples to clusters

    • Click the circle below each sample to add it to Cluster 1 or Cluster 2. You can group by treatment, timeframe, parcel, or any comparison you want to make.

  2. Name clusters for clarity (e.g., “Control – untreated” vs. “Product – treated”).

  3. Show names (optional)

    • Toggle from codes to names to display human-readable sample names.

  4. Save your configuration

    • Click the Save icon, name your configuration, and reload it later using Load Saved Configurations.

Run the Comparison

  • Click Compare.

The results page shows differences in BeCrop® Score (0–100) between cluster averages across report metrics (including diseases and functional indexes).

  • Right column: metrics with the largest increases in Cluster 2 vs. Cluster 1.

  • Left column: metrics with the largest decreases (i.e., higher in Cluster 1).

  • Colored bars point toward the cluster with the higher average.

Filtering Sections

At the top of the results screen, you can filter metrics into categories (similar to the HeatMap tool):

  • Biocontrol agents

  • Phytohormones & Stress Adaptors

  • Nutrient & Carbon Cycling Pathways (BCC pathways)

  • And more

Reading the Box-and-Whisker Plots

Click any metric to open its box plot:

  • The plot shows the 0–100 BeCrop® Score across the bottom, and the 1–5 bands (Very Low to Very High) along the top.

  • You can see the distribution of samples in each cluster and the average marker, which helps you understand spread and separation between groups.

Statistical Significance (p-value)

If there are 5 or more samples in each cluster, the tool calculates a t-test p-value. As a general rule, p < 0.05 is considered statistically significant.

Return to the list: use Variation Ranking (top) to go back to the ranked metric view.

Practical Example

You trialed a biological product and want to see its effect on key functions:

  • Cluster 1 = Control (untreated)
  • Cluster 2 = Treated
  • Click Compare, filter to the category you care about (for example nutrient pathways or disease risk), then click individual metrics to review the score difference, distribution, and p-value.

When to Use the Metric BoxPlot Tool

  • You want deeper numeric insight than the 1–5 scale

  • You are comparing two groups (management, timing, treatments, parcels)

  • You want distributions and significance, not just a snapshot

  • You want to identify which metrics best separate two clusters

👉 Want a Step-by-Step Walkthrough?

Prefer to learn by watching? Check out our short explainer video on using the Metric BoxPlot Tool.