Data Sources
Tree Sensors (API)
Weather Data
Manual Upload (Kestrel)
Large Historical CSV
No Data

Graphing Tool

Build custom graphs from loaded API, weather, and sensor data.

Please load data from the toolbar above to begin graphing.

AI Prediction Tool

This AI model has learned patterns between environmental conditions and tree growth. Use presets or sliders to simulate conditions and predict growth.

1. Select a Scenario

2. Fine-Tune Conditions

25.0 C
50%
15.0 C
Adjust conditions and click "Run Prediction Model"
Model Details & Performance 
Model Training Performance Summary
Date: 2026-01-17 00:27:37
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RandomForestRegressor: R2=0.984
XGBoostRegressor: R2=0.987
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Selected Best Model: XGBoost (0.987)

Fourier Analysis

Uses Fast Fourier Transform (FFT) to detect repeating cycles in tree growth data. Frequency finds patterns (like 24-hour cycles); Amplitude measures cycle strength to distinguish living trees from dead wood.

No data found. Please load tree data from the toolbar above first.

Tree Comfort Index

Calculates a comfort index from Kestrel data based on temperature, humidity, dew point, and VPD.

Upload a Kestrel data file from the toolbar above to use this tool.