🎥 Demo Video:
https://youtu.be/Ezpgv-hSWfg

Raw yield numbers can be misleading.

A strong year may simply reflect favorable weather.
A weak year may be driven by drought or heat stress beyond anyone’s control.

Our system establishes a weather-adjusted yield benchmark.
We estimate the yield expected under specific weather conditions and measure the deviation from that baseline.

This weather-normalized signal separates:

• 🌦️ Environmental impact
• 🌱 True land or management performance

The result is a clearer view of structural productivity and resilience.

Historical averages do not reveal whether land is intrinsically productive — or simply benefited from good weather.

By identifying consistent overperformance or underperformance relative to weather conditions, our platform enables investors to:

• ✅ Detect resilient, high-quality land
• 💰 Avoid overpaying for weather-inflated yield history
• 📉 Assess long-term climate risk exposure
• 📊 Compare assets on a normalized performance basis

This supports smarter acquisition, valuation, and portfolio allocation decisions.

Year-to-year yield comparisons are often distorted by weather variability.

Weather-normalized benchmarking allows farmers to:

• 📈 Evaluate performance fairly across seasons
• 🔍 Distinguish weather-driven losses from operational gaps
• 🌾 Demonstrate resilience and management strength
• 🧠 Identify structural improvement opportunities

This transforms raw yield history into a performance story backed by data.

• 🟢 Positive residual → Outperformance
• 🔴 Negative residual → Underperformance
• ⚪ Near zero → Yield aligned with weather expectations

This simple but powerful metric converts historical yield and weather data into actionable performance intelligence.

We train crop-specific models using historical yield and weather data from 2010–2024.

For each county and year, the model outputs:

• Predicted Yield (based solely on weather conditions)
• Actual Yield
• Residual (performance signal)

• RMSE: 18.55 bu/acre
• R²: 0.868

This demonstrates that weather explains the majority of yield variability while preserving a meaningful structural signal.

By isolating weather effects, we unlock:

• Climate-adjusted land valuation
• Resilience identification
• Drought and extreme event analysis
• More accurate long-term productivity assessment

In a world of increasing climate volatility, understanding true performance — independent of weather — is a strategic advantage.