🧠 Smart DTM Learning System

Machine learning algorithm that learns YOUR actual days-to-maturity vs textbook numbers
Algorithm Status: Auto-Learning Active • 0 data points collected • Accuracy: 0% • Last trained: --
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Automatic Learning Enabled

The system automatically trains every day at 3:00 AM using all harvest data. No manual intervention needed. The model continuously improves predictions as you record more harvests.

0
Crops Learning
+3 this season
0%
Prediction Accuracy
+12% improvement
0
Seasons Tracked
Spring 2026 active
0%
Avg Confidence
Needs more data
📊 DTM Learning Data
Crop & Variety Season Textbook DTM Actual DTM (Learned) Delta Data Points Confidence
📈 DTM Accuracy Trends
🔮 Next Season Predictions
🧮 Algorithm Insights

How It Works: The system tracks every planting from transplant to harvest, comparing actual results against textbook DTM values. Over time, it builds a personalized model that accounts for:

  • Your specific microclimate and soil conditions
  • Seasonal variations (spring vs summer vs fall)
  • Varietal differences within the same crop
  • Field-specific performance patterns

Automatic Daily Training:

  • 3:00 AM Daily: System automatically analyzes all new harvest data
  • Continuous Learning: Model improves with every recorded harvest
  • No Manual Intervention: Just record harvests - the algorithm handles the rest
  • Real-time Updates: Predictions update automatically after each training cycle

Confidence Levels:

  • 0-50%: Insufficient data - using textbook values
  • 50-75%: Learning phase - blending textbook + actual
  • 75-90%: High confidence - primarily using learned values
  • 90-100%: Very high confidence - fully personalized predictions

Smart Weighting: The algorithm gives more weight to recent seasons and adjusts for outliers (e.g., unusually hot summers or pest damage).