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🐝⚖️ Machine Learning Models for Hive Weight Prediction

Interactive 3D hive-on-scale visualization paired with a live prediction curve where adjusting weather and forage inputs updates a simulated ML model's hive-weight forecast.

Ecology & Conservation Biology3DAdvanced60 FPS

A beehive sits on a digital scale while a live regression-style model forecasts tomorrow's weight change from temperature, forage availability, rainfall and wind — and a chart panel plots that forecast against the accumulating sensor trace.

🔬 What It Demonstrates

Precision-beekeeping hive scales stream noisy daily weight readings. A simple additive model — nectar income minus flight cost minus cluster upkeep — mirrors how real gradient-boosted or regression models turn weather and forage features into a weight-change forecast.

🎮 How to Use

Adjust temperature, forage availability, rainfall and wind speed. Watch foraging bees respond in the 3D scene and the dashed prediction curve shift against the solid "sensor" trace on the chart panel.

💡 Did You Know?

Commercial hive-scale networks now feed thousands of colonies' weight, temperature and humidity streams into ML pipelines that flag swarming risk, nectar-flow onset, and winter starvation days in advance.

⚙ Under the hood

Interactive 3D hive-on-scale visualization paired with a live prediction curve where adjusting weather and forage inputs updates a simulated ML model's hive-weight forecast.

machine-learninghive-weightpredictive-modelingprecision-beekeepingsensor-dataecology

3D · Three.js / WebGL renderer · 60 FPS target · runs fully client-side, no install