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🤖 AI Beekeeping Sensor Lab

A 3D interactive lab showing how acoustic, temperature and weight sensors on a beehive feed a neural network that scores swarm risk and disease alerts — including how false alarms happen.

AI & Machine Learning3DAdvanced60 FPS

Acoustic, temperature and weight sensors on a hive stream data up into a 3D neural-network diagram whose output drives a swarm-risk gauge — the same pipeline behind real precision-apiculture products.

🔬 What It Demonstrates

How raw sensor readings become a single risk score through a simplified weighted model, and how sensor noise plus a lack of human review can turn ordinary hive activity into a false alarm.

🎮 How to Use

Drag the acoustic, temperature, weight and noise sliders and watch the sensor rings, data packets and network glow respond. Toggle human review off to see an unfiltered false-alarm spike.

💡 Did You Know?

Published acoustic swarm-detection studies report roughly 80–95% accuracy — good enough to be useful, far from good enough to replace a beekeeper's own inspection.

⚙ Under the hood

A 3D interactive lab showing how acoustic, temperature and weight sensors on a beehive feed a neural network that scores swarm risk and disease alerts — including how false alarms happen.

artificial intelligenceneural networkssensorsswarm detectiondisease monitoringbeekeepingThree.js

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