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🔬 Quantitative Health Surveillance: Data-Driven Colony Diagnostics

Moving beyond visual inspection to statistically valid sampling, mite-count thresholds, and treatment-efficacy verification for tracking colony health through the season.

Entomology & Insect Behaviour3DModerate60 FPS

A virtual alcohol-wash / sugar-roll sampling jar shakes a measured bee sample, washes mites through a strainer onto a counting tray, and turns the result into a mites-per-100-bees figure checked against a treatment-action threshold.

🔬 What It Demonstrates

Real varroa surveillance is a numbers game: a standardized sample size, a dislodging method with known recovery efficiency, and a threshold-based decision rule replace guesswork with a repeatable diagnostic.

🎮 How to Use

Pick a sampling method, set the sample size and the colony's true (hidden) infestation rate, then run the sample to watch mites separate onto the tray. Compare the resulting bar against your action threshold and a projected post-treatment bar.

💡 Did You Know?

Sugar rolls let the sampled bees fly home afterward, but typically recover slightly fewer mites than an alcohol wash — a real trade-off beekeepers weigh between accuracy and killing part of the workforce.

⚙ Under the hood

An interactive 3D alcohol-wash / sugar-roll mite sampling jar: shake a measured bee sample, watch mites wash through a strainer onto a counting tray, and see the mites-per-100-bees result scored live against an action threshold and a projected post-treatment bar chart.

varroa-monitoringcolony-healthalcohol-washsugar-rolldiagnosticstreatment-efficacy

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