📋 Building an Apiary Health Surveillance and Record-Keeping System
A 3D apiary yard where an inspection sweep periodically records each colony's health, while true colony health quietly drifts between visits — showing why inspection frequency determines how early problems are caught.
A 3D apiary yard where an inspection drone sweeps hive to hive on a fixed schedule, updating each colony's recorded health — while true colony health quietly rises and falls between visits, exposing the surveillance gap that good record-keeping is meant to close.
🔬 What It Demonstrates
Each hive shows two numbers at once: the recorded health from its last inspection (the box colour) and its true, continuously drifting health (the X-ray aura). Hidden declines — where reality has slipped well below the record — trigger a warning beacon.
🎮 How to Use
Set the number of colonies, the inspection interval, and disease/mite pressure, then watch how a longer interval lets more hives drift into "hidden decline" before the drone ever catches up. Toggle the X-ray aura to compare record versus reality directly.
💡 Did You Know?
Varroa mite populations can double in under two weeks during peak season — one reason many commercial operations standardise on 7–10 day inspection cycles rather than checking hives only when something looks obviously wrong.
A 3D apiary yard where an inspection sweep periodically records each colony's health, while true colony health quietly drifts between visits — showing why inspection frequency determines how early problems are caught.
3D · Three.js / WebGL renderer · 60 FPS target · runs fully client-side, no install