🧪 Agriculture Food Safety Simulation

How it works

• Network — batches flow farm → processing → distribution → retail along animated supply lines. Each node further downstream blends batches from several upstream sources, so a single contaminated farm gets progressively diluted the further its product travels.
• Spread model — every batch that leaves an infected node is tagged contaminated with a probability equal to that node's current infection level. On arrival, the receiving stage tests it: with probability equal to the QC rigor slider the batch is caught and removed; otherwise it counts toward the destination's rolling infection level. A node fed by several clean sources dilutes its infection level automatically.
• Traceability — every node remembers exactly which upstream neighbours ever shipped it a contaminated batch. Trace mode uses that real provenance: click backward through the network, one true supplier at a time, until you reach the source farm.
• Recall — issuing a recall at a node blocks every downstream lane from that point onward, pulls batches already in transit, and stops new contamination reaching retail — the "batches saved" counter tracks how many were caught before they shipped.

Controls

• Flow speed — how fast batches travel the network.
• QC / testing rigor — probability each stage's inspectors catch a contaminated batch on arrival.
• 🧫 Contaminate a farm — click, then click a green farm node to start an outbreak there.
• 🔍 Trace outbreak — click, then click a red retail node and work backward through its real suppliers to the source.
• 🚨 Recall from node — click, then click any node to halt everything downstream of it.
• ↺ Reset network — regenerates the whole supply graph and clears the outbreak.

Did you know?

Real foodborne-illness investigations work exactly this way: epidemiologists start from clustered retail cases and interview distributors backward, one hop at a time, because no single database records a product's full farm-to-fork path.