Agriculture · Strong theory

Feed Bunk, Trough & Water Level Sensing

Knows when the water trough runs dry — before the herd suffers.

Strong theory Strong theory

The physics is solid; our own validation is scheduled.

Water reflects WiFi almost like a mirror, so a full trough sends back a strong, clear echo. As the level drops, the echo shifts; when it is empty, the echo is gone. Feed bins work the same way — the surface of the feed is a line the signal can read.

In the physics: Water is a near-ideal RF reflector (eps_r ~80), so a full vs empty trough produces a large, cleanly delayed CIR return whose delay encodes the surface height; bulk feed presents a moving dielectric interface whose top surface reflection tracks fill level.
Preparing the recorded fieldLoading real LatentField pipeline output…

This is real pipeline output for Agriculture, replayed. The exact reading depends on your room.

Bring this into the real roomBarn Activity Node3 sensing nodes · ~$130 parts · about 90 min
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How the field becomes an answer

CIR sparse recovery extract the dominant surface-reflection delay bin map delay to level via calibrated geometry compartment Kalman smoothing + CUSUM to alarm on stuck-full (auger jam) or unexpected-empty (water-line failure)

How we prove it

Textbook water-reflection physics + ESP32-wall CIR delay accuracy; trivial own-hardware calibration filling a trough/bin in known increments.

Who it is for

'LevelSense' — zero-moving-parts feed/water level & waterer-failure alarm; cheapest LF2 upsell, bundles with PenGuard on the same mesh.

Complete first-room estimateBarn Activity Node3 nodes · ~$130 parts · 90 min Request kit, subscribe, or set up →
Compatible DIY hardware options
Prosumer Pro (paired node)$110–150

60 min · intermediate

Operator Single-Venue$280–380

120 min · advanced

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