Agriculture · Frontier

Greenhouse Canopy Water-Stress Mapping

Shows which greenhouse benches are thirsty before any leaf wilts.

Frontier Frontier

Plausible physics, early work — shown honestly as an experiment.

Most of a healthy leaf is water, and water is what the signal feels most. As plants dry out, the signal passes through the canopy more easily, bench by bench. Radar has measured plant water this way from satellites for decades — this brings the same physics inside the greenhouse.

In the physics: Leaf and stem water content dominates vegetation permittivity (well-established in radar remote sensing); as canopy relative water content drops, eps_r and the volume-scattering signature fall measurably, changing reflected amplitude and effective path length through the canopy.
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 through the canopy layer RFF/NeRF reconstruction of a canopy eps_r map compartment Kalman tracking of each bench-zone's water-content proxy across the day CUSUM to flag zones drifting toward chronic stress

How we prove it

Own-hardware: ESP32 grid above/below benches vs gravimetric leaf-water-content sampling and stomatal-conductance porometer across an irrigation cycle; use ESP32-wall/CIR benchmarks to validate through-medium eps_r recovery.

Who it is for

'CanopyScan' — zone-level irrigation intelligence for high-value greenhouse growers; cuts water use and prevents silent yield loss.

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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