Greenhouse IPM

Your monitoring tells you something is wrong. We turn it into action.

Every alert, scout note, and sticky-card count can become assigned work, field confirmation, and a closed task in one operating record.

Signal becomes work Scout verifies in-row Task closes with proof
Action layer

Finding to assigned task to verified done.

Greenhouse monitoring already tells teams what needs attention. AR-Ag turns that signal into controlled work.

Capture

Pressure appears.

An alert, scout note, sticky-card count, or call points to a crop location.

Route

Work gets assigned.

The manager sends the task with owner, location, due time, and context.

Verify

The scout checks it.

Phone or glasses HUD captures voice, photo, count, and annotation.

Close

The task is done.

Recheck, decision, and proof close on the same operating record.

Order

The product ships.

Threshold breach triggers a product recommendation from the 370-product greenhouse IPM knowledge base. The manager orders inline — same workflow, same record. No sticky notes, no lost emails, no delayed treatments.

The edge

Keep the tools they use. Close the work in one record.

Texts, sticky notes, dashboard alerts, calls, counts, and scout observations can all become assigned work without forcing a greenhouse to rip out what already works.

Existing greenhouse signals becoming one verified work record, routed to Bay 3, phone HUD, AR glasses, and command dashboard
Capture anywhere

Keep the tools already in use.

Texts, alerts, notes, calls, counts, and scout observations can all point to the same crop location.

One record

Route work with context.

The finding becomes owner, location, proof, and recheck instead of another handoff to remember.

Loop closed

Proof comes back from the row.

Phone or glasses capture the field result so the manager sees what changed and what is done.

Every confirmed annotation compounds a ground-truth dataset no monitoring dashboard produces.Spatial patterns surface infrastructure problems no monitoring tool sees: irrigation leaks, climate-control dead zones, and recurrent localized pressure.The annotation corpus also drives threshold-based product recommendations and inline purchasing — so a pest alert becomes a dispatched task AND a supply order in the same workflow.

Works beside greenhouse systems growers already use: IUNU, Priva, Hoogendoorn, Ridder, Argus Controls, Blue Radix, and others.
Field interfaces

Scout app, glasses HUD, and voice proof.

The scout experience starts practical: a standalone phone app today, hands-free glasses when the operation is ready, and voice annotations that send usable proof back to the manager in real time.

Scout app, camera-enabled AR glasses, and voice annotations turning field observations into structured proof
Scout app

Standalone app for the row

Each scout gets a simple work surface with task context, guided capture, multilingual prompts, and the next step.

Guides the worker back and forth until proof is captured. Works on a phone with no dashboard training.
Hands-free field work

Phone HUD or AR glasses

The same Bay 3 context can run on a sideways phone HUD or camera-enabled AR glasses.

Same workflow, different form factor. Sanitizable, food-safe: no personal phone in the grow.
Voice annotations

Talk the loop closed

The scout says what they see. The agent structures counts, notes, photos, and recheck state for the manager.

Real-time proof returns to the command center. Multilingual capture for field crews.
Manager command center

See the operation, ask Jarvis, and take action.

This is where the real platform walkthrough belongs: live pressure context, scout roster, task queue, voice or text conversation, dispatch confirmation, and proof returning from the row.

Manager seated at an AR-Ag command center with greenhouse map, action queue, Jarvis, and field proof returning Command center visual placeholder
Live picture

See pressure, people, and work in one view.

Bays, pressure zones, scout presence, assignments, and rechecks sit together instead of living across tools.

Jarvis

Ask what needs attention before acting.

Voice or text conversation surfaces the next best action, then waits for manager confirmation before dispatch.

Action

Dispatch, verify, and close with proof.

Owner, due time, field proof, decision, and recheck all stay attached to the same operating record.

Supply chain

Know what's on hand and what's running low.

Inventory tracking, reorder thresholds, and purchase orders connected to the same operating record. Spend by category, treatment ROI, and purchasing cycle time visible to leadership.

Return on investment

See pressure earlier. Act faster. Close the loop.

Earlier calls and fewer handoffs protect crop revenue and reduce management drag. The numbers below are planning assumptions, not published claims, and can be tuned to your operation.

Handoff time

From 10-20 minutes to under 2.

Fewer calls, duplicate notes, and spreadsheet cleanups. The labor saving shows up first as recovered manager and scout time.

Decision delay

From overnight to same shift.

Pressure can move from end-of-day follow-up to same-walk review, protecting at-risk crop revenue before a small issue spreads.

Task leakage

Every recheck gets an owner.

Assigned work, due time, and proof reduce stale decisions and lost tasks, which lowers avoidable crop risk and management drag.

Run the numbers on your operation

Adjust the planning assumptions. The model uses one scout seat per scout, one command center seat per greenhouse manager, and a blended field and manager labor rate.

Annual labor savings$0
Annual crop revenue protected$0
Total annual value$0

At $0/month in seat costs, that is a 0:1 return on the platform.

Book a walkthrough Illustrative planning model based on labeled assumptions. Not a performance guarantee.
Pricing

Simple pricing. Per person in the loop.

AR-Ag is priced per seat. Scouts, managers, and leadership. Hardware and custom integrations are one-time, not buried in the monthly price.

Scout seat

The full scout loop.

$49 / user / month
$499 / user / year

Capture, confirm, dispatch, recheck. Phone or tablet.

Read-only seat

For leadership and back-office.

Free
View only

Pressure trends, savings view, outcomes. View only. No dispatch.

Hardware

One-time, optional. AR glasses when field-ready. Phone-first today.

Integrations

One-time, custom quote. Data import, IoT feeds, monitoring tools, SSO. Quoted to fit the operation.

Partner path

We work with growers, technology providers, and platform resellers. Referral, reseller, and partner embedding terms available.

Talk partnership

Every price reflects a share of the labor savings the platform creates. Prices may adjust as pilot data refines the savings model.

About AR-Ag

The product came from the floor.

I have been in agtech for nine years, working across multi-environment operations. The same problem kept surfacing: information and communication systems that do not talk to each other. Work dies on the vine because the finding never reaches the person who can act on it. I saw this in every operation I touched. In greenhouses it became most apparent, and most fixable, with the biggest potential impact. So I went to greenhouse operators before I had a product. No deck, no prototype. I asked them to walk me through how scouting actually works on the floor. The product came from those conversations, not from a whiteboard.

What they told me: scouts capture findings on paper or in their head. The manager sees pressure on a dashboard days later, if at all. Nobody closes the loop. The annotation, the dispatch, the recheck, those steps do not exist in the current toolchain. So I built the thing that adds them.

I built the full stack solo. The vision model suggests, the scout confirms or overrides, and every annotation is a paired record: model suggestion plus human ground truth plus dispatch linkage. That paired record is the asset nobody else can generate, because nobody else has the human in the loop. One greenhouse operator is engaged for pilot feedback. No revenue yet. The action layer is the product. The annotation loop is the data engine. The corpus is the moat.

Contact

Talk to us.

If you run scouting in a greenhouse, sell technology into greenhouses, or want to see the platform with your own workflow, get in touch.

russellcolevop@gmail.com