Catch crop problems before they spread
On device cameras with computer vision watch every plant around the clock and spot wilting, disease, pests and ripe fruit in real time. Problems get caught before they spread, the team stays in control, and the images never leave the greenhouse.
100% local Images never leave Works offline 24/7 vision
On-Device AgentRuns 100% locally on your hardwareCameras across the canopyGreenhouse crop monitoring uses on device cameras with computer vision to watch every plant around the clock. It spots wilting leaves, disease, pests and ripe fruit in real time, so problems get caught before they spread instead of during a slow manual scouting round. Everything runs locally on the operator's own hardware, so the camera images never leave the greenhouse and detection keeps working when the internet drops.
Scouting a whole crop by hand is too slow
Manual scouting checks only a sample of plants on a fixed round. Between rounds, a disease spot or a pest cluster spreads unseen. Skilled staff walk rows for hours, it does not scale across large or multi site operations, and the earliest symptoms are exactly the ones a quick walk misses.
Problems spread between rounds
By the time a weekly scouting round finds a disease spot, it has already spread to neighboring plants and rows.
Only a sample gets checked
Staff can walk a fraction of the plants, so early symptoms on the rest go unseen until they are obvious and harder to treat.
Scouting eats skilled hours
Experienced staff spend hours walking rows instead of acting on problems, and it does not scale across large or multi site operations.
See, detect and flag, on your own hardware
The cameras watch every plant continuously, the on device vision model reads leaf color, shape and ripeness, and the agent flags exactly which plant and row needs attention. It shows what it saw, and a grower confirms before any action.
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Watch every plant
Cameras across the canopy read every plant continuously, day and night, instead of a sample walked once a week.
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Catch it early
The moment leaf color, wilting or a lesion shifts, the agent flags the exact plant and row, so a problem gets caught before it spreads.
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Explain and stay in control
It shows what it saw and why it flagged it. A grower confirms before any treatment or task, and every detection is logged and auditable.
On-Device AgentCameras across the canopyFind problems earlier, across the whole crop
Operators want to catch a problem while it is one plant, not one row. Continuous on device vision watches the whole crop instead of a sample, so disease, pests and ripeness show up earlier. What that is worth depends on the crop and the setup, and it gets validated in a pilot on your plants.
24/7
Vision across every plant, not sample checks
On device
Images never leave the greenhouse
Earlier
Catches disease and pests before they spread
Whole crop
Full coverage instead of slow scouting rounds
One agent, eyes on every plant
On device computer vision
Cameras with computer vision run right on your hardware in a YOLO style model. They spot wilting leaves, disease, pests and ripe fruit in real time, and the images never leave the greenhouse.
Early disease detection
It catches a lesion or discoloration on a single plant before it spreads to the row, and flags the exact location for staff.
Ripeness and harvest planning
It marks fruit that is ready and estimates volume, so harvest crews and packing get planned against what is actually ripe.
Pest hotspots
It finds where pests appear across the canopy and points scouting and treatment to that spot instead of the whole house.
Explainable detections
Every flag comes with the image and the reason it was raised, so a grower can confirm, dismiss or override before any action.
Fleet across sites
A fleet view compares houses and sites, surfaces where problems appear first and rolls the same detection setup out everywhere from one place.
Watch the vision detection work
See on device computer vision spot wilting, disease and ripe fruit on real greenhouse footage, all running locally with no images leaving the building.
See the detection on your crop
Book a walkthrough of the on device vision detecting disease, pests and ripeness in real time, then run it on your own footage in a pilot.
Request a pilotYour camera images never leave the greenhouse
The cameras and the vision model run entirely on the operator's own hardware. No cloud, no images leaving the building, and detection keeps running even when the internet drops. Every flag is logged with the image and the reason, which matters when the operation answers to owners and food safety auditors.
- 100% local, no cloud dependency
- No camera images ever leave the greenhouse
- Keeps detecting through internet outages
- On device computer vision, YOLO style
- Full audit trail of every detection
- Designed for EU Cyber Resilience Act readiness
Questions greenhouse growers ask
Do the camera images go to the cloud?
No. The cameras and the vision model run on your own hardware, so no image ever leaves the greenhouse. Detection keeps working even during an internet outage.
What can the vision actually detect?
On device computer vision spots wilting leaves, disease symptoms, pests and ripe fruit in real time, and flags the exact plant and row for staff.
Does it replace our scouting staff?
No. It watches the whole crop continuously and points staff to the plants that need attention, so skilled hours go into acting on problems instead of walking every row.
Will it act on its own?
No. It flags a detection with the image and the reason, and a grower confirms before any treatment or task. The team sets the guardrails and can override anything.
How accurate is the detection?
Detection quality depends on the crop, camera setup and lighting. We do not promise a fixed number. It gets validated on your plants in a pilot before you rely on it.
Does it work across several houses or sites?
Yes. A fleet view compares houses and sites, surfaces where problems show up first and rolls the same detection setup out everywhere from one place.
Put a set of eyes on every plant
Start a pilot on one house, run the vision detection on your own crop and footage, and keep the team in control the whole way.
Sources and notes
- 1Detection quality depends on the crop, camera setup and lighting, and gets validated in a pilot on your plants, not promised as a fixed number.