Industries
Controlled Environment Agriculture (Greenhouses)
Continuous water, climate and energy monitoring for greenhouses and indoor growing operations—because the growing environment determines the product.
In controlled-environment agriculture, utilities are part of the production recipe. Irrigation, lighting, heating and dehumidification interact continuously, while monthly totals hide how one system affects another. Permanent monitoring makes those relationships measurable and can alert your team to an overnight fault when it occurs—not the next morning.
Climate is often the first monitoring priority because crop response can begin long before the next manual round. Wireless temperature and humidity sensors can cover distant zones without extensive cabling and report through a central gateway. Alerts above and below the operating range let your team respond when conditions drift, rather than discovering the event the following morning.
Irrigation is another priority. A zone may follow the programmed recipe while a sticking solenoid or blocked emitter changes what is actually delivered. Zone-level flow measurement compares intended and delivered volume, supporting water accounting, fertigation verification and early identification of valve or distribution problems.
Energy use supports both climate and irrigation. Lighting and dehumidification are often major electrical loads, and their schedules may create avoidable demand peaks when they overlap. Interval electricity and gas data shows when those peaks occur and whether heating baseload or equipment cycling has begun to change.
Controlled Environment Agriculture (Greenhouses)
Photo slot · industry-agriculture — pending the photography cull (§K.3 #27).
What we typically measure in this sector.
Nine monitoring categories appear repeatedly across our projects. The items below are the ones most relevant to this sector, with links to examples of what each has revealed.
- 01
Water
At typical industrial water and sewer rates, a continuous 10 L/min leak can cost more than $15,000 per year.
Submetering helps isolate the source, and monthly reviews keep the corrective action moving.
- 02
Electricity
Demand charges can represent 30–40% of an industrial electricity bill.
Interval data shows when peaks occur and whether load shifting, peak shaving, or rescheduling offers the best return.
- 03
Natural Gas
Unnoticed operational changes quietly inflate heating bills 10–20%.
A monthly bill hides the cause; interval data shows when the baseload begins to rise.
- 08
Temperature & Humidity
A manual 6 a.m. round takes time and captures only one moment.
Continuous monitoring records temperature, humidity and humidex around the clock — and lets you check them from your desk, phone, or lunchroom TV.
- 09
Process Monitoring
Operator experience identifies the question. Process data gives the team evidence to act on.
Track cycle counts, runtime, firing rate, and product temperature—the operating details a utility bill cannot show.
The money facts are §D.7’s and carry [TOM-REVIEW] before launch — §K.2 #15.
What the data looks like.
Representative operational data, not a client result. The shapes are real; the factory is not.
| Interval | Zone 3 air (°C) |
|---|---|
| 00:00 | 21.5 |
| 00:30 | 21.3 |
| 01:00 | 21.4 |
| 01:30 | 21.3 |
| 02:00 | 21.3 |
| 02:30 | 21.3 |
| 03:00 | 21.3 |
| 03:30 | 18.8 |
| 04:00 | 16.8 |
| 04:30 | 16.1 |
| 05:00 | 16.8 |
| 05:30 | 18.7 |
| 06:00 | 21.4 |
| 06:30 | 21.6 |
| 07:00 | 21.6 |
| 07:30 | 21.8 |
| 08:00 | 22.3 |
| 08:30 | 22.9 |
| 09:00 | 23.3 |
| 09:30 | 23.8 |
| 10:00 | 24.2 |
| 10:30 | 24.7 |
| 11:00 | 25.0 |
| 11:30 | 25.2 |
| 12:00 | 25.1 |
| 12:30 | 25.1 |
| 13:00 | 25.2 |
| 13:30 | 25.1 |
| 14:00 | 25.0 |
| 14:30 | 25.2 |
| 15:00 | 25.0 |
| 15:30 | 25.2 |
| 16:00 | 25.1 |
| 16:30 | 25.0 |
| 17:00 | 25.2 |
| 17:30 | 24.6 |
| 18:00 | 24.3 |
| 18:30 | 23.7 |
| 19:00 | 23.4 |
| 19:30 | 23.0 |
| 20:00 | 22.5 |
| 20:30 | 22.1 |
| 21:00 | 21.6 |
| 21:30 | 21.4 |
| 22:00 | 21.4 |
| 22:30 | 21.5 |
| 23:00 | 21.6 |
| 23:30 | 21.5 |
Representative sets are flagged provenance: representative in src/data/widgets/ and are hot-swappable for the real sets (G6) with no markup change (§K.3 #28).
What it found in factories like yours.
Illustrative scenario
temperature-humidity
Zone temperature drift detected overnight
A cold storage operation
An overnight refrigeration fault was detected before stored-product temperature was affected.
Illustrative scenario
cooling-towers · energy
Refrigeration condenser fouling detection
A food storage and processing site
Head pressure rose while refrigeration load remained constant, revealing condenser fouling and quantifying its energy cost.
Illustrative scenario
silo-level
Silo-level alert before the reorder threshold
An ingredient handling operation
Non-contact radar provides continuous level readings and a configurable low-level alert before inventory reaches the reorder deadline.
Book a site walk.
We spend a few hours on your floor with the people who run it, and by the end of that walk we can tell you what we saw, what we would meter first, and roughly what it is worth.
or call 1-833-QUANTFY (1-833-782-6839)
