AI For Precision Agriculture
Get The Most Out Of Your Cultivation Facility
Gro iQ is an environmental systems monitoring and analytics platform for growers that eliminates the cultivation guesswork, so they can standardize cultivation and scale production.


AI For Precision AG
Understand how your grow facility operates with Gro iQ
Ecosystem Sensors + Powerful Analytics
1 Grow-Cycle ROI
Use Cases
Scientifically model environmental systems, facility design & cultivation methods to determine production capacity
Room Average
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Ecosystem average Temp, RH, VPD are close to target
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Multi-tier data shows 21% spread between min and max of different parameters
​
Time in Target
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Multi-tier Time in Target analytics show parameters in target <10% of time during lights on
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Reduce ranges thru HVAC timing controls
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Yield improvement 10%
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$1M annualized for 10k ft2 canopy
Room Average
-
Ecosystem average Temp, RH, VPD are close to target
-
Multi-tier data shows 21% spread between min and max of different parameters
​
Time in Target
-
Multi-tier Time in Target analytics show parameters in target <10% of time during lights on
-
Reduce ranges thru HVAC timing controls
-
Yield improvement 10%
-
$1M annualized for 10k ft2 canopy
Room Average
-
Ecosystem average Temp, RH, VPD are close to target
-
Multi-tier data shows 21% spread between min and max of different parameters
​
Time in Target
-
Multi-tier Time in Target analytics show parameters in target <10% of time during lights on
-
Reduce ranges thru HVAC timing controls
-
Yield improvement 10%
-
$1M annualized for 10k ft2 canopy
MicroClimates
Before Gro iQ
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Cultivation team suspected they had micro-climate issues, but no data to assess
With Gro iQ
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Visualize Microclimates by Location, Duration & Height
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Low-cost airflow modifications to remediate & track
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Compare multiple rooms to discover unique microclimates in each room
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Yield improvement 15%
$1.5M annualized for 10k ft2 canopy
Time In Target
Room Average
-
Ecosystem average Temp, RH, VPD are close to target
-
Multi-tier data shows 21% spread between min and max of different parameters
​
Time in Target
-
Multi-tier Time in Target analytics show parameters in target <10% of time during lights on
-
Reduce ranges thru HVAC timing controls
-
Yield improvement 10%
-
$1M annualized for 10k ft2 canopy
DLI / Lighting
Understand what your cultivation facility can produce - prior to buildout
Before Gro iQ
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New cultivation team took over operations with existing infrastructure (lights, HVAC, Dehu etc.)
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Team thought they were hitting PPFD & DLI targets
With Gro iQ
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Current lights ~20% below PPFD and DLI targets. Leverage light measurement + data to inform:
- Quantification of PPFD and DLI Gap
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Gap in yield vs. target
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Gap in revenue vs. target
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Opportunity for supplemental or retrofit
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Each single % point under target PPFD/DLI represents a 1% percent yield loss
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Yield improvement 20%
$2M annualized for 10k ft2 canopy
Partners

Founded in 1964, CEL Group of Companies (CEL), comprises Conviron Canada, Conviron USA, Conviron Europe and Conviron Australia together forming the world’s leading designer and supplier of controlled environments for plant production and research. CEL Group also includes Argus Controls, one of the leading suppliers of plant-centric environmental controls and automation systems used in greenhouse and indoor growing facilities. Together, Conviron and Argus provide technologies to our clients in the plant science research, commercial horticulture, and plant-derived pharmaceutical industries in over 90 countries around the world.
Founding Member of the Sustainable Cannabis Coalition
The Sustainable Cannabis Coalition is made of experts from companies representing each major link in the cannabis cultivation, manufacturing and distribution supply chain. Each company is providing data driven blogs and podcasts employing sustainability use cases to help inform the cannabis market.
About Us
We're a senior team of industrial horticulturalists and data nerds with a passion for helping licensed producers harness the power of their cultivation data to deliver improved profits. The team has unparalleled experience in employing data from grow facility systems and ecosystems to provide standardized cultivation and cost controls.