By the numbers
Real results from
real fields.
10K
Acre Potato Farm
500M
Gallons of Water Saved
250K
Gallons of Gasoline Saved
4%
Yield Increase
*From a case study in partnership with AT&T and The Carbon Trust
By the time disease symptoms are visible, the window to act cost-effectively has usually closed. GrowthLab monitors the conditions that create disease pressure and alerts you before the infection takes hold.
Crop protection programs built on fixed schedules apply chemistry whether conditions favour disease or not — wasting inputs when the risk is low, and missing the window when it's high. GrowthLab replaces the calendar with conditions.
Early blight, Botrytis, and other key diseases require specific combinations of temperature, humidity, and crop stage. A calendar can't track those combinations. A model can.
Wireworm emergence, aphid pressure, and other pest thresholds are driven by soil temperature accumulation — not calendar date. Spraying before emergence wastes chemistry. Spraying after cedes ground.
The optimal window for fungicide application — low wind, correct humidity, right canopy temperature — is often 4–8 hours wide. Missing it means either re-spraying or accepting reduced efficacy.
Chemistry applied under sub-optimal conditions degrades faster, penetrates less effectively, and requires re-application — compounding cost without improving protection.
GrowthLab synthesises Beacon sensor data, weather, and GDD accumulation into custom disease and pest models — calibrated to your crops and your specific thresholds.
Canopy temperature, humidity, CO₂, and soil temperature — the conditions that drive disease pressure and pest emergence — stream continuously from every field.
Your early blight model for potatoes. Your Botrytis model for grapes. Your wireworm emergence model for corn. Built in GrowthLab's model builder using your thresholds — no code required.
When cumulative GDD, canopy humidity, and temperature align with your model's thresholds, GrowthLab fires an alert — typically 5–7 days before symptoms appear for key diseases.
Each season of labeled disease events, spray timing records, and outcomes makes your models more accurate. By year three your models are calibrated to your fields in a way regional models never can be.
Fixed spray programs protect on average. GrowthLab protects your fields — with alerts calibrated to the conditions that actually create risk, delivered before the window to act closes.
GrowthLab tracks cumulative GDD against canopy conditions. Early blight alerts on potato typically fire 5–7 days before the first symptoms are visible — giving you a genuine spray window, not a rescue operation.
Wireworm emergence risk, aphid pressure, and other temperature-driven pest thresholds fire when soil GDD accumulation crosses your model's trigger — not when the calendar says to spray.
GrowthLab doesn't just say disease risk is elevated. It identifies the optimal spray window — the 4–8 hour period with the right wind speed, humidity, and canopy temperature for maximum efficacy.
GrowthLab tracks soil temperature and moisture against known efficacy curves for seed treatments. When conditions have likely degraded treatment activity, you get a flag — before seedling protection is compromised.
Which fungicide performed best in cool, wet conditions? Which seed treatment held up longest in wet soils? GrowthLab's outcome-linked records build the evidence base that informs next season's crop protection program.
Targeted spray timing — based on actual risk conditions rather than the calendar — consistently reduces spray events while maintaining or improving disease control. Less chemistry, better protection.
Crop protection intelligence draws primarily on Beacons for real-time canopy and soil conditions, and GrowthLab for the custom models that convert those conditions into spray timing decisions.
Canopy temperature, humidity, CO₂, and soil temperature — the precise conditions that drive disease pressure and pest emergence. Continuous, real-time, from every field.
Explore BeaconsBuild custom disease, pest, and spray timing models for any crop. Your thresholds, your crops, your fields — delivered as alerts before the window closes.
Explore GrowthLabLog every spray application via AIVA voice input. Field, product, rate, timing, and weather — captured automatically and ready for GAP reports, processor docs, and regulatory requirements.
Explore InsightsGrowthLab's early blight model tracks cumulative GDD from emergence against canopy humidity and temperature differentials. Alert fires: 'Early Blight conditions present in Block 3A. Scout within 48 hours. Optimal fungicide window opens Thursday 6–10am.'
During flowering, GrowthLab monitors wind speed and canopy humidity against phenological stage tracked by GDD. When a 6-hour low-wind, high-humidity window is forecast, the spray alert fires with the specific timing window to target.
Soil temperature accumulation at root zone depth crosses the wireworm emergence threshold. GrowthLab alerts: 'Emergence risk elevated in Fields 4–6. In-furrow treatment activity window likely closing.' Grower responds before visible damage.
Soil moisture and temperature tracking shows conditions in two fields have likely degraded fungicide seed treatment activity below effective thresholds. Alert fires before full emergence — allowing a rescue treatment decision before seedling losses occur.
*From a case study in partnership with AT&T and The Carbon Trust
Talk to our team about building your first GrowthLab crop protection model. Most are configured and running within a single growing season.