Solutions · Irrigation & Input Decisions

Stop irrigating
on instinct.

Every irrigation decision made without root-zone data is a guess. Soiltech Beacons measure what's actually happening in the soil. GrowthLab tells you what to do about it — before you've over-applied or under-watered.

500M
Gallons of water saved
10K-acre potato case study
4%
Yield increase
Same operation, less water
250K
Gallons of gasoline saved
Fewer unnecessary field runs

The cost of not
knowing your soil.

Irrigation and input decisions made on schedule — rather than on soil conditions — waste water, waste inputs, and often still miss the optimal window. The tools to fix this have existed in research for decades. Soiltech puts them in your pocket.

💧
Over-irrigation leaches nutrients

Water applied beyond field capacity doesn't benefit the crop — it carries nutrients below the root zone and increases runoff risk.

🌵
Under-irrigation stresses at critical stages

Missing the irrigation window at tuber initiation, bulb fill, or grain fill causes yield loss that no late-season water can recover.

💰
Input cost without verified return

Fertiliser and crop protection applied without field-level soil context routinely underperforms or is wasted entirely.

🔁
Scheduling replaces sensing

Calendar-based irrigation ignores the actual variability between fields, soil types, and crop stages on your specific farm.

From root zone
to irrigation decision.

Beacons measure what's in the ground. GrowthLab models what the crop needs next. Together they close the gap between what growers guess and what they should know.

01
Beacons measure root zone conditions

Soil moisture at multiple depths, temperature, and canopy conditions — streaming continuously from every field. Your soil, right now.

Sense
02
GrowthLab calculates crop demand

ET demand, crop growth stage via GDD, and root zone moisture deficit synthesised into a single irrigation need indicator — calibrated to your crop.

Model
03
Alert fires before stress sets in

When soil moisture drops below your threshold or ET demand outpaces supply, GrowthLab fires an alert with a recommendation — how much, which blocks, and the window you have.

Alert
04
Outcomes verify the model

Post-season yield and quality records link back to every irrigation decision. Each season the model learns what worked — and sharpens.

Learn

Irrigation decisions
grounded in data.

Not a dashboard showing soil moisture. A system that tells you what to do with it — before the crop tells you it was wrong.

01
💧
Know before the crop shows stress

Visual stress symptoms appear 24–72 hours after damage is done. Beacon soil moisture alerts fire before the threshold is crossed — giving you time to act, not react.

02
🎯
Field-specific, not regional averages

ET models built on regional weather stations miss the variability between your sandy loam and heavier ground. Beacons measure actual moisture deficit in each field.

03
💰
Justify every input dollar

GrowthLab tracks fertiliser and crop protection against soil conditions and outcomes. If an input isn't performing, you'll know this season — not after harvest.

04
📉
Cut water use without cutting yield

Growers in our case study cut water application meaningfully with no yield loss — because they stopped filling already-adequate soil and started responding to actual deficit.

05
⏱️
Fewer unnecessary field runs

When you know Block 4A is fine and Block 2B needs water, equipment goes only to Block 2B. That's the 250K gallons of gasoline saved in our case study.

06
🔄
Models that improve every season

Each season of labeled irrigation decisions and yield outcomes makes GrowthLab more accurate. By year three you have intelligence a competitor can't replicate.

Beacons sense it.
GrowthLab decides it.

Irrigation and input optimisation draws on two layers of the Soiltech Agronomy Suite — the hardware that measures reality and the intelligence layer that tells you what to do about it.

📡
Hardware Foundation
Soiltech Beacons

Soil moisture at root zone depth, canopy temperature, humidity, and CO₂ — streaming continuously from every field. The data foundation that replaces guesswork with measurement.

Explore Beacons
📋
Record Layer
Soiltech Insights

Log irrigation events and input applications via AIVA voice input. Every application timestamped and field-associated — building the record GrowthLab learns from.

Explore Insights
🧠
Intelligence Layer
GrowthLab

Custom irrigation and input performance models calibrated to your crops, soils, and thresholds. Fires alerts before the window closes.

Explore GrowthLab

What this looks like
in the field.

01
Potato irrigation decision — 10,000 acres

Root zone moisture in Blocks 1–4 trending toward deficit while Blocks 5–8 remain adequate. GrowthLab fires an alert for Blocks 1–4 only — with the estimated application volume to return to optimal range before the next hot spell.

Beacons + GrowthLab · Potato
02
Onion bulbing stage — critical window

GrowthLab tracks GDD from transplant. At bulbing initiation, ET demand triggers an elevated-priority irrigation alert — because water stress at this stage compresses bulb size in a way no late-season application corrects.

GrowthLab · Onion
03
Fungicide timing — spray window

Soil moisture, temperature, and canopy humidity combine in a GrowthLab model to identify the optimal spray window for fungicide uptake and minimum evaporation loss.

GrowthLab · Crop Protection
04
Input performance review — season end

GrowthLab links every fertiliser application to soil conditions at time of application and yield outcomes. Applications under sub-optimal soil temperature show reduced ROI — informing next season's timing.

GrowthLab + Insights · Agronomy

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

Ready to irrigate
from data, not instinct?

Most growers are deploying Beacons and generating field-specific irrigation intelligence within a single season. Talk to our team about your operation.