Smart Field Intelligence

See every field. Understand every change.

IrrigTech, an engineering project by Pak-EL LAB, is developing one connected agricultural platform that combines aerial crop scanning, field sensors, irrigation intelligence, and farm management software. A few hardware items exist as prototypes quoted through a project consultation; the rest is planned — see what's built vs. planned.

The ecosystem

Everything feeds one field record

Concept illustrationConcept illustration of a multispectral field-scanning drone over a crop field

Drone

Aerial field scanning

Concept illustrationConcept illustration of a solar-powered field sensor node installed among crop rows

Field Nodes

Distributed sensors

Water splashing, representing flow and irrigation

Water

Irrigation & water use

Young crop seedling with visible roots growing in soil

Soil

Moisture, EC, temp

Illustrative

AI-Assisted Analysis

Decision support

DemoSample IrrigTech dashboard screen showing demo field data, not live readings

Software

Dashboard & field record

See the full platform architecture →

What IrrigTech is designed to monitor

Signals worth a closer look

AI-assisted detection and anomaly flagging — decision support for your team, not an automatic diagnosis.

Concept illustrationConcept illustration of field sensors and drone imagery feeding the signals IrrigTech monitors
01

Crop Health In development

Drone imagery is designed to flag suspicious crop patterns and abnormal stress for you to verify on the ground.

02

Nutrient Stress In development

Planned: potential nutrient-deficiency patterns identified from imagery and sensor data together — lab or field verification recommended.

03

Crop Growth In development

Planned: emergence, canopy development, and change over time, tracked scan to scan.

04

Water Stress Prototype

Planned: under- and over-irrigated areas identified from soil moisture data by zone.

05

Soil Condition Prototype

Planned: moisture, temperature, and EC from field sensors, with spatial variability across the field.

Hardware Prototype

Field Scanner Drone

High-resolution crop intelligence — repeatable field scans, compared scan over scan; autonomous operation is a design target.

  • RGB field imaging
  • Multispectral mapping
  • Repeatable field scans
  • Georeferenced crop imagery
  • Planned: automatic mission planning
  • Historical comparison
RGB
Crop Health
Water Stress
Field Change

See the full drone workflow →

Hardware Prototype

Field nodes & smart irrigation

Five prototype-stage devices, designed to be sealed and solar-friendly, covering soil, weather, and water.

Soil Weather Water
Concept illustration of a solar-powered field sensor node among crop rows, not the finished productConcept illustration
01

IoT Sensor Node

Planned multi-probe hub for soil moisture, EC, pH, and air temperature/humidity.

Spec sheet →
Concept illustration of a solar-powered field sensor node among crop rows, not the finished productConcept illustration
02

Soil Moisture Sensor

A dedicated probe for placing many moisture points across one field.

Spec sheet →
Clean photo pending
03

Smart Valve Controller

Designed to open and close irrigation valves when a threshold is crossed.

Spec sheet →
Clean photo pending
04

Pump Controller

Starts and stops your pump remotely; dry-run and overload protection are design features, not yet field-verified.

Spec sheet →
Clean photo pending
05

Field Gateway

Designed to collect every node on the farm and push it to your dashboard over 4G or WiFi.

Spec sheet →

See all hardware, including the drone →

Software Demo

IrrigTech Farm Management Software

One dashboard for field status and history; alerts are planned.

app.irrigtech.com/farm
SAMPLE · FIELD 02 · NORTH BLOCK Demo data
Moisture64%
Nitrogen38 ppm
Phosphorus19 ppm
Potassium71 ppm
Soil pH6.4
Alert — Phosphorus below threshold

See what's available vs. in development →

Automation

From scheduled scan to field map

01

Schedule

02

Autonomous scan (design target)

03

Data sync

04

AI-assisted analysis

05

Field map

06

Field record

See the complete workflow →

Digital field record

One history, all season

Crop seedling with visible roots growing in soil, representing a field's season-long record

Field established

Planned inputs: boundary, crop, and planting date.

Scans 01, 02, 03…

Planned: compared automatically against the baseline.

Water, soil & treatments

Planned: logged as they happen.

Harvest / yield

Planned: closes the season and informs the next one.

Working with IrrigTech

How deployment works

01

Assessment

02

System design

03

Limited deployment

04

Results review

05

Farm-wide rollout

See how a first project starts →

Benefits

Why growers work with IrrigTech

Earlier problem detection

Designed to flag suspicious changes across a field before they're visible from the ground.

Water-use insight

Designed to use sensor and irrigation data to inform when and how much to water.

Better field visibility

Designed to show spatial differences across the whole field, not just where you happened to walk.

Data-driven decisions

Planned: historical and current field data side by side.

Targeted attention

Designed to direct scouting and treatment to the zones that actually need it.

Field performance tracking

Planned: see how zones perform season to season.

One digital record

Planned: scans, sensor data, and treatments in a single field history.

Scalable platform

Designed for a single field or a multi-farm operation.

Honest positioning

Where each part stands, and what's ahead

Prototype

Monitor

Field sensors, water monitoring, and farm input records.

Prototype

Scan

Drone-based field mapping and crop imagery.

In development

Analyze

AI-assisted crop and stress analytics.

In development

Predict

Trend and yield intelligence, where validated.

Planned

Automate

Expanded irrigation and treatment automation.

Read the full platform positioning →

FAQ

Common questions

Is the Field Scanner Drone available to buy today?

No — it's currently a prototype. Field sensors, valve and pump controllers, and the field gateway are IrrigTech's prototype hardware, quoted through a project consultation.

What does "AI-assisted analysis" actually mean?

It means imagery and sensor data are processed to flag anomalies and patterns worth a closer look — decision support, not an automatic diagnosis. Ground verification is recommended before acting on any flagged area.

Can the drone diagnose plant disease or exact nutrient levels?

No. RGB, multispectral, and thermal imagery can indicate stress patterns worth investigating, but they can't reliably diagnose a specific disease or measure exact nutrient concentrations on their own.

Does IrrigTech work without reliable internet in the field?

Field nodes and gateways are designed to store readings locally and forward them once a connection is available, rather than losing data during a signal gap.

What happens if I get an automation threshold wrong?

Automated irrigation is designed to act only on the thresholds you configure, and is not yet validated in the field. You can review and adjust them at any time; manual control is planned as a design feature.

Ready to see this on your fields?

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