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Why TurfLogic

Better data.
Better golf.

Golf course management has relied on observation for decades. TurfLogic adds objective, continuous intelligence — finding problems before they surface.

Our approach
The Platform

One picture.
Complete clarity.

Every instrument TurfLogic uses feeds a single outcome: an objective, continuously updated picture of your course's health.

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Featured Courses

Real courses.
Real data.

Every club in the TurfLogic network is a live proof of concept — stress found early, interventions targeted, turf health trending upward.

Learn Why
The Platform
Featured Courses
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Learn Why

The Science
of Stress.

Turf stress begins where you can't see it. Understanding how stress develops — and how multispectral imaging finds it — is the foundation of everything TurfLogic does.

What Is Turf Stress?

Stress happens
beneath the surface.

Turf stress is any condition that impairs normal plant function — preventing your grass from absorbing water, processing nutrients, or recovering from traffic. The damage begins at the cellular level, often weeks before any visible symptom appears.

By the time your eye catches a problem — discolouration, thinning, wear — you're already dealing with advanced stress. The window for low-cost intervention has usually passed.

The Three Main Causes
Cause 01
Compaction
Foot traffic, equipment weight, and clay soils compress the root zone — restricting oxygen, water, and nutrient movement. One of the most common silent stressors on golf courses.
Cause 02
Disease Pressure
Fungal and bacterial pathogens exploit stress windows — they colonise weakened tissue before symptoms appear. Warm temperatures and moisture are the classic triggers.
Cause 03
Irrigation Failure
Blocked heads, dry spots, and coverage gaps starve turf of moisture in the zones that need it most. Invisible without data. Expensive without early detection.
How We Find It

Multispectral imaging.
Cellular precision.

The human eye sees three wavelengths of light. TurfLogic's drone sensors capture data across seven or more — including near-infrared bands that reveal photosynthetic activity at the cellular level. The result is stress detection weeks ahead of any visible symptom.

01

The drone captures

A precision flight over your course collects multispectral imagery across every surface — greens, fairways, tee boxes, rough — in a single survey pass.

02

The data processes

Raw multispectral bands are analysed using NDVI and related indices — mathematical models that translate wavelength reflectance into turf health signals, zone by zone.

03

The map reveals

A four-colour stress map is generated — categorising every area of your course by health status. Healthy turf, mild stress, moderate stress, and severe stress are visually distinct and GPS-referenced.

04

Your team acts

Stress maps are delivered to TurfScore.ai and to field tablets — so your team knows exactly where to go, what to look for, and what the data suggests they do about it.