turfcoach
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Grounded in agronomy.
Driven by understanding.

A pitch is a living system. We bring agronomy, data and technology together to understand how it changes—and help the people caring for it make informed decisions.

Explore the papers
A lifted section of turf showing the soil and fibres beneath the grass.

The whole system.
Right down to the roots.

What happens at the surface starts with the relationships beneath it. Plant health, the rootzone, weather and use all belong in the same conversation.

Our work brings agronomic expertise into software. The papers below were developed with our agronomy PhD, exploring the mechanisms behind the questions grounds teams face.

Read the research
The plant
Growth, nutrition and disease. Understanding turf means looking at how the grass responds to its environment and the work carried out on it.
The rootzone
Water, air and organic matter. Soil conditions give context to moisture readings, drainage and the behaviour of the playing surface.
The growing environment
Light, temperature and rainfall. Local conditions and stadium shade help explain why different areas of a pitch can behave differently.

Intelligence starts
with understanding.

A reading is a starting point. Understanding the pitch means connecting it with the work, the conditions and the processes behind it.

Does this pitch
need water?

One practical question. More than one source of information.

Taking measurements on the pitch with connected probes and recording the readings by hand

Follow one decision.

Compare the readings. Measured
Look at moisture before and after the work, at the measured locations.
Record the irrigation. Recorded
Keep the activity with its pitch and time.
Consider the demand. Modelled
Read estimated water loss with the weather and your observations.

After irrigation,
what changes?

Measurements show the sampled conditions. The model adds an estimate of a process. Your team brings both into the next decision.

Read the three together before deciding on the next application.

AI connects the data. It helps find relationships across measurements, conditions and recorded work.

Agronomy gives it meaning. Models describe the processes behind growth, water demand and disease risk.

Testing the playing surface together on a football pitch Turfgrass research samples growing under controlled lighting

Know what is measured.
Understand what is modelled.

A reading records a value at a place and time. A model estimates a process from the information available. Both become more useful when you can examine their context.

That distinction shapes how we talk about the science: explain the method, consider the conditions and connect the findings to practical questions. The papers below are a place to go deeper.

Explore the questions
beneath the surface.

Our papers bring agronomy expertise to practical questions about turf, measurements and playing conditions. Use these papers as background on the underlying science. Model estimates should be considered alongside field measurements and observations.

Bring your questions.
Start with your pitch.

See how measurements, growth information and the team’s observations come together in turfcoach.

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