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WA Farm Data Sharing

Helping growers make informed lime application decisions using their own data
Project complete

In Partnership With:

WA Department of Primary Industries and Regional Development
Curtin University of Technology
Grower Group Alliance
AxisTech

WA Farm Data Sharing

The Food Agility project work helped shift DPIRD’s digital agriculture capability from fragmented farm, crop and climate data toward practical, scalable decision-support tools. A key impact was the creation of a stronger partnership ecosystem across government, research and industry, bringing together DPIRD, (internal research groups), Grower Group Alliance, AxisTech.

Balwinder Singh, DPIRD WA

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⬇️ ️Download project explainer (.pdf)

The Challenge

Western Australian grain growers collect valuable information through soil testing, machinery, farm management platforms, spreadsheets and paddock records. However, this data is often held across separate systems and in different formats, making it difficult to bring together when making significant farm investment decisions.

In parallel, research organisations have developed decision-support calculator tools that while they contain complex methodology often require manual data entry and generate single, whole farm level outputs.

The Solution

The WA Farm Data Sharing Project explored how growers could securely reuse their existing farm data, share it with a relevant research organisation and in return receive useful, farm-specific decision support.

Soil ameliorating lime application decision making was selected as the first use case because soil acidity is a significant and costly constraint for Western Australian grain businesses, and WA’s DPIRD has an advanced, but single use, liming calculator in iLime.

At the centre of the project was the Lime Enterprise Analysis Pipeline, known as LEAP.

LEAP extended DPIRD’s existing iLime and Optlime modelling from a largely manual, single-paddock process into a whole-farm optimisation framework.

The framework can process multiple paddocks, soil sampling locations, crop rotations, yield and price assumptions and liming strategies over a 20-year period. Monte Carlo simulations are used generate a broad range of possible outcomes rather than one fixed prediction, with associated likelihood.

Impact

  • Creation of a Liming Scenario Tool that brings together farm data, soil information, and science-backed modelling
  • Demonstration of secure data collection from multiple sources  

Project Updates

October 2026 - Case Study: WA Data Exchange

September 2026 - Final Report: WA Farm Data Sharing

February 2023 - FACRC Research Symposium: A/Prof Julia Easton, Curtin University

October 2021 - FACRC Research Symposium: A/Prof Adam Sparks, DPIRD WA

July 2021 - Grower Group Alliance: Project Updates

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