RICE

Report: Real-time remote sensing-based monitoring for the rice industry

A hand holds a ripe rice stalk in sunlight. Text overlay: Report: Real-time remote sensing-based monitoring for the rice industry, with AgriFutures Rice logo and website on a yellow background.
  • 73 pages

  • Published: 19 May 2026

  • Author(s): Brinkhoff, J., McGavin, S., Jha, S., Groat, M.

  • ISBN: 978-1-76053-627-5

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The Australian rice industry is a world leader in land and water productivity and has low emissions intensity. However, it faces growing pressure from variable water supply, changing weather and the need to measure and reduce emissions. In addition, growers must compete with the returns from other crops.

As a result, the AgriFutures Rice Program strategic plan (2021-2026) set a clear water productivity target of 1.5 tonnes per megalitre. Achieving this target requires progress across agronomy, breeding, technology use and farming systems. This project directly responded by developing practical decision-support tools for real-time rice crop monitoring.

The tools use satellite imagery and weather-based models and are built on decades of Australian rice research. Importantly, they draw on proven knowledge of water and nitrogen management, variety performance, crop growth stages and yield drivers. Using this foundation, the project trained accurate machine learning models with data collected over four rice seasons from 2022 to 2025.

Data came from commercial fields, NSW DPIRD trials, Sentinel‑2 satellites and SunRice production records. Together, these sources supported reliable paddock-level predictions of crop growth, nitrogen uptake, grain moisture and yield.

Finally, the insights were delivered through daily online dashboards for growers and agronomists. Consequently, users made better and more timely decisions, improving productivity and efficiency. With more than 85% adoption in the Riverina, the tools also support industry planning, emissions reporting and long-term sustainability.