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    CSIRO farm trials on low-frequency mining links: key takeaways for engineers

    March 16, 2026|

    Reviewed by Joe Ashwell

    CSIRO farm trials on low-frequency mining links: key takeaways for engineers

    First reported on Australian Mining

    30 Second Briefing

    CSIRO is running farm-based trials to test low-frequency wireless signals for use in underground and remote mining connectivity, targeting conditions where conventional Wi-Fi and LTE struggle with rock mass attenuation and long drifts. Researchers are assessing signal penetration through soil and vegetation, antenna configurations, and power requirements to understand how similar systems could maintain links to autonomous trucks and sensors in deep headings and block caves. Early results will inform network design choices for mines seeking robust, low-bandwidth control and monitoring channels alongside existing high-frequency systems.

    Technical Brief

    • Outcomes are intended to inform redundancy planning and fail‑safe communication layers for autonomous and remote mining systems.

    Our Take

    CSIRO’s work on low‑frequency connectivity in Australia sits alongside its petalite and low‑emissions mining research in our database, signalling that the organisation is building a vertically integrated digital-and-processing toolkit rather than treating communications as a standalone IT issue.

    Across the 1099 Mining stories in our coverage, very few research-tagged pieces deal with sub‑GHz or low‑frequency networks, so these farm trials could give Australian operators an early playbook for linking remote sensors and equipment without relying on dense 5G or Wi‑Fi infrastructure.

    For Australian Mining readers, this kind of CSIRO-led connectivity research typically precedes pilot deployments with METS suppliers, so practitioners looking at autonomous or remote operations may want to track which vendors align early with CSIRO’s preferred low‑frequency architectures.

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    Prepared by collating external sources, AI-assisted tools, and Geomechanics.io’s proprietary mining database, then reviewed for technical accuracy & edited by our geotechnical team.

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