Skip to main navigation Skip to search Skip to main content

Precision agriculture for pasture, rangeland and livestock systems

  • Mark Trotter

    Research output: Contribution to journalConference articlepeer-review

    Abstract

    Precision agriculture tools have potential to increase productivity and efficiency of grazing systems. Several soil sensors, initially employed in the cropping industry are available to map variability in pasture soils including electromagnetic induction and gamma ray spectrometry. Remote sensing tools for pasture assessment (quantity and quality) have been available for many years however recent application of proximal active optical sensors for pastures offer options for increased utility, both as sensors in their own right as well as for calibrating remote sensing products. Recent advances in spatial monitoring technologies for livestock offer new opportunities to quantify the spatial heterogeneity in pasture utilisation by animals. Integrating these technologies holds great potential for resource management tools such as variable rate fertiliser management, and improving livestock productivity and welfare. This paper briefly reviews current and emerging technologies for monitoring the soil, plant and animal components of a grazing system.
    Original languageEnglish
    Pages (from-to)1-6
    JournalFood Security from Sustainable Agriculture: Proceedings of the 15th Australian Agronomy Conference
    Publication statusPublished - 2010
    EventAAC 2010: 15th Australian Agronomy Conference: Food Security from Sustainable Agriculture - Lincoln, New Zealand
    Duration: 15 Nov 201018 Nov 2010

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 2 - Zero Hunger
      SDG 2 Zero Hunger

    Keywords

    • Agricultural Spatial Analysis and Modelling

    Fingerprint

    Dive into the research topics of 'Precision agriculture for pasture, rangeland and livestock systems'. Together they form a unique fingerprint.

    Cite this