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GNSS & GIS in Australian Agriculture

GNSS & GIS in Australian Agriculture. Andrew Whitlock andrew@precisionagriculture.com.au www.precisionagriculture.com.au. Shifting Perceptions. Field traffic is usually Uncontrolled. Understanding Soil Health. Sustainable Food Production. Machine Guidance “Auto-steer”. Radio. Rover.

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GNSS & GIS in Australian Agriculture

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  1. GNSS & GIS in Australian Agriculture Andrew Whitlock andrew@precisionagriculture.com.au www.precisionagriculture.com.au

  2. Shifting Perceptions

  3. Field traffic is usually Uncontrolled Understanding Soil Health Sustainable Food Production

  4. Machine Guidance “Auto-steer” Radio Rover Base station

  5. GPS Guidance for Inter row sowing

  6. Shielded spraying using 40% less chemical

  7. 50% banding Why we need precision!50% less chemical Photo: Whitlock

  8. Section boom control

  9. Controlled Traffic Farming 11% for machinery 89% for crops Photo: Roger Todd

  10. Improve Soil Health • Increase Production • Build resilience against drought • Reduce fuel use by 50%

  11. CORS Networks

  12. Connectivity in Cab • Remote diagnostic analysis • Rapid data transfer - cloud • Inter-vehicle communication • Mobile office, e-commerce etc…

  13. Wireless Vehicle Control

  14. Why is this important?

  15. Point Data

  16. RTK derived topography map

  17. Ponding Analysis

  18. Plant Biomass Mapping

  19. High Biomass Low Biomass

  20. Not always fun???

  21. “NDVI Farm Maps are a great resource to identify problem areas not necessarily seen by the naked eye”

  22. Weed Seekers

  23. Soil Data Collection Photo: FSA

  24. ElectroMagnetics (EM) Soil Maps – EM38

  25. Satellite Imagery Plant Biomass Index map

  26. Reduced Fertiliser use by 25%

  27. Satellite Imagery

  28. Yield Stability Production Zones

  29. Variable Rate Applications

  30. Heading towards live cattle tracking roving (livestock) sensors

  31. …hosted on a web platform

  32. Livestock tracking toimprove pasture use ‘Sundown Valley’ Kingstown

  33. Accurate Job Data Records • All data is stored in an intuitive explorer view, in a hierarchy system with the following levels: • Project • Client • Farm • Paddock • Crop • Operation

  34. GM Mapping 1.1t/ha $-16/ha $595/ha 3.5t/ha

  35. Elevation Urea Trial

  36. On-Farm Research

  37. SMART Farming • Machine GPS guidance • Information Rich • Precise input placement • Consistent spatial footprint • Accurate field operations mapping • Max production with less inputs • Economic, Environmental, Social

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