Nicole Dimos (SPAA)
Karen Haigh (SFS)
Andrew Whitlock (Precision Agriculture)
|Contributor||Society of Precision Agriculture Australia|
To test the accuracy of ryegrass mapping using satellite imagery.
Picking out the ryegrass from the cereal crops in spring did not prove to be effective.The ryegrass tiller count data was converted into a contoured map and divided into three zones for each paddock. Once again we compared the manually drawn zones and found a relatively good correlation but not good enough to mplement patch ryegrass management with confidence. A dual boom A more detailed analysis of previous yield maps when farmers determine their ryegrass patches would certainly improve the accuracy of their zone drawings. Any farmer wanting to implement patch ryegrass management should also consider btaining imagery at a time of the year when ryegrass is more visible such as prior to sowing or around crop establishment as these maps would more accurately define the weed patches with less crop effect.
|Lead research organisation||
Society of Precision Agriculture Australia
|Host research organisation||N/A|
|Trial funding source||GRDC SPA000010|
This project was funded by the Grains Research and Development Corporation (GRDC)
|Other trial partners||George Burdett (farmer/owner of site)|
|Trial type||Precision agriculture|
|Trial design||Not applicable|
|Sow date||Not specified|
|Harvest date||Not specified|
|Plot size||Not specified|
|Plot replication||Not specified|
SILO weather estimates sourced from https://www.longpaddock.qld.gov.au/silo/
Jeffrey, S.J., Carter, J.O., Moodie, K.B. and Beswick, A.R. (2001). Using spatial interpolation to construct a comprehensive archive of Australian climate data , Environmental Modelling and Software, Vol 16/4, pp 309-330. DOI: 10.1016/S1364-8152(01)00008-1.