Using crop sensors as an aid for nitrogen decisions

2010
CC BY 4.0

Research organisaton
Funding sources

Trial details

Researcher(s) N/A
Year(s) 2010
Contributor Hart Field Site Group
Trial location(s) , SA
, SA
Kybunga, SA
Using crop sensors as an aid for nitrogen decisions locations
Aims

To report on the use of crop sensors as an aid for nitrogen decisions.

Key messages
  • Crop sensors are a useful tool for measuring and mapping the growth of crops, however their limitations need to be recognised.
  • Poorer crop growth and lower sensor NDVI values can indicate lower N availability within a paddock, but this should be ground truthed, rather than assumed as there are many potential constraints to crop growth that could also be the cause.
  • The use of an N-rich strip in conjunction with crop sensors can provide an indication of the likely grain yield response to N.
  • The N rate calculation still requires a yield prediction – a potential fit with APSIM / Yield Prophet.
  • Utilising predefined paddock zones created from historical yield and/or soil data may help to refine the use of crop sensors for variable rate applications.
Lead research organisation Hart Field Site Group
Host research organisation N/A
Trial funding source GRDC SFS00017
Trial funding source Caring for our Country
Related program N/A
Acknowledgments N/A
Other trial partners Not specified
Download the trial report to view additional trial information

Method

Crop type None: No crop specified
Treatment type(s)
  • Fertiliser: Application Method
  • Technology: Other
Trial type Experimental
Trial design Not applicable

2010

Sow date Not specified
Harvest date Not specified
Plot size Not specified
Plot replication Not specified

2010

Sow date Not specified
Harvest date Not specified
Plot size Not specified
Plot replication Not specified

Kybunga 2010

Sow date Not specified
Harvest date Not specified
Plot size Not specified
Plot replication Not specified
Download the trial report to view additional method/treatment information
Trial source data and summary not available
Check the trial report PDF for trial results.
Observed trial site soil information
Trial site soil testing
Not specified
Soil conditions
Trial site Soil texture
, SA Not specified
, SA Not specified
Kybunga, SA Not specified
Derived trial site soil information
Australian Soil Classification Source: ASRIS
Trial site Soil order
, SA Sodosol
, SA Chromosol
Kybunga, SA Chromosol
Soil Moisture Source: BOM/ANU
Average amount of water stored in the soil profile during the year, estimated by the OzWALD model-data fusion system.
Year SA SA Kybunga SA
2010 298.7mm567.4mm420.2mm
2009 305.3mm534.4mm384.8mm
2008 252.8mm497.2mm350.2mm
2007 267.0mm545.4mm381.3mm
2006 246.9mm567.7mm368.8mm
2005 275.9mm581.9mm405.0mm
2004 258.3mm530.9mm349.7mm
2003 310.1mm536.3mm378.0mm
2002 303.0mm515.5mm353.6mm
2001 417.3mm544.4mm390.7mm
2000 471.4mm519.9mm371.5mm
National soil grid Source: CSIRO/TERN
NOTE: National Soil Grid data is aggregated information for background information on the wider area
Actual soil values can vary significantly in a small area and the trial soil tests are the most relevant data where available

Soil properties

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Climate

Derived climate information

No observed climate data available for this trial.
Derived climate data is determined from trial site location and national weather sources.

SA

SA

Kybunga SA

SA

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SA

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Kybunga SA

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Some data on this site is sourced from the Bureau of Meteorology

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.

Trial report and links

2010 trial report



Trial last modified: 06-08-2019 07:54am AEST