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Using drones for the detection of crop pest damage in canola

2015
CC BY 4.0

Research organisation
Funding sources
Southern Farming Systems
Production, Environment and Quality (PEAQ) Management FarmingIT Luminis Analytics Pty Ltd <abbr title='Grains Research and Development Corporation'>GRDC</abbr>

Trial details

Researcher(s) Megan Beveridge (SFS)
Alex Russell (PEAQ)
Year(s) 2015
Contributor Southern Farming Systems
Trial location(s) Inverleigh, VIC
Using drones for the detection of crop pest damage in canola locations
Aims

To investigate the feasibility of utilising image data, collected using UAVs, to make timely management decisions relating to slug damage in emerging canola.

Key messages
  • Slugs are a major pest for emerging canola crops in the high rainfall zone (HRZ)
  • Detection across large areas is difficult from the ground
  • Remote plant counts can be produced using images collected by drones
  • Information can be returned to the grower within five days
  • Only two out of every five days had suitable flying conditions, causing image collection to be delayed
Lead research organisation Southern Farming Systems
Host research organisation N/A
Trial funding source Production, Environment and Quality (PEAQ) Management
Trial funding source FarmingIT
Trial funding source Luminis Analytics Pty Ltd
Trial funding source GRDC SFS00030
Related program N/A
Acknowledgments

This project was a joint collaboration between SFS and PEAQ Management, funded by GRDC Research Code SFS00030. Thanks to Martin and Jo Peters of FarmingIT, Alberto Dri of Luminis Analytics and Neil Hives of IPM Technologies for their involvement in the project.

Thanks also to the farmers who hosted trials on their properties. 
Other trial partners Production, Environment and Quality (PEAQ) Management
Download the trial report to view additional trial information

Method

Crop type Oilseed: Canola
Treatment type(s)
  • Management systems : Integrated pest management
  • Technology : Drone
Trial type Article/commentary
Trial design Not applicable

Inverleigh 2015

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
Inverleigh, VIC Not specified
Derived trial site soil information
Australian Soil Classification Source: ASRIS
Trial site Soil order
Inverleigh, VIC Sodosol
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 Inverleigh VIC
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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.

Inverleigh VIC

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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

2015 trial report



Trial last modified: 20-10-2019 12:40pm AEST