An eye in the sky to tackle the fly

An eye in the sky to tackle the fly

Scientists at the University of Aberdeen are putting an eye in the sky as they investigate a potential new method to prevent damage to soft fruit crops in the UK.

They are using drone technology in a bid to create a new monitoring system for the fruit fly Drosophila suzukii.

Also known as Spotted Wing Drosophila, the pest has become a serious threat to growers since it arrived in the UK from mainland Europe, affecting many commercial fruit crops including strawberries, raspberries and grapes.

Early detection is crucial to prevent it from damaging crops, however traditional monitoring methods are time-consuming and costly.

The University of Aberdeen has been selected alongside European partners to investigate the possibility of using drones to monitor, identify and alert growers to the presence of the fly so that they can take swift action to prevent crop damage.

The three-year project, which is funded by the Department for Environment, Food & Rural Affairs (Defra), also involves Dr. Johannes Fahrentrapp at the Zurich University of Applied Sciences in Switzerland and Dr. Lammert Kooistra the University of Wageningen in the Netherlands. 

Dr David Green, from the University of Aberdeen, said: “Since it arrived in the UK in 2012 Drosophila suzukii has spread rapidly to become a real threat to soft fruit growers, particularly in the main fruit growing areas in the south-east, although it has been found as far north as Dundee.

“Early detection is key to prevention, however current monitoring methods usually involve manually checking traps for signs of the fruit fly, which is very time-consuming and inefficient if you are going from trap to trap over acres of land.

“What we are aiming to develop is an automated system where drones fitted with cameras would fly over so-called ‘sticky traps’ which would trap the fly but in a way that allows it to be identified from the air.

“One of the main challenges of our work will be developing a method that automatically identifies the presence of the fly among other pests.

“Our Dutch partners at the University of Wageningen are specialists in image processing, and our aim is to develop an image-capturing and processing system that can recognise the fly and carry out an automatic count in order to determine to what extent they are present in the crop.

“From there a fast alert can be issued to growers and they can undertake the necessary action to prevent damage to their crop, which in many cases can amount to many thousands of pounds.

 “Ultimately, our goal is to develop a system which has real value for soft fruit growers - many of whom operate on tight margins - that can help protect their livelihoods.”

Search News

Browse by Month

2024

  1. Jan
  2. Feb
  3. Mar
  4. Apr
  5. May There are no items to show for May 2024
  6. Jun There are no items to show for June 2024
  7. Jul There are no items to show for July 2024
  8. Aug There are no items to show for August 2024
  9. Sep There are no items to show for September 2024
  10. Oct There are no items to show for October 2024
  11. Nov There are no items to show for November 2024
  12. Dec There are no items to show for December 2024

2022

  1. Jan
  2. Feb
  3. Mar
  4. Apr
  5. May There are no items to show for May 2022
  6. Jun
  7. Jul
  8. Aug
  9. Sep
  10. Oct
  11. Nov
  12. Dec

2016

  1. Jan There are no items to show for January 2016
  2. Feb
  3. Mar There are no items to show for March 2016
  4. Apr There are no items to show for April 2016
  5. May There are no items to show for May 2016
  6. Jun There are no items to show for June 2016
  7. Jul There are no items to show for July 2016
  8. Aug There are no items to show for August 2016
  9. Sep
  10. Oct
  11. Nov
  12. Dec

2014

  1. Jan There are no items to show for January 2014
  2. Feb
  3. Mar
  4. Apr
  5. May
  6. Jun
  7. Jul There are no items to show for July 2014
  8. Aug There are no items to show for August 2014
  9. Sep There are no items to show for September 2014
  10. Oct There are no items to show for October 2014
  11. Nov
  12. Dec There are no items to show for December 2014

2013

  1. Jan
  2. Feb
  3. Mar
  4. Apr There are no items to show for April 2013
  5. May
  6. Jun
  7. Jul There are no items to show for July 2013
  8. Aug There are no items to show for August 2013
  9. Sep
  10. Oct
  11. Nov
  12. Dec There are no items to show for December 2013

2012

  1. Jan
  2. Feb
  3. Mar
  4. Apr
  5. May
  6. Jun There are no items to show for June 2012
  7. Jul There are no items to show for July 2012
  8. Aug There are no items to show for August 2012
  9. Sep
  10. Oct
  11. Nov
  12. Dec

2011

  1. Jan There are no items to show for January 2011
  2. Feb There are no items to show for February 2011
  3. Mar There are no items to show for March 2011
  4. Apr
  5. May There are no items to show for May 2011
  6. Jun There are no items to show for June 2011
  7. Jul There are no items to show for July 2011
  8. Aug There are no items to show for August 2011
  9. Sep There are no items to show for September 2011
  10. Oct
  11. Nov There are no items to show for November 2011
  12. Dec There are no items to show for December 2011