Preliminary program


Tuesday, 29th October


Arrival and Registration


Wednesday, 30th October

Session #1 (Chair: Svend Christensen)


8:45-9:30 Key note speaker: Dealing with images from drones - using standard image processing and deep learning by Henrik Skov Midtiby (University of Southern Denmark, Denmark)

9:30-11:00 (four 20 minutes talk plus 10 minutes discussion)

11:00-11:30 Coffee break

Session #2 (Chair: Hanan Eisenberg)

11:30-12:15 Key note speaker: Advanced data fusion for weed mapping by Tarin Pas-Kagan (ARO, Israel)

12:15-13:00 (two 20 minutes talk plus 5 minutes discussion)

13:00-14:00 Lunch

Session #3 (Chair: Henrik Skov Midtiby)

14:00-14:45 Key note speaker: Robotic weed mapping by Rasmus Jørgensen (University of Aarhus)

14:45-15:30 (two 20 minutes talk plus 5 minutes discussion)

15:30-16:00 Coffee break

Session #4 (Chair: Roland Gerhard)

16:00-17:30  (four 20 minutes talk plus 10 minutes discussion)


Thursday 31st October

This day will be dedicated for details tutorial presentations of Key aspects in SSWM.


9:00-10:30 Weed density mapping using mobile phone and QGIS (Jesper Rasmussen and Jesper Cairo Westergaard)

10:30-11:00 Coffee break

11:00-12:30 Multivariate analysis for weed classification (Mohsen B Mesgaran)

12:30-13:30 Lunch

13:30-15:00 Machine and deep learning

15:00-15:30 Coffee break

15:30-17:00 Application technology and precise spraying (Roland Gerhard)


Friday 1st November

Visit at Gyldensteen Manor that has a large production of onions and pumpkins. The farm collaborates with University of Southern Denmark, Aarhus University and the company AgroIntelli on applying robotics and precision agriculture.


Download a PDF of the programme





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