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Philipp Trénel, Søren K. Boldsen, Thomas Nitschke | DTI - Danish Technological Institute, AgroTech
Drones-as-a-Service for...
the setting
 the use of civil drones is expected to increase drastically over the next years(1) with an expected
150.000 ...
precision agriculture (PA)
 is expected to be part of the solution for present and future food, agriculture, climate and
...
why are drones not ubiquitous in PA applications, yet?
 restrictive laws, not permitting full automation and BVLoS*
 hig...
DaaS for agricultural applications
 requires an intelligent integration of
drone, computer vision, machine learning
algor...
DaaS for agricultural applications
Drones-as-a-Service for agricultural applications
DaaS for agricultural applications
Drones-as-a-Service for agricultural applications
Drones-as-a-Service for agricultural applications
DaaS for agricultural applications
DaaS IT-platform
2. Data acquisition
...
The Danish Technological Institute (DTI)
is actively contributing to the promotion
and innovation of civil drones in the
D...
on-going activities
 two DaaS projects, aiming at detecting and quantifying plant diseases in two different crops
(wheat ...
DTI: Danish Technological Institute
Wheat variety trial Sugar beet trial
Ground truth
Trial locality Koldkærgård, eastern ...
automatic plot detection algorithm
Drones-as-a-Service for agricultural applications
09-05-2017 25-08-2017
harvest
fall-2016 17-05-2017 01/02-06-2017
1. dise...
Drones-as-a-Service for agricultural applications
challenges
 holding the time plan
 stitching is challenged when drone ...
Drones-as-a-Service for agricultural applications
conclusions
 buidling DaaS solutions for agricultural applications is a...
Drones-as-a-Service for agricultural applications
For more information on DTI’s
drone activities, see flyer
This activity is funded by the Danish Ministry of Higher Education and Science as part of the project
“Drones – from devel...
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Drones-as-a-Service for agricultural applications (by Philipp Trénel)

At TUS Nordics 2017, Philipp Trénel gave the presentation ‘Drones-as-a-Service for agricultural applications’ in our Arctic track, on Thursday 12 October 2017.

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Drones-as-a-Service for agricultural applications (by Philipp Trénel)

  1. 1. Philipp Trénel, Søren K. Boldsen, Thomas Nitschke | DTI - Danish Technological Institute, AgroTech Drones-as-a-Service for agricultural applications experiences and findings from drone flights aimed at detecting plant diseases
  2. 2. the setting  the use of civil drones is expected to increase drastically over the next years(1) with an expected 150.000 new jobs and a turnover of 15 billion Euros reached before year 2050 in Europe alone(2,3)  agriculture is often highlighted as one of the business areas with a great business potential for drones(2,4)  drones are expected to become an integrated part of future precision agriculture (PA) techniques(5) Drones-as-a-Service for agricultural applications 1) Global drone teknologi. Rapport af Teknologisk Institut udarbejdet for Styrelsen for Forskning og Innovation som led i RK kontrakt om professionelle civile droner, 2016. (2) Droner – en ny vækstbranche? En analyse af jobpotentialet ved ubemandede fly i Danmark. Oxford Research, 2015. (3) Fremtidens regulering af civile droner, Rapport fra en tværministeriel arbejdsgruppe, Trafikstyrelsen, 2015 (4) Civile droner i Danmark – potentialer, udfordringer og anbefalinger. Rapport af Teknologi Rådet udarbejdet for Uddannelses- og Forskningsministeriet, 2014. (5) Zhang, C. & Kovacs, J.M. 2012. The application of small unmanned arial systems for precision agriculture: a review. Precision Agric 13:693-712.
  3. 3. precision agriculture (PA)  is expected to be part of the solution for present and future food, agriculture, climate and environmental challenges(6,7)  aims at automated & area-specific optimization of agricultural operations based on small- scale sensor measurements, while at the same time minimizing the environmental costs  drones may provide a time-effective technical solution for an automatic sampling of dense sensor data across large areas  but, only few Danish farmers are actively using drones or drone-based companies and their products for improving their operations in the field(8) Drones-as-a-Service for agricultural applications (6) EIP-AGRI Focus Group Precision Farming – EU final report 2015 (7) Precision agriculture: an opportunity for EU farmers. EU report 2014. (8) Kortlægning af droner i Danmark. Rapport af Teknologisk Institut, 2016.
  4. 4. why are drones not ubiquitous in PA applications, yet?  restrictive laws, not permitting full automation and BVLoS*  high degree of technology maturation needed  high degree of user-friendliness needed(9)  value of drone-assisted technologies in commercially driven farms still not demonstrated and validated in a Danish setting  drones must act as an integral part of a full-solution service product, i.e. drones-as-a-service (DaaS)(8) Drones-as-a-Service for agricultural applications *: BVLoS = Beyond Visual Line of Sight (8) Kortlægning af droner i Danmark. Rapport af Teknologisk Institut, 2016. (9) Fountas, S., Pedersen, S.M. and Blackmore, S. 2005. ICT in Precision Agriculture – Diffusion of Technology. In: E.Gelb and A. Offer (Eds.), ICT in Agriculture
  5. 5. DaaS for agricultural applications  requires an intelligent integration of drone, computer vision, machine learning algorithms and user-friendly web platforms with agronomic domain knowledge  requires large amounts of ground-truth data to be sampled, before any valid and robust prediction algorithm for a PA solution can be build  multi-domain nature! Drones-as-a-Service for agricultural applications
  6. 6. DaaS for agricultural applications Drones-as-a-Service for agricultural applications
  7. 7. DaaS for agricultural applications Drones-as-a-Service for agricultural applications
  8. 8. Drones-as-a-Service for agricultural applications DaaS for agricultural applications DaaS IT-platform 2. Data acquisition 1. User request 3. Data 4. Stitching 2. Time and flight plan, sensor choice Data acquisition Ground truth data acquisition Stitching Automated trial plot detection Library: {ground truth, sensor data} Training+testing predictive models Calibration Prediction model 5. User-oriented presentation 6. Automation/action External data field 100-1
  9. 9. The Danish Technological Institute (DTI) is actively contributing to the promotion and innovation of civil drones in the Danish context by: - providing a test-center at Odense Robotics - implementing shared autonomy into drone technologies - producing 3D-prints for drone components - developing alternative energy systems for prolonged flying time - contributing to the ministerial working group application of drones in agriculture for the Ministry of Environment and Food of Denmark Danish Technological Institute (DTI)  the Danish Technological Institute is part of the solution!  brings together experts from the fields of robotics, agriculture, computer science and machine learning.  conducting 1000+ field trials/yr. in collaboration with SEGES
  10. 10. on-going activities  two DaaS projects, aiming at detecting and quantifying plant diseases in two different crops (wheat and sugar beet) based on data from drone-borne multispectral sensors and ground-truth data collected in two Danish field trials  demonstrating the complex multi-domain nature of DaaS applications in the agricultural setting, their challenges and solutions.
  11. 11. DTI: Danish Technological Institute Wheat variety trial Sugar beet trial Ground truth Trial locality Koldkærgård, eastern Jutland Gedsergård, Falster, Southern Denmark Trial owner SEGES, Landsforsøg® Nordic Beet Research Measures Yield (hkg/ha) Protein content at harvest (% of DM) Starch content at harvest (% of DM) Septoria (%) Mildew (%) Yellow rust (%) Mildew (%) Ramularia (%) Beet rust (%) Cercospora (%) Drone Ebee Phantom 3 DJI S1000+ octo-rotor Operator Integra Bo JM Secher, Nordic Sugar DTI Sensor Multispectral Multispectral Hyperspectral Brand Parrot Sequoia Parrot Sequoia Specim FX10 Spectral bands (nm) Green, Red, Red edge, NIR 510-590, 620-700, 725-745, 750-830 Green, Red, Red edge, NIR 510-590, 620-700, 725-745, 750-830 224 spectra 397 - 1005 Data management Stitching Pix4D mapper Pix4D mapper Pix4D mapper Plot detection R-function, DTI R-function, DTI R-function, DTI Data analysis R, DTI R, DTI R, DTI
  12. 12. automatic plot detection algorithm
  13. 13. Drones-as-a-Service for agricultural applications 09-05-2017 25-08-2017 harvest fall-2016 17-05-2017 01/02-06-2017 1. disease registrations 2. disease registrations 3. disease registrations 03-07-2017 1. 2. 3. wheat trial beet trial 24-07-2017spring-2017 08-08-2017 15-08-2017 1. disease registrations 2. disease registrations 3. disease registrations 30-08/01-09-2017 1. 2.
  14. 14. Drones-as-a-Service for agricultural applications challenges  holding the time plan  stitching is challenged when drone data are collected at sub-optimal weather conditions  trial plot detection: retrieving pixel values for each trial plot requires an automated algorithm  dimension reduction of multi-/hyperspectral data, Nground truth ≪ Ndrone data: the curse of dimensionality  honest model evaluation using valid hold-out data, simulating prediction for unknown fields, varieties, years, etc.
  15. 15. Drones-as-a-Service for agricultural applications conclusions  buidling DaaS solutions for agricultural applications is a vastly complex task  its multi-domain nature does not offer simple ‘low-hanging fruits’ solutions  DTI is currently analyzing data from two DaaS projects aiming at detecting plant diseases
  16. 16. Drones-as-a-Service for agricultural applications For more information on DTI’s drone activities, see flyer
  17. 17. This activity is funded by the Danish Ministry of Higher Education and Science as part of the project “Drones – from development to implementation”, for more information visit www.teknologisk.dk Thank you!
  • LingaMallikarjuna

    Mar. 5, 2021
  • fredsouthgate

    Dec. 3, 2017

At TUS Nordics 2017, Philipp Trénel gave the presentation ‘Drones-as-a-Service for agricultural applications’ in our Arctic track, on Thursday 12 October 2017.

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