John Stafford előadása

1. PA, UAVs, BigData –
a flight of fancy?
John V Stafford

2. Where is our world going?
World population growth > 2050

3. Beecham Research:
“The challenges for farming and the food supply
chain are daunting”
“The development of smart farming and precision
agriculture must accelerate rapidly.”
“The United Nations Food and Agriculture Organisation
predicts that in order to keep pace with population growth,
food production must increase by 70 per cent by 2050; but
also estimates that agriculture worldwide is currently
responsible for a fifth of greenhouse gas emissions and for
using some 70 percent of the world’s fresh water.”

4. Precision agriculture in history

5. Precision agriculture in history

6. Revolution No 1

7. Auto-Guidance

8. Traffic system Mean depth of
tillage, mm
Energy, MJ/ha
Non-trafficked (CTF) 85 93
Conventional 90 202
Energy required for cultivation and drilling on a 60%
clay soil
Non-inversion tillage with tined cultivators
Controlled traffic farming

9. Yield Mapping

10. Variable rate application

11. Soil mapping

12. LandSat 1 1972 to landsat 8 2013
Landsat 8: 11 spectral bands inc 2 thermal;
Spatial resolution: 15-60 m;
Scene size: 185x185 km;
Revist time: 16 day revisit
Expensive
Remote sensing and agriculture

13. Ikonos high resolution satellite 1999;
5 band;
0.8m panchromatic,
3.2m multispectral;
3 day revisit
Remote sensing improves…..

14. Revolution No 2

15. WorldView-4; 2016;
0.3m panchromatic;
1.24m multispectral;
4.5 day revisit
Higher resolution – spatial and temporal
Many platforms
Non-contact sensors
Hyper-spectral
High resolutions, high sample rate image sensors

16. UAVs / drones

17. Cameras on UAVs – multispectral / thermal /
hyperspectral

18. After Bellvert et al, 2014
UAV Thermal imaging – water stress in vines

19. After Bellvert et al, 2014
UAV Thermal imaging – derived CWSI

20. After López-Granados et al, 2016
Weed mapping using object-based image analysis
UAV multispectral imaging

21. NDVI thresholded to determine red clover cover crop in wheat
After Abuleil et al, (in press)
Area of interest NDVI RCGC Map
(200m x 200m)
100%
67%
33%
0%
UAV red / NIR imaging

22. Onboard cameras - on-the-go lettuce detection

23. Onboard cameras – rowcrop weeding

24. Lots and…
Lots and…
Lots…
…of data
The consequences…

25. Revolution No 3

26. Big data

27. Veracity - The quality of captured data.
Volume-The quantity of generated and stored data.
Variety - The type and nature of the data.
Velocity - The speed of data generation and processing.
Variability - Consistency of the data set.
Big data ‘parameters’

28. Today’s data

29. Back in the 90s….

30. Data ≠ useful information

32. Need to develop models
Need for research
Need for dissemination
What we need…
‘A flight of fancy!’

34. Thank you!