Ken Coles M.Sc. P.Ag .

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Ken Coles M.Sc. P.Ag. Sorting Through the Layers Of Precision Agriculture Farmer Smarter Conference Lethbridge, AB, December 4, 2013

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Sorting Through the Layers Of Precision Agriculture Farmer Smarter Conference Lethbridge, AB, December 4, 2013. Ken Coles M.Sc. P.Ag . 1.Producer knowledge. 2. Aerial Imagery/ Orthophotos. 3.Soil Apparent Electrical Conductivity ( ECa ) Mapping Sensors. - PowerPoint PPT Presentation

Transcript of Ken Coles M.Sc. P.Ag .

Page 1: Ken Coles M.Sc.  P.Ag .

Ken Coles M.Sc. P.Ag.

Sorting Through the LayersOf Precision Agriculture

Farmer Smarter Conference Lethbridge, AB, December 4, 2013

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7. Satellite-based NDVI imagery

1.Producer knowledge

2. Aerial Imagery/Orthophotos

3.Soil Apparent Electrical Conductivity (ECa) Mapping Sensors

4. Digital Elevation Models (DEMs)

5. Yield Maps

6. Aerial Imagery from UAV –based Sensors

8. Ground-based vegetation sensors (greenseeker)

9. Grid soil sampling

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Understanding Soil Variability for Effective Zone Management in Precision Agriculture – an evaluation of sensor based soil mapping tools.

• Multidisciplinary team of experts in precision agriculture, agronomy, soils, GIS, spatial statistics, remote sensing, salinity, economics

• Data collection: all layers, EC twice per sensor, field scale replicated response trials

• Evaluate multiple zones after the fact using field trial, conventional and spatial stats.

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0 5 10 15 20 25 30 35 40 450

102030405060708090

100

f(x) = 0.329279990564237 x + 39.5336349542337R² = 0.0841116963590952

f(x) = NaN x + NaNR² = 0 All Fields Depth Weighted Silt (Outliers

Removed)

Silt ShallowLinear (Silt Shallow)Silt DeepLinear (Silt Deep)

Depth Weighted Silt Content %

EM 3

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adin

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f(x) = − 0.118824078581209 x + 54.256233892652R² = 0.0231609874626114

f(x) = NaN x + NaNR² = 0 All Fields Depth Weighted Sand (Outliers

Removed)

Sand ShallowLinear (Sand Shallow)Sand DeepLinear (Sand Deep)

Depth Weighted Sand Content %

EM 3

8 Re

adin

g0 5 10 15 20 25 30 35 40 45 50

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f(x) = − 0.231593042873098 x + 50.9831761212472R² = 0.0209438293250105

f(x) = NaN x + NaNR² = 0 All Fields Depth Weighted Clay (Outliers

Removed)

Clay ShallowLinear (Clay Shallow)Clay DeepLinear (Clay Deep)

Depth Weighted Clay Content %

EM 3

8 Re

adin

g

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Variable Rates:

Nitrogen (lbs/ac): 0, 30, 60, 90, 120

Seeding Rates (seed/m2): 250 , 350

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0 30 60 90 12020

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Hand Sampled Wheat Yield (bu/ac) Field Scale Replicated Trial Mossleigh, AB 2013

250 seeds/m2Seed Rate

bu/a

c

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RTK > RTX > SF2=OmnistarHP > Ominstar XP=SF1 > Glonass > WAAS

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Lessons:

• Trying to do anything with Ag GPS beyond auto-steer is like herding cats!

• Calibration is critical

• Accurate GPS is important for minimizing error

• Constant and reasonable speeds are required

• Soil moisture important, frost free window is small

• Veris more costly & slower but can add OM and pH sensor

• The devils in the detail!

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Ken Coles M.Sc., B.Sc., P.Ag.General ManagerFarming Smarter #100 5401 – 1st Ave. SouthLethbridge, AB T1J [email protected]: @killerkencolesoffice: 403-381-5118cell: 403-317-0757