Variable Rate Technology Taking a site-specific approach Frank D’Emden Technology Development...
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Transcript of Variable Rate Technology Taking a site-specific approach Frank D’Emden Technology Development...
Variable Rate Technology
Taking a site-specific approach
Frank D’Emden Technology Development [email protected] 917 871
Overview
Data• Yield• Biomass• Geophysical• Soil
Data interpretation
Innovations arising from UAV technology
Autonomous Livestock Monitoring Systems (ALMS)
Data
Yield• Take time to set up monitor (i.e. paddock names and
calibration)• Copy and securely store raw data from card at end of
day/paddock/season
Biomass• Satellite
• Low cost, inaccurate, unreliable• but watch this space…
• UAV • Moderate cost, highly accurate, versatile acquisition• Data heavy (lots of MB)
Data (cont’d)
Geophysics• Electromagnetics and gamma radiometrics• Objective soil reference layers• Need to be ground-truthed ($)
Soil• Keep going (every 3 years)• Go deep (at least 20cm)• Go back to the same spot (Georeference)
• Measures soil
electroconductivity • Primarily influenced by
salinity• Clay and moisture also
influence EM
Electromagnetics
• Measures naturally occurring gamma radiation
• 90% of gamma radiation emitted from top 45cm of soil.
• Differentiates between sand and gravel (low EM) and different clay types (high EM).
Radiometrics
Interpretation: Correlation
0.4 0.6 0.8 1 1.2 1.4 1.6 1.80
5
10
15
20
25
30
35
40R² = 0.772592224855639
Horizon A Clay% vs Gamma K
Gamma K (%)
% C
lay
0.4 0.6 0.8 1 1.2 1.4 1.6 1.850556065707580859095
100
R² = 0.759963560379788
Horizon A Sand% vs Gamma K
Gamma K (%)
% S
and
Biomass mapping
1.5 1.6 1.7 1.8 1.9 2 2.1 2.2 2.3 2.4 2.50
200
400
600
800
1000
1200
R² = 0.962192678263953
Crop Height (m)
Plan
t bio
mas
s (g
/pla
nt)
• Virtual fencing
• Water monitoring
Mark TrotterUniversity of New EnglandPrecision Ag Research Group
Autonomous Livestock Monitoring Systems