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Potential Uses of UAVs in
Dryland Agriculture
Stephen Machado
Oregon State University
Columbia Basin Agricultural Research...
Site Specific Farming (Precision Ag)
1. Determine biotic (diseases, insects, weeds) and abiotic (soil)
factors influencing...
0.00 76.50 153.00 229.50 306.00
Meters
Characterize field
Divide field into 100-m grid cells and Geo-reference
the grid ce...
Soil sampling
0 – 10 cm
10 – 20 cm
20 – 30 cm
30 – 60 cm
60 – 90 cm
90 – 120 cm
Depth to restricting layer (caliche (clay)...
Electrical Conductivity
• Soil electrical conductivity measurements will be taken
simultaneously with the depth measuremen...
In season Management
• Scout field and map areas most affected
by moisture stress, N deficiency, weeds, insects, and
disea...
Satellite Imagery for Precision Agriculture
Demarcate Management Zones
• Wheat harvested with combine fitted with yield monitor
• The yield data overlaid on spatial a...
In-season management • Crop growth
• Crop development
• Drought stress
• Heat stress
• Diseases
• Insects
• Weeds
Economic Impact on Agriculture
• Maximize Fertilizer use efficiency
• Maximize Water Use Efficiency
• Maximize Disease Man...
Stephen Machado
Stephen Machado
Stephen Machado
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Stephen Machado

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From the Autonomous Systems @ OSU conference. http://research.oregonstate.edu/unmanned-systems-initiative

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Stephen Machado

  1. 1. Potential Uses of UAVs in Dryland Agriculture Stephen Machado Oregon State University Columbia Basin Agricultural Research Center Pendleton Autonomous Systems, Corvallis June 30, 2015
  2. 2. Site Specific Farming (Precision Ag) 1. Determine biotic (diseases, insects, weeds) and abiotic (soil) factors influencing the spatial and temporal variability of wheat grain yields 2. Find simple and cost effective ways to demarcate management zones for Site Specific Farming 3. Develop prescription maps to manage variability 4. Increase Nitrogen Use Efficiency, Water Use Efficiency, and Disease Management Efficiency
  3. 3. 0.00 76.50 153.00 229.50 306.00 Meters Characterize field Divide field into 100-m grid cells and Geo-reference the grid cells – longitude, latitude, elevation, slope, and aspect
  4. 4. Soil sampling 0 – 10 cm 10 – 20 cm 20 – 30 cm 30 – 60 cm 60 – 90 cm 90 – 120 cm Depth to restricting layer (caliche (clay) or bedrock Soil Depth Soil Texture Soil moisture Aspect Slopes
  5. 5. Electrical Conductivity • Soil electrical conductivity measurements will be taken simultaneously with the depth measurements using a non-invasive EM38 ground-conductivity meter (Geonics, ltd, Ontario, Canada). Soil Depth Soil Texture Soil moisture Aspect Slopes
  6. 6. In season Management • Scout field and map areas most affected by moisture stress, N deficiency, weeds, insects, and diseases • Monitor phenology, leaf area and biomass Multispectral Radiometer
  7. 7. Satellite Imagery for Precision Agriculture
  8. 8. Demarcate Management Zones • Wheat harvested with combine fitted with yield monitor • The yield data overlaid on spatial and temporal variation data to determine management zones for the field
  9. 9. In-season management • Crop growth • Crop development • Drought stress • Heat stress • Diseases • Insects • Weeds
  10. 10. Economic Impact on Agriculture • Maximize Fertilizer use efficiency • Maximize Water Use Efficiency • Maximize Disease Management Efficiency • Reduce Herbicides and Insecticide use • Increase in Net Profit Margins • Increase of $7.0/acre when only nitrogen is applied where it is needed (not uniformly) • Translate to an increase of $5.5 million on the 790,000 acres grown to wheat in 2013 • Increase of $9.0/acre when nitrogen and seeding rates were varied based on potential of different areas in the field (not uniformly) • Translate to an increase of $7.1 million on the 790,000 acres grown to wheat in 2013 • Net profits could be higher if all inputs (fertilizer, chemicals, water) were applied according to need

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