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Fig 1: Side by side comparison of RGB and NDVI maps
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Fig 2: Absorption spectrum of Chlorophyll [2]
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Fig 3: Sketch of Landsat1 Satellite [3]
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Fig 2: Absorption spectrum of Chlorophyll [2]
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Fig 4: Analyzing an NDVI orthomosaic in Pix4D
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Fig 5: Public Labs NIR Camera conversion kit
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Fig 6: Thermal image of a cotton field in Arizona [5]
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Fig 7: AgriImage drone flying over an irrigation pivot
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Crop
Intercept
(b)
Slope
(m)
Alfalfa 0.51 -1.92
Barley (pre-
heading)
2.01 -2.25
Barley (post-
heading)
1.72 -1.23
Bean 2.91 -2.35
Beet 5.16 -2.3
Corn (no tassels) 3.11 -1.97
Cotton 1.49 -2.09
Cowpea 1.32 -1.84
Cucumber 4.88 -2.52
Lettuce, leaf 4.18 -2.96
Potato 1.17 -1.83
Soybean 1.44 -1.34
Tomato 2.86 -1.96
Wheat (pre-
heading)
3.38 -3.25
Wheat (post-
heading)
2.88 -2.11
An example of the slope and intercept values for Soybeans is given below, followed by values for
various other crops:
Fig 8: Example Vapor Pressure deficit Baseline for Soybeans [5]
Intercept and Slope values for various crops [5]
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Fig 9: Flir Thermal Imaging Camera [8]
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Fig 9: NDVI image showing drainage issues [8]
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[1] D. Deering and R. H. Hass, "Using Landsat Digital Data for Estimating Green Biomass," NASA, Greenbelt, MD, 1980.
[2] J. Whitmarsch and Govindjee, "The Photosynthetic Process," 1995. [Online]. Available: http://www.life.illinois.edu/govindjee/paper/gov.html#52. [Accessed 22 August
2015].
[3] NASA, "Landsat Science," NASA, 19 August 2015. [Online]. Available: http://landsat.gsfc.nasa.gov/?p=3172. [Accessed 22 August 2015].
[4] Public Labs, "Near Infrared Camera," Public Labs, June 2015. [Online]. Available: http://publiclab.org/wiki/near-infrared-camera. [Accessed 25 August 2015].
[5] USDA agricultural Research Service, "Crop water Stress Detection," USDA, 15 December 2005. [Online]. Available:
http://www.ars.usda.gov/Main/docs.htm?docid=9715&pf=1. [Accessed 24 August 2015].
[6] R. D. W. P. K. a. B. J. C. Jackson, "A reexamination of the crop water stress index.," Irrigation Science, vol. 9, no. 4, pp. 309-317, 1988.
[7] K. P. U. R.L. Snyder, "Measuring Vapor Pressure Deficit in the Field," Regents of the University of California, 6 January 2006. [Online]. Available:
http://biomet.ucdavis.edu/biomet/VPD/vpd.htm. [Accessed 24 August 2015].
[8] Flir, "FLIR Tau 2 LWIR Thermal Imaging Camera Core Series," Flir, 2015. [Online]. Available: http://www.flircameras.com/flir-tau-2/flir-tau-2-thermal-imaging-camera-
core-series.htm. [Accessed 25 August 2015].

Indices for Precision Agriculture

  • 2.
  • 3.
    • • • • Fig 1: Sideby side comparison of RGB and NDVI maps
  • 4.
    • • • Fig 2: Absorptionspectrum of Chlorophyll [2]
  • 6.
    • • Fig 3: Sketchof Landsat1 Satellite [3]
  • 7.
  • 8.
    • • • • • • Fig 2: Absorptionspectrum of Chlorophyll [2]
  • 9.
    • • • • Fig 4: Analyzingan NDVI orthomosaic in Pix4D
  • 10.
  • 11.
    • • • • • Fig 5: PublicLabs NIR Camera conversion kit
  • 12.
    • • • • Fig 6: Thermalimage of a cotton field in Arizona [5]
  • 13.
    • • • Fig 7: AgriImagedrone flying over an irrigation pivot
  • 14.
  • 15.
  • 16.
  • 17.
  • 18.
    Crop Intercept (b) Slope (m) Alfalfa 0.51 -1.92 Barley(pre- heading) 2.01 -2.25 Barley (post- heading) 1.72 -1.23 Bean 2.91 -2.35 Beet 5.16 -2.3 Corn (no tassels) 3.11 -1.97 Cotton 1.49 -2.09 Cowpea 1.32 -1.84 Cucumber 4.88 -2.52 Lettuce, leaf 4.18 -2.96 Potato 1.17 -1.83 Soybean 1.44 -1.34 Tomato 2.86 -1.96 Wheat (pre- heading) 3.38 -3.25 Wheat (post- heading) 2.88 -2.11 An example of the slope and intercept values for Soybeans is given below, followed by values for various other crops: Fig 8: Example Vapor Pressure deficit Baseline for Soybeans [5] Intercept and Slope values for various crops [5]
  • 20.
  • 21.
    • • • • • • • • • Fig 9: NDVIimage showing drainage issues [8]
  • 22.
  • 23.
    [1] D. Deeringand R. H. Hass, "Using Landsat Digital Data for Estimating Green Biomass," NASA, Greenbelt, MD, 1980. [2] J. Whitmarsch and Govindjee, "The Photosynthetic Process," 1995. [Online]. Available: http://www.life.illinois.edu/govindjee/paper/gov.html#52. [Accessed 22 August 2015]. [3] NASA, "Landsat Science," NASA, 19 August 2015. [Online]. Available: http://landsat.gsfc.nasa.gov/?p=3172. [Accessed 22 August 2015]. [4] Public Labs, "Near Infrared Camera," Public Labs, June 2015. [Online]. Available: http://publiclab.org/wiki/near-infrared-camera. [Accessed 25 August 2015]. [5] USDA agricultural Research Service, "Crop water Stress Detection," USDA, 15 December 2005. [Online]. Available: http://www.ars.usda.gov/Main/docs.htm?docid=9715&pf=1. [Accessed 24 August 2015]. [6] R. D. W. P. K. a. B. J. C. Jackson, "A reexamination of the crop water stress index.," Irrigation Science, vol. 9, no. 4, pp. 309-317, 1988. [7] K. P. U. R.L. Snyder, "Measuring Vapor Pressure Deficit in the Field," Regents of the University of California, 6 January 2006. [Online]. Available: http://biomet.ucdavis.edu/biomet/VPD/vpd.htm. [Accessed 24 August 2015]. [8] Flir, "FLIR Tau 2 LWIR Thermal Imaging Camera Core Series," Flir, 2015. [Online]. Available: http://www.flircameras.com/flir-tau-2/flir-tau-2-thermal-imaging-camera- core-series.htm. [Accessed 25 August 2015].