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Radiometric Theory and Vegetative Indices

Learn about the use of radiometric theory and vegetative indices in precision agriculture for variable rate nozzle systems, decision making, and agronomic strategy. Explore computer and sensor assembly, plant sensor-based nitrogen management, and optical sensing techniques in precision farming.

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Radiometric Theory and Vegetative Indices

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  1. Radiometric Theoryand Vegetative Indices

  2. Variable Rate Nozzle System Decision Making And Agronomic Strategy Computer and Sensor Assembly Direction of Travel Plant Sensor-BasedNitrogen Management

  3. Optical sensing in Precision Farming (Techniques) • Aerial/satellite remote sensing • Film (visible/NIR/IR) and digitization • Direct Digital recording • Field machine based remote sensing • Direct Digital recording • Manual crop survey methods • Direct Digital (manual recording /logging)

  4. Light Sensing Source System Reflected Light Plant or Soil Surface Issues in conducting remote sensing • Variability in light source • Filtering of light along path • Measuring units/calibration of sensing system • Geometry • Spatial and temporal frequency of measurements

  5. Fiber-Optic Spectrometer One Spectral Channel at a time Optical Glass Fiber Optical Grating Analog to Digital Converter CPU Element selection Computer Photo Diode Array

  6. Fundamentals of Light • Light = Energy (radiant energy) • Readily converted to heat • Light shining on a surface heats the surface • Heat = energy • Light = Electro-magnetic phenomena • Has the characteristics of electromagnetic waves (eg. radio waves) • Also behaves like particles (e.g.. photons)

  7. Photo-Chemistry • Light may be absorbed and participate (drive) a chemical reaction. Example: Photosynthesis in plants • The wavelength must be correct to be absorbed by some participant(s) in the reaction • Some structure must be present to allow the reaction to occur • Chlorophyll • Plant physical and chemical structure

  8. Visual reception of color • Receptors in our eyes are tuned to particular photon energies (hn) • Discrimination of color depends on a mix of different receptors • Visual sensitivity is typically from wavelengths of ~350nm (violet) to ~760nm (red) Wavelength 700 nm 400 nm 500 nm

  9. Silicon Responsivity

  10. Primary and secondary absorbers in plants • Primary • Chlorophyll-a • Chlorophyll-b • Secondary • Carotenoids • Phycobilins • Anthocyanins

  11. Chlorophyll absorbance Chla: black Chlb: red BChla: magenta BChlb: orange BChlc: cyan BChld: bue BChle: green Source: Frigaard et al. (1996), FEMS Microbiol. Ecol. 20: 69-77

  12. Sunlight Intensity Chlorophyll b Phycocyanin Absorption B-Carotene Chlorophyll a 300 400 500 600 700 800 Wavelength, nm Lehninger, Nelson and Cox Absorption of Visible Lightby Photo-pigments

  13. Radiation Energy Balance • Incoming radiation interacts with an object • and may follow three exit paths: • Reflection • Absorption • Transmission • a + t + r= 1.0 • a, t, andrare the • fractions taking each path • Known as absorbance,transmittance, reflectance respectively Il0 Il0r Il0 a Il0 t

  14. Nature of absorption by the atmosphere Reflected Transmitted Incident Absorbed Radiant energy balance must be computed for each component of the atmosphere and for each wavelength to estimate the radiation incident on the earth's surface Earth's surface Atmosphere

  15. Reflectance • Ratio of incoming to reflected irradiance • Incoming can be measured using a “white” reflectance target • Reflectance is not a function of incoming irradiance level or spectral content, but of target characteristics

  16. Solar Irradiance NIR UV

  17. 0.5 Visible Near Infrared Indicator of Available Chlorophyl Reflectance (%) Measure of living plant cell’s ability to reflect infrared light 0.25 PhotosyntheticPotential 0.00 450 500 550 600 650 700 750 800 850 900 950 1000 1050 Wavelength (nm) Plant Reflectance

  18. 1 0.9 Winter Wheat at Feekes 5 in potted soil 0.8 0.7 0.6 Reflectance 0.5 0 Nitrogen 0.4 Measure of living plant cell’s ability to reflect infrared light 100 lb Nitrogen/ac Photosynthetic Potential 0.3 0.2 0.1 0 400 500 600 700 800 Wavelength, nm Spectral Response to Nitrogen

  19. Soil and crop reflectance

  20. Interfering Inputs:Soil Reflectances - Oklahoma

  21. Irradiance Indices Based on ratios of reflected Red and NIR intensity Example Index: Rred / Rnir Spectral shift in illumination prevents use of simple irradiance sensing

  22. Reflectance Indices Based on ratios of Red and NIR Reflectance Red Reflectance: rred = Rred / Ired NIR Reflectance: rnir = Rred / Ired Vegetative Index: Reflectance is primarily a function of target

  23. Simple Ratio • Calculated the reflectance values of Red and NIR • Varies from 0 to 1 • Measure of leaf area • Can be used as a leaf area index • Related to other agronomic/botanical measures • Biomass • Chlorophyll • Nitrogen • Yield

  24. NDVI • Normalized Difference Vegetative Index • Developed as an irradiance index for remote sensing • Varies from -1 to 1 • Soil NDVI = -0.05 to .05 • Plant NDVI = 0.4 to 0.9 • Typical plants with soil background NDVI=0.3-0.8 • NDVI from different sources vary • Bandwidths for Red, NIR vary • Irradiance vs. reflectance based

  25. Normalized Difference Vegetative Index - NDVI • Calculated from the red and near-infrared bands • Equivalent to a plant physical examination • Correlated with: • Plant biomass • Crop yield • Plant nitrogen • Plant chlorophyll • Water stress • Plant diseases • Insect damage

  26. Detection of Reflected NIR and RED Direction +Sun NIR and RED Modulated Illumination Target GreenSeekerTM Sensor Light Detection and Filtering

  27. Calculate NDVI ? Lookup valve setting ? Apply valve setting ? Send data to UI ? Sensor Function Light signal Valve settings Light Light Valves andNozzles detection generation “Sensor”

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