Method to assess plant stress using two narrow red spectral bands
First Claim
1. A plant stress prediction system comprisinga plurality of digital cameras for taking images of a stand of vegetation at different wavelengths, a first of said cameras taking images at wavelengths associated with the absorption spectrum of chlorophyll, a second of said cameras taking images at wavelengths associated with biomass reflectance;
- means for computing an Algorithm Image for said stand of vegetation; and
means for displaying said computed Algorithm Image, wherein said Algorithm Image is produced from digital matrix data obtained from two spectral bandpasses of less than or equal to 25 nm where a first of said two spectral bandpasses includes 680 nm and a second of said two spectral bandpasses includes 770 nm, and where the digital matrix data for the first of said two spectral bandpasses is mapped to a first color forming device and a red/far red data product obtained from the formula ((680 nm/770 nm)+128) is mapped to a second color forming device where said first and second color forming devices form different colors.
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Abstract
A system and method for assessing plant stress in agricultural crops or crop yields from non-invasive measurements. Aerial digital cameras filtered with two narrow (≦25 nanometers) spectral bandpasses provide digital matrix data representing the absorption spectrum of Chlorophyll α at 680 nm (red) and biomass reflectance at 770 nm (far red). The digital data is corrected and transformed by computer to generate an “Algorithm Image”. The Algorithm Image represents the chlorophyll content for the stand of vegetation, and its interpretation provides information regarding plant stress and is useful in predicting crop yield.
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Citations
13 Claims
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1. A plant stress prediction system comprising
a plurality of digital cameras for taking images of a stand of vegetation at different wavelengths, a first of said cameras taking images at wavelengths associated with the absorption spectrum of chlorophyll, a second of said cameras taking images at wavelengths associated with biomass reflectance; -
means for computing an Algorithm Image for said stand of vegetation; and
means for displaying said computed Algorithm Image, wherein said Algorithm Image is produced from digital matrix data obtained from two spectral bandpasses of less than or equal to 25 nm where a first of said two spectral bandpasses includes 680 nm and a second of said two spectral bandpasses includes 770 nm, and where the digital matrix data for the first of said two spectral bandpasses is mapped to a first color forming device and a red/far red data product obtained from the formula ((680 nm/770 nm)+128) is mapped to a second color forming device where said first and second color forming devices form different colors. - View Dependent Claims (2, 3, 4)
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5. A method for predicting plant stress or crop yield, said method comprising the steps of:
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gathering a plurality of digital images using a photographic system comprised of a plurality of digital cameras equipped with narrow bandpass filters set to detect wavelengths of light corresponding to specific pigment and biomass response regions for vegetation;
transforming said digital images to an “
Algorithm Image”
representing a chlorophyll content for a stand of vegetation; and
interpreting said Algorithm Image information to predict plant stress or crop yield, wherein said step of transforming said digital images into an “
Algorithm Image”
further comprises the steps of;
calculating a ratio of a first digital image of a chlorophyll absorption wavelength and a second digital image of a near infrared plant tissue reflectance wavelength;
normalizing said ratio to produce a Red/Far Red Data Product; and
combining said first digital image of a chlorophyll absorption wavelength with said Red/Far Red Data Product, to produce said Algorithm Image, wherein said combination is created by mapping said first digital image and said Red/Far Red Data Product to different color forming devices. - View Dependent Claims (6, 7, 8, 9, 10, 11, 12, 13)
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13. A method as recited in claim 5, wherein the step of interpreting said Algorithm Image further comprises the step of comparing a standard false color image with said Algorithm Image.
Specification