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| Titel: |
Estimating vegetation coverage in wheat using digital images |
| Auteur: |
Lukina, E. V. Stone, M. L. Raun, W. R. |
| Verschenen in: |
Journal of plant nutrition |
| Paginering: | Jaargang 22 (1999) nr. 2 pagina's 341-350 |
| Jaar: |
1999 |
| Inhoud: |
No method exists to reliably predict percent vegetation coverage using indirect measures. This study was conducted to evaluate the use of digital image processing techniques applied to digital color, red-green-blue (RGB), images of crop canopies to estimate percent vegetation coverage and biomass. Two field experiments with winter wheat (Triticum aestivum L.) “Tonkawa”; were planted in October 1996 and 1997 at Perkins, OK on a Teller sandy loam (Udic Argiustoll) and at Tipton, OK on a Tipton silt loam (Pachic Argiustoll). Plot images from winter wheat canopies were taken using a Kodak DC40 Digital Camera (1995)1 with an image resolution of 756 × 504 pixels. Spectral irradiance readings were taken from wheat canopies in red (671±6 nm) and near infrared (780±6 nm) wavelengths, and normalized difference vegetation index (NDVI) was calculated. Percent vegetation coverage was estimated using image-processing routines in Micrografx Picture Publisher® version 7.0. The digital images were converted from 8-bit RGB tagged image file format (TIFF) files, which were produced by processing the images from the camera with Photo Enhancer®, to binary pseudo-color images. Percent of pixels corresponding to the vegetation color was then calculated and used as the percent coverage for each plot. Binary pseudo-color images provided useful estimates of percent vegetation coverage that were highly correlated with wheat canopy NDVI measurements. |
| Uitgever: |
Taylor & Francis |
| Bronbestand: |
Elektronische Wetenschappelijke Tijdschriften |
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