Quantifying Turfgrass Cover Using Digital Image Analysis
By M. Richardson, D. Karcher, L. C. Purcell. 2001
503 citations recorded by the source corpus.
Subfields: Ecology, Environmental Chemistry, Nature and Landscape Conservation
View Paper: https://www.semanticscholar.org/paper/be2deac7429f23fc9426502035cadd820c48f434
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Ecology
- Tyson E. Ochsner
- Andres Patrignani
- M. Schiavon
- Elena Sevostianova
- B. Leinauer
- Matteo Serena
- D. VanLeeuwen
- D. Karcher
In Environmental Chemistry
- Tyson E. Ochsner
- Andres Patrignani
- M. Schiavon
- Elena Sevostianova
- B. Leinauer
- Matteo Serena
- D. VanLeeuwen
- D. Karcher
In Nature and Landscape Conservation
- Tyson E. Ochsner
- Andres Patrignani
- M. Schiavon
- Elena Sevostianova
- B. Leinauer
- Matteo Serena
- D. VanLeeuwen
- D. Karcher
Citations in the corpus
- Using digital image analysis and spectral reflectance data to quantify damage by greenbug (Hemitera: Aphididae) in winter wheat (2006, background): “Consequently, traditional visual damage and disease quantifications in plants suffer from a lack of accuracy and precision ( Horst et al., 1984; Richardson et al., 2001; Nutter et al., 2002; Karcher and Richardson, 2003; Steddom et al., 2004).”
- Breeding for organic agriculture: the example of winter wheat in Austria (2008, background): “For instance rating of plant growth habit, leaf habit and inclination, visual scoring or image analysis of ground cover ( Richardson et al. 2001 ) is more feasible for a practical breeder than light interception measurement or the determination of weed biomass per unit area (Hoad et al. 2005).”
- Quantifying Turfgrass Color Using Digital Image Analysis (2003, methodology): “Soybean canopy coverage and light interception percentage turfgrass cover (Richardson et al., 2001) and measurements using digital imagery.”
- Digital Image Analysis and Spectral Reflectance to Determine Turfgrass Quality (2014, methodology): “Specifi cally, DIA has been successfully used by researchers to assess turfgrass color (expressed as DGCI) and PCov (Karcher and Richardson, 2003; Richardson et al., 2001) since it was documented that such an analysis provides an accurate estimation of both parameters.”
- Canopeo: A Powerful New Tool for Measuring Fractional Green Canopy Cover (2015, methodology): “Canopy cover has traditionally been measured using subjective methods (Richardson et al., 2001; Robson et al., 2013).”
- Drought Tolerance of Tall Fescue Populations Selected for High Root/Shoot Ratios and Summer Survival (2008, methodology): “The response of entries to drought stress was evaluated weekly using digital image analysis techniques (Richardson et al., 2001) to quantify the percent green turf cover for each plot as drought became more severe.”
- Zoysiagrass Species and Genotypes Differ in Their Winter Injury and Freeze Tolerance (2007, methodology): “Digital images were taken of each plot once weekly with a Nikon Coolpix 3200 (Nikon, Melville, NY) digital camera mounted on a monopod to ensure a consistent height from the lens to the soil surface (1.05 m). Coverage of zoysiagrass was determined using digital image analysis (SigmaScan Pro, Systat ”