See more from this Session: Graduate Student Poster Competition: Breeding, Physiology and Stress Management
Monday, November 1, 2010
Long Beach Convention Center, Exhibit Hall BC, Lower Level
Published research has indicated that turfgrass quality, as assessed by color, can be objectively quantified using color indices developed from digital visual photography. In this study, the effects of several different stresses and treatments were evaluated using multiple forms of digital image analysis. Infrared thermal imaging was used in conjunction with several micrometeorological parameters to assess turfgrass quality via vapor pressure deficit measurements. Both visual and near-infrared (NIR) imagery systems were used to correlate turfgrass quality and resistance to drought and heat stresses. In addition, a simple algorithm to quantify percentage of leaf firing was developed based on visual digital analysis, serving as an indirect, objective estimate of turfgrass visual quality. This algorithm was highly correlated (R2 = 0.79) with subjective visual estimates. A Light Red Color Index (LRCI) was also developed to correlate relative water status of several different turfgrass species using NIR technology, which quantified statistical differences between drought-stressed turfgrass and controls. Other results will be discussed.