Nondestructive estimation of anthocyanin content in grapevine leaves
作者： Donald C. Rundquist , Anatoly A. Gitelson , Mark N. Merzlyak , Mark R. Steele
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摘要: The anthocyanin (Anth) content in leaves provides valuable information about the physiological status of plants. Thus, there is a need for accurate, efficient, practical methodologies to estimate this biochemical parameter. Reflectance measurement means quickly and nondestructively assessing leaf Anth situ. objective study was test overall performance accuracy nondestructive techniques estimating grapevine leaves. Relationships were established between four vegetation indices: NIR (near-infrared)/green, red/green, reflectance index (ARI, based on reflectances bands within green red-edge regions), modified (MARI, green, red edge, NIR). algorithms retrieval calibrated. prediction evaluated using an independent data set containing sampled from two field-grown grape cultivars (Saint Croix Saint Pepin) with no adjustment coefficients after initial calibration. Although validation widely variable, 3 45 nmol cm-2, ARI MARI capable accurately predicting root mean square error below cm-2 2.3 respectively. Such approach has potential developing simple hand-held field instrumentation accurate estimation analyzing digital airborne or satellite imagery assist making informed decisions regarding vineyard management.
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