Grapevine dormant pruning weight prediction using remotely sensed data

被引:71
|
作者
Dobrowski, SZ [1 ]
Ustin, SL
Wolpert, JA
机构
[1] Univ Calif Davis, Dept Land Air & Water Resources, Davis, CA 95616 USA
[2] Univ Calif Davis, Dept Viticulture & Enol, Davis, CA 95616 USA
关键词
precision agriculture; remote sensing; image analysis; vegetation indices; canopy reflectance; pruning weights;
D O I
10.1111/j.1755-0238.2003.tb00267.x
中图分类号
TS2 [食品工业];
学科分类号
0832 ;
摘要
Aerial image analysis was utilised to predict dormant pruning weights between two growing seasons. We utilised an existing in-row spacing trial in order to examine the relationship between dormant pruning weights and remotely sensed data. The experimental vineyard had a constant between-row spacing (2.44 m) and five different in-row spacings (0.91, 1.52, 2.13, 2.74 and 3.35 m) resulting in spatial variation in canopy volume and dormant pruning weights (kg/metre of row). It was shown that the ratio vegetation index (NIR/R) was linearly correlated with field-wide measurements of pruning weight density (dormant pruning weight per metre of canopy) for both the 1998 and 1999 growing seasons (r(2) = 0.68 and 0.88, respectively). Additionally, it was shown that the regression parameters remained consistent between the two growing seasons allowing for an inter-annual comparison such that the vegetation index vs canopy parameter relationship determined for the 1998 growing season was used to predict field-wide pruning weight densities in the 1999 growing season prior to harvest.
引用
收藏
页码:177 / 182
页数:6
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