首页> 外文期刊>International Journal on Smart Sensing and Intelligent Systems >EVALUATION OF DIFFERENT SENSING APPROACHES CONCERNING TO NONDESTRUCTIVE ESTIMATION OF LEAF AREA INDEX (LAI) FOR WINTER WHEAT
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EVALUATION OF DIFFERENT SENSING APPROACHES CONCERNING TO NONDESTRUCTIVE ESTIMATION OF LEAF AREA INDEX (LAI) FOR WINTER WHEAT

机译:关于冬小麦叶面积指数(LAI)非破坏性估计的不同传感方法

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Different approaches of non-destructive estimation of the LAI in winter wheat were compared. Plant height had weak relation with the LAI, while estimated biomass showed high logarithmic relationship (R~2=0.839). NDRE and REIP were logarithmically well related to the LAI (R~2=0.726 and 0.779 respectively). Saturation effect of NDRE and REIP was less than NDVI. Some RGB-based indices also showed good potential to estimate the LAI. Among the indices, Gm, GMB, RMB, and NRMB were better related to the LAI. The results indicated that digital cameras can be used as an affordable and simple approach for assessment of the LAI of crops.
机译:比较了冬小麦赖莱的不同探测方法。植物高度与莱效弱,估计生物质显示出高对数关系(R〜2 = 0.839)。 NDRE和REIP与LAI(分别为R〜2 = 0.726和0.779)对数良好。 NDRE和REIP的饱和效果小于NDVI。一些基于RGB的索引还显示出估计赖的良好潜力。在指数,GM,Gmb,人民币和NRMB与赖有更好的关系。结果表明,数码相机可用作评估作物的实惠且简单的方法。

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