LAI Estimations of Coffee Hedges through different methods.

The attached excel file has the datasets for the process described on the paper submitted by Castro-Pacheco et al, with the title "Visual Assessment of Leaf Area Index in Coffee (Coffea arabica L.) Fields." Two datasets are shown and described. First, a main dataset containing the results from the the first experimentations done, in which the Leaf Area Index (LAI) was estimated with three different approaches on 80 different sampling points. These approaches were: direct defoliation, visual assesment from trained persons, and through the use of specialized equipment (LICOR LAI-2200C or Accupar LP-80 Ceptometer). The second -supplementary- dataset corresponds to a second experimentation done, which included 40 sampling points. In these points, LAI was still estimated with the same three approaches, but two different protocols were tested with the instruments.本附件Excel文件包含Castro-Pacheco等人提交的题为《咖啡（Coffea arabica L.）田叶面积指数目视评估》的论文所述研究流程对应的数据集。本文共介绍并展示两类数据集：第一类为主数据集，收录了首轮试验的测定结果——该试验在80个不同采样点上，采用三种不同方法估算叶面积指数（Leaf Area Index, LAI）。上述三种方法分别为：直接脱叶法、经培训人员的目视评估法，以及借助专用设备（LICOR LAI-2200C或Accupar LP-80 Ceptometer）开展测定的方法。第二类为补充数据集，对应第二轮试验，共包含40个采样点。该轮试验仍采用前述三种方法估算叶面积指数，但针对所用仪器测试了两种不同的试验规程。