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--- opensci:2023:scidata:sciiza [2023/05/15 17:22] – izael
+++ opensci:2023:scidata:sciiza [2024/03/23 20:17] (atual) – edição externa 127.0.0.1
@@ Linha 1: / Linha 1: @@
-This exercise aimed to colected the database published in [[https://www.nature.com/sdata/ | Scientific date]] to analyse. I have chosen the “Ground reference data for sugarcane biomass estimation in São Paulo state, Brazil”
+This exercise aimed to colected the database published in [[https://www.nature.com/sdata/ | Scientific date]] to analyse. I have chosen the  [[https://www.nature.com/articles/sdata2018150|“Ground reference data for sugarcane biomass estimation in São Paulo state, Brazil”]]
 **Description of the article**
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 **Objective of this exercise**
-One important variable colected in the article was the Leaf area index. The Leaf area index (LAI) is a variable represents measure the area of green leaf in an area of crop field. This variable is important to meassure the intercepted solar radiantion, whchi is linked to the potential photosythese of the planta. Moreover, the LAI is linked to other procesess, such as, transpiration and gas echange . Thus, estimate this variable is important as referecen of plant health status. However, the LAI is a result of differents traits of the plant and undestand this relationship is essitial to ensure LAI estimation. With that, to enhance the article database analysi, we peformed a comparations between LAI and other variables colected in the filed: Leaf length, Stalk height, Stalk thickness and Cane density
+One important variable collected in the article was the Leaf area index. The Leaf area index (LAI) is a variable represents measures the area of green leaf in an area of a crop field. This variable is important to measure the intercepted solar radiation, which is linked to the potential photosynthesis of the plant. Moreover, the LAI is linked to other processes, such as transpiration and gas exchange. Thus, estimating this variable is important as a reference to plant health status. However, the LAI is a result of different traits of the plant, and understanding this relationship is essential to ensure LAI estimation. With that, to enhance the article database analysis, we performed a comparations between LAI and other variables collected in the field: Leaf length, Stalk height, Stalk thickness, and Cane density
 **Results**
-The LAI had a significance (p < 0.001) positive correlation with three of four variable analysed, Leaf length, Stalk height, Stalk thickness. The higher higer correlation ocorreud with Stalk thickness (R² = 0.7) follow by Leaf length (R² = 0.61 and Stalk height (R² = 0.46). The cane density had no significance with LAI.
+The LAI had a significant (p < 0.001) positive correlation with three of the four variables analyzed, Leaf length, Stalk height, and Stalk thickness. The higher correlation occurred with Stalk thickness (R² = 0.7) follow by Leaf length (R² = 0.61) and Stalk height (R² = 0.46). The cane density had no significance with LAI.
 {{:opensci:2023:scidata:lai_corr_sugarcane.png?800|}}
+Figure 1. Relationship between leaf area index and four different variables leaf length, stalk height, stalk thickness, and cane density.
+[[https://posit.cloud/content/5889298|Code avaliable]]