Diferenças

Aqui você vê as diferenças entre duas revisões dessa página.

--- opensci:2023:scidata:sciiza [2023/05/15 17:14] – 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**
+**Description of the article**
 Sugarcane-producing countries must consider the importance of taking sugarcane production dynamics into account when making sustainable decisions. To effectively map these dynamics, sugarcane biophysical data is necessary, especially to tune agronomic models and validate indirect satellite measurements. The article presents a dataset comprising 3,500 sugarcane observations collected from four fields in the São Paulo state (Brazil) between October 2014 and October 2015. The dataset includes both non-destructive and destructive measurements of sugar cane plant. Thus, with this data it's possible to convert biometric measurements into biomass estimates based on empirical adjustment of allometric models. Therefore, the paper also addresses the precisions associated with the ground measurements and derived metrics, which can be useful for designing new sugarcane measurement campaigns.
-**Objective**
+**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 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]]