Essa é uma revisão anterior do documento!
This exercise aimed to colected the database published in Scientific date to analyse. I have chosen the “Ground reference data for sugarcane biomass estimation in São Paulo state, Brazil”
Description
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
One important variable colected in the article was the Leaf area index. The Leaf area index (LAI) is a variable response to measure the area of green leaf in an area of filed. This variable is important to meassure the intercepted radianton, 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 analysis, we peformed a comparations between LAI and other variables colected in the filed: Leaf length, Stalk height, Stalk thickness and Cane density.
