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.
Analysed data
