Voltar
Artigo Acesso aberto Produção Nacional Revisado por pares
BIBTEX RIS

Estimating soil loss by laminar erosion using precision agriculture computational tools

2022; UNIVERSIDADE FEDERAL DE CAMPINA GRANDE; Volume: 26; Issue: 12 Linguagem: Inglês

10.1590/1807-1929/agriambi.v26n12p907-914

ISSN

1807-1929

Autores

Evelin T. S. Krug, Gláucio José Gomes, Eduardo Godoy de Souza, Luciano Gebler, Ricardo Sobjak, Cláudio Leones Bazzi,

Tópico(s)

Geography and Environmental Studies

Resumo

ABSTRACT The study aimed to identify and evaluate the spatial variability in laminar erosion in areas using precision agriculture tools. Soil data from three properties in the western region of Paraná state, Brazil, were used: one in the municipality of Céu Azul (area A) and two in Serranópolis do Iguaçu (areas B and C). To identify discrepant data (outliers), analysis of the dispersion of quartiles was performed using a box-plot graph. Data normality was verified using the Kolmogorov-Smirnov test. A spatial analysis was performed using AgDataBox-Map software. The parameters of the universal soil loss equation were estimated and used with map algebra to produce a model to identify areas susceptible to erosion. Area A (soil loss estimate = 0-200 t ha-1 per year) presented greater susceptibility to erosion than areas B and C (soil loss estimate = 0-150 t ha-1 per year); however, all areas had a low susceptibility to erosion.

Referência(s)