Data/hora: 12/06/2024 01:09:34

Provedor de dados: | 124
País: | Brazil
Título: | Fuzzy logic and geostatistics in studying the fertility of soil cultivated with the rubber tree
Autores: | Lima,Julião Soares de Sousa; Silva,Samuel de Assis; Santos,Adilson Almeida dos; Altoé,Marcelo Soares.
Data: | 2018-06-01
Ano: | 2018
Palavras-chave: | Soil management; Map of fertility; Fuzzy logic.
Resumo: | ABSTRACT Knowledge of the spatial variability of soil attributes is an aid to soil management. The aim of this study was to apply fuzzy logic and geostatistics in defining the spatial variability of soil fertility, in soil cultivated with the rubber tree. Soil samples from the 0-0.20 m and 0.20-0.40 m layers were collected in a stratified random sampling grid, with a shortest distance of 6 m, for a total of 60 points. The chemical attributes were P, K, Ca, Mg, BS, CEC and V. The spatial dependence of the attributes was determined, and the maps were constructed using ordinary kriging interpolation. The interpolated values were transformed into degrees of pertinence (FI), with the lower and upper limits previously defined, using an increasing model. The nutrient P displayed values in both layers below the recommended lower limit (&lt; 20 mg dm-3). The rules of inference indicated that the total area shown in the fuzzy maps of soil fertility requires the application of correctives and fertiliser, as it has an FI &lt; 0.50 and a percentage area &gt; 50%. This methodology reduced the number of maps for interpreting soil fertility in the area, enabling visualisation of the spatial and gradual variability of the needs of the region.
Tipo: | Info:eu-repo/semantics/article
Idioma: | Inglês
Identificador: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902018000200228
Editor: | Universidade Federal do Ceará
Relação: | 10.5935/1806-6690.20180026
Formato: | text/html
Fonte: | Revista Ciência Agronômica  v.49 n.2 2018
Fonte: | info:eu-repo/semantics/openAccess