Spatial interpolation techniques for site-specific irrigation management in a mango orchard

Interpolation techniques can be a suitable approach to apply site-specific management for irrigation in fruit fields. However, which interpolation method will produce more accurate maps? In order to respond this question, the aim of this study was to test the performance of spatial interpolation tec...

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Bibliographic Details
Published in:Comunicata Scientiae 2018-01, Vol.9 (1), p.93-101
Main Authors: Rodrigues, Marcos Sales, Alves, David Castro, Souza, Valéria Cristina De, Melo, Antonio Carlos De, Lima, Augusto Miguel Do Nascimento
Format: Article
Language:English
Subjects:
Agriculture
Arid regions
Arid zones
Basis functions
Bulk density
Dependence
deterministic
Fruits
Hydrology
Interpolation
Irrigation
Kriging interpolation
Management
Mangifera indica L
Mangoes
Mathematical analysis
Methods
Moisture content
Physical properties
precision agriculture
Radial basis function
Semi arid areas
semiarid
Semiarid lands
Software
Soil
Soil density
Soil mapping
Soil physical properties
Soil properties
Soil testing
Soil texture
Soil water
Sole e água
Statistical methods
stochastic
Stochasticity
Texture
Water content
Weight
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Summary:Interpolation techniques can be a suitable approach to apply site-specific management for irrigation in fruit fields. However, which interpolation method will produce more accurate maps? In order to respond this question, the aim of this study was to test the performance of spatial interpolation techniques for mapping soil physical properties for site-specific irrigation management purpose in a mango orchard in the Brazilian semi-arid region. The experimental site was structured in a grid of 60 georeferenced points, which correspond to the number of mango trees spaced about 8 × 10-m in a fruit field in Petrolina county, Pernambuco. Soil texture, bulk density, volumetric water content at -0.01; -0.033; -0.06; -0.1; and -1.5 MPa, and soil water available were determined. Stochastic and deterministic interpolation methods were tested. Soil physical properties did not show spatial dependence preventing the interpolation by stochastic method (Kriging). However, it was possible to interpolate using deterministic methods such as inverse distance weight (IDW), local polynomial interpolation (LPI), and Radial basis functions (RBF). IDW and RBF showed the best results of map quality for physical properties, however, all interpolation method showed relative small errors and could be all used for delineating zones for site-specific irrigation management.
ISSN:2177-5133
2176-9079
2179-9079
2177-5133
DOI:10.14295/CS.v9i1.2645