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

Rodrigues, Marcos Sales; Alves, David Castro; Souza, Valéria Cristina de; Melo, Antonio Carlos de; Lima, Augusto Miguel do Nascimento

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dc.creator	Rodrigues, Marcos Sales
dc.creator	Alves, David Castro
dc.creator	Souza, Valéria Cristina de
dc.creator	Melo, Antonio Carlos de
dc.creator	Lima, Augusto Miguel do Nascimento
dc.date	2018-07-16
dc.date.accessioned	2023-03-30T19:35:07Z
dc.date.available	2023-03-30T19:35:07Z
dc.identifier	https://comunicatascientiae.com.br/comunicata/article/view/2645
dc.identifier	10.14295/cs.v9i1.2645
dc.identifier.uri	https://biblioteca-repositorio.clacso.edu.ar/handle/CLACSO/246785
dc.description	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.	en-US
dc.description	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.	pt-BR
dc.format	application/pdf
dc.language	eng
dc.publisher	Federal University of Piauí	en-US
dc.relation	https://comunicatascientiae.com.br/comunicata/article/view/2645/522
dc.rights	Copyright (c) 2018 Marcos Sales Rodrigues, David Castro Alves, Valéria Cristina de Souza, Antonio Carlos de Melo, Augusto Miguel do Nascimento Lima	en-US
dc.source	Comunicata Scientiae; Vol. 9 No. 1 (2018); 93-101	en-US
dc.source	Comunicata Scientiae; v. 9 n. 1 (2018); 93-101	pt-BR
dc.source	2177-5133
dc.source	2176-9079
dc.subject	deterministic	en-US
dc.subject	Mangifera indica L.	en-US
dc.subject	precision agriculture	en-US
dc.subject	semiarid	en-US
dc.subject	stochastic.	en-US
dc.subject	deterministic	pt-BR
dc.subject	Mangifera indica L.	pt-BR
dc.subject	precision agriculture	pt-BR
dc.subject	semiarid	pt-BR
dc.subject	stochastic	pt-BR
dc.title	Spatial interpolation techniques for site-specific irrigation management in a mango orchard	en-US
dc.title	Spatial interpolation techniques for site-specific irrigation management in a mango orchard	pt-BR
dc.type	info:eu-repo/semantics/article
dc.type	info:eu-repo/semantics/publishedVersion
dc.type	Artigo científico	en-US