Apparent soil electrical conductivity mapping as an agricultural management tool in arid zone soils

Lesch, Scott M.; Corwin, Dennis L.; Robinson, David A.

doi:10.1016/j.compag.2004.11.007

Cited by 123 publications

(83 citation statements)

References 17 publications

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“…Some researchers Corwin and Lesch, 2005a;Corwin and Lesch, 2005b;Corwin et al, 2006;Kuhn et al, 2009;Lesch et al, 2005;Morari et al, 2009;Moral, et al, 2010;Saey et al, 2009;Yan et al, 2007a;Yan et al, 2007b;Yan et al, 2007c;Yan et al, 2008) have demonstrated the important role played by soil electrical parameters in explaining the variability of physical-chemical soil properties and crop yield. This study aimed to define management zones for coffee production fields based on the spatial variability of apparent soil electrical conductivity.…”

Section: Introductionmentioning

confidence: 99%

Definition of management zones in coffee production fields based on apparent soil electrical conductivity

Valente¹,

Queiroz²,

Pinto³

et al. 2012

Sci. agric. (Piracicaba, Braz.)

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Fertilizer application at variable rates requires dense sampling to determine the resulting field spatial variability. Defining management zones is a technique that facilitates the variable-rate application of agricultural inputs. The apparent electrical conductivity of the soil is an important factor in explaining the variability of soil physical-chemical properties. Thus, the objective of this study was to define management zones for coffee (Coffea Arabica L.) production fields based on spatial variability of the apparent electrical conductivity of the soil. The resistivity method was used to measure the apparent soil electrical conductivity. Soil samples were collected to measure the chemical and physical soil properties. The maps of spatial variability were generated using ordinary kriging method. The fuzzy k-means algorithm was used to delimit the management zones. To analyze the agreement between the management zones and the soil properties, the kappa coefficients were calculated. The best results were obtained for the management zones defined using the apparent electrical conductivity of the soil and the digital elevation model. In this case, the kappa coefficient was 0.45 for potassium, which is an element that is associated with quality coffee. The other variable that had a high kappa coefficient was remaining phosphorous; the coefficient obtained was 0.49. The remaining phosphorus is an important parameter for determining which fertilizers and soil types to study.

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Section: Introductionmentioning

confidence: 99%

Definition of management zones in coffee production fields based on apparent soil electrical conductivity

Valente¹,

Queiroz²,

Pinto³

et al. 2012

Sci. agric. (Piracicaba, Braz.)

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“…Los resultados anteriores destacan las ventajas de la identificación de las ZM a partir de la CEa y además confirman que el análisis de esos lotes requiere considerar la heterogeneidad de los contenidos de sales y de la textura entre ZM, lo cual coincide con lo reportado por otros investigadores Lesch et al, 2005). El análisis de resultados requiere considerar las tres vías por las cuales se conduce la corriente en el suelo: i) fase líquida (depende principalmente del Wsc); ii) fase sólida/líquida, con presencia de cationes intercambiables disueltos en el agua, iii) fase sólida, con partículas de suelo en contacto entre sí .…”

Section: Salinidad Y Otras Propiedades Fisicoquímicas Del Suelo Por Zunclassified

Sensor de conductividad eléctrica aparente para definir zonas homogéneas de manejo en suelos salinos

Rojas

Guerra

Arévalo

et al. 2015

Rev. Colomb. Cienc. Hortic.

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“…The EM-38 can be used in two different orientations; vertically or horizontally. been widely used to assess soil salinity in agricultural areas (Corwin and Lesch 2003, 2005a, and 2005b, Isla et al 2003, Lesch and Corwin 2003, Lesch et al 2005, Cassel 2007) though its use in wetland soil applications has not been reported. Factors to be considered in wetland soil salinity remote sensing include variations in soil texture and taxonomy, soil moisture, topography, vegetation and litter cover which all affect electromagnetic response (Hanson and Kaita 1997, Suddeth et al 2005, Brevic et al 2006).…”

Section: Mapping Of Wetland Soil Salinity Using Electromagnetic Sensorsmentioning

confidence: 99%

Use of environmental sensors and sensor networks to develop water and salinity budgets for seasonal wetland real-time water quality management

Quinn

Ortega

Rahilly

et al. 2010

Environmental Modelling & Software

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Successful management of river salt loads in complex and highly regulated river basins such as the San Joaquin of California presents significant challenges to Information Technology.Models are used as means of simulating major hydrologic processes in the basin which affect water quality and can be useful as tools for organizing basin information in a structured and readily accessible manner. Models can also be used to extrapolate the results of system monitoring since it is impossible to collect data for every point and non-point source of a pollutant in the Basin. Fundamental to every model is the concept of mass balance. This paper describes the use of state-of-the-art sensor technologies deployed in concert to obtain the first water and salinity budgets for a 60,000 hectare tract of seasonally managed wetlands in the San Joaquin Basin of California. These sensor technologies are being combined with more traditional sensor techniques to support real-time water quality management (RTWQM) in the River Basin. This paper focuses on two innovative technologies -one, YSI Econet, which deals with continuous flow and salinity monitoring of surface water deliveries and seasonal wetland drainage and the second a remote sensing technology for mapping soil 2 salinity in the surface soils of these wetland areas. The paper describes the use of more traditional sensor technologies including a weather station, used to estimate wetland pond evaporation and moist soil plant evapotranspiration and in-situ groundwater water table loggers, used to estimate wetland pond seepage. The paper also discusses the problems associated with continuous data quality assurance and introduces a new software product which streamlines the process of data error correction and dissemination as part of a real-time salinity (RTSM) management program in the San Joaquin Basin.

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Apparent soil electrical conductivity mapping as an agricultural management tool in arid zone soils

Cited by 123 publications

References 17 publications

Definition of management zones in coffee production fields based on apparent soil electrical conductivity

Definition of management zones in coffee production fields based on apparent soil electrical conductivity

Sensor de conductividad eléctrica aparente para definir zonas homogéneas de manejo en suelos salinos

Use of environmental sensors and sensor networks to develop water and salinity budgets for seasonal wetland real-time water quality management

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