The use of electromagnetic induction techniques in soils studies

Doolittle, James; Brevik, Eric C.

doi:10.1016/j.geoderma.2014.01.027

Cited by 345 publications

(209 citation statements)

References 130 publications

(171 reference statements)

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“…The application of geospatial measurements of apparent soil electrical conductivity (EC a ) is a practical and efficient technique to quickly characterize the spatial high-resolution pattern of soil properties within fields and a less expensive alternative to manual gathering of soil quality indicators (Corwin and Lesch, 2005;Moral et al, 2010;Peralta and Costa, 2013;Doolittle and Brevik, 2014). Especially, the measurements of EC a have a great potential for optimizing soil sampling Serrano et al to better characterize the spatial pattern of edaphic properties influencing crop yield, which in turn can be used to define site-specific management units (Moral et al, 2010).…”

Section: Differential Vineyard Fertilizer Management Based On Nutrienmentioning

confidence: 99%

“…Especially, the measurements of EC a have a great potential for optimizing soil sampling Serrano et al to better characterize the spatial pattern of edaphic properties influencing crop yield, which in turn can be used to define site-specific management units (Moral et al, 2010). Nevertheless, this technique does have some limitations: results are site-specific and the correlations depend on complex interactions between soil variables (Peralta and Costa, 2013;Doolittle and Brevik, 2014 (Broge and Leblanc, 2000), so this can be seen as another rapid means of obtaining spatial information for detailed soil and canopy mapping.…”

Section: Differential Vineyard Fertilizer Management Based On Nutrienmentioning

confidence: 99%

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Differential vineyard fertilizer management based on nutrient,s spatio-temporal variability

Serrano

Silva

Shahidian

et al. 2017

J. Soil Sci. Plant Nutr.

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Conventionally, vineyard fertilizer management has been based on information from composite soil samples and no account has been taken of the existing spatial variability in soil fertility. This study presents a quantitative analysis of soil phosphorus (P 2 O 5 ) and potassium (K 2 O) content as well as pH carried out in an 80 ha vineyard, during 2011 and 2013 in order to identify their spatial variability and temporal stability. Additionally a quantitative analysis of plant P 2 O 5 and K 2 O content was carried out in 2013 with the objective of evaluating the spatial variability of plant nutrients. In 2013 a contact sensor was used to survey soil apparent electrical conductivity (EC a ) and an active optical sensor was used to measure the plant Normalized Difference Vegetation Index (NDVI). The results showed a low potential for implementing site-specific management of phosphorus fertilizer but an interesting potential for implementing site-specific management of potassium fertilizer and pH correction. The concentration of P 2 O 5 and K 2 O in the plant showed a CV<30%, with adequate values in almost the entire area of the field, in contrast to the concentration of these main macronutrients in the topsoil. These results show that for differential nutrient management of vineyards, plant nutrient concentration is a more stable tool than soil nutrients concentration. The EC a and the NDVI presented weak correlations with soil and plant concentration of, , respectively, P 2 O 5 and K 2 O, which shows that further development of vegetation operational sensors is needed to support decision making in the vineyard fertilization management.

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Section: Differential Vineyard Fertilizer Management Based On Nutrienmentioning

confidence: 99%

Section: Differential Vineyard Fertilizer Management Based On Nutrienmentioning

confidence: 99%

Differential vineyard fertilizer management based on nutrient,s spatio-temporal variability

Serrano

Silva

Shahidian

et al. 2017

J. Soil Sci. Plant Nutr.

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“…Geophysical methods such as electromagnetic induction (EMI) can be used to study the spatial variability of soil physical, chemical, and hydrological properties at the field to the small catchment scales [1][2][3][4][5][6]. The EMI technique can measure apparent soil electrical conductivity (ECa) by inducing an electrical current in the soil [7].…”

Section: Introductionmentioning

confidence: 99%

“…This method provides a relatively accurate, non-invasive, fast and inexpensive measurement of ECa [8][9][10]. Traditional soil sampling and EMI techniques together can provide better understanding of spatial variability in soils [1,11]. The ECa is influenced by soil properties such as salinity, temperature, water content and bulk density [12].…”

Section: Introductionmentioning

confidence: 99%

Spatial Relation of Apparent Soil Electrical Conductivity with Crop Yields and Soil Properties at Different Topographic Positions in a Small Agricultural Watershed

2016

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Use of electromagnetic induction (EMI) sensors along with geospatial modeling provide a better opportunity for understanding spatial distribution of soil properties and crop yields on a landscape level and to map site-specific management zones. The first objective of this research was to evaluate the relationship of crop yields, soil properties and apparent electrical conductivity (ECa) at different topographic positions (shoulder, backslope, and deposition slope). The second objective was to examine whether the correlation of ECa with soil properties and crop yields on a watershed scale can be improved by considering topography in modeling ECa and soil properties compared to a whole field scale with no topographic separation. This study was conducted in two headwater agricultural watersheds in southern Illinois, USA. The experimental design consisted of three basins per watershed and each basin was divided into three topographic positions (shoulder, backslope and deposition) using the Slope Position Classification model in ESRI ArcMap. A combine harvester equipped with a GPS-based recording system was used for yield monitoring and mapping from 2012 to 2015. Soil samples were taken at depths from 0-15 cm and 15-30 cm from 54 locations in the two watersheds in fall 2015 and analyzed for physical and chemical properties. The ECa was measured using EMI device, EM38-MK2, which provides four dipole readings ECa-H-0.5, ECa-H-1, ECa-V-0.5, and ECa-V-1. Soybean and corn yields at depositional position were 38% and 62% lower than the shoulder position in 2014 and 2015, respectively. Soil pH, total carbon (TC), total nitrogen (TN), Mehlich-3 Phosphorus (P), Bray-1 P and ECa at depositional positions were significantly higher compared to shoulder positions. Corn and soybeans yields were weakly to moderately (<±0.75) correlated with ECa. At the deposition position at the 0-15 cm depth ECa-H-0.5 was weakly correlated (r < ±0.50) with soil pH and was moderately correlated (r = ±0.50-±0.75) with organic matter (OM), calcium (Ca) and sulfur (S). Slope variation from 1%-20% at the research site had a strong influence on soil properties at watershed scale. When data from all topographic positions were combined together in all basins spatial interpolation between Mehlich-3 P and ECa-H-0.5 resulted in a larger cross validation RMSE compared to individual shoulder and backslope positions. Results demonstrated that topographic position should be considered while making correlations of ECa with soil properties. Methods of delineating topography positions presented in this paper can easily be replicated on other fields with similar landscape characteristics and EMI sensor based survey techniques can certainly improve and help in making detailed prediction maps of soil properties.

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“…Knowing this variability helps to establish proper soil and crop management and to ensure better use of available resources. Recent developments in sensing have led to an increase in surveys of spatial density of soil, and therefore better information regarding soil spatial and temporal variability (Doolittle and Brevik, 2014).…”

Section: Introductionmentioning

confidence: 99%

Temporal stability of electrical conductivity in a sandy soil

Pedrera‐Parrilla

Brevik

Giráldez

et al. 2016

International Agrophysics

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Understanding of soil spatial variability is needed to delimit areas for precision agriculture. Electromagnetic induction sensors which measure the soil apparent electrical conductivity reflect soil spatial variability. The objectives of this work were to see if a temporally stable component could be found in electrical conductivity, and to see if temporal stability information acquired from several electrical conductivity surveys could be used to better interpret the results of concurrent surveys of electrical conductivity and soil water content. The experimental work was performed in a commercial rainfed olive grove of 6.7 ha in the ‘La Manga’ catchment in SW Spain. Several soil surveys provided gravimetric soil water content and electrical conductivity data. Soil electrical conductivity values were used to spatially delimit three areas in the grove, based on the first principal component, which represented the time-stable dominant spatial electrical conductivity pattern and explained 86% of the total electrical conductivity variance. Significant differences in clay, stone and soil water contents were detected between the three areas. Relationships between electrical conductivity and soil water content were modelled with an exponential model. Parameters from the model showed a strong effect of the first principal component on the relationship between soil water content and electrical conductivity. Overall temporal stability of electrical conductivity reflects soil properties and manifests itself in spatial patterns of soil water content.

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The use of electromagnetic induction techniques in soils studies

Cited by 345 publications

References 130 publications

Differential vineyard fertilizer management based on nutrient,s spatio-temporal variability

Differential vineyard fertilizer management based on nutrient,s spatio-temporal variability

Spatial Relation of Apparent Soil Electrical Conductivity with Crop Yields and Soil Properties at Different Topographic Positions in a Small Agricultural Watershed

Temporal stability of electrical conductivity in a sandy soil

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