Soil Investigations using Electromagnetic Induction and Ground-Penetrating Radar in Southwest Tennessee

Inman, Daniel; Freeland, R. S.; Ammons, J. T.; Yoder, R.

doi:10.2136/sssaj2002.0206

Cited by 30 publications

(19 citation statements)

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“…Apparent electrical conductivity (EC a ) has been shown to be strongly related to soil texture, moisture content, and CaCO 3 (Johnson et al 2001;Inman et al 2002). In spite of the strong relationship between soil EC a and some soil properties, management zones based on soil EC a have been poorly correlated with grain yields (Johnson et al 2003).…”

Section: Theorymentioning

confidence: 99%

A synthesis of multi-disciplinary research in precision agriculture: site-specific management zones in the semi-arid western Great Plains of the USA

et al. 2008

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Researchers from Colorado State University, in collaboration with scientists from the United States Department of Agriculture (USDA), initiated a long-term multidisciplinary study in precision agriculture in 1997. Site-specific management zones (SSMZ) were investigated as a means of improving nitrogen management in irrigated maize cropping systems. The objective was to develop precise nutrient management strategies for semi-arid irrigated cropping systems. This study was conducted in five fields in northeastern Colorado, USA. Two techniques for delineating management zones were developed and compared: SSMZ and yield-based management zones (YBMZ). Nitrogen uptake and grain yield differences among SSMZs were compared as were soil properties. Both management zone techniques were used to divide fields into smaller units that were different with regard to productivity potential (e.g., high zones had high productivity potential while low zones had low productivity potential). Economic analysis was also performed. Based on grain yield productivity, the SSMZs performed better than the YBMZ technique in most cases. Grain yield and N uptake between the low and high productivity management zones were statistically different for most site-years and N fertilizer rates (p \ 0.05). Soil properties helped to explain the productivity potential of the management zones. The low SSMZ was markedly different from the high SSMZ based on bulk density, organic carbon, sand, silt, porosity and soil moisture. Net returns ranged from 188 to 679 USD ha -1 . In two out of three site-years the variable yield goal strategy resulted in the largest net returns. In this study, the SSMZ approach delineates areas of different productivity accurately across the agricultural fields. The SSMZs are different with regard to soil properties as well as grain yield and N uptake. Site-specific management zones are an inexpensive and pragmatic approach to precise N management in irrigated maize.

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Section: Theorymentioning

confidence: 99%

A synthesis of multi-disciplinary research in precision agriculture: site-specific management zones in the semi-arid western Great Plains of the USA

et al. 2008

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“…Many studies have shown correlation of ECa with soil properties important for plant growth and crop yields including soil compaction, depth of claypan, soil water content, soil texture, drainage, TC, TN, soluble salts, extractable P and soil pH [3,[12][13][14]. Drier and coarser soils are less electrically conductive than wetter and finer soils [15]. Bronson et al [16] concluded that ECa can be used as potential tool to provide information about soil properties such as clay content and extractable Ca in the U.S. Southern High Plains, but that spatial covariance needs to be considered as it can improve estimation of ECa.…”

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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“…But electrical conductivity physically depends on soil moisture and texture. Wetter soil is electrically more conductive than drier soil and coarser soil tends to be less so than finer soil (Inman et al, 2002). However EC 2 was significantly related to u fc and u s and also to EC e for both soil depths (Table II).…”

Section: Resultsmentioning

confidence: 95%

Evaluation and integration of soil salinity and water data for improved land use of underproductive coastal area in Orissa

Das

Sethi

2010

Irrigation and Drainage

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Coastal agriculture in Orissa is predominantly rainfed and hence vulnerable owing to uncertain distribution of rainfall over time. Lack of irrigation support and salt stress affect crop growth and reduce yield as well. Good quality aquifer and low-saline soil are available but vary spatially. Promoting potential use of spatially varied resources, precise assessment of soil and water quality at micro-level is therefore imperative. In this study the soil salt stress, availability and quality of underground aquifers at different sites were evaluated in the neighbourhood area of Chilika, the largest brackish water lagoon of Asia. Integrating soil salinity, soil moisture content, aquifer availability and quality, various farming strategies specific to different sites were developed. These could trigger 1.59 to 2 times more production from its present level in that area. Where there is a diverse occurrence of resources, a precise estimation of those resources' potentials thus provides keys to develop cost-effective options for improving production in an underproductive area. Copyright # 2010 John Wiley & Sons, Ltd. RÉ SUMÉ L'agriculture du littoral de l'Orissa est essentiellement pluviale et donc vulnérable en raison de la distribution temporelles incertaine des précipitations. Le manque d'irrigation et le stress dû au sel affectent la croissance des cultures et ainsi réduisent le rendement. Un aquifère de bonne qualité et des sols peu salins sont disponibles, mais varient dans l'espace. Il est donc impératif de promouvoir l'utilisation des ressources potentielles variables dans l'espace, l'évaluation précise des sols et de la qualité de l'eau à micro-échelle. Dans cette étude, la salinité du sol, la disponibilité et la qualité des aquifères souterrains dans les différents sites ont été évalués dans la zone de Chilika, la plus grande lagune d'eau saumâtre de l'Asie. En intégrant la salinité du sol, la teneur en humidité des sols, la disponibilité et la qualité de l'aquifère, des stratégies agricoles spécifiques aux différents sites ont été développées. Celles-ci pourraient déclencher dans cette zone 1,59 à 2 fois plus de production par rapport au niveau actuel. Pour diverses occurrences de ressources, l'estimation précise des ressources potentielles fournit ainsi des clés pour développer des options efficaces pour améliorer la production des zones les moins productives.

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Soil Investigations using Electromagnetic Induction and Ground-Penetrating Radar in Southwest Tennessee

Cited by 30 publications

References 0 publications

A synthesis of multi-disciplinary research in precision agriculture: site-specific management zones in the semi-arid western Great Plains of the USA

A synthesis of multi-disciplinary research in precision agriculture: site-specific management zones in the semi-arid western Great Plains of the USA

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

Evaluation and integration of soil salinity and water data for improved land use of underproductive coastal area in Orissa

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