Phosphorus Sensing for Fresh Soils using Visible and Near Infrared Spectroscopy

Maleki, Mohammad Reza; Holm, Lieven Van; Ramón, Herman; Merckx, Roel; Baerdemaeker, Josse De; Mouazen, Abdul Mounem

doi:10.1016/j.biosystemseng.2006.07.015

Cited by 79 publications

(45 citation statements)

References 18 publications

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“…Chang et al (2001) found that Mehlich III (Mehlich, 1984) extractable cations in general were better predicted than those extracted by NH4OAc. Bogrekci and Lee (2005) and Maleki et al (2006) suggested that P correlates to the vis-NIR through different soil components that bind to phosphorus. If this is the case, it can also be assumed that there are differences in the correlations between different extraction methods for P and such P-soil complexes.…”

Section: Plant Nutrientsmentioning

confidence: 99%

Visible and Near Infrared Spectroscopy in Soil Science

Stenberg

Rossel

Mouazen

et al. 2010

Advances in Agronomy

1,064

845

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This chapter provides a review on the state of soil visible-near infrared (vis-NIR) spectroscopy. Our intention is for the review to serve as a source of up-to date information on the past and current role of vis-NIR spectroscopy in soil science. It should also provide critical discussion on issues surrounding the use of vis-NIR for soil analysis and on future directions. To this end, we describe the fundamentals of visible and infrared diffuse reflectance spectroscopy and spectroscopic multivariate calibrations. A review of the past and current role of vis-NIR spectroscopy in soil analysis is provided, focusing on important soil attributes such as soil organic matter (SOM), minerals, texture, nutrients, water, pH, and heavy metals. We then discuss the performance and generalization capacity of vis-NIR calibrations, with particular attention on sample pre-tratments, co-variations in data sets, and mathematical data preprocessing. Field analyses and strategies for the practical use of vis-NIR are considered. We conclude that the technique is useful to measure soil water and mineral composition and to derive robust calibrations for SOM and clay content. Many studies show that we also can predict properties such as pH and nutrients, although their robustness may be questioned. For future work we recommend that research should focus on: (i) moving forward with more theoretical calibrations, (ii) better understanding of the complexity of soil and the physical basis for soil reflection, and (iii) applications and the use of spectra for soil mapping and monitoring, and for making inferences about soils quality, fertility and function. To do this, research in soil spectroscopy needs to be more collaborative and strategic.

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Section: Plant Nutrientsmentioning

confidence: 99%

Visible and Near Infrared Spectroscopy in Soil Science

Stenberg

Rossel

Mouazen

et al. 2010

Advances in Agronomy

1,064

845

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“…Promising results have for example been reported for prediction of e.g. pH (Malley et al, 1999;Dunn et al, 2002;van Vuuren et al, 2006), various forms of phosphorus (Malley et al, 1999;Daniel et al, 2003;Bogrekci and Lee, 2005;Maleki et al, 2006), potassium (Chang et al, 2001;van Vuuren et al, 2006;Zornoza et al, 2008) and magnesium (Malley et al, 2000;Shepherd and Walsh, 2002;van Groenigen et al, 2003;Maleki et al, 2006).…”

Section: Introductionmentioning

confidence: 99%

Increased sample point density in farm soil mapping by local calibration of visible and near infrared prediction models

2010

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For use as decision support for variable rate applications in precision agriculture, the commonly used sample point density of one sample per hectare is often not enough. However, increasing the sampling density using laboratory analyses is too expensive for farmers to implement. It is therefore important to find methods for rationalisation. To this end, farm-scale visible and near infrared reflection (vis-NIR) calibrations were established on two farms in southern Sweden (Hacksta and Sjöstorp) for soil texture, soil organic matter, total N, pH and plant-available P, K and Mg. By keeping the laboratory analyses to a minimum to be used for vis-NIR calibrations and only collecting vis-NIR spectra from the vast majority of the samples, the sampling density could be increased without significantly increasing the cost. In this study 25 samples were used in the calibrations. Six different calibration sample selection methods were compared, selected from three different datasets originating from a larger context aiming at covering soil variations. Using only 25 calibration samples resulted in good predictions for clay at both farms, r 2 values of 0.81 and 0.89 and RMSEP values of 3.6 and 3.9%. Sand, soil organic matter and total nitrogen were well predicted at Hacksta (r 2 =0.87, 0.90 and 0.89 and RMSEP=3.0, 0.28 and 0.018% respectively) but 25 samples proved to be too few at the geologically divided farm Sjöstorp. For predicting pH and plant-available P, K and Mg, more than 25 calibration samples were needed at both farms, although with 75% of all reference samples (92 and 94 at Hacksta and Sjöstorp respectively) in the calibration these parameters also showed potential for building useful NIR calibrations (RPD values between 2.3 and 2.8 except for the predictions for pH at one of the farms resulting in an RPD value of 1.6). However, predictions for silt content were less reliable and the small number of calibration samples was not the limiting factor in this case. The promising results are encouraging for further development of costeffective high resolution farm soil maps using NIR spectroscopy.

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“…A plethora of literature can be found on the use of vis-NIR spectroscopy for the rapid assessment of a wide range of soil physicochemical properties including pH, soil colour, soil texture, lime requirement, organic carbon, total carbon, total nitrogen, plant-available P, K, Mg, exchangeable Al, Ca, K, electrical conductivity Viscarra Rossel and Behrens, 2010;Viscarra Rossel et al, 2006a, b;Mouazen et al, 2006Mouazen et al, , 2007Mouazen et al, , 2009Mouazen, 2006;Maleki et al, 2006;Gomez et al, 2008a;Canasveras et al, 2010;Wetterlind et al, 2010). Other soil physicochemical properties are soil inorganic carbon, total iron, mineral composition, cation exchange capacity (Brown et al, 2006;Gomez et al, 2008b), moisture content, soil roughness, surface crust (Whiting et al, 2004;Mouazen et al, 2005;Dilawari et al, 2006), nitrogen Kjeldahl (NKj) content .…”

Section: Soil Sciencementioning

confidence: 99%

Towards enhancing sustainable reuse of pre-treated drill cuttings for construction purposes by near-infrared analysis: A review

Okparanma¹,

Araka²,

Ayotamuno³

et al. 2018

J. Civ. Eng. Constr. Technol.

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Sustainable reuse of pre-treated drill cuttings (a hazardous waste) as part substitute for fine aggregate in concrete for construction purposes is becoming increasingly attractive; however, issues remain. With recent studies focusing on the use of near-infrared spectroscopic technique for non-invasive determination of chloride concentration in concrete structures, this review examines the applicability of this new technique in the rapid determination of other equally important physicochemical characteristics of concrete produced with this hazardous waste. The nature, source, composition, ecological effects of, and management options for drill cuttings are reviewed. Furthermore, the principles of near-infrared diffuse reflectance spectroscopy are highlighted and lessons from its practical applications in soil science and petrochemical, environmental, and civil engineering are discussed. A framework for a rapid near-infrared analysis of concrete produced with pre-treated drill cuttings for enhanced sustainability as a construction material is also proposed.

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Phosphorus Sensing for Fresh Soils using Visible and Near Infrared Spectroscopy

Cited by 79 publications

References 18 publications

Visible and Near Infrared Spectroscopy in Soil Science

Visible and Near Infrared Spectroscopy in Soil Science

Increased sample point density in farm soil mapping by local calibration of visible and near infrared prediction models

Towards enhancing sustainable reuse of pre-treated drill cuttings for construction purposes by near-infrared analysis: A review

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