The analysis of paddy soils in Korea using visible-near infrared spectroscopy for development of real-time soil measurement system

Kim, Yongjoo; Choi, Changhyun

doi:10.1007/s13765-013-3067-z

Cited by 5 publications

(3 citation statements)

References 40 publications

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“…This means the R 2 may get inflated and not actually reflect the predictive power of the model. However, the model errors for the prediction of SOM and pH are comparable with what has been obtained previously in soils from temperate, dryland farming (Terhoeven-Urselmans et al, 2008;Heinze et al, 2013) and in paddy soil (Kim and Choi, 2013).…”

Section: Modeling Soil Organic Matter Ph and Claysupporting

confidence: 86%

Diffusive Gradients in Thin Films as a Reference Method for Assessing Soil Phosphorus by Visual and Near‐Infrared Spectroscopy

et al. 2016

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Phosphorus (P) deficiency is a severe challenge in many agricultural areas around the globe, while at the same time, aquatic environments are threatened by leaching and runoff of excess P in other areas. Accurate, cheap, and rapid assessment of crop P needs and risk of P loss is therefore necessary to optimize the use of P fertilizer worldwide. The purpose of this study was to develop a method to predict soil P concentrations by visual and near-infrared spectroscopy using reference P concentrations determined by diffusive gradients in thin films (DGT); Olsen P results were included for comparison. The study was conducted on paddy soils from six main rice-producing ( L.) provinces in southern China. Using DGT P as a reference resulted in a better visual and near-infrared calibration to predict soil P concentrations, as compared with using Olsen P.

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Section: Modeling Soil Organic Matter Ph and Claysupporting

confidence: 86%

Diffusive Gradients in Thin Films as a Reference Method for Assessing Soil Phosphorus by Visual and Near‐Infrared Spectroscopy

et al. 2016

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“…Although a couple of studies conducted on determining properties of paddy soils based on laboratory-based vis-NIR spectroscopy [15] , [16] , to the best of our knowledge, there are few papers published describing the systematic use of in situ vis-NIR measurements to predict soil properties in paddy fields.…”

Section: Introductionmentioning

confidence: 99%

In Situ Measurement of Some Soil Properties in Paddy Soil Using Visible and Near-Infrared Spectroscopy

Shi

Huang

et al. 2014

PLoS ONE

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In situ measurements with visible and near-infrared spectroscopy (vis-NIR) provide an efficient way for acquiring soil information of paddy soils in the short time gap between the harvest and following rotation. The aim of this study was to evaluate its feasibility to predict a series of soil properties including organic matter (OM), organic carbon (OC), total nitrogen (TN), available nitrogen (AN), available phosphorus (AP), available potassium (AK) and pH of paddy soils in Zhejiang province, China. Firstly, the linear partial least squares regression (PLSR) was performed on the in situ spectra and the predictions were compared to those with laboratory-based recorded spectra. Then, the non-linear least-square support vector machine (LS-SVM) algorithm was carried out aiming to extract more useful information from the in situ spectra and improve predictions. Results show that in terms of OC, OM, TN, AN and pH, (i) the predictions were worse using in situ spectra compared to laboratory-based spectra with PLSR algorithm (ii) the prediction accuracy using LS-SVM (R2>0.75, RPD>1.90) was obviously improved with in situ vis-NIR spectra compared to PLSR algorithm, and comparable or even better than results generated using laboratory-based spectra with PLSR; (iii) in terms of AP and AK, poor predictions were obtained with in situ spectra (R2<0.5, RPD<1.50) either using PLSR or LS-SVM. The results highlight the use of LS-SVM for in situ vis-NIR spectroscopic estimation of soil properties of paddy soils.

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“…Also spectroscopy using Vis, NIR, and MIR light (Vis, 400–700 nm; NIR, 700–2500 nm; and MIR, 2500–50,000 nm) has been introduced successfully for determination of several soil characteristics. Light spectra do not contain direct information about atomic concentrations in the soil, why parameters that have been predicted successfully using these methods are mainly physical, in addition to nutrients with strong correlations to spectroscopically active molecules ( Malley et al, 1999 ; Chang et al, 2001 ; Sorensen and Dalsgaard, 2005 ; He et al, 2007 ; Terhoeven-Urselmans et al, 2008 ; Abdi et al, 2012 ; Kim and Choi, 2013 ).…”

Section: Soil Mineral Analysismentioning

confidence: 99%

Recent developments in fast spectroscopy for plant mineral analysis

Maarschalkerweerd

Husted

2015

Front. Plant Sci.

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Ideal fertilizer management to optimize plant productivity and quality is more relevant than ever, as global food demands increase along with the rapidly growing world population. At the same time, sub-optimal or excessive use of fertilizers leads to severe environmental damage in areas of intensive crop production. The approaches of soil and plant mineral analysis are briefly compared and discussed here, and the new techniques using fast spectroscopy that offer cheap, rapid, and easy-to-use analysis of plant nutritional status are reviewed. The majority of these methods use vibrational spectroscopy, such as visual-near infrared and to a lesser extent ultraviolet and mid-infrared spectroscopy. Advantages of and problems with application of these techniques are thoroughly discussed. Spectroscopic techniques considered having major potential for plant mineral analysis, such as chlorophyll a fluorescence, X-ray fluorescence, and laser-induced breakdown spectroscopy are also described.

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The analysis of paddy soils in Korea using visible-near infrared spectroscopy for development of real-time soil measurement system

Cited by 5 publications

References 40 publications

Diffusive Gradients in Thin Films as a Reference Method for Assessing Soil Phosphorus by Visual and Near‐Infrared Spectroscopy

Diffusive Gradients in Thin Films as a Reference Method for Assessing Soil Phosphorus by Visual and Near‐Infrared Spectroscopy

In Situ Measurement of Some Soil Properties in Paddy Soil Using Visible and Near-Infrared Spectroscopy

Recent developments in fast spectroscopy for plant mineral analysis

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