The Experts below are selected from a list of 327 Experts worldwide ranked by ideXlab platform

R. Mahdavi - One of the best experts on this subject based on the ideXlab platform.

Per Schjønning - One of the best experts on this subject based on the ideXlab platform.

  • Evaluation of a non-Destructive Technique for inorganic soil N measurement
    Geoderma, 2002
    Co-Authors: Ingrid K. Thomsen, Per Schjønning
    Abstract:

    Abstract The use of ceramic discs for non-Destructive estimations of soil nitrate (NO3−) may be an alternative to Destructive soil samplings and enable reuse of soil cores. This could especially be of great interest when working with intact soil cores where high variability can be expected and several replicates are needed. Furthermore, the non-Destructive method may be used for determination of initial soil nitrate in individual soil samples and thereby improve estimations of net mineralization compared with the use of an average value for initial nitrate content. In the present study, the use of the non-Destructive Technique for these purposes was evaluated on intact soil cores considerably larger than the soil samples used in the original test. Intact soil cores (100 cm3) were sampled from a field with a naturally occurring textural gradient (11–45% clay). The non-Destructive Technique was tested in four experiments that were carried out prior to incubation studies on these cores. Included in the studies were effects of soil texture and matric water potential to show the relationship between nitrate determined Destructively and non-Destructively. The non-Destructive Technique was inapplicable for estimation of bulk soil nitrate when used on soil samples with large internal gradients in nitrate content. The diffusion of nitrate in the soil matrix was probably too low to achieve equilibrium in soil samples of this size. The non-Destructive method could therefore not reduce the number of soil cores necessary for obtaining reliable data sets with intact soil cores. When the ceramic components were placed on soil with a more homogeneous distribution of nitrate and were allowed to equilibrate with the soil water for 4 h before drainage, the relationship between nitrate measured Destructively and non-Destructively was good (r2=0.83–0.96). It is concluded that the non-Destructive Technique for nitrate determination is a promising tool for improving the estimates of initial nitrate in soil samples in incubation studies, thereby enabling estimations of net nitrate mineralization. The Technique is especially an improvement over the common correction method (where an average value of initial nitrate derived from Destructive extraction of additional soil cores is subtracted) in incubation studies of short duration and in soil with high variations in initial nitrate. The non-Destructive Technique could not be used for ammonium (NH4+) determination probably because of a high cation exchange capacity in the ceramic components. However, this was not a problem for the soils studied due to the very low concentrations of ammonium.

Byoung-kwan Cho - One of the best experts on this subject based on the ideXlab platform.

  • non Destructive Technique for determining the viability of soybean glycine max seeds using ft nir spectroscopy
    Journal of the Science of Food and Agriculture, 2018
    Co-Authors: Dewi Kusumaningrum, Hoonsoo Lee, Santosh Lohumi, Moon S. Kim, Byoung-kwan Cho
    Abstract:

    The viability of seeds is important for determining their quality. A high-quality seed is one that has a high capability of germination that is necessary to ensure high productivity. Hence, developing technology for the detection of seed viability is a high priority in agriculture. Fourier transform near-infrared (FT-NIR) spectroscopy is one of the most popular devices among other vibrational spectroscopies. This study aims to use FT-NIR spectroscopy to determine the viability of soybean seeds.; Results: Viable and artificial ageing seeds as non-viable soybeans were used in this research. The FT-NIR spectra of soybean seeds were collected and analysed using a partial least-squares discriminant analysis (PLS-DA) to classify viable and non-viable soybean seeds. Moreover, the variable importance in projection (VIP) method for variable selection combined with the PLS-DA was employed. The most effective wavelengths were selected by the VIP method, which selected 146 optimal variables from the full set of 1557 variables.; Conclusions: The results demonstrated that the FT-NIR spectral analysis with the PLS-DA method that uses all variables or the selected variables showed good performance based on the high value of prediction accuracy for soybean viability with an accuracy close to 100%. Hence, FT-NIR Techniques with a chemometric analysis have the potential for rapidly measuring soybean seed viability. © 2017 Society of Chemical Industry.; © 2017 Society of Chemical Industry.

  • Non‐Destructive Technique for determining the viability of soybean (Glycine max) seeds using FT‐NIR spectroscopy
    Journal of the science of food and agriculture, 2017
    Co-Authors: Dewi Kusumaningrum, Hoonsoo Lee, Santosh Lohumi, Moon S. Kim, Byoung-kwan Cho
    Abstract:

    The viability of seeds is important for determining their quality. A high-quality seed is one that has a high capability of germination that is necessary to ensure high productivity. Hence, developing technology for the detection of seed viability is a high priority in agriculture. Fourier transform near-infrared (FT-NIR) spectroscopy is one of the most popular devices among other vibrational spectroscopies. This study aims to use FT-NIR spectroscopy to determine the viability of soybean seeds.; Results: Viable and artificial ageing seeds as non-viable soybeans were used in this research. The FT-NIR spectra of soybean seeds were collected and analysed using a partial least-squares discriminant analysis (PLS-DA) to classify viable and non-viable soybean seeds. Moreover, the variable importance in projection (VIP) method for variable selection combined with the PLS-DA was employed. The most effective wavelengths were selected by the VIP method, which selected 146 optimal variables from the full set of 1557 variables.; Conclusions: The results demonstrated that the FT-NIR spectral analysis with the PLS-DA method that uses all variables or the selected variables showed good performance based on the high value of prediction accuracy for soybean viability with an accuracy close to 100%. Hence, FT-NIR Techniques with a chemometric analysis have the potential for rapidly measuring soybean seed viability. © 2017 Society of Chemical Industry.; © 2017 Society of Chemical Industry.

P. Behjati - One of the best experts on this subject based on the ideXlab platform.

Tohru Abe - One of the best experts on this subject based on the ideXlab platform.

  • Non-Destructive Technique for assessing cement-treated ground
    Proceedings of the Institution of Civil Engineers - Ground Improvement, 2011
    Co-Authors: Yoshiharu Asaka, Tohru Abe
    Abstract:

    A new, non-Destructive Technique for investigating the strength of cement-treated ground has been developed. The Technique is based on the relationship between the unconfined compressive strength, qu, and the shear wave velocity, Vs, of cement-treated soil. Based on the Vs–qu relationship, the in situ strength of cement-treated ground can be estimated non-Destructively and immediately by measuring the Vs value of the ground using bender elements in the field. To demonstrate the effectiveness of this Technique, the ground at two actual construction sites was investigated using the Technique. The variation coefficient of the measured Vs values ranged from 0·1 to 0·15, and was independent of the curing time and original soil type. The variation coefficient of the Vs values was smaller than that of the unconfined compressive strength estimated by conventional unconfined compression tests on specimens sampled from the same cement-treated ground. The quality estimated by the Technique was consistent with the re...