scholarly journals Radiographic analysis for the evaluation of polyembryony in Swingle citrumelo seeds

2018 ◽  
Vol 40 (2) ◽  
pp. 118-126
Author(s):  
Natália Arruda ◽  
Silvio Moure Cicero ◽  
Francisco Guilhien Gomes Junior
Keyword(s):  
Indirect Method ◽  
Seed Quality ◽  
Direct Method ◽  
Automated Systems ◽  
Radiographic Image ◽  
X Ray ◽  
Internal Morphology ◽  
Non Destructive ◽  
Swingle Citrumelo ◽  
Precision Test

Abstract: The polyembryony rate is a very important factor to consider when choosing a commercial rootstock. Currently, automated systems are used to improve seed quality analyses. X-ray testing is a fast, simple, non-destructive, high-precision test that allows to examine in detail the internal morphology of the seeds to identify damaged areas, their location and types of damage. In this context, the present research aimed to verify the possibility of using X-ray test to evaluate the polyembryony in Swingle citrumelo seeds. Seeds from seven lots were submitted to X-ray tests, direct method (embryo counts) and indirect method (germination). According to the results obtained, it was observed that there was a high coincidence between the number of embryos per seed analyzed using X-ray test and the direct method. Radiographic image analysis is efficient to evaluate the polyembryony in seeds of Swingle citrumelo.

scholarly journals Pengaruh Variasi Mutu Beton Bertulang Terhadap Cepat Rambat Gelombang Dengan Menggunakan Metode Non Destructive Test

2020 ◽  
Vol 14 (1) ◽  
pp. 60-69
Author(s):  
A.A. Lingga Ariya D. ◽  
◽  
Indradi Wijatmiko ◽  
Christin Remayanti Nainggolan ◽  
◽  
...  
Keyword(s):  
Reinforced Concrete ◽  
Indirect Method ◽  
Direct Method ◽  
Ultrasonic Pulse Velocity ◽  
Pulse Velocity ◽  
Reinforced Concrete Beams ◽  
Building Structures ◽  
Non Destructive ◽  
Test Objects

Preferably in testing, building structures need not be destroyed. Tests that can be used on the concrete can use non-destructive methods that do not damage the test objects. Examples of testing can use UPV tests that are aimed at knowing the quality of concrete from the pulse velocity. The test objects used in this study are reinforced concrete beams with dimensions 20 x 20 x 100 cm. Test objects are differentiated into 3 quality variations of reinforced concrete with quality of concrete12.5 MPa, 18.75 MPa, and 25 MPa. To conduct analysis of the concrete density used PUNDIT PL-200. Ultrasonic pulse velocity into parameters on this test. From the results of the tests, there are differences in the value of different coefficient of the R2 determination. Acquired coefficient value of determination R2 = 0.9076 in direct method. The coefficient value of determination R2 = 0.8718 in the semi-direct method. Coefficient value of determination R2 = 0.3042 at Indirect Method 2 point, and in indirect method 3 point the coefficient value of determination R2 = 0.7524. From this research also obtained comparisons between the three methods, namely between the direct method and the semi-direct method, direct method and indirect method, also semi-direct method and indirect method.

scholarly journals Multispectral and X-ray images for characterization of Jatropha curcas L. seed quality

2020 ◽  
Author(s):  
Vitor J Bianchini ◽  
Gabriel M Mascarin ◽  
Lúcia CAS Silva ◽  
Valter Arthur ◽  
Jean M Carstensen ◽  
...  
Keyword(s):  
Jatropha Curcas ◽  
Seed Quality ◽  
Alternative Methods ◽  
Quality Analysis ◽  
Classification Models ◽  
X Ray ◽  
Imaging Technologies ◽  
X Ray Imaging ◽  
Non Destructive

Abstract Background: The use of non-destructive methods with less human interference is of great interest in agricultural industry and crop breeding. Modern imaging technologies enable the automatic visualization of multi-parameter for characterization of biological samples, reducing subjectivity and optimizing the analysis process. Furthermore, the combination of two or more imaging techniques has contributed to discovering new physicochemical tools and interpreting datasets in real time.Results: We present a new method for automatic characterization of seed quality based on the combination of multispectral and X-ray imaging technologies. We proposed an approach using X-ray images to investigate internal tissues because seed surface profile can be negatively affected, but without reaching important internal regions of seeds. An oilseed plant (Jatropha curcas) was used as a model species, which also serve as a multi-purposed crop of economic importance worldwide. Our studies included the application of a normalized canonical discriminant analyses (nCDA) algorithm as a supervised transformation building method to obtain spatial and spectral patterns on different seedlots. We developed classification models using reflectance data and X-ray classes based on linear discriminant analysis (LDA). The classification models, individually or combined, showed high accuracy (>0.96) using reflectance at 940 nm and X-ray data to predict quality traits such as normal seedlings, abnormal seedlings and dead seeds. Conclusions: Multispectral and X-ray imaging have a strong relationship with seed physiological performance. Reflectance at 940 nm and X-ray data can efficiently predict seed quality attributes. These techniques can be alternative methods for rapid, efficient, sustainable and non-destructive characterization of seed quality in the future, overcoming the intrinsic subjectivity of the conventional seed quality analysis.

scholarly journals Multispectral and X-ray images for characterization of Jatropha curcas L. seed quality

2020 ◽  
Author(s):  
Vitor J Bianchini ◽  
Gabriel M Mascarin ◽  
Lúcia CAS Silva ◽  
Valter Arthur ◽  
Jean M Carstensen ◽  
...  
Keyword(s):  
Jatropha Curcas ◽  
Seed Quality ◽  
Alternative Methods ◽  
Quality Analysis ◽  
Classification Models ◽  
X Ray ◽  
Imaging Technologies ◽  
X Ray Imaging ◽  
Non Destructive

Abstract Background: The use of non-destructive methods with less human interference is of great interest in agricultural industry and crop breeding. Modern imaging technologies enable the automatic visualization of multi-parameter for characterization of biological samples, reducing subjectivity and optimizing the analysis process. Furthermore, the combination of two or more imaging techniques has contributed to discovering new physicochemical tools and interpreting datasets in real time.Results: We present a new method for automatic characterization of seed quality based on the combination of multispectral and X-ray imaging technologies. We proposed an approach using X-ray images to investigate internal tissues because seed surface profile can be negatively affected, but without reaching important internal regions of seeds. An oilseed plant (Jatropha curcas) was used as a model species, which also serve as a multi-purposed crop of economic importance worldwide. Our studies included the application of a normalized canonical discriminant analyses (nCDA) algorithm as a supervised transformation building method to obtain spatial and spectral patterns on different seedlots. We developed classification models using reflectance data and X-ray classes based on linear discriminant analysis (LDA). The classification models, individually or combined, showed high accuracy (>0.96) using reflectance at 940 nm and X-ray data to predict quality traits such as normal seedlings, abnormal seedlings and dead seeds.Conclusions: Multispectral and X-ray imaging have a strong relationship with seed physiological performance. Reflectance at 940 nm and X-ray data can efficiently predict seed quality attributes. These techniques can be alternative methods for rapid, efficient, sustainable and non-destructive characterization of seed quality in the future, overcoming the intrinsic subjectivity of the conventional seed quality analysis.

scholarly journals X-ray imaging and digital processing application in non-destructive assessing of melon seed quality

2020 ◽  
Vol 42 ◽  
Author(s):  
André Dantas de Medeiros ◽  
Maycon Silva Martins ◽  
Laércio Junio da Silva ◽  
Márcio Dias Pereira ◽  
Manuel Jesús Zavala León ◽  
...  
Keyword(s):  
Large Scale ◽  
Seed Quality ◽  
Automated Analysis ◽  
Digital Processing ◽  
Radiographic Images ◽  
Processing Application ◽  
X Ray ◽  
Digital Radiographs ◽  
Melon Seeds ◽  
Non Destructive

Abstract: Non-destructive and high throughput methods have been developed for seed quality evaluation. The aim of this study was to relate parameters obtained from the free and automated analysis of digital radiographs of hybrid melons’ seeds to their seeds’ physiological potential. Seeds of three hybrid melon (Cucumis melo L.) cultivars from commercial lot samples were used. Radiographic images of the seeds were obtained, from which area, perimeter, circularity, relative density, integrated density and seed filling measurements were generated by means of a macro (PhenoXray) developed for ImageJ® software. After the X-ray test, seed samples were submitted to the germination test, from which variables related to the physiological quality of the seeds were obtained. Variability between lots was observed for both physical and physiological characteristics. Results showed that the use of the PhenoXray macro allows large-scale phenotyping of seed radiographs in a simple, fast, consistent and completely free way. The methodology is efficient in obtaining morphometric and tissue integrity data of melon seeds and the generated parameters are closely related to physiological attributes of seed quality.

scholarly journals Non-destructive identification of physical damage in mung bean (Vigna radiata L.) seeds by X-ray image analysis

2020 ◽  
Vol 36 (3) ◽  
Author(s):  
Thiago Pulici Martins Machado ◽  
André Dantas de Medeiros ◽  
Daniel Teixeira Pinheiro ◽  
Laércio Junio Da Silva ◽  
Denise Cunha Fernandes dos Santos Dias
Keyword(s):  
Image Analysis ◽  
Vigna Radiata ◽  
Mung Bean ◽  
Seed Quality ◽  
Physical Damage ◽  
Physical Quality ◽  
X Ray ◽  
Physical Variables ◽  
Non Destructive

Global demand for pulses such as the mung bean has grown in the last years. For successful production of these crops it is necessary to use high quality seeds. Methodologies based on X-ray image analysis have been used as a complementary tool to evaluate the physical quality of seeds due to their speed and potential for automation. The aim of this study was to evaluate the efficiency of X-ray analysis for non-destructive evaluation of the physical quality of Vigna radiata seeds and to relate the variables obtained with their physiological potential. For this, seeds from eight lots were X-rayed and subsequently subject to germination test. In total, 18 physical and physiological parameters were determined. The X-ray image analysis was efficient for evaluating the internal morphology of Vigna radiata seeds and allowed the identification of various damage types. However, it was not possible to relate the physical variables to the seed quality as the lots presented similar germination percentage. Physical variables such as solidity and circularity are related to percentage of root protrusion and length of seedling hypocotyl. Low relative densities indicate deteriorated tissues, related to severe morphological damage and non-viable seeds.

scholarly journals Calcium Sulfate Dihydrate (gypsum) Quality Test Using Radiography Non Destructive Test (RNDT)

2019 ◽  
Author(s):  
Hendra Himawan ◽  
Ulil Albab Taufiq ◽  
Rudi Setiawan ◽  
Masturi . ◽  
Susilo . ◽  
...  
Keyword(s):  
Digital Image ◽  
Calcium Sulfate ◽  
Industrial Site ◽  
Radiographic Image ◽  
X Ray ◽  
Destructive Test ◽  
Calcium Sulfate Dihydrate ◽  
Defect Area ◽  
Non Destructive ◽  
Crack Defect

Calcium Sulfate Dyhidrate/gypsum is a material commonly found in nature which is used at industrial site for making a wall, roof, etc. One of the problems found in material industry is crack deffect, white crack defects is very difficult be identified it visibility. Radiography Non-Destructive Test (RNDT) is non destructive test supported by digital radiographic producing digital image. This work aims to determine the gypsum properties to find out crack defect using RNDT. Radiographic image depends on exposure factors (kV, mA, s, and SID). Digital image can be proceed using OctaveGUI to determine the crack defect area, image processing using Prewitt detection. Radiographicdigitalresultof3gypsumboards(a,bandc)and2gypsumprofilsamples (d and e) were found the crack on each samples. RNDT was perfomed using X-ray voltageat60kVona,b,c,d,andesamples.Eachsamplescrackareavalueare158.13 mm2; 127.43 mm2; 196.81 mm2; 73.97 mm2; dan 18.80 mm2. Others RNDT was using X-ray voltage at 70 kV on samples a, b, c, d, and e. Each samples crack area value are 220.62 mm2; 1,711.57 mm2; 209.33 mm2; 76.50 mm2; dan 11.18 mm2. In conlusion, the crack area values obtained can be used as RNDT.

scholarly journals RELATIONSHIP BETWEEN INTERNAL MORPHOLOGY AND PHYSIOLOGICAL QUALITY OF Leucaena leucocephala SEEDS USING IMAGE ANALYSIS

2019 ◽  
Vol 43 (2) ◽  
Author(s):  
André Dantas de Medeiros ◽  
Manuel Jesús Zavala-León ◽  
Joyce de Oliveira Araújo ◽  
Márcio Dias Pereira ◽  
Denise Cunha Fernandes dos Santos Dias ◽  
...  
Keyword(s):  
Leucaena Leucocephala ◽  
Radiographic Images ◽  
X Ray ◽  
Internal Morphology ◽  
Vigor Index ◽  
Measurement Tools ◽  
Physiological Quality ◽  
Non Destructive ◽  
Automated Tool

ABSTRACT The use of new methodological approaches and inclusion of non-destructive evaluations in determining the quality of forest seeds has proven to be of great importance for the development of forest production. The aim of this study was to evaluate the effectiveness of the use of a semi-automated tool for measurement of digital images obtained by the X-ray test in seed lots of Leucaena leucocephala and their relationship to seed physiological quality. Seeds were collected from five mother trees in Viçosa, MG. The study was performed through analysis of radiographic images of the seeds. It was determined the percentage of damaged seeds (predation and fungi) and measured: the area, perimeter, circularity, relative density, and integrated density of the seeds. After the X-ray test, a germination test was performed on the seeds, from which ten variables related to seed physiological quality were extracted, including a vigor index. The use of semi-automated measurement tools associated with the X-ray test was effective for evaluating the internal morphology of Leucaena leucocephala seeds, and the variables determined are related to seed physiological quality.

scholarly journals Multispectral and X-ray images for characterization of Jatropha curcas L. seed quality

Plant Methods ◽  
2021 ◽  
Vol 17 (1) ◽  
Author(s):  
Vitor de Jesus Martins Bianchini ◽  
Gabriel Moura Mascarin ◽  
Lúcia Cristina Aparecida Santos Silva ◽  
Valter Arthur ◽  
Jens Michael Carstensen ◽  
...  
Keyword(s):  
Jatropha Curcas ◽  
Seed Quality ◽  
Alternative Methods ◽  
Quality Analysis ◽  
Classification Models ◽  
X Ray ◽  
Imaging Technologies ◽  
X Ray Imaging ◽  
Non Destructive

Abstract Background The use of non-destructive methods with less human interference is of great interest in agricultural industry and crop breeding. Modern imaging technologies enable the automatic visualization of multi-parameter for characterization of biological samples, reducing subjectivity and optimizing the analysis process. Furthermore, the combination of two or more imaging techniques has contributed to discovering new physicochemical tools and interpreting datasets in real time. Results We present a new method for automatic characterization of seed quality based on the combination of multispectral and X-ray imaging technologies. We proposed an approach using X-ray images to investigate internal tissues because seed surface profile can be negatively affected, but without reaching important internal regions of seeds. An oilseed plant (Jatropha curcas) was used as a model species, which also serves as a multi-purposed crop of economic importance worldwide. Our studies included the application of a normalized canonical discriminant analyses (nCDA) algorithm as a supervised transformation building method to obtain spatial and spectral patterns on different seedlots. We developed classification models using reflectance data and X-ray classes based on linear discriminant analysis (LDA). The classification models, individually or combined, showed high accuracy (> 0.96) using reflectance at 940 nm and X-ray data to predict quality traits such as normal seedlings, abnormal seedlings and dead seeds. Conclusions Multispectral and X-ray imaging have a strong relationship with seed physiological performance. Reflectance at 940 nm and X-ray data can efficiently predict seed quality attributes. These techniques can be alternative methods for rapid, efficient, sustainable and non-destructive characterization of seed quality in the future, overcoming the intrinsic subjectivity of the conventional seed quality analysis.

Highlights in the history of X-ray topography1

1995 ◽  
Vol 210 (6) ◽  
Author(s):  
A. R. Lang
Keyword(s):  
Magnetic Domain ◽  
Diffraction Theory ◽  
Dislocation Loops ◽  
X Ray Diffraction ◽  
X Ray ◽  
Domain Structures ◽  
Structure Factors ◽  
History Of ◽  
Dislocation Sources ◽  
Non Destructive

AbstractX-ray topography provides a non-destructive method of mapping point-by-point variations in orientation and reflecting power within crystals. The discovery, made by several workers independently, that in nearly perfect crystals it was possible to detect individual dislocations by X-ray diffraction contrast started an epoch of rapid exploitation of X-ray topography as a new, general method for assessing crystal perfection. Another discovery, that of X-ray Pendellösung, led to important theoretical developments in X-ray diffraction theory and to a new and precise method for measuring structure factors on an absolute scale. Other highlights picked out for mention are studies of Frank-Read dislocation sources, the discovery of long dislocation helices and lines of coaxial dislocation loops in aluminium, of internal magnetic domain structures in Fe-3 wt.% Si, and of stacking faults in silicon and natural diamonds.

Stoichiometric Determination of Graphite Intercalation Compounds Using Rutherford Backscatiering Spectrometry

1983 ◽  
Vol 27 ◽  
Author(s):  
L. Salamanca-Riba ◽  
B.S. Elman ◽  
M.S. Dresselhaus ◽  
T. Venkatesan
Keyword(s):  
Experimental Error ◽  
Rutherford Backscattering Spectrometry ◽  
Rutherford Backscattering ◽  
Intercalation Compounds ◽  
Graphite Intercalation Compounds ◽  
X Ray ◽  
Donor And Acceptor ◽  
Graphite Intercalation ◽  
Non Destructive

ABSTRACTRutherford backscattering spectrometry (RBS) is used to characterize the stoichiometry of graphite intercalation compounds (GIC). Specific application is made to several stages of different donor and acceptor compounds and to commensurate and incommensurate intercalants. A deviation from the theoretical stoichiometry is measured for most of the compounds using this non-destructive method. Within experimental error, the RBS results agree with those obtained from analysis of the (00ℓ) x-ray diffractograms and weight uptake measurements on the same samples.

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