scholarly journals Development of computer program for automatic X-ray analysis of quality of vegetable seeds

2021 ◽  
pp. 86-95
Author(s):  
F. B. Musaev ◽  
S. L. Beletskiy ◽  
N. N. Potrakhov
Keyword(s):  
Computer Program ◽  
Internal Structure ◽  
Visual Analysis ◽  
Seed Quality ◽  
Practical Importance ◽  
Quality Analysis ◽  
X Ray ◽  
Fractional Analysis ◽  
Research Institute

Traditional morphometric methods of seed quality analysis, although they are accurate, are less informative, labor-intensive and long-term in execution. In modern conditions, in seed science and seed control, the use of more informative and high-speed instrumental methods is required. The method of microfocus X-ray of seeds is one of them, it allows you to visualize the internal structure of seeds. In the joint work of employees of the Federal Scientific Vegetable Center, Agrophysical Research Institute and St. Petersburg State Electrotechnical University, Research Institute for Storage Problems of "Rosrezerv", a method of X-ray analysis of the quality of vegetable seeds was developed and tested. Currently, programming, automation of this method is underway. The method of digital analysis of X-ray images in automatic mode comes as a replacement for the previously applied visual analysis of seed radiographs. A modernized software and hardware complex was developed and tested, a program algorithm was compiled, consisting of several stages. As a result, the quality analysis of seeds is significantly accelerated by visualizing their internal structure. The newly developed computer program "Sortsemkontrol-2" recognizes seeds according to the following qualitative indicators: full-value, underdevelopment, undevelopment, monstrous. The analysis results are automatically reported as a log. The fractional analysis of the seed batch is also carried out, the dimensional characteristic of each fraction is given, according to the two largest adjacent fractions, the equalization of the seed batch is determined. Fractional analysis of a batch of seeds is of great practical importance for pre-production of seeds. In the future, the application of the computer program "Sortsemkontrol-2" will provide an accelerated, at the same time informative analysis of the quality of seeds, which is very important in the conditions of commercialization of seed turnover.

scholarly journals ASSESSMENT OF THE PHYSICAL AND PHYSIOLOGICAL QUALITY OF Piptadenia gonoacantha SEEDS (MART.) J. F. MACBR. USING IMAGE ANALYSIS

2020 ◽  
Vol 44 ◽  
Author(s):  
Daniel Teixeira Pinheiro ◽  
Nayara Pereira Capobiango ◽  
André Dantas de Medeiros ◽  
Karine Fernandes Caiafa ◽  
Denise Cunha Fernandes dos Santos Dias ◽  
...  
Keyword(s):  
Image Analysis ◽  
Visual Analysis ◽  
New Technologies ◽  
Automated Analysis ◽  
Quality Analysis ◽  
Native Forest ◽  
X Ray ◽  
Tissue Density ◽  
Physiological Quality

ABSTRACT The assessment of the quality of native forest species seeds is extremely important and, in this sense, it is necessary to integrate new technologies that can complement the quality analysis traditionally used. This study aimed to evaluate the physical and physiological quality of Piptadenia gonoacantha seeds using image analysis techniques and to relate aspects of tissue integrity with physiological attributes. Seeds from 10 lots were collected and submitted to automatic and visual analyses of radiographic images, with the determination of parameters related to tissue density and seed filling. After the X-ray test, the seeds were subjected to physiological analyses of germination and vigor. It was observed that the lots that presented higher values of tissue density, filling, and solidity, presented higher germination and vigor. It was also evident that the damage present in the seeds was causally related their physiological condition. Therefore, the results showed that the use of the X-ray technique in seeds combined with the automated analysis of the radiographs is efficient in the evaluation of the internal morphology of P. gonoacantha seeds. The physical integrity of the seed tissues is directly related to the physiological quality and allows the classification of different lots as to vigor. Visual analysis of digital radiographs is adequate to identify malformation in P. gonoacantha seeds.

scholarly journals Seed quality analysis of Senna siamea Lam. using image analysis techniques

2020 ◽  
Vol 42 ◽  
Author(s):  
Jackson Araújo da Silva ◽  
André Dantas de Medeiros ◽  
Márcio Dias Pereira ◽  
Amanda Karoliny Fernandes Ramos ◽  
Laércio Junio da Silva
Keyword(s):  
Image Analysis ◽  
Seed Quality ◽  
Quality Analysis ◽  
Radiographic Images ◽  
Senna Siamea ◽  
Analysis Techniques ◽  
Physiological Quality ◽  
Image Analysis Techniques ◽  
Forest Seeds

Abstract: The inclusion of image analysis techniques for the accurate and rapid assessment of the quality of forest seeds is highly desirable. The use of digital radiographic images of seeds and the analysis of seedling images, still little used in determining the quality of forest seeds, are among the available imaging techniques. This study aimed to assess the feasibility of using the analysis of images of seeds and seedlings in the assessment of the physical and physiological quality of Senna siamea seeds. Radiographic images of seeds were obtained from five seed lots, allowing generating morphological and tissue integrity descriptors. These seeds were then subjected to germination and seedling growth tests, which allowed obtaining variables related to physiological quality. The generated seedlings were scanned and analyzed using the software ImageJ. The data were analyzed using analysis of variance, correlation, and principal component analysis. The results showed differences between seed lots in terms of physiological quality and physical integrity of internal tissues. Significant correlations were observed between the variables obtained with the radiographic analysis and seed physiological characterization tests. The use of techniques to analyze seed radiographs and seedling images allows access to information on the physical and physiological integrity of S. siamea seeds.

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 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 ◽  
Multispectral Imaging ◽  
Seed Quality ◽  
Strong Relationship ◽  
Biodiesel Production ◽  
Alternative Methods ◽  
Quality Analysis ◽  
X Ray ◽  
Jatropha Seed

Abstract Background: Jatropha curcas is an oilseed plant with great potential for biodiesel production. In agricultural industry, the seed quality is still estimated by manual inspection, using destructive, time-consuming and subjective tests that depend on the seed analyst experience. Recent advances in machine vision combined with artificial intelligence algorithms can provide spatial and spectral information for characterization of biological images, reducing subjectivity and optimizing the analysis process.Results: We present a new method for automatic characterization of jatropha seed quality, based on multispectral imaging (MSI) combined with X-ray imaging. We propose an approach along with X-ray images in order to investigate internal problems such as damages in the embryonic axis and endosperm, considering the fact that seed surface profiles can be negatively affected, but without reaching important internal regions of the seeds. Our studies included the application of a normalized canonical discriminant analyses (nCDA) algorithm as a supervised transformation building method to classify spatial and spectral patters according to the classes of seed quality. Spectral reflectance signatures in a range of 780 to 970 nm and the X-ray images can efficiently predict quality traits such as normal seedlings, abnormal seedlings and dead seeds.Conclusions: MSI and X-ray images have a strong relationship with physiological performance of Jatropha curcas L. These techniques can be alternative methods for rapid, efficient, sustainable and non-destructive characterization of jatropha seed quality in the future, overcoming the intrinsic subjectivity of the conventional seed quality analysis.

scholarly journals Digital morphometry of onion seeds

2021 ◽  
pp. 44-48
Author(s):  
F. B. Musaev ◽  
M. I. Ivanova ◽  
N. S. Priyatkin ◽  
S. V. Kuznets
Keyword(s):  
Crop Production ◽  
Seed Quality ◽  
Elongation Factor ◽  
Morphometric Parameters ◽  
Quality Analysis ◽  
Projection Area ◽  
Allium Fistulosum ◽  
Allium Schoenoprasum ◽  
Scanned Images ◽  
Research Institute

Relevance. One of the problematic issues in crop production remains the quality of sown seeds. Vegetable plants during the period of generative development are demanding to the conditions of light and heat supply, but the conditions of most regions of our country cannot meet these requirements. Post-harvest refinement and pre-treatment of seeds is also not carried out at the proper level. There are no reliable informative tools for analyzing seed quality. Employees of the FSBSI FSVC, Agrophysical Research Institute and Argus-Bio LLC are developing a method of digital morphometry of vegetable seeds.Methods. The material for the studies was the seeds of various samples of varieties of the genus Allium: Allium cristophii Trautv., Allium schoenoprasum L., Allium fistulosum L. Digital images of seeds were obtained using the HP Scanjet 200 tablet scanner, BMP, TIFF, JPG save file format, 600 DPI resolution. Morphometric analysis of digital scanned images of seeds was carried out on the basis of the Agrophysical Research Institute using the serial software Argus-BIO, manufactured by Argus Soft LLC, St. Petersburg.Results. Analysis of the color characteristics of seeds (values of color components according to the RGB model) Allium cristophii Trautv. revealed a statistically significant decrease in all color channels in the row from the lower tier – the upper, which is an indicator of different levels of maturity. Seeds of various samples of Allium schoenoprasum L. in size (projection area) varied significantly within the species from 2.39 to 3.06 mm2 , in shape they also turned out to be unaligned: elliptical with an elongation factor of 1.99 to 2.21 relative units. Analysis of morphometric parameters of seeds of varieties Allium fistulosum L. made it possible to distinguish the influence of natural and genetic factors on these parameters: the factor of the year had a significant effect (from 43.5% to 45.4%), the factor of the variety – from 39.5% to 43.2%, on the main morphometric parameters of seeds. So, a new approach to seed quality analysis is presented, which includes rapid digital morphometry, data modeling and their integration with standard ISTA tests.

scholarly journals Data Visualization as a Measure to Improve the Effectiveness of Surface Water Quality Analysis

2021 ◽  
pp. 72-82
Author(s):  
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
Data Visualization ◽  
Visual Analysis ◽  
Graphical Representation ◽  
Surface Water Quality ◽  
Quality Analysis ◽  
Water Quality Control ◽  
Shewhart Control

The article shows the possibilities of data visualization for various samples using examples of hydrological and water management information. The efficiency of using some techniques (graphical representation of data, Shewhart control maps, box-and-whiskers diagram, and scattering diagram) for analyzing the results of water quality control of the Moscow river and some of its tributaries is demonstrated. It is shown that the methods of visual analysis allow you to visually display any changes in the quality of surface water and can become an effective tool in the organization of water use in the metropolis.

scholarly journals INSTRUMENTAL AND BIOPHYSICAL METHOD OF EVALUATION TEST OF SEEDS OF GREEN VEGETABLE CULTURES

2019 ◽  
pp. 40-44
Author(s):  
F. B. Musayev ◽  
V. A. Kharchenko ◽  
M. S. Antoshkina
Keyword(s):  
Internal Structure ◽  
Crop Production ◽  
Standard Technique ◽  
Biological Indicators ◽  
Small Error ◽  
Vegetable Crops ◽  
X Ray ◽  
Evaluation Test ◽  
Method Of Evaluation

Questions of quality of the sowed seeds in agriculture have paramount value. Use of highquality uniform seeds is the key to successful production of crop production. Vegetable seeds, in particular, leaf vegetables, are most vulnerable in this plan in view of their shallow amount, the long period of fructing time and some other factors. The modern tool methods of evaluation test allow to glance in internal structure of seeds and to scoop more information. The most suitable for these purposes is us the developed method of microfocal X-ray of vegetable seeds. In this work seeds of different types of green and spicy and flavoring vegetable crops are analysed: melissa, marjoram, asparagus, spinach and garden cress. The analysis was carried out both by a method of r of seeds, and by a standard technique. The most typical defects and shortcomings of internal structure of seeds influencing their economic and biological indicators are identified. Comparison of methods is carried out. It is shown that X-ray analysis of quality of seeds, in particular, viability, by visualization of images efficient and rather precise. The small error of a method is compensated with its bigger informational content: that is, the analysis is carried out not by the principle of viable and not viable seeds, there is their division as on viability (full, low quality), and on defects and shortcomings (outstanding, ugly, the defective, injured, etc.). At the same time seeds as a result of the analysis aren't utilized and remain for further work. The method differs in speed and ease of execution. The prospects of development of a method are specified. It is the integrated automatic analysis of quality of seeds. The algorithm of automatic computer X-ray analysis of quality of vegetable seeds is so far developed, the first version of the program is approved.

scholarly journals Use of radiographic images for rapid and non-destructive assessment of crambe seed quality

2021 ◽  
Vol 43 ◽  
Author(s):  
Alessandra da Silva Ribeiro ◽  
Tássia Fernanda Santos Neri ◽  
André Dantas de Medeiros ◽  
Carla do Carmo Milagres ◽  
Laércio Junio da Silva
Keyword(s):  
Seed Quality ◽  
Automated Analysis ◽  
Physical Parameters ◽  
Morphometric Characteristics ◽  
Radiographic Images ◽  
X Ray ◽  
Tissue Integrity ◽  
Seed Embryo ◽  
Physiological Quality

Abstract: Technologies based on electromagnetic radiation, such as the X-ray technique, has contributed to the establishment of new and promising methodologies for evaluating seed quality. This study aimed to relate parameters based on semi-automated analysis of radiographs of crambe seeds to their physiological quality. Radiographic images of seeds from 10 seed lots of cultivar FMS Brilhante were semi-automatically analyzed using ImageJ® software. Measurements of morphometric characteristics and tissue integrity were obtained for the seeds, as well as individually for the seed embryo. Following X-ray test, the seeds were subject to germination and seedling growth test. It was possible to visualize the internal structures of the seeds in the radiographs. There were differences in the physical parameters obtained by the semi-automated analysis of the radiographs between the seed lots. Also, the lots differed regarding the physiological quality of the seeds. Morphometric characteristics and tissue integrity, especially for the seed embryo, showed high correlation with the seed physiological quality. Therefore, this work presents an efficient approach to rapid and non-destructively assess the quality of crambe seeds.

scholarly journals ALGORITHMS OF THE AUTOMATIC DIGITAL ANALYSIS OF VEGETABLE SEEDS QUALITY

2018 ◽  
pp. 86-88
Author(s):  
F. В. Musaev ◽  
М. S. Antoshkina ◽  
A. V. Soldatenko ◽  
S. L. Beletsky ◽  
N. N. Potrakhov
Keyword(s):  
Visual Analysis ◽  
Developed Countries ◽  
Climatic Conditions ◽  
Automatic Analysis ◽  
Informational Content ◽  
Digital Analysis ◽  
X Ray ◽  
Modern Level ◽  
Instrumental Methods

The seed fund is considered as a basis of food independence of the country and seed certification in many developed countries, including the Russian Federation, is care of the state. Seed farming of vegetable cultures in our country is complicated by adverse soil-climatic conditions of the majority of regions. The quality of the made seeds which does not conform to requirements of the modern agriculture providing uses of the homogeneous seeds with high field viability remains the main problem of branch. The modern level of development of scientific knowledge provides application of instrumental methods of the analysis of quality of the seeds differing in high informational content, speed and ease of execution. We developed and approved a method X-ray analysis of quality of vegetable seeds. Now programming, automation of this method is conducted. The way of the digital analysis of x-ray images in the automatic mode comes to replacement of earlier applied visual analysis of radiographs of seeds. The modernized hardware and software system is developed and approved, the program algorithm consisting of several stages is developed. There is a completion and approbation of the new software for the automatic analysis of graphic files of X-ray image of seeds of vegetable cultures under the name "Sortsemkontrol-1.0". Development and deployment of a method of the automatic analysis of x-ray images of vegetable seeds is essential to accelerate process, will increase its informational content and will allow to get rid of subjectivity, connected by the visual analysis of radiographs.

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