scholarly journals Physical and physiological quality of Jatropha curcas L. seeds at different maturity stages using image analysis

2020 ◽  
Vol 18 (3) ◽  
pp. e0206
Author(s):  
Daniel T. Pinheiro ◽  
André D. Medeiros ◽  
Manuel J. Zavala-León ◽  
Denise C. F. S. Dias ◽  
Laércio J. Da Silva
Keyword(s):  
Image Analysis ◽  
Jatropha Curcas ◽  
Physical Characteristics ◽  
Radiographic Images ◽  
Seed Filling ◽  
X Ray ◽  
Tissue Integrity ◽  
Maturity Stages ◽  
Physiological Quality

Aim of study: To assess the potential of automated X-ray image analysis to evaluate the physical characteristics of Jatropha curcas seeds, and to relate the parameters obtained with the physiological quality of the seeds harvested at different maturity stages.Area of study: Experimental area of Agronomy Department, Federal University of Viçosa (UFV), Brazil.Material and methods: The fruits were harvested from 20 plants, based on the external skin color (green, yellow, brownish-yellow and brown). The study was performed by automated and visual analysis of radiographic images of the seeds, in which measurements of tissue integrity, density and seed filling were performed. Seed dry matter, germination and seedling growth were also analysed.Main results: Variables obtained through automated analysis of radiographic images correlated significantly with all physiological variables (r > 0.9), as well as visual image evaluations (r > 0.75). The seeds extracted from green fruits presented lower tissue integrity and lower physiological quality. Radiographic analysis was efficient for monitoring J. curcas seed quality at different maturity stages. Morpho-anatomical parameters obtained from X-ray analysis were highly correlated with seed physiological attributes.Research highlights: It is important to develop and improve methodologies based on lower-cost techniques, such as X-ray analysis. In this context, we verified that X-ray images can be used for monitoring J. curcas seed filling and maturation. Radiographic images of seeds can be analyzed automatically with ImageJ software. Internal morphology and physical characteristics of seeds have relationship with their physiological quality.

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.

Image Analysis in the Evaluation of the Physical and Physiological Quality of Jiló (Solanum gilo) Seeds during Development

2019 ◽  
pp. 1-10
Author(s):  
Marcus Vinicius Prado Alves ◽  
Édila Vilela De Resende Von Pinho ◽  
Gustavo Costa Prado Alves ◽  
Maria Laene Moreira de Carvalho ◽  
Heloisa Oliveira dos Santos
Keyword(s):  
Image Analysis ◽  
Radiographic Images ◽  
X Ray ◽  
Physiological Quality ◽  
Non Destructive ◽  
Days After Anthesis ◽  
Free Area

Currently, the X-ray image analysis of seeds has proved effective for the evaluation of the physical and physiological quality of the seeds, besides being a non-destructive method. The objective of this work was to evaluate the internal free area of jiló seeds (Solanum gilo) through the analysis of radiographic images and to relate the results with the germination of seeds in different stages of maturation. The seeds were harvested at 35, 40, 45 days after anthesis and 45 days after anthesis with 7 days at rest (45 DAAr). Seeds with free internal area ≤ 10% produced normal seedlings whereas seeds with an average free area above 10% produced abnormal or non-germinated seedlings. Seeds of fruits harvested at 45 DAA and seven days at rest showed a smaller internal free area and a formation of 100% of normal seedlings. The analysis of the radiographic images of jiló seeds allows the measurement of the free internal areas, as well as the determination of the relation between these and the germination.

scholarly journals Parameters based on X-ray images to assess the physical and physiological quality of Leucaena leucocephala seeds

2018 ◽  
Vol 42 (6) ◽  
pp. 643-652 ◽  
Author(s):  
André Dantas de Medeiros ◽  
Joyce de Oliveira Araújo ◽  
Manuel Jesús Zavala León ◽  
Laércio Junio da Silva ◽  
Denise Cunha Fernandes dos Santos Dias
Keyword(s):  
Leucaena Leucocephala ◽  
High Performance ◽  
Principal Component ◽  
Automated Analysis ◽  
Radiographic Images ◽  
X Ray ◽  
Physiological Quality ◽  
Non Destructive ◽  
Do So

ABSTRACT Non-destructive and high performance analyses are highly desirable and important for assessing the quality of forest seeds. The aim of this study was to relate parameters obtained from semi-automated analysis of radiographs of Leucaena leucocephala seeds to their physiological potential by means of multivariate analysis. To do so, seeds from five lots collected from parent trees from the region of Viçosa, MG, Brazil, were used. The study was carried out through analysis of radiographic images of seeds, from which the percentage of damaged seeds (predation and fungi), and measurements of area, perimeter, circularity, relative density, and integrated density of the seeds were obtained. After the X-ray test, the seeds were tested for germination in order to assess variables related to seed physiological quality. Multivariate statistics were applied to the data generated, with use of principal component analysis (PCA). X-ray testing allowed visualization of details of the internal structure of seeds and differences regarding density of seed tissues. Semi-automated analysis of radiographic images of Leucaena leucocephala seeds provides information on seed physical characteristics and generates parameters related to seed physiological quality in a simple, fast, and inexpensive manner.

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 Image analysis of papaya seeds submitted to sarcotesta removal methods

2018 ◽  
Vol 48 (4) ◽  
pp. 461-467
Author(s):  
Rogério Luciano Severiano ◽  
Paloma Rayane Pinheiro ◽  
Francisco Guilhien Gomes Júnior ◽  
Andréa Celina Ferreira Demartelaere ◽  
Márcio Dias Pereira
Keyword(s):  
Image Analysis ◽  
Seed Quality ◽  
Field Performance ◽  
Sieve Method ◽  
Physical Damage ◽  
X Ray ◽  
Seedling Length ◽  
Physiological Quality ◽  
Papaya Seeds

ABSTRACT The germination of papaya seeds is slow and uneven, usually due to inhibitors present in the sarcotesta; however, some removal procedures may cause physical damage, negatively interfering in the physiological quality and field performance. This study aimed to evaluate the physical and physiological quality of papaya seeds submitted to methods of sarcotesta removal by image analysis. Papaya Formosa ‘Tainung 01' seeds were submitted to the following methods of sarcotesta removal: fermentation + sieve, sand + sieve, sieve and blender + sieve. After the sarcotesta removal, the seeds were submitted to tests of germination, first germination count, germination speed and seedling length. For the image analysis, the seeds without sarcotesta were submitted to the X-ray test and to a computerized analysis of seedling images by the SVIS® software. The methods used were only promising for the sarcotesta removal, while the blender + sieve method obtained the highest physical and physiological seed quality, in addition to performing the best sarcotesta removal. However, the image analysis using the SVIS® software allowed to identify the high physical and physiological seed quality using the blender + sieve method, which promoted the highest efficiency in removing the sarcotesta.

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 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 Evaluation of physiological quality of Corn seeds by GroundEye L800® system

2020 ◽  
Vol 14 ◽  
Author(s):  
Cinthia Vieira Golfi Andriazzi ◽  
Debora Kelli Rocha ◽  
Igor Chalfoun Pomárico de Souza ◽  
Samlla Albuquerque Bichuette
Keyword(s):  
Image Analysis ◽  
Low Temperatures ◽  
Performance Potential ◽  
Positive Correlation ◽  
Low Correlation ◽  
Significant Difference ◽  
Radicle Emergence ◽  
Physiological Quality

The usual vigor test of companies for batches of genetic corn seeds is carried out based on the potential of seeds to germinate at low temperatures, not being suitable for the warm regions of the country, since there is a low correlation between laboratory and field results for these cases. An alternative to this method is the GroundEye L800® system, which evaluates vigor by the performance potential of corn seedlings. Thus, the objective was to evaluate the efficiency of the GroundEye L800® equipment in determining the vigor of seeds of the genetic category of corn. Seeds from 36 corn batches were used in this study. The parameters evaluated were germination, radicle emergence test (RET), emergence on flower-bed, besides the image analysis using GroundEye L800® system. RET, the method generally used by companies, showed a significant difference in emergence results compared to those found on flower-bed, with no positive correlation. The GroundEye L800 process and the flower-bed emergence test did not differ statistically. GroundEye L800® equipment is promising for assessing the physiological potential of corn seeds.

An Effective Method for Defects Detection in Radiographic Images of Welds Based on Edge Detection and Morphology

2013 ◽  
Vol 290 ◽  
pp. 71-77
Author(s):  
Wen Ming Guo ◽  
Yan Qin Chen
Keyword(s):  
Edge Detection ◽  
Detection Method ◽  
Detection Algorithm ◽  
Morphological Processing ◽  
Radiographic Images ◽  
X Ray ◽  
Weld Defects ◽  
Detection Algorithms ◽  
Detection Quality

In the current industrial production, as steel weld X-ray images are low contrasted and noisy, the efficiency and precision can’t be both ensured. This paper has studied three different edge detection algorithms and found the most suitable one to detect weld defects. Combined with this edge detection algorithm, we proposed a new weld defects detection method. This method uses defect features to find the defects in edge images with morphological processing. Compared to the traditional methods, the method has ensured detection quality of weld defects detection.

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