Variety Identification of Tomato by Electrophoregram of Seed Protein and Comparison of Digitally Processed SEM Images of Stomata
01 Oct 2010-International Journal of Vegetable Science (Taylor & Francis Group)-Vol. 16, Iss: 4, pp 326-334
TL;DR: Comparison of the efficiency and precision of identification of varieties of tomato by gel electrophoresis of seed protein and digital processing of scanning electron microscope images of stomata were made and both methods could identify varieties with high contrast in stomatal characters and protein banding pattern.
Abstract: In agriculture and horticulture, the genetic purity of cultivars is critical to farmers, plant breeders, and seed producers as well as regulatory agencies. Cultivar identification by seed protein polymorphism and computer analysis of images of plant characters is an alternative method for cultivar identification. Comparison of the efficiency and precision of identification of varieties of tomato by gel electrophoresis of seed protein and digital processing of scanning electron microscope (SEM) images of stomata were made. The sodium dodecyl sulfate–polyacrylamide gel electrophoresis (SDS-PAGE) technique for seed protein profile was useful in distinguishing tomato (Solanum lycopersicum L.) varieties. Digital processing of SEM images of stomata created four clusters depending on the percentage circularity, or how well the image fits a circle, of the stomata. Both methods could identify varieties with high contrast in stomatal characters and protein banding pattern, although digital processing of SEM images ...
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01 Dec 2012
TL;DR: This paper has applied image processing techniques on tomato leaves and fruits to obtain enhanced binarized images which precede the most crucial part of shape based feature extraction.
Abstract: Tomato (Solanum lycopersicum L) belongs to the family Solanaceae, which is extensively grown around the world. In Agriculture and Horticulture, the genetic purity of cultivars is critical to farmers, plant breeders, seed producers and as well as regulatory agencies. The genetic and morphological shape based features are used to classify different tomato cultivars and species. However, the large variations present in the shapes of tomato leaves and fruits make it complex enough to classify. In this paper we have applied image processing techniques on tomato leaves and fruits to obtain enhanced binarized images which precede the most crucial part of shape based feature extraction. Different morphological features are obtained and analyzed for tomato leaf recognition prototyping model. Finally, features are transformed for dimension reduction to get a better visibility of the features through Principal Component Analysis.
7 citations
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TL;DR: Using an improved method of gel electrophoresis, many hitherto unknown proteins have been found in bacteriophage T4 and some of these have been identified with specific gene products.
Abstract: Using an improved method of gel electrophoresis, many hitherto unknown proteins have been found in bacteriophage T4 and some of these have been identified with specific gene products. Four major components of the head are cleaved during the process of assembly, apparently after the precursor proteins have assembled into some large intermediate structure.
232,912 citations
"Variety Identification of Tomato by..." refers methods in this paper
...Total seed protein was extracted following standard procedures and the protein extract was fractioned by 12% SDS-PAGE as described by Laemmli (1970)....
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Journal Article•
TL;DR: Using an improved method of gel electrophoresis, many hitherto unknown proteins have been found in bacteriophage T4 and some of these have been identified with specific gene products as mentioned in this paper.
Abstract: Using an improved method of gel electrophoresis, many hitherto unknown proteins have been found in bacteriophage T4 and some of these have been identified with specific gene products. Four major components of the head are cleaved during the process of assembly, apparently after the precursor proteins have assembled into some large intermediate structure.
203,017 citations
01 Nov 1973
TL;DR: These results indicate that the easily computable textural features based on gray-tone spatial dependancies probably have a general applicability for a wide variety of image-classification applications.
Abstract: Texture is one of the important characteristics used in identifying objects or regions of interest in an image, whether the image be a photomicrograph, an aerial photograph, or a satellite image. This paper describes some easily computable textural features based on gray-tone spatial dependancies, and illustrates their application in category-identification tasks of three different kinds of image data: photomicrographs of five kinds of sandstones, 1:20 000 panchromatic aerial photographs of eight land-use categories, and Earth Resources Technology Satellite (ERTS) multispecial imagery containing seven land-use categories. We use two kinds of decision rules: one for which the decision regions are convex polyhedra (a piecewise linear decision rule), and one for which the decision regions are rectangular parallelpipeds (a min-max decision rule). In each experiment the data set was divided into two parts, a training set and a test set. Test set identification accuracy is 89 percent for the photomicrographs, 82 percent for the aerial photographic imagery, and 83 percent for the satellite imagery. These results indicate that the easily computable textural features probably have a general applicability for a wide variety of image-classification applications.
20,442 citations
144 citations
"Variety Identification of Tomato by..." refers methods in this paper
...Sodium dodecyl sulfate–polyacrylamide gel electrophoresis (SDS-PAGE) used for cultivar identification has been described (Cooke, 1992; Gardiner and Forde, 1988; Lookhart and Wrigley, 1995)....
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TL;DR: The results indicate that the naive Bayes classifier based on an adequately selected set of classification features has an excellent performance, competitive with that of the comparatively more sophisticated neural network approach.
109 citations
"Variety Identification of Tomato by..." refers background or methods in this paper
..., 2007; Sanyal and Patel 2008); classification of leaves (Warren, 1997), pollen, and seed (Granitto et al., 2005); and weed control mechanisms (Tian et al....
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...Such methods have been studied before for disease identification (Sanyal et al., 2007; Sanyal and Patel 2008); classification of leaves (Warren, 1997), pollen, and seed (Granitto et al., 2005); and weed control mechanisms (Tian et al., 1997)....
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