DocumentCode :
1589521
Title :
Analysis of SEM Images of Stomata of Different Tomato Cultivars Based on Morphological Features
Author :
Sanyal, Pritimoy ; Bhattacharya, Ujjwal ; Bandyopadhyay, Samir K.
Author_Institution :
West Bengal Univ. of Technol., Kolkata
fYear :
2008
Firstpage :
890
Lastpage :
894
Abstract :
Tomato is one of the important cash crops in the world. There are several varieties of tomato cultivars. Their identifications as well as taxonomy had been studied in the literature using different laboratory methods. Both morphological and/or genetical characteristics were considered in these available studies. However, to the best of our knowledge, there does not exist any study employing an image analysis based approach. Also, morphological features of stomata of tomato cultivars had not been studied before for the present purpose. In this article, we report results of our recent study of morphological features of stomata of different tomato cultivars based on their scanning electron microscopy (SEM) images. Interestingly, these results of the present study are supported by the protein binding pattern of the seeds of respective cultivars.
Keywords :
agriculture; computer vision; production engineering computing; scanning electron microscopy; image analysis based approach; morphological features; scanning electron microscopy images; stomata SEM images; tomato cultivars; Biology computing; Crops; Evolution (biology); Image analysis; Image color analysis; Image processing; Plants (biology); Proteins; Scanning electron microscopy; Systems biology; SEM images; stomata; tomato cultivars;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Modeling & Simulation, 2008. AICMS 08. Second Asia International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-0-7695-3136-6
Electronic_ISBN :
978-0-7695-3136-6
Type :
conf
DOI :
10.1109/AMS.2008.81
Filename :
4530593
Link To Document :
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