A Novel Vision Sensing System for Tomato Quality Detection
Joint Authors
Srivastava, Satyam
Boyat, Sachin
Sadistap, Shashikant
Source
International Journal of Food Science
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-09-03
Country of Publication
Egypt
No. of Pages
11
Abstract EN
Producing tomato is a daunting task as the crop of tomato is exposed to attacks from various microorganisms.
The symptoms of the attacks are usually changed in color, bacterial spots, special kind of specks, and sunken areas with concentric rings having different colors on the tomato outer surface.
This paper addresses a vision sensing based system for tomato quality inspection.
A novel approach has been developed for tomato fruit detection and disease detection.
Developed system consists of USB based camera module having 12.0 megapixel interfaced with ARM-9 processor.
Zigbee module has been interfaced with developed system for wireless transmission from host system to PC based server for further processing.
Algorithm development consists of three major steps, preprocessing steps like noise rejection, segmentation and scaling, classification and recognition, and automatic disease detection and classification.
Tomato samples have been collected from local market and data acquisition has been performed for data base preparation and various processing steps.
Developed system can detect as well as classify the various diseases in tomato samples.
Various pattern recognition and soft computing techniques have been implemented for data analysis as well as different parameters prediction like shelf life of the tomato, quality index based on disease detection and classification, freshness detection, maturity index detection, and different suggestions for detected diseases.
Results are validated with aroma sensing technique using commercial Alpha Mos 3000 system.
Accuracy has been calculated from extracted results, which is around 92%.
American Psychological Association (APA)
Srivastava, Satyam& Boyat, Sachin& Sadistap, Shashikant. 2014. A Novel Vision Sensing System for Tomato Quality Detection. International Journal of Food Science،Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-1036661
Modern Language Association (MLA)
Srivastava, Satyam…[et al.]. A Novel Vision Sensing System for Tomato Quality Detection. International Journal of Food Science No. 2014 (2014), pp.1-11.
https://search.emarefa.net/detail/BIM-1036661
American Medical Association (AMA)
Srivastava, Satyam& Boyat, Sachin& Sadistap, Shashikant. A Novel Vision Sensing System for Tomato Quality Detection. International Journal of Food Science. 2014. Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-1036661
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1036661