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Satyam Srivastava   Mr.  Research or Laboratory Scientist 
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Satyam Srivastava published an article in October 2017.
Top co-authors
Shashikant Sadistap

11 shared publications

Academy of Scientific and Innovative Research (AcSiR), CSIR-CEERI, Pilani, Jhunjhunu, India

7
Publications
15
Reads
2
Downloads
6
Citations
Publication Record
Distribution of Articles published per year 
(2014 - 2017)
Total number of journals
published in
 
5
 
Publications See all
Article 6 Reads 2 Citations Non-destructive sensing methods for quality assessment of on-tree fruits: a review Satyam Srivastava, Shashikant Sadistap Published: 11 October 2017
Journal of Food Measurement and Characterization, doi: 10.1007/s11694-017-9663-6
DOI See at publisher website
Conference 0 Reads 0 Citations Ultrasonic sensing system for detecting water adulteration in milk Aditya Dave, Dishant Banwari, Sumit Mansinghani, Satyam Sriv... Published: 01 November 2016
2016 IEEE Region 10 Conference (TENCON), doi: 10.1109/tencon.2016.7848424
DOI See at publisher website
Conference 0 Reads 0 Citations Optical sensing system for detecting water adulteration in milk Aditya Dave, Dishant Banwari, Satyam Srivastava, Shashikant ... Published: 01 October 2016
2016 IEEE Global Humanitarian Technology Conference (GHTC), doi: 10.1109/ghtc.2016.7857345
DOI See at publisher website
Article 3 Reads 3 Citations Development of a low cost optimized handheld embedded odor sensing system (HE-Nose) to assess ripeness of oranges Satyam Srivastava, Shashikant Sadisatp Published: 18 August 2015
Journal of Food Measurement and Characterization, doi: 10.1007/s11694-015-9270-3
DOI See at publisher website
Article 6 Reads 0 Citations Quality assessment of commercial bread samples based on breadcrumb features and freshness analysis using an ultrasonic m... Satyam Srivastava, Saikrishna Vaddadi, Shashikant Sadistap Published: 19 June 2015
Journal of Food Measurement and Characterization, doi: 10.1007/s11694-015-9261-4
DOI See at publisher website
Article 0 Reads 1 Citation A Novel Vision Sensing System for Tomato Quality Detection Satyam Srivastava, Sachin Boyat, Shashikant Sadistap Published: 01 January 2014
International Journal of Food Science, doi: 10.1155/2014/184894
DOI See at publisher website PubMed View at PubMed ABS Show/hide abstract
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%.
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