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Non-Destructive Quality Analysis of JIRASAR Oryza Sativa SSP Indica (Indian Rice) using Feed Forward Neural Network

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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2017
Authors:
Niky K. Jain, Samrat O. Khanna, Chetna K. Shah
10.5120/ijca2017915186

Niky K Jain, Samrat O Khanna and Chetna K Shah. Non-Destructive Quality Analysis of JIRASAR Oryza Sativa SSP Indica (Indian Rice) using Feed Forward Neural Network. International Journal of Computer Applications 172(7):35-39, August 2017. BibTeX

@article{10.5120/ijca2017915186,
	author = {Niky K. Jain and Samrat O. Khanna and Chetna K. Shah},
	title = {Non-Destructive Quality Analysis of JIRASAR Oryza Sativa SSP Indica (Indian Rice) using Feed Forward Neural Network},
	journal = {International Journal of Computer Applications},
	issue_date = {August 2017},
	volume = {172},
	number = {7},
	month = {Aug},
	year = {2017},
	issn = {0975-8887},
	pages = {35-39},
	numpages = {5},
	url = {http://www.ijcaonline.org/archives/volume172/number7/28266-2017915186},
	doi = {10.5120/ijca2017915186},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}
}

Abstract

The Carrying out compelling and reasonable agriculture product has turned into an important issue in recent years. Agricultural production needs to stay aware with an ever-increasing population. A key to this is the utilization of present day strategies (for precision agriculture) to exploit the quality in the market. Classification of rice seeds from the exposed human hands is neither savvy nor prescribed. The automatic grading for examination of quality has turned into the need of great importance. This paper prescribes an extra way to deal with quality specialists for the quality investigation of INDIAN JIRASAR Rice using computer vision and soft computing techniques. Computer Vision gives a grading methodology, non-destructive technique, along with multi-layer feed forward neural networking which achieves high degree of quality than human vision inspection.

References

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Keywords

Computer Vision, Soft Computing technique, digital image processing, Indian Jirasar rice seeds, non-destructive.