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                <text>Conference Papers</text>
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              <text>Smart detection of rice purity and its grading</text>
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              <text>Artificial rice; Classification; Data mining; Image processing; Pre-processing</text>
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              <text>The main food in India is Rice. Be it the breakfast, lunch, dinner or some snacks, for everything the most preferred ingredient in Rice. In compared with north Indians, Rice is most used by South Indians. Today's youngsters from villages are migrating to cities in search of jobs after their education. Even farmers have stopped their cultivation and are working towards different business. So, the yield of rice is reduced in India. One more reason for this is because of the poor monsoon. Government is finding it challenging to supply rice to all its consumers. It is expected, because for Rice the consumers are more compared to its production. Government has decided to import the rice from the neighboring countries. This neighboring country knows the demand of rice in India and started supplying contaminated rice. Currently our Government has no technology to check the quality of the rice which they are getting imported, so the result is plastic rice arrived in India. Indirectly, India is in huge loss in terms of money and damages for its citizens health. So, there is a need of automated system to detect the quality of the rice that are imported. Another use of such automated system is that most of the people are not able to identify the type of the rice and the quality of the rice. This system helps even common man a facility in identifying the type and quality of rice.  2017 IEEE.</text>
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              <text>Manohar M.; Chatrapathy K.; Sowmya M.S.</text>
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              <text>Proceedings of the 2017 3rd International Conference on Applied and Theoretical Computing and Communication Technology, iCATccT 2017, pp. 71-73.</text>
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              <text>Institute of Electrical and Electronics Engineers Inc.</text>
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              <text>&lt;a href="https://doi.org/10.1109/ICATCCT.2017.8389108" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/ICATCCT.2017.8389108&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85050151285&amp;amp;doi=10.1109%2FICATCCT.2017.8389108&amp;amp;partnerID=40&amp;amp;md5=1255d7481eff15bf0e3159a26d460f9d" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85050151285&amp;amp;doi=10.1109%2fICATCCT.2017.8389108&amp;amp;partnerID=40&amp;amp;md5=1255d7481eff15bf0e3159a26d460f9d&lt;/a&gt;</text>
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              <text>ISBN: 978-153861144-9</text>
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              <text>Manohar M., Dept. of CSE, Faculty O/Engineering, Christ University, Bangalore, India; Chatrapathy K., Dept. of ISE, School O/Engineering and Technology, Jain University, Bangalore, India; Sowmya M.S., Dept. of ISE, School O/Engineering and Technology, Jain University, Bangalore, India</text>
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