International Journal of Science , Engineering and Management (IJSEM)

Monthly Journal for Science , Engineering and Management

Volume3,April 2018,

Topic : Classification of Business Crop Disease by Data Analytics

Authors:Chintha Sireesha || Dr.M.S.S.Sai

Abstract:Due to automation, the term, data is large in amount so it is transformed as big data in many fields. Rapid advancements in the robotics cause floricultural data to participate in the era of big data. Traditional tools and techniques are side-lined to store and to determine this process on the part of data. To save and resolve this type of data is comparable in computing and in figuring out the need of model. Big data problem-solving is used as a quick solution to fix the problem.. To reach this solution we use Hadoop and Hive tools. The data is poised, cleansed and distribute. Data is encrypted from research laboratory reports and web sites etc. then cleansing of data is done i.e. necessary information which is extracted from disorderly unnecessary data. In the next step, we finish the normalization process. Later, Normalized data is uploaded on HDFS and save in a file placed hive. Havel is a SQL like interrogate sound which identifies some crop contamination symptoms like plague and so. And benefit an explanation occupying on evince from historical data. Result is picturized in the model graphs. That will compare the result with other with other diseases of the crop..

Keywords: Big data analytics, Hadoop, Havel, Recommendation system.

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DOI: 01.1617/vol5/iss4/pid85972


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Editor-in-Chief

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Dr.Muhammad Ishtiaq,
Mirpur University of
Science & Technology,
Mirpur, Azad Kasmir.

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IMPACT FACTOR: 2.7

ISSN(Online): 2456-1304

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Thomson Reuters ID : q-6288-2016.
ORCiD Research ID : 0000-0001-9540-6799

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ACCEPTANCE RATIO: 25%
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Journal Code : IJSEM
Electronic ISSN : 2456-1304
Impact Factor : 2.7
Frequency : Monthly
Contact : editor@ijsem.org

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