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  Published Paper Details:

  Paper Title

AN EXPEDIENT PREDICTION TECHNIQUE IN AGRICULTURE INTELLIGENCE

  Authors

  Dr. Tejaskumar R. Ghadiyali,  Dr. Kalpesh B. Lad

  Keywords

Prediction Techniques, Price Prediction, Agriculture Intelligence, Soft Computing

  Abstract


India is the second largest producer in agriculture produce in the world. For the economic development of India, development of agriculture sector is must. Farmer community is the backbone of the agriculture system and well mannered sustainability of farmer community surely leads towards the well being of the country. In this study the researchers have tried to carry out critical analysis of prediction techniques as an exceptional case study with agriculture commodity. This study offers critical analysis of agriculture commodity market price prediction using Statistical and Soft Computing approaches and judge expedient prediction techniques out of it. This study basically contributes to the well being of the farmer community and thereby enhances their ability towards Intelligence agri-business.

  IJCRT's Publication Details

  Unique Identification Number - IJCRTDRBC056

  Paper ID - 187322

  Page Number(s) - 391-398

  Pubished in - Volume 6 | Issue 2 | MARCH 2018

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Dr. Tejaskumar R. Ghadiyali,  Dr. Kalpesh B. Lad,   "AN EXPEDIENT PREDICTION TECHNIQUE IN AGRICULTURE INTELLIGENCE ", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.6, Issue 2, pp.391-398, MARCH 2018, Available at :http://www.ijcrt.org/papers/IJCRTDRBC056.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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