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  Published Paper Details:

  Paper Title

ENHANCEMENT OF CROP PRODUCTION USING DATA MINING AND MACHINE LEARNING TECHNIQUES

  Authors

  Sonali Sinha ,  Prashant tiwari,  Preksha J.W,  Shalini N,  Kushal kumar B.N

  Keywords

ANN ,RNN ,SVM, Activation function , Optimizer, Encoding, Angular 8 , Django , Tensorflow 2.0

  Abstract


Currently India is facing a huge population crisis, the current population is 133.92 crore and there are predictions that India will be adding 273 million more by 2050, which will eventually make the population of the country 161 crores. Providing food security to every individual will become the challenging task and it will increase a lot more pressure on farm lands to grow more crops. But the agriculture land is decreasing at a rate of 30,000 hectares per year.Which means farmers are giving up on their agricultural land and the primary reason behind this is significant drop in the yield eventually translating into low revenue.The poor yield can be attributed to many factors such as climate change, change in the nature of soil and farmers not well equipped with information to adjust their methods to changing conditions.There is a need to make a platform which can help our farmers to take right decision on field and not to confuse them with lots of information.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2006526

  Paper ID - 196103

  Page Number(s) - 3847-3852

  Pubished in - Volume 8 | Issue 6 | June 2020

  DOI (Digital Object Identifier) -   

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

  E-ISSN Number - 2320-2882

  Cite this article

  Sonali Sinha ,  Prashant tiwari,  Preksha J.W,  Shalini N,  Kushal kumar B.N,   "ENHANCEMENT OF CROP PRODUCTION USING DATA MINING AND MACHINE LEARNING TECHNIQUES", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.8, Issue 6, pp.3847-3852, June 2020, Available at :http://www.ijcrt.org/papers/IJCRT2006526.pdf

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ISSN: 2320-2882
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ISSN and 7.97 Impact Factor Details


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