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  Published Paper Details:

  Paper Title

AN OVERVIEW OF HOW TO DETECT DISEASE IN LEAVES AND MONITOR THE SOIL MOISTURE, SALINITY AND PH VALUE

  Authors

  Kavitha K K ,  Payal Jain C,  Rupendra Pratap Singh,  Nishant Kumar

  Keywords

: Image processing, crop disease, soil moisture, salinity, PH value, Raspberry Pi

  Abstract


The prime need of this world is best agriculture which decides the development of each country as the survival of human being is completely dependent on farming and it best production. The main problem that is observed in most of the regions of farming is the early diseases in crops, no proper monitoring of soil moisture, water level and PH, because of which the production results in low level identification of diseases on plant and is the very important research topic in agriculture fields and It is also important to take the primitive measures in monitoring of water, salinity and PH of the growing crops. thus, this paper illustrates the mechanism for early detection of crop using image processing and it also illustrates, how basic requirements of growing plants are controlled and monitored. This paper contains an overview of how the disease in the plant will be detected and how to monitor and control the moisture in the soil, measure salinity and PH value.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT1872192

  Paper ID - 183027

  Page Number(s) - 206-211

  Pubished in - Volume 6 | Issue 1 | March 2018

  DOI (Digital Object Identifier) -   

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

  E-ISSN Number - 2320-2882

  Cite this article

  Kavitha K K ,  Payal Jain C,  Rupendra Pratap Singh,  Nishant Kumar,   "AN OVERVIEW OF HOW TO DETECT DISEASE IN LEAVES AND MONITOR THE SOIL MOISTURE, SALINITY AND PH VALUE", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.6, Issue 1, pp.206-211, March 2018, Available at :http://www.ijcrt.org/papers/IJCRT1872192.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: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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