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  Published Paper Details:

  Paper Title

SMART SOLUTION ON PLANT DISEASE DETECTION USING IMAGE PROCESSING

  Authors

  M. RAVIKUMAR,  B.DIVYADHARSHINI,  J.JAYASHREE,  C.KANIMOZHI,  R.KOWSIKA

  Keywords

K-Means Segmentation, Agricultural productivity, monitoring in big farms of crops, symptoms of diseases, Visually identifying plant disease.

  Abstract


Agricultural productivity is something on which Indian economy highly depends. This is one of the reasons that disease detection in plants plays an important role in agricultural field, as having disease in plants is quite natural. If proper care is not taken in this area then it causes serious effects on plants and due to which respective product quality, quantity or productivity is deteriorated. Detection of plant disease through some automatic technique is beneficial as it reduces a large work of monitoring in big farms of crops, and at very early stage itself it detects the symptoms of diseases i.e. when they appear on plant leaves .Visually identifying plant diseases is inefficient, difficult, time consuming, requires expertise in plant diseases and continuous monitoring which might be expensive in large farms. Therefore; a fast, automatic and accurate method to detect plant disease is of great importance. Hence, image processing technique is employed for the detection of plant diseases. The implementation of these technologies will lead to improved productivity.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2303216

  Paper ID - 231143

  Page Number(s) - b987-b991

  Pubished in - Volume 11 | Issue 3 | March 2023

  DOI (Digital Object Identifier) -   

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

  E-ISSN Number - 2320-2882

  Cite this article

  M. RAVIKUMAR,  B.DIVYADHARSHINI,  J.JAYASHREE,  C.KANIMOZHI,  R.KOWSIKA,   "SMART SOLUTION ON PLANT DISEASE DETECTION USING IMAGE PROCESSING", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.11, Issue 3, pp.b987-b991, March 2023, Available at :http://www.ijcrt.org/papers/IJCRT2303216.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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