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  Published Paper Details:

  Paper Title

PLANT LEAF DISEASE USING MACHINE LEARNING ALGORITHM

  Authors

  Samiksha Arjun Surywanshi,  Shivani gandhale,  Nutan navnathrao deshmukh,  Dipali santosh pandit,  Prof. Chhaya Nayak

  Keywords

Leaf disease detection, Image segmentation, masking, feature extraction, gradient boosting classification

  Abstract


Every country is having its economic source. The Indian economy depends on agricultural productivity. This technique is used to improve the performance of existing technology or to develop and design new technology for the growth of plants. The proposed agenda consists of four parts. They are Image preprocessing, Segmentation of the leaf, feature extraction, and classification of diseases. The first disease region is found using the segmentation technique, then both color and texture features are extracted. Finally, the classification technique is used to detect the type of leaf disease. The proposed system can effectively detect and categorize the examined disease with an accuracy of 80.05%.

  IJCRT's Publication Details

  Unique Identification Number - IJCRTI020041

  Paper ID - 211574

  Page Number(s) - 201-205

  Pubished in - Volume 9 | Issue 11 | November 2021

  DOI (Digital Object Identifier) -   

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

  E-ISSN Number - 2320-2882

  Cite this article

  Samiksha Arjun Surywanshi,  Shivani gandhale,  Nutan navnathrao deshmukh,  Dipali santosh pandit,  Prof. Chhaya Nayak,   "PLANT LEAF DISEASE USING MACHINE LEARNING ALGORITHM", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.9, Issue 11, pp.201-205, November 2021, Available at :http://www.ijcrt.org/papers/IJCRTI020041.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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