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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM24741

A SURVEY PAPER ON PLANT DISEASE IDENTIFICATION USING MACHINE LEARNING

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM24741

Volume:

7 |

7 |

Jul 2023

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

DSGBB

Dr Shankar Gowda B B

KvK

Karthik v Karanam

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Abstract

Agriculture plays an important role in farmer’s life. Sometimes manual identification of disease is time consuming and need of labor is more. One of the most important facts that reduce the growth of plants is disease attack. Overall study about agriculture shows that quality and quantity of agricultural products may be reduced due to various factors of plant diseases. These diseases can be more easily identified by using machine learning approach as compared to manual method. Hence machine learning method can be used to identify the affected leaf images.Images captured by camera will be processed using different image processing technique. These techniques will help in identifying plant diseases thereby increasing the yield of plants. This survey paper describes plant disease identification using Machine Learning Approach and study in detail about various techniques for disease identification and classification is also done.

KEYWORDS

Feature extraction image processing techniques SVM PNN ANN and GA

Cite This Article

Dr Shankar Gowda B B, Karthik v Karanam, "A SURVEY PAPER ON PLANT DISEASE IDENTIFICATION USING MACHINE LEARNING," International Journal of Scientific Research in Engineering and Management, vol. 7, no. 7, Jul 2023. https://doi.org/10.55041/IJSREM24741

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Publication Date

7/21/2023

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Double-Blind Peer Review

Review Rounds: 2

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