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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM23273

Image-based Plant Diseases Detection Using Convolution Neural Networks

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM23273

Volume:

7 |

6 |

Jun 2023

Pages:

Publication Frequency:

Monthly (12 issues per year)

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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

C

Ch.Trupti

Bk

B.Uday kiran

Sk

S.Uday kiran

Ok

O.Uday kiran

Sk

S.Uday kumar

P

P.Udayini

B

Bhavani

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Abstract

In developing countries like India, agriculture has a major role to play but the issue of food security continues to be an important one. Because of the lack of storage facilities, transportation and plant disease there is a high incidence of crop loss. An automatic system allowing identification of these diseases and providing assistance for farmers to manage their crop loss needs to be put in place. Farmers are using a conventional method of identifying plant diseases with their naked eye and it is not possible for all farmers to do the same. In the agricultural sector, there is a need to take advantage of computer vision due to advances in artificial intelligence.Deep learning is the preferred method of starting with this problem, due to its rich libraries and user experience as well as developer friendly environment.

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Cite This Article

Ch.Trupti, B.Uday kiran, S.Uday kiran, O.Uday kiran, S.Uday kumar, P.Udayini, Bhavani, "Image-based Plant Diseases Detection Using Convolution Neural Networks," International Journal of Scientific Research in Engineering and Management, vol. 7, no. 6, Jun 2023. https://doi.org/10.55041/IJSREM23273

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Publication Date

9/5/2023

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Double-Blind Peer Review

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