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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM25828

CLASSIFICATION OF ARECANUT USING DIGITAL IMAGE PROCESSING

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM25828

Volume:

7 |

9 |

Sep 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

NT

Nayana T

DT

Dr. T.D.Shashikala

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Abstract

In agricultural domain research, image processing and machine learning techniques play an important role. One of India’s major cash crops is arecanut. A significant challenge in the field of agriculture is the grouping of arecanut. Arecanut categorization using image processing is an emerging field of research that aims to automate the process of grouping arecanut based on its color and shape using digital images. This paper presents a classification of Arecanut using Convolutional Neural Networks. General Terms Image Processing, Classification

KEYWORDS

Arecanut classification Machine learning Convolutional Neural Networks Deep learning.

Cite This Article

Nayana T, Dr. T.D.Shashikala, "CLASSIFICATION OF ARECANUT USING DIGITAL IMAGE PROCESSING," International Journal of Scientific Research in Engineering and Management, vol. 7, no. 9, Sep 2023. https://doi.org/10.55041/IJSREM25828

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Publication Date

9/26/2023

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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