Areca Nuts Classification based on size and color using CNN model

Areca Nuts Classification based on size and color using CNN model

Registration ID: IJNRD_217427

Published ID: IJNRD2404198

DOI: Click Here to Get

Yash Nagda , Madhukar , Lohit B Nijaguni , Sulabh Anand , Kavitha

Areca nut, also known as betel nut, is a tropical crop. India holds the position of the world's second-largest producer and consumer of areca nuts, which undergo various challenges throughout their life cycle. Farmers traditionally rely on their visual senses to identify diseases in the nuts. This paper explores multiple image processing techniques aimed at categorizing areca nuts based on properties like color and texture. In real-world applications, computer detection models have gained popularity for their quick, efficient, accurate, and transparent testing capabilities. Unlike manual separation methods employed thus far, this study proposes the use of a sophisticated color sorting mechanism that considers external nut properties such as color, texture, shape, and size. The captured image is analyzed using various approaches to extract relevant information, including the classification of areca nuts based on their size and color. The efficient planning of areca nuts requires consideration of all these traits. The classification models developed in this research serve as valuable tools for stakeholders in the areca nut industry, including farmers, traders, and processors, enabling them to optimize sorting processes and tailor their products to meet specific market demands. When given training data, it categorizes the data into healthy and unhealthy areca nuts based on colour and quality. Areca nut is separated using CNN classifiers.

Published Paper   E-Certificate

"Areca Nuts Classification based on size and color using CNN model", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 4, page no.b815-b820, April-2024, Available :https://ijnrd.org/papers/IJNRD2404198.pdf

Volume 9 Issue 4, April-2024

Pages : b815-b820

Paper Reg. ID: IJNRD_217427

Published Paper Id: IJNRD2404198

Downloads: 000121194

Research Area: Engineering

Country: BENGALURU, KARNATAKA, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2404198.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2404198

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

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