Paper Title

DETECTION AND CLASSIFICATION OF FRUIT DISEASE USING MACHINE LEARNING

Article Identifiers

Registration ID: IJNRD_222273

Published ID: IJNRD2405654

DOI: Click Here to Get

Authors

P.AKSHAYA , N.AKSHAYA , V.PRAVEEN , B.VIKAS , N.VENKATESWARAN, R JEGADEESAN

Keywords

Preprocessing, Feature extraction, CNN

Abstract

Inthe country like India, agriculture is the backbone of the overall GDP. This Horticulture has become one of the important source of economy for the country and even the farmers. Farmers will see much losses because of not identifying the diseases at early stage. Relying on pure naked-eye observation to detect and classifying diseases can be expensive for various Fruit diseases. It posess a great threat to the agricultural sector by reducing the life of the plants. In Agriculture field also image processing plays a very important role in identifying any disease of the Fruit and grading the quality of the fruit. Identification of the Fruit diseases will help in preventing the losses in the yieldand quantity of the agricultural product. The studies of the Fruit diseases mean the studies of visually observable patterns seen on the Fruit. Health monitoring and disease detection on Fruit is very critical for sustainable agriculture. It is not easy to monitor the fruit diseases manually. In this project, we have implemented the methods for the detection of Fruit diseases using the images of the fruit.

How To Cite

"DETECTION AND CLASSIFICATION OF FRUIT DISEASE USING MACHINE LEARNING", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 5, page no.g486-g493, May-2024, Available :https://ijnrd.org/papers/IJNRD2405654.pdf

Issue

Volume 9 Issue 5, May-2024

Pages : g486-g493

Other Publication Details

Paper Reg. ID: IJNRD_222273

Published Paper Id: IJNRD2405654

Downloads: 000121120

Research Area: Engineering

Country: -, -, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2405654.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2405654

About Publisher

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

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Call For Paper - Volume 10 | Issue 8 | August 2025

IJNRD is Scholarly open access journals, Peer-reviewed, and Refereed Journals, High Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool), Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) with Open-Access Publications.

INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

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Paper Submission Open For: August 2025

Current Issue: Volume 10 | Issue 8

Last Date for Paper Submission: Till 31-Aug-2025

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