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Issue: November 2022

Volume 7 | Issue 11

Impact factor: 8.15

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Paper Title: Fruit Disease Detection and Classification Using Image Processing
Authors Name: Nadendla Sucharitha , Maddikara Likitha , Malladi Karthik
Unique Id: IJSDR2211062
Published In: Volume 7 Issue 11, November-2022
Abstract: Diseases in fruit cause devastating problem in economic losses and production in agricultural industry worldwide. In this project, a solution for the detection and classification of fruit diseases is proposed and experimentally validated. The image processing based proposed approach is composed of the following steps; First step K-Means clustering technique is used for the image segmentation. Second step some features are extracted from the segmented image. Finally, images are classified into one of the classes by using a Support Vector Machine. The proposed solution can significantly support accurate detection and automatic classification of fruit diseases. This technique is used to determine the infection on fruits of the plants. The datasets consist of data related to fruit conditions and the symptoms of disease to be affected. The fruit details and the identification of disease from the feature extraction are stored in the datasets. An application is developed for processing the data and providing intimation to the farmers. Thus, the variation in image from the datasets and also indicates the disease in the fruits. The main objective of this project is to provide a method to prevent fruit diseases and maximize profit of a farmer.
Cite Article: "Fruit Disease Detection and Classification Using Image Processing", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.7, Issue 11, page no.387 - 392, November-2022, Available :http://www.ijsdr.org/papers/IJSDR2211062.pdf
Downloads: 000150694
Publication Details: Published Paper ID: IJSDR2211062
Registration ID:202531
Published In: Volume 7 Issue 11, November-2022
DOI (Digital Object Identifier):
Page No: 387 - 392
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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