Fruit Disease Detection and Classification Using Image Processing
Nadendla Sucharitha
, Maddikara Likitha , Malladi Karthik
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.
"Fruit Disease Detection and Classification Using Image Processing", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.7, Issue 11, page no.387 - 392, November-2022, Available :https://ijsdr.org/papers/IJSDR2211062.pdf
Volume 7
Issue 11,
November-2022
Pages : 387 - 392
Paper Reg. ID: IJSDR_202531
Published Paper Id: IJSDR2211062
Downloads: 000347245
Research Area: Engineering
Country: Hyderabad, Telangana, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
