Detection and Classification of Apple Fruit Diseases using K-means clustering and Learning Vector Quantization Neural Network.
Mr. Abhijeet Vishnu Jamdar
, Prof.A.P.Patil
Apple Fruit Disease Detection and Classification
In development of India there is major contribution of agricultural field. There are so many fruits that are exported from India and give more profit to the farmers. Diseases in fruit cause devastating problem in economic losses and production in agricultural industry. Manual identification of defected fruit is very time consuming. Web-based system used to help non experts in identifying fruit diseases, based on the picture representing the symptoms of the fruit. In this paper, we suggest a solution for the detection and classification of three common diseases on apple fruit (apple rot, apple scab, apple blotch). The image processing based proposed approach is composed of the three main steps; in the first step K-Means clustering segmentation algorithm is used for the image segmentation, in the second step some state of the art features are extracted from the segmented image, and finally images are classified into one of the classes by using Learning Vector Quantization Neural Network. Experimental results showed that the proposed system can significantly support accurate detection and automatic classification of apple fruit diseases. For the proposed solution we get more than 95% classification accuracy
"Detection and Classification of Apple Fruit Diseases using K-means clustering and Learning Vector Quantization Neural Network.", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.2, Issue 6, page no.423 - 429, June-2017, Available :https://ijsdr.org/papers/IJSDR1706064.pdf
Volume 2
Issue 6,
June-2017
Pages : 423 - 429
Paper Reg. ID: IJSDR_170528
Published Paper Id: IJSDR1706064
Downloads: 000347229
Research Area: Engineering
Country: Sangli, Maharashtra, 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
