Mobile phones are widely used devices around.
Android, Windows Mobile, and the iPhone, mobile phones
are different brands which have changed the way we look
at mobile computing. Many applications like games, social
networking, and bank transactions are used on mobile
today. Today, everyone is using mobile phones, including
the farmers. Introduction to Information and
Communication Technologies (ICT) has an important role
in day-to-day life of farmers. Agriculture sector contributes
in daily needs of population in India and is main
backbone of GDP of Indian Economy. Farmers are the
main element of Agriculture. Farmers are not able to cope
up with complications occurring due to crop diseases. They
have to depend on Plant Biologist to resolve these problems.
Examining the plant affected by disease through a Plant
Biologist manually is a time consuming process. Plant
affected by the disease is not diagnosed within time then it
can affect the quality of the plant. A System can be
provided which can involuntarily obtain significant features
of the plant affected by disease and computing the
uploaded diseased plant image. It will easily help the Plant
Biologist to diagnose the disease of plant and provide the
farmers to take initial precautionary measures.
Acknowledging the significance and dominance of
Agriculture sector, System based on Content Based Image
Retrieval techniques and k-means algorithm is proposed for
diagnosing the plant disease is proposed.
Published In:IJCAT Journal Volume 3, Issue 11
Date of Publication : November 2016
Pages : 520-523
Figures :01
Tables : --
Dr.P.Banumathi : received BE, MCA, M.Phil,
MBA and Ph.D in the year 1994, 2004, 2007,
2008 and 2015. She is having 15 Years of teaching
experience and 5 years of Industrial experience.
Her area of interest is Artificial Neural Networks
and Image Processing. She has presented 10
technical papers in various International
Conference and 19 technical papers in National
Conference. She has published 22 articles in
International Journal. She is a member of Indian
Society for Technical Education (ISTE) and
Computer Society of India (CSI).
T.Sakthi Sree : received B.E Information
Technology in 2005 and M.E Computer Science
and Engineering in 2010 . Having a teaching
experience of 8 years. Working as as a Assistant
Professor, Department of Information Technology,
Kathir College of Engineering, Coimbatore,
Tamil Nadu. Presented papers in 8 National and 6
International Conferences in and around Tamil
Nadu.
S.P.VidhyaPriya : received B.E Information
Technology in 2011 and secured 42nd university
rank in M.E Computer Science and Engineering
in 2013.Having teaching experience of 4
years,Working as a Assistant Professor,
Information Technology, Kathir College of
Engineering, Coimbatore. Tamilnadu. Published 5
International Journals and presented 6 National
conferences in and around Tamil Nadu.
Low level features (colour, shape, texture) of the image are
extracted accurately using CBIR techniques and k -mean
clustering method will increase accuracy of the system by
classifying the images with similar features together. This
system can be incorporated with android mobile phones.
Thus, accurate results can be provided to user using
android smart phone.
[1] Ricardo da Silva Torres, Alexandre Xavier Falco,
“Content-Based Image Retrieval: Theory and
Applications”, Volume - XIII, Numero– 2, 2006.
[2] Sushant Shrikant Hiwale, Dhanraj Dhotre, “Content-
Based Image Retrieval: Concept and Current Practices”,
IEEE978-1-4799-7678-2/15, 2015.
[3] Balasubramanian Subbiah1, Seldev Christopher, “Image
Classification through integrated KMeans Algorithm”,
IJCSI Vol 9, Issue 2 No.2, March 2012.
[4] Poorani, Prathiba, Ravindran, “Integrated Feature
Extraction for Image Retrieval”, IJCSMC Vol. 2, Issue.
2, February2013.
[5] M. H. Saad, H. I. Saleh, H. Konbor, M. Ashour, “Image
Retrieval based on Integration between Color and
Geometric Moment Features”, Arab Journal of Nuclear
Sciences and Applications45(2)447-454(2012), 2012.
[6] S. Mangijao Singh, K. Hemachandran , “Image
Retrieval based on the Combination of Color Histogram
and Color Moment”, International Journal of Computer
Applications Volume 58– No.3, November 2012.
[7] Hong Liu, Xiaohong Yu, “Application Research of kmeans
Clustering Algorithm in Image Retrieval
System”,ISCSCT ISBN 978-952-5726- 07-7, Dec 2009.
[8] Sudeep Marwaha, Subhash Chand, Arijit Saha, “Disease
Diagnosis in Crops using Content Based Image
Retrieval”,IEEE 978-1-4673-5119-5/12, 2012.
[9] R. Pydipati, T.F. Burks, W.S. Lee, “Identification of
citrus disease using color texture features and
discriminant analysis”, Computers and Electronics in
Agriculture 0168-
1699, 2006.
