AUTHORS: S. Bhuvana, Kaviya Bharati B., Kousiga P., Rakshana Selvi S.

Download as PDF

ABSTRACT: Agriculture is the only passion to cultivate foods, raising a human’s life and animals by producing desired plant products. India ranked in the world's five largest producers of over 80% of agricultural produce items, including many cash crops such s rice, guava, tobacco, etc.Identification of the plant diseases is the key to preventing the losses in the yield and quantity of the agricultural product. Health monitoring and disease detection on plant is very critical for sustainable agriculture. It is very difficult to monitor the plant diseases manually. It requires tremendous amount of work, expertise in the plant diseases, and also require the excessive processing time. Consequently, image processing is used for the detection of plant diseases. The proposed system consist of following phases like: image preprocessing, image segmentation using otsu segmentation, clustering of an image using k-means, extract the feature using GLCM feature extraction, classify the image by Multi class SVM classifier. In compared to existing system, the proposed system significantly identify the plant leaf disease at an early disease and improve the accuracy to 98%.

KEYWORDS: image pre-processing, OTSU segmentation, K-means, GLCM, Multi Class SVM

REFERENCES:

[1] Anand.H.Kulkarni, Ashwin Patil R.K.Applying image processing technique to detect plant diseases International Journal of Modern Engineering Research (IJMER) www.ijmer.com Vol.2, Issue.5, Sep-Oct. 2012 pp-3661-3664 ISSN: 2249-6645.

[2] Arivazhagan S,Newlin Shebiah R,Ananthi S.Detection of unhealthy region of plant leaves and classification of plant leaf disease usi g Texture features Agric Eng Int CICR

[3] Bashir Sabah Sharma Navdeep. Remote area plant disease detection using Image processing .IOSR J Electron Communication Eng 2012;2(6):31-4.ISSN:2278-2834.

[4] Bhagya Patil, AnupamabPatlanshetty, Suvarna Nandyal. Plant classification using SVM classifier,Computational Intelligence and Info Technol,2013.

[5] Bhanu B,Peng J.Adaptive Integrated image segmentation and object recognition. IEEE Trans Syst Man Cybern Part C 2000;30:427-41.

[6] Ghaiwat Savita N,Arora Parul.Detection and classification of plant leaf disease using Image processing techniques: a review Int J Recent Adv Eng Technol 2014;2(3):2347-812.ISSN.

[7] L.Gurukumar,P.Sathyanarayanan, I.age Texture Feature Extraction using GLCM Approach ,International Journal of Scientific and Res,5 Jan 2013.

[8] Jianpeng Qi,Yanwei Yu,Lithong Wang.k means :An Effective and efficient k means clustering .2016 IEEE International Conferences on Big Data and Cloud Computing (BDCloud), Social Computing and Networking (SocialCom), Sustainable Computingand Communication(SustainCom) (BDCloudSocialCom-SustainCom).

[9] Karnal O Hajari,Miran R Gavahio.Unhealthy region of citrus leaf detection using Image processing techniques Convergence of Technology,(12CT)2014.

[10] Kumbhar Nithin P.Agricultural plant disease detection using Image processing .Int J.Adv Res Electr Electron Instrument Eng 2013.

[11] Liu Xumin,Than Yong.Research on k means clustering Algorithm :An improved kmeans clustering Algorithm; a review Int J Recent Adv Eng Technol 2010.

[12] Maroune Ben Haj Ayech,Hamid Amiri.Texture Description using Stasitical Feature Extraction,Int Computer Science Telecommun 2016;3(6).

[13] Ma Z Tavares,Image processing and analysis: application and trends AESATEMA'2010,Fifth International conference Canada,ISBN:978-0-9780479-7-9.

[14] Mrunalini R Badnakhe,Deshmukh Prashant R.An application. Of K- means clustering and artificial in pattern recognition for crop disease .Int Find Adv INF Technology 2011;20.2011 IPCSIT.

[15] Patil Sanjay B et AL.Leaf disease severity measurement using Image processing. Int J Eng Technol 2011;3(5):297-301.

[16] Sachin D khirade.Plant Disease detection using Image processing:a review .Int J Recent Adv Eng Technol2015,ICCUBEA,27 Feb 2015.

[17] Sofine Mouine,Other Yahioui,Anne Verroust-Blondet.Plant species recognition using spatial correlation between the leaf Margin and leaf salient points.,Int Agri. ICIP ,18 Sept 2013.

[18] Rathod Arti N,Tanawal Bhavesh,Shah Vatsal.Image processing techniques for detection of leaf disease.Int J Adv Res Comput Sci Soft Eng 2013;3(11).

[19] Woods Keri.Genetic algorithms: colour image segmentation literature review, 2007.

[20] Zhen MATavares JMRS,Natal JorgeRM,Areview on the current segmentation algorithm for medical image.In st inter national conference on imaging theory and applications, Portugal;2009,ISBN:978-989-8111-68-5;