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International Journal of Computer Engineering in Research Trends. Scholarly, Peer-Reviewed,Open Access and Multidisciplinary

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Survey Paper on Detection of Unhealthy Region of Plant Leaves Using Image Processing and Soft Computing Techniques

Namita M. Butale, Dattatraya.V.Kodavade, , ,
Affiliations
Department of Computer Science, DKTE Society’s Textile & Engineering Institute, Ichalkaranji, India
:10.22362/ijcert/2018/v5/i12/v5i1204


Abstract
This paper provides survey on plant leaf disease detection technique by using image processing. Plants plays vital role in humans life, they fulfils our daily needs from food to breathing, It is our duty to take care of plants. India is an agricultural country and about 70% people are depending on agricultural. Plant disease detection is emerging field in India as agriculture is important sector that affects the economy and social life, so leaf disease detection is very important research topic. Most of the diseases on plants are caused by fungi, bacteria, and viruses. Due to the diseases on plant the quality and quantity of agriculture product is reduced. To detect the disease on plants there is need of experts but it is very costly procedure and time consuming too. To reduce the cost and for the better results we are using the automation techniques, which will be very helpful in detecting the disease at early stage. The paper discusses an automatic disease detection technique using soft computing.


Citation
Namita M. Butale,Dattatraya.V.Kodavade."Survey Paper on Detection of Unhealthy Region of Plant Leaves Using Image Processing and Soft Computing Techniques". International Journal of Computer Engineering In Research Trends (IJCERT) ,ISSN:2349-7084 ,Vol.6, Issue 01,pp.232-235, January - 2019, URL :http://ijcert.org/ems/ijcert_papers/V5I1204.pdf,


Keywords : Image Processing, Image segmentation, Genetic algorithm, Feature Extraction, Disease classification.

References
[1] Bhanu B, PengJ,“Adaptive integrated image segmentation and object recognition”, IEEE Trans Syst Man Cybern Part C 2000.

[2] H. Al-Hiary, S. Bani-Ah Mad, M. Reyalat, M. BraikAnd Z. ALrahamneh, “Fast And Accurate Detection And Classification Of Plant Diseases”, IJCA, 2011, 17(1), 31-38, IEEE-2010

[3] Mrunalini R. Badnakhe and Prashant R. Deshmukh, “ An Application of K-Means Clustering and Artificial Intelligence in PatternRecognitionforCropDiseases”,International Conference on Advancements in Information Technology IPCSIT vol.20  2011 

[4] ChaudharyPiyush , “ Color transform based approach for disease spot detection on plant leaf”, IntComputSciTelecommun 2012

[5] SmitaNaikwadi, NiketAmoda, “Advances in Image Processing for Detection of Plant Diseases”, International Journal of Application or Innovation in Engineering & Management Volume 2, Issue 11 November 2013

[6] Sachin D. Khirade and A. B. Patil, “ Plant Disease Detection Using Image Processing” IEEE International Conference on Computing Communication Control and Automation 2015

[7] Prakash M. Mainkar, ShreekantGhorpade and MayurAdawadkar “Plant Leaf Disease Detection and Classification Using Image Processing Techniques” International Journal of Innovative and Emerging Research in Engineering Volume 2, Issue 4, eISSN: 2394 – 3343, p-ISSN: 2394 – 5494.
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[8] VijaiSingh, A.K.Mishra, “Detection of plant leaf diseases using image segmentation and soft computing techniques”, INFORMATION PROCESSING IN AGRICULTURE 2017.


DOI Link : https://doi.org/10.22362/ijcert/2018/v5/i12/v5i1204

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  V5I1204.pdf


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DOI:10.22362/ijcert