The week's pick
Reseach Article
Plant Disease Detection using Image Processing- A Review
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 124 - Number 16 |
| Year of Publication: 2015 |
| Authors: Surender Kumar, Rupinder Kaur |
10.5120/ijca2015905789
|
Surender Kumar, Rupinder Kaur . Plant Disease Detection using Image Processing- A Review. International Journal of Computer Applications. 124, 16 ( August 2015), 6-9. DOI=10.5120/ijca2015905789
Abstract
This paper holds a survey on plant leaf diseases classification using image processing. Digital image processing has three basic steps: image processing, analysis and understanding. Image processing contains the preprocessing of the plant leaf as segmentation, color extraction, diseases specific data extraction and filtration of images. Image analysis generally deals with the classification of diseases. Plant leaf can be classified based on their morphological features with the help of various classification techniques such as PCA, SVM, and Neural Network. These classifications can be defined various properties of the plant leaf such as color, intensity, dimensions. Back propagation is most commonly used neural network. It has many learning, training, transfer functions which is used to construct various BP networks. Characteristics features are the performance parameter for image recognition. BP networks shows very good results in classification of the grapes leaf diseases. This paper provides an overview on different image processing techniques along with BP Networks used in leaf disease classification.
References
- Savita N. Ghaiwat, ParulArora, “Detection and Classification of Plant Leaf Diseases Using Image processing Techniques: A Review”, International Journal of Recent Advances in Engineering and Technology, ISSN: 2347-2812, Volume 2, Issue 3, 2014.
- Prof. Sanjay B. Dhaygude and Mr. Nitin P. Kumbhar, “Agricultural plant Leaf Disease Detection Using Image Processing” International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, Volume 2, Issue , 2013.
- Mr. Pramod and S. landge , “Automatic Detection and Classification of Plant Disease through Image Processing”, International Journal of Advanced Research in Computer Science and Software Engineering, Volume 3, Issue 7, ISSN: 2277 128X, 2013.
- Anand H. Kulkarni and Ashwin Patil R. K, “Applying image processing technique to detect plant diseases”, International Journal of Modern Engineering Research (IJMER), Volume 2, Issue.5, pp-3661-3664 ISSN: 2249-6645, 2012
- Haiguang Wang, Guanlin Li, Zhanhong Ma, Xiaolong Li, “Image Recognition of Plant Diseases Based on Back propagation Networks”, 5th International Congress on Image and Signal Processing (CISP), 2012
- Piyush Chaudhary Anand K. Chaudhari, Dr. A. N. Cheeranand Sharda Godara “Color Transform Based Approach for Disease Spot Detection on Plant Leaf”, International Journal of Computer Science and Telecommunications, Volume 3, Issue 6, 2012.
- M. Egmont-Petersen, “ Image processing with neural networks”, Elsevier, Volume 35, Issue 10, October 2002, Pages 2279–2301 2002
- Muhammad Faisal Zafar, Dzulkifli Mohamad, Muhammad Masood Anwar “Recognition of Online Isolated Handwritten Characters by Back propagation Neural Nets Using Sub-Character Primitive Features”, IEEE Multitopic Conference, 2006.
- Jayme Garcia, ArnalBarbedo, “Digital image processing techniques for detecting, quantifying and classifying plant diseases”, Springer Plus, 2013.
- SmitaNaikwadi, NiketAmoda, “Advances in Image processing for detection of plant disease”, International Journal of Application or Innovation in Engineering & Management, Volume 2, Issue 11, 2013.
- Ms. Kiran, R. Gavhale, Prof. Ujwalla Gawande, “An Overview of the Research on Plant Leaves Disease detection using Image Processing Technique” IOSR Journal of Computer Engineering (IOSR-JCE) e-ISSN: 2278-0661, p- ISSN: 2278-8727Volume 16, Issue 1, PP 10-16, 2014.
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