Plant Leaf Sickness Recognition Using Image Processing

Authors

  • rohan panwar Department of I.C.T, Gautam Buddha University, Greater Noida, Uttar Pradesh, India
  • Anurag Singh Baghel Department of I.C.T, Gautam Buddha University, Greater Noida, Uttar Pradesh, India

DOI:

https://doi.org/10.37591/joipprp.v3i2.694

Keywords:

HSI, texture, co-occurrence matrix, masking of picture elements, plant sickness detection

Abstract

This paper demonstrates the use of image processing techniques in detection of diseases in plants. The system which we have demonstrated in this technique is a software result for computerized detection and computing of the texture enumeration for the leaf diseases in plants. This processing system involves four major steps: (1) in this step we take an RGB image as input and it’s colour transformation structure is created, (2) in the second step we mask the green pixels and then we remove them using well defined threshold value, (3) the image subdivision and the extraction of the useful segments is done the third step, (4) then last step involves the calculation of the texture statics. This helps in the determination of the disease, if any.

Cite this Article
Rohan Panwar, Anurag Singh Baghel. Plant Leaf Sickness Recognition Using Image Processing. Journal of Image Processing & Pattern Recognition Progress. 2016; 3(2): 26–31p.

References

Jayme Garcia Arnal Barbedo. Digital Image Processing Techniques for Detecting, Quantifying and Classifying Plant Diseases. Springer Plus. 2013.

Liboluo, Guomin Zohu. Extraction of the Rice Leaf Disease Image Based on Software Engineering. CiSE2009, IEEE. 2009.

Ananthi S, Vishnu Varthini S. Detection and Classification of Plant Leaf Diseases using Image Processing Techniqus. 2012.

Hiroya Kondou, Hatuyoshi Kitamura, Yutaka Nishikawa, et al. Shape Evaluation by Digital Camera for Grape Leaf. 2012.

Lindow SE, Webb RR. Quantification of Foliar Plant Disease Symptoms by Microcomputer-Digitized Video Image Analysis. Phytopathology, USA. 1983.

Smith SE, Dickson S. Quantification of Active Vesicular-Arbuscular Mycorrhizal Infection Using Image Analysis and Other Techniques. Funct Plant Biol. 1991; 18(6): 637–648p.

Ahmad, Irfan S, et al. Nitrogen Sensing for Precision Agriculture Using Chlorophyll Maps. ASAE Meeting Presentation. 1999.

Aleixos N, et al. Multispectral Inspection of Citrus in Real-Time Using Machine Vision and Digital Signal Processors. Comput Electron Agric. 2002; 33(2): 121–137p. 9. Škaloudová Barbora, Vlastimil Křivan, Rostislav Zemek. Computer-Assisted Estimation of Leaf Damage Caused by Spider Mites. Comput Electron Agric. 2006; 53(2): 81–91p.

Jean Williams-Woodward, Extension Plant Pathologist. Georgia Plant Disease. 2012.

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Published

2016-07-20

Issue

Vol. 3 No. 2 (2016)

Section

Research Articles

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