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Published December 15, 2018 | Version v1
Journal article Open

Disease Detection in Tree Leaves and Fruits using Image Processing Techniques

  • 1. M.E.Student (Communication Systems), Department of Electronics & Communication Engineering, Saranathan College of Engineering, Trichy, Tamil Nadu, India
  • 2. Professor, Department of Electronics & Communication Engineering, Saranathan College of Engineering, Trichy, Tamil Nadu, India

Description

India is the agriculture based country. Now a day, agricultural product yield is decrease for the reason of disease affect the plants like fungus, virus diseases. In this paper, we detect the tree leaves and fruits disease using image processing techniques. In this paper apple, grapes and pomegranate disease are detected. The apple diseases are apple scab, apple rot, Marssonina leaf blotch, black rot canker, apple mosaic. The grape diseases are black rot, powdery mildew, downy mildew, anthracnose, bacterial leaf spot, and rust. The pomegranate diseases are bacterial blight, aspergillus fruit rot, anthracnose, cercospora fruit spot, cescospora leaf spot.

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References

  • Nitesh Agrawal, Jyoti Singhai, Dheeraj K. Agarwal "Grape Leaf Disease Detection and classification Using Multi-class Support Vector Machine" International conference on Recent Innovations is Signal Processing and Embedded Systems (RISE-2017) 27-29 October, 2017
  • Sachin D. Khirade, A. B. Patil "Plant Disease Detection Using Image Processing" International Conference on Computing Communication Control and Automation(2015)
  • Rashmi Pawar, Ambaji Jadhav "Pomogranite Disease Detection and Classification" IEEE International Conference on Power, Control, Signals and Instrumentation Engineering (ICPCSI-2017)
  • R. Meena Prakash , G. P. Saraswathy, G. Ramalakshmi, K. H. Mangaleswari and T. Kaviya "Detection of Leaf Diseases and Classification using Digital Image Processing" 2017 International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS)

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