Texture analysis for diagnosing paddy disease

Nunik Noviana Kurniawati, Siti Norul Huda Sheikh Abdullah, Salwani Abdullah, Saad Abdullah

Research output: Chapter in Book/Report/Conference proceedingConference contribution

15 Citations (Scopus)

Abstract

The objective of this research is to develop a diagnosis system to recognize the paddy diseases, which are Blast Disease (BD), Brown-Spot Disease (BSD), and Narrow Brown- Spot Disease (NBSD). This paper concentrates on extracting paddy features through off-line image. The methodology involves converting the RGB images into a binary image using variable, global and automatic threshold based on Otsu method. A morphological algorithm is used to remove noises by using region filling technique. Then image characteristics consisting of lesion percentage, lesion type, boundary color, spot color, and broken paddy leaf color are extracted from paddy leaf images. Consequently, by employing production rule technique, the paddy diseases are recognized about 87.5 percent of accuracy rates. This prototype has a very great potential to be further improved in the future.

Original languageEnglish
Title of host publicationProceedings of the 2009 International Conference on Electrical Engineering and Informatics, ICEEI 2009
Pages23-27
Number of pages5
Volume1
DOIs
Publication statusPublished - 2009
Event2009 International Conference on Electrical Engineering and Informatics, ICEEI 2009 - Selangor
Duration: 5 Aug 20097 Aug 2009

Other

Other2009 International Conference on Electrical Engineering and Informatics, ICEEI 2009
CitySelangor
Period5/8/097/8/09

Fingerprint

Textures
Color
Binary images

Keywords

  • Color segmentation
  • Feature extraction
  • Paddy leaf diseases
  • Production rule

ASJC Scopus subject areas

  • Information Systems
  • Software
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

Cite this

Kurniawati, N. N., Sheikh Abdullah, S. N. H., Abdullah, S., & Abdullah, S. (2009). Texture analysis for diagnosing paddy disease. In Proceedings of the 2009 International Conference on Electrical Engineering and Informatics, ICEEI 2009 (Vol. 1, pp. 23-27). [5254824] https://doi.org/10.1109/ICEEI.2009.5254824

Texture analysis for diagnosing paddy disease. / Kurniawati, Nunik Noviana; Sheikh Abdullah, Siti Norul Huda; Abdullah, Salwani; Abdullah, Saad.

Proceedings of the 2009 International Conference on Electrical Engineering and Informatics, ICEEI 2009. Vol. 1 2009. p. 23-27 5254824.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Kurniawati, NN, Sheikh Abdullah, SNH, Abdullah, S & Abdullah, S 2009, Texture analysis for diagnosing paddy disease. in Proceedings of the 2009 International Conference on Electrical Engineering and Informatics, ICEEI 2009. vol. 1, 5254824, pp. 23-27, 2009 International Conference on Electrical Engineering and Informatics, ICEEI 2009, Selangor, 5/8/09. https://doi.org/10.1109/ICEEI.2009.5254824
Kurniawati NN, Sheikh Abdullah SNH, Abdullah S, Abdullah S. Texture analysis for diagnosing paddy disease. In Proceedings of the 2009 International Conference on Electrical Engineering and Informatics, ICEEI 2009. Vol. 1. 2009. p. 23-27. 5254824 https://doi.org/10.1109/ICEEI.2009.5254824
Kurniawati, Nunik Noviana ; Sheikh Abdullah, Siti Norul Huda ; Abdullah, Salwani ; Abdullah, Saad. / Texture analysis for diagnosing paddy disease. Proceedings of the 2009 International Conference on Electrical Engineering and Informatics, ICEEI 2009. Vol. 1 2009. pp. 23-27
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