Abstract
Leaf disease is a state where I find the abnormality observation in the growth of the plant. Most of the diseases I can easily find out by observing the conditions on leaf at regular intervals of time. If I found the diseases in early stage, then, I can save the plant without further growth of the disease by taking necessary actions. So, here made an attempt to find the leaf disease measure. Local Binary pattern, median filter, Morphological operations and edge detection are used for analyzing the disease in leaf images. For comparing the disease level, Rank table is considered. Finally, calculates the execution time for measuring the leaf disease in a leaf by using various edge detection techniques. This is further extended by using other techniques like hierarchical clustering.
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References
Clement, D.L.: An introduction to plant diseases. http://www.gardening.cornell.edu/education/mgprogram/mgmanual/04diseases.pdf
Introduction to plant pathology. http://www.ipm.iastate.edu/files/curriculum/05-introduction-to-Plant-Pathology_0.pdf
Weizheng, S., Yachun, W., Zhanliang, C., Hongda, W.: Grading method of leaf spot disease based on image processing. In: International Conference on Computer Science and Software Engineering, vol. 6, pp. 491–494. IEEE Computer Society, Washington (2008)
Revathi, P., Hemalatha, M.: Classification of cotton lead spot diseases using image processing edge detection techniques. In: International Conference on Emerging Trends in Science, Engineering and Technology, pp. 169–173. IEEE, Tiruchirappalli (2012)
A1 Bashish, D., Braik, M., Bani-Ahmad, S.: A framework for detection and classification of plant leaf and stem diseases. In: International Conference on Signal and Image Processing, pp. 113–118. IEEE, Chennai (2010)
Zhang, Y.C., Mao, H.-P., Hu, B., Li, M.-X.: Features selection of cotton disease leaves image based on fuzzy feature selection techniques. In: International Conference on Wavelet Analysis and Pattern Recognition, vol. 1, pp. 124–129. IEEE, Beijing (2007)
Abdullah, N.E., Alam, S., Rahim, A.A., Hashim, H., Kamal, M.M.: Classification of rubber tree leaf diseases using multilayer perceptron neural network. In: 5th Student Conference on Research and Development, pp. 1–6. IEEE, Selangor (2007)
Sankaran, S., Mishra, A., Ehsani, R., Davis, C.: A review of advanced techniques for detecting plant diseases. Int. J. Comput. Electr. Agric. 72(1), 1–13 (2010). (Elsevier, Great Britain)
Ying, G., Miao, L., Yuan, Y., Zelin, H.: A study on the method of image pre-processing for recognition of crop diseases. In: International Conference on Advanced Computer Control, pp. 202–206. IEEE, Singapore (2009)
Kurniawati, N.N., Abdullah, S.N.H.S., Abdullah, S.: Investigation on image processing techniques for diagnosing paddy diseases. In: International Conference of Soft Computing and Pattern Recognition, pp. 272–277. IEEE, Malacca (2009)
Jian, Z., Wei, Z.: Support vector machine for recognition of cucumber leaf diseases. In: 2nd International Conference on Advanced Computer Control, vol. 5, pp. 264–266. IEEE, Shenyang (2010)
Liu, L., Zhou, G.: Extraction of the rice leaf disease image based on BP neural network. In: International Conference on Computational Intelligence and Software Engineering, pp. 1–3. IEEE, Wuhan (2009)
Husin, Z.B., Shakaff, A.Y.B.M., Aziz, A.H.B.A., Farook, R.B.S.M.: Feasibility study on plant chili disease detection using image processing techniques. In: 3rd International Conference on Intelligent Systems, Modelling and Simulation, pp. 291–296. IEEE, Kota Kinabalu (2012)
Hashim, H., Haron, M.A., Osman, F.N., Al Junid, S.A.M.: Classification of rubber tree leaf disease using spectrometer. In: 4th Asia International Conference on Mathematical/Analytical Modelling and Computer Simulation, pp. 302–306. IEEE, Kota Kinabalu (2010)
Ojala, T., Pietikäinen, M., Harwood, D.: A comparative study of texture measures with classification based on feature distributions. Pattern Recoginit. 29(1), 51–59 (1996). (Elsevier, Great Britain)
Gonzales, R.C., Woods, R.E.: Digital Image Processing, 2nd edn. Addison-Wesley (1992)
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Haritha, D. (2018). Performance Evaluation of Leaf Disease Measure. In: Satapathy, S., Bhateja, V., Raju, K., Janakiramaiah, B. (eds) Data Engineering and Intelligent Computing. Advances in Intelligent Systems and Computing, vol 542 . Springer, Singapore. https://doi.org/10.1007/978-981-10-3223-3_4
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DOI: https://doi.org/10.1007/978-981-10-3223-3_4
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