A Fuzzy Set Approach to Bacterial Wilt Recognition
Keywords:Bacterial wilt, Fuzzy classifier, Fuzzy logic, Inference Rules, Set theory
Bacterial wilt (Ralstonia Solanacearum) is a bacterial which attack most plant species in different plant families resulting in numerous financial implications to farmers. The predominant symptoms includes: yellowish leaves, permanent wilted leaves, permanent upright leaves, brownish vascular tissues, dark brownish cortex and thin thread of ooze infected structure. Bacterial wilt can be readily spread through the movement of contaminated soil and infected vegetative propagated plants, in contaminated irrigation water, and on the surfaces of tools (cutting knives) and equipment used to work with the plants, and on soiled clothing. It often attacks many floricultural and vegetable bedding plant crops. Some of the other known hosts of bacterial wilt include Pelargonium, tomato, peppers, eggplant, bean, and beet. Most of the approaches for bacterial wilt recognition are quite time consuming and subjective in nature. Therefore we proposed an objective approach, capable of initiating fuzzy rules with the aim of quick and objective recognition of bacterial wilt attack.
Angelov P., Zhou X. (2008), Evolving Fuzzy-Rule-based Classifiers from Data Streams, IEEE Transactions on Fuzzy Systems, ISSN 1063-6706, special issue on Evolving Fuzzy Systems, December 2008, vol. 16, No6, Pp.1462-1475.
Babuska R. (1998), Fuzzy Modeling for Control, Kluwer Academic Publishers, Boston, USA,
Cordon O., Jesus M. J., Herrera F. (1999), A proposal on reasoning methods in fuzzy rule-based classification systems, International Journal of Approximate Reasoning, Vol. 20 (1), Pp.22-45.
Gary W. M. (2014), “Bacterial Wilt -Ralstonia Solanacearum” retrieved from http://extension.psu.edu/pests/plant-diseases/all-fact-sheets/ralstonia
Ishibuchi H., Nozaki K., Yamamoto N., Tanaka H. (1995), Selecting fuzzy if-then rules for classification problems using genetic algorithms, IEEE Trans. on Fuzzy Systems, 3(3), 1995, pp.260-270.
Jones, R. K. (1993), Southern bacterial wilt, In Geranums IV, Geneva, IL: Ball Publishing.
Kim, S. H., Olson, T. N., Schaad, N.W., and Moorman, G. W. (2003), Ralstonia solanacearum race 3, biovar 2, the causal agent of brown rot of potato, identified in geraniums in Pennsylvania, Delaware, and Connecticut. Plant Disease 87:450.
Kuncheva L.I. (2000), Fuzzy Classifier Design, Springer-Verlag, Heidelberg
Kuncheva L.I. (2003) "Fuzzy" vs "Non-fuzzy" in combining classifiers designed by boosting, IEEE Transactions on Fuzzy Systems, Vol.11 (6), 2003, Pp. 729-741.
Lucas, G. B. (1975), Diseases of tobacco. Third ed. Raleigh, NC: Biological Consulting Associates.
Mamdani E. H. (1977), Application of fuzzy logic to approximate reasoning using linguistic synthesis, IEEE Trans. Computers Vol. 26(12), 1977, Pp. 1182-1191.
Nauck D., Klawonn F. and Kruse R. (1997), Foundations on Neuro-Fuzzy Systems, Wiley, Chichester
Roubos J., Setnes M., Abony I J. (2003), Learning fuzzy classification rules from Data, Journal of Information Sciences, Vol. 150, Pp.77-93
Takagi T. and M. Sugeno (1885), Fuzzy Identification of systems and its application to modeling and control, IEEE Trans. on Syst., Man & Cybernetics, 15, 1985, Pp. 116-132
Yager R.R. and Kacprzyk J, (1997), “The Ordered Weighted Averaging operators”. Theory and Applications, Kluwer Academic Publishers, USA,