Detection of Colletotrichum Gloeosporioides Fungus Isolates Development/Spread for Mango (Mangifera Indica L.) Cultivar from Electronic Nose Using Multivariate-Statistical Analysis
Keywords:
Colletotrichum Gloeosporiodes, E-Nose, Principal Component Analysis (PCA), Volatile Organic Compound (VOC),Abstract
Agriculture plays a very important role in Asia economic sectors. For Malaysia, it plays a big contribution towards the country’s development. Mangifera Indica L., commonly known as Mango, is one of the fruit that has high economic demand and potential in Malaysia export business. However, due to radical climate changes from hot to humid, Mango is exposed towards a number of disease and this will affect its production. Colletotrichum gloeosporioides is one of the major diseases that could occur on any types of Mango. This fungus can attack on fruit skin and leaf, therefore a method that able to detect and control it would be much appreciated. Hence, this paper shows that the presence of Colletotrichum gloeosporioides type of pathogen can be detected by using Electronic Nose (E-Nose). The E-Nose will detect the Volatile Organic Compound (VOC) that produced from this fungus. Further analysis and justification on its existence are completed by using one of Multivariate-Statistical Analysis method which is Principal Component Analysis (PCA).The analysis results effectively show that the PCA is able to classify the number of isolating days of this type of fungus after cultured. Furthermore the potential of pre-symptomatic detection of the plant diseases was demonstrated.References
B. E. Method, “Chapter 1 Introduction 1.1,” vol. 65, no. Ma 224, pp. 1–12, 2011.
R. S. M. Farook et al., “Agent-based decision support system for harumanis mango flower initiation,” Proc. - CIMSim 2011 3rd Int. Conf. Comput. Intell. Model. Simul., pp. 68–73, 2011.
H. Pierre, “Mangiferin as a Biomarker for Mango Anthracnose Resistance,” 2015.
“Ploetz, R.C.. Diseases of Tropical Fruit Crops. Wallingford, GB: CAB International, 2003. ProQuest ebrary. Web. 19 October 2016. Copyright © 2003. CAB International. All rights reserved.,” no. October, 2016.
P. Chowdappa, C. S. Chethana, R. Bharghavi, H. Sandhya, and R. P. Pant, “Morphological and molecular characterization of Colletotrichum gloeosporioides ( Penz ) Sac . isolates causing anthracnose of orchids in India,” Biotechnol. Bioinf. Bioeng., vol. 2, no. 1, pp. 567–572, 2012.
S. Li, A. L. Simonian, and B. a. Chin, “Sensors for agriculture and the food industry,” ECS Interface, vol. 19, pp. 41–46, 2010.
L. Pan, W. Zhang, N. Zhu, S. Mao, and K. Tu, “Early detection and classification of pathogenic fungal disease in post-harvest strawberry fruit by electronic nose and gas chromatography-mass spectrometry,” Food Res. Int., vol. 62, pp. 162–168, 2014.
A. Uaciquete, “Characterization, epidemiology and control strategies for the anthracnose pathogen (,” 2013.
Randy C. Ploetz, “Anthracnose of mango: Management of the most important pre‐ and post‐harvest disease Randy,” pp. 1–11, 2009.
Maz Jamilah Masnan, Ammar Zakaria, Ali Yeon Md. Shakaff, Nor Idayu Mahat, Hashibah Hamid, Norazian Subari and Junita Mohamad Saleh, "PRINCIPAL COMPONENT ANALYSIS – ENGINEERING APPLICATIONS"
K. Arshak, E. Moore, G. M. Lyons, J. Harris, and S. Clifford, “A review of gas sensors employed in electronic nose applications,” Sens. Rev., vol. 24, no. 2, pp. 181–198, 2004.
F. Martinelli et al., “Advanced methods of plant disease detection. A review,” Agron. Sustain. Dev., vol. 35, no. 1, pp. 1–25, 2015.
C. Engineering and P. Thani, “Classification and pattern recognition algorithms applied to E-Nose,” no. Eict, pp. 44–48, 2015.
R. Reris and J. P. Brooks, “Principal Component Analysis and Optimization : A Tutorial,” pp. 212–225, 2015.
P. Bickel et al., “Springer Series in Statistics.”, Springer, 1997.
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