Diseases detection of God’s plant - Aloe vera using image processing

Santhanam Lakshmi


Detection of diseases at the earliest will be an ultimate solution to improve the productivity of the plants aiming to raise the profit with minimum expenditure. Digital image processing techniques are efficiently used in agriculture for protecting the plants and crop management. In the conventional method the farmers used to get suggestions from agriculture officers on unknown diseases. Generally they are using naked eye observation method which is not an effective one. In this work we process the mobile captured images of aloe vera to detect the infected part of the plant for further processing. The system applies image processing techniques such as image acquisition, image pre-processing and edge detection to identify the diseases. The damage ratio will be calculated by extracting the disease affected aloe vera leaf.  Three different color models for extracting the damaged image from aloe vera plant are implemented namely RGB, YCbCr and HSI and the results are compared. The experimental results show that the proposed approach enhances the accuracy of automatic detection of diseases in aloe vera using digital image processing.


— Aloe vera diseases, image processing, color models, edge detection and ratio of damage

Full Text:



B.O. Akinyele and A.C. Odiyi , “Comparative Study of Vegetative Morphology and the Existing Taxonomic Status of Aloe vera ..Journal of Plant Sciences, 2: 558-563,(2007).

Chandan BK, Saxena AK, Shukla S, Sharma N, Gupta DK, Suri KA, Suri J, Bhadauria M, Singh B, Hepatoprotective potential of Aloe barbadensis Miller. Against carbon tetra-chloride induced hepatotoxicity. J. Ethnopharmacol. 111:560-566 , (2007);

B.Cunha,“Application of Image Processing in Character-isation of Plants.” IEEE Conference on Industrial Electron-ics,(2003).

Daodu T . “Aloe vera, The Miracle Healing plant”. Health field Corporation, Lagos, Nigeria. 36p,(2000).

Hegger JP, “Beneficial effect of Aloe on wounds healing in an excisional wound healing”, Model J.Altern.Complement.Med.20 (2):271-277,(1996).

Kadiri EH “Effects of Aloe barbadensis Miller plant Extract on rats induced with hepatic injury”, Nig. J. Sci. Environ. 10(1&2): 317-321,(2011).

S. Lakshmi and Dr.V.Sankaranarayanan, “A Novel Ap-proach for Edge Detection”, IJCSNS International Journal of Computer Science and Network Security, Vol.10, No.4, April 2010.

A.Meunkaewjinda, P.Kumasawat , K.Altakitmongool & A.Srikaew “Graph leaf disease detection from color image-ry system using hybrid intelligent system”, proceedings of ECTICON,IEEE,pp-513-516,(2008).

Olusegun A, “One hundred medicinal uses of Aloe vera”, Good health Inc. Lagos, p.76,(2000).

Qing Yao,Zexin Guan, Yingfeng Zhou,Jian Tang,Yang Hu,Baojun Yang “Application of support vector machine for detecting rice diseases using shape and color texture fea-tures”, International conference on Engineering computa-tion, IEEE computer society,pp-79-83,(2009).

Talmadge J, Chavez J, Jacobs L, Munger C, Chinnah T, Chow JT, Williamson D, Yates K ,”Fractionation of Aloe Vera L. inner gel, purification and Molecular profiling of activi-ty”, Int. J. Immunopharmacol. 4: 1757-1773,(2004).

Sannakki S.S,Rajpurohit V.S,Nargund V.B, Arun Kumar .R, Yallur P.S, “ A hybrid intelligent system for automated pomegranate disease detection and grading”, IJMI- Interna-tional Journal of Machine Intelligence, Volume 3,Issue 2,pp-36-44,(2011).

Steenkamp V, Stewart MJ, “Medicinal application and toxico-logical activities of Aloe Products”, Pharm. Biol. 45: 411-420,(2007).

Vazqucz B, Avila G, Segura D, Escalante B, “Anti-inflammatory activity of extracts from Aloe vera gel”, J. Eth-nopharmacol. 55: 69-75,(2006).


  • There are currently no refbacks.