IJBTT

Color Feature Extraction of Tomato Leaf Diseases

	International Journal of Engineering Trends and Technology (IJETT)
	© 2011 by IJETT Journal
	Volume-2 Issue-2
	Year of Publication : 2011
	Authors : Jayamala K. Patil,Raj Kumar

Citation

Jayamala K. Patil,Raj Kumar. "Color Feature Extraction of Tomato Leaf Diseases". International Journal of Engineering Trends and Technology (IJETT),V2(2):72-74 Sep to Oct 2011. ISSN:2231-5381. www.ijettjournal.org. Published by Seventh Sense Research Group.

Abstract

In addition to environmental parameters like rain, temperature; diseases on crop is major factor which affects production quality & quantity of crop yield. Hence disease management is key issue in agriculture. For management of disease, it nee ds to be detected at early stage so as to treat it properly & control spread of the disease. Because of advances in the technologies now a days it is possible to use the images of diseased leaf to detect the type of disease. This can be achieved by ext racting features from the images which can be further used with classification algorithms or content based image retrieval systems. In this paper Color of the image is used to extract the features of images by calculating the 1 st , 2 nd & 3 rd moment of Color . Tomato leaves are used for experimentation

References

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Keywords
Image Retrieval, Classification, Color