文章基本信息

标题：Scab diseases detection of potato using image processing
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作者：Debabrata Samanta ; Prajna Paramita Chaudhury ; Arya Ghosh 等
期刊名称：International Journal of Computer Trends and Technology
电子版ISSN：2231-2803
出版年度：2012
卷号：3
期号：1-1
出版社：Seventh Sense Research Group
摘要：Scab disease of potato tubers resulting in lowered tuber quality due to scablike surface lesions. Potato is the most demanding vegetable of India to increase the productivity. In this paper proposes image processing methodology to detect scab disease of potato. In this paper first, the captured images are collected from different potato field and are processed for enhancement. Then image segmentation is carried out to get target regions (disease spots). Finally, analysis of the target regions (disease spots) based on histogram approach to finding the phase of the disease and then the treatment consultative module can be prepared by on the lookout for agricultural experts, so plateful the farmers.
关键词：Image processing; disease detection; image learning technique