Journal of Global Research in Computer Sciences | |
DAMAGED PADDY LEAF DETECTION USING IMAGE PROCESSING | |
article | |
Manoj Mukherjee1  Titan Pal1  Debabrata Samanta1  | |
[1] Burdwan Institute of Management & Computer Science Dewandighi | |
关键词: paddy; leaf; detection; image; processing; | |
来源: Research & Reviews | |
【 摘 要 】
In an agriculture field paddy is one of the major staple foods in the Asian countries like China, India, Indonesia, and Bangladesh etc. But paddy disease likes a Blast; Bacterial Leaf Blight; Rice tungro etc. stops the growth of the paddy trees. If the diseases are not detected at an early possible stage then there is a decrease in the production of paddy. In this paper a noble methodology i.e. image processing of the paddy leaf by histogram is proposed, to avoid large scale effect of these diseases. By this approach one can detect the disease at a very primary stage and thus can take necessary steps in time to minimize the loss of production. At first, an image of a paddy leaf is captured, and then processed for enhancement. Later, the image is converted from RGB colour image to gray image and then extracted to a histogram using MATLAB functions. The resultants of images are given as input to identify disease from classification of diseases and grading the diseases. After completing disease identification, and stage detection, a consultative treatment module of the disease was prepared with the help of agricultural experts.
【 授权许可】
Unknown
【 预 览 】
Files | Size | Format | View |
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RO202307140002551ZK.pdf | 131KB | download |