An image-processing diagnostic program for identifying common rice diseases in the Philippines
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ID: 286680
2012
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Abstract
In the past decades various epidemics have crippled the supply of rice in the Philippines. Various methods have been created to detect crop diseases early to aid in its prevention by use of software. This study deals with the detection of four common rice diseases in the Philippines. Images of diseased rice plants are obtained from the IRRI. The .jpg files are modified by various techniques in image processing using various image software but mostly MATLAB, following this basic procedure: pre-processing, quantization, pixel classifying, and classification via decision table and matrices. The Naive-Bayes classifier is used to train and test the images according to their Lab pixel values and classify them by disease. The testing and training images are organized into datasets containing images of diseased leaves from different sources to note the effects of difference of sources in the overall analysis.
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| Authors | Fontanilla, Gio Kristofer A. |
| Journal | Malay Journal |
| Year | 2012 |
| DOI |
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| Keywords | Keywords not found |
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