Image Processing Tools Used For Detection of Diseases on Pomegranate Fruit |
Author(s): |
| Gitanjali Mule , Bharati Vidyapeeth’s College of Engineering for Women, Pune, India; Patil Supriya, Bharati Vidyapeeth’s College of Engineering for Women, Pune, India; Vidya Labade, Bharati Vidyapeeth’s College of Engineering for Women, Pune, India; Khot S.T, Bharati Vidyapeeth’s College of Engineering for Women, Pune, India |
Keywords: |
| RGB, HSV, Gabor filter, Minimum Distance Classifier |
Abstract |
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In India, agriculture field is the mother of all cultures. This is a global agricultural economy. Due to uneven climate conditions, the crops are affected, Because of that agricultural yield is decreasing. Therefore to avoid this, we are designing a project to detect the crop diseases using image processing. In this project we detect different diseases on pomegranate. In this, firstly we capture the image using a web cam and do image pre-processing on that. Secondly, we perform the process of color moments on the resized image. Thirdly, we extract its features using texture feature. Lastly, using Minimum Distance Classifier the features are classified with database and finally we detect the diseases. |
Other Details |
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Paper ID: IJSRDV4I30515 Published in: Volume : 4, Issue : 3 Publication Date: 01/06/2016 Page(s): 1123-1124 |
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