Grape Leaf Disease Detection, Classification and Analysis by using Spatial Graylevel Dependence Matrices
| Author(s) | : | Pradnya Ravindra Narvekar, ,S.N.Patil |
| Institution | : | Dept. of Electronics Engineering, PVPIT Budhgaon |
| Published In | : | Vol. 1, Issue 9 — September 2014 |
| Page No. | : | 52-57 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
Plant diseases need to be controlled for at least two reasons: to maintain the quality of food produced byfarmers around the world and in order to reduce the food-borne illnesses originated from infected plants. Thus,automatic identification of “unhealthy” regions in leaf images is a useful tool for various biological research projectsaiming the control of diseases or characterization of plant defense mechanisms. There is a wide variety of plant diseasescaused by either environmental factors (nutrition, moisture, temperature, etc.) or by other organisms (fungi, bacteria,viruses). However, in most cases the common symptom is the change of the leaf color. We propose and experimentallyevaluate a software solution for automatic detection and classification of Grape plant leaf diseases.
Pradnya Ravindra Narvekar, ,S.N.Patil, “Grape Leaf Disease Detection, Classification and Analysis by using Spatial Graylevel Dependence Matrices”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 1, Issue 9, pp. 52-57, September 2014.
