Application of Image Processing Technique in Mango Leaves Disease Severity Measurement.
| Author(s) | : | Ravindra Nikam, Mahesh Sadavarte |
| Institution | : | Electronics and Telecommunication Department, Government college of Engineering, Jalgaon. |
| Published In | : | Vol. 2, Issue 14 — January 2015 |
| Page No. | : | - |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
Mango plants are affecting by different types ofdiseases due to which the plants cannot stay alive for a longduration. To solve the above the problem different pesticides areused, but the quantity of pesticides to be used is not well-knownbecause the disease on the plants are seen by the naked eye onlyand the results may not accurate. If more number of pesticidessprayed on the Mango plants, then the Mango plants may getdamage and it will affect the cost as well as the environmentpollutions likes’ water, air soil. In this paper we demonstrate anefficient and effective way of severity measurement of mango leafdisease using image processing techniques, in which Laplacianfilter techniques are used to segment the mango leaf area &disease region area respectively. Finally diseases are categorizedby calculating the percentage of disease area and total leaf area.
Ravindra Nikam, Mahesh Sadavarte, “Application of Image Processing Technique in Mango Leaves Disease Severity Measurement.”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 2, Issue 14, pp. -, January 2015.
