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Development of Disease Detection System Using Leaf Image Analysis


Affiliations
1 CSE Department, GNDEC, Ludhiana, India
2 IT Department, GNDEC, Ludhiana, India
 

In an agricultural country like India, farmers have a wide range of diversity to select the appropriate fruit or vegetable for cultivation. However, then cultivation of crops for optimum yield and quality produce needs the aid of technological support. The most challenging task for a farmer is to differentiate between a diseased and non-diseased plant and to cure the diseased plant well in time. Thus, there are different techniques which can identify the diseased leaf on the basis of parameters like color, shape and texture. Pixel-to-pixel and similarity measure methods are used to distinguish between a healthy and an unhealthy leaf. These techniques when applied extensively to agricultural science proves to be significantly effective in the field of plant protection. The comparison of these techniques has been done further in the paper, which accounts for disease identification.
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  • Development of Disease Detection System Using Leaf Image Analysis

Abstract Views: 124  |  PDF Views: 8

Authors

Ankurdeep Kaur
CSE Department, GNDEC, Ludhiana, India
Manpreet Singh
IT Department, GNDEC, Ludhiana, India
Priyanka Arora
CSE Department, GNDEC, Ludhiana, India

Abstract


In an agricultural country like India, farmers have a wide range of diversity to select the appropriate fruit or vegetable for cultivation. However, then cultivation of crops for optimum yield and quality produce needs the aid of technological support. The most challenging task for a farmer is to differentiate between a diseased and non-diseased plant and to cure the diseased plant well in time. Thus, there are different techniques which can identify the diseased leaf on the basis of parameters like color, shape and texture. Pixel-to-pixel and similarity measure methods are used to distinguish between a healthy and an unhealthy leaf. These techniques when applied extensively to agricultural science proves to be significantly effective in the field of plant protection. The comparison of these techniques has been done further in the paper, which accounts for disease identification.