Farmer Helping System To Diagnose Plant Leaf Diseases |
Author(s): |
Prajakta Mahendra Sonawane , SKNCOE, Pune; Pratiksha Amrut Kale, SKNCOE, Pune; Nivedita Harishchandra Dahima, SKNCOE, Pune; Gauri G. Bilaye, SKNCOE, Pune |
Keywords: |
Texture, Content-Based Image Retrieval |
Abstract |
In a research of the diagnosing disease, the pattern of disease is an important part. Many diseases are occurring on the leaf, so its color for different diseases is also different. There are various other features related to the shape of an image such as holes are present on the leaf are of an elliptical shape. Farmers need information about fertilizers, pesticides, information of atmosphere, etc. many things. Today this information is available in a scattered manner, and it is not providing proper diagnosis about various diseases. We can detect it by Image analysis. Image analysis by using Content- based Image Retrieval(CBIR) is an important method that helps segment image into objects and background, the key steps in image analysis is feature detection. Our Android application can provide the exact differentiation between the variation of color and texture present on these leaves. Depending upon that variation the further comparison with database stored image features is based on the color and texture. |
Other Details |
Paper ID: IJSRDV4I20038 Published in: Volume : 4, Issue : 2 Publication Date: 01/05/2016 Page(s): 1-3 |
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