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Disadvantages<br />
1. Result transparency is low.<br />
2. Training is time consuming.<br />
3. Structure of algorithm is difficult to understand.<br />
CONCLUSION<br />
Therefore, this system will help the farmer to increase the production of agriculture. This<br />
method we can identify the disease present in monocot or dicot. Most of us we mainly used<br />
popular method, clustering method. This deals with the accuracy and fast approach of disease<br />
detection. By using this concept the disease identification is done for all kinds of plants and also<br />
the user can know the affected area of the plants in percentage. By identifying the disease<br />
properly, the user can rectify the problem very easy and with less cost. So I conclude that image<br />
processing is one of the important tools for disease detection of plants.<br />
REFERENCES<br />
1. P.Revathi, M.Hemalatha, “Classification of Cotton Leaf Spot Diseases Using Image<br />
Processing Edge Detection Technique”, ISBN, 2012, 169-173, IEEE.<br />
2. Santanu Phadikar & Jaya Sil[2008] Rice Disease Identification Using Pattern Recognition<br />
Techniques,<br />
3. Agrios, George N. (1972). Plant Pathology (3rd ed.). Academic Press.
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