To detect and identify cotton leaf diseases by using pattern recognition techniques.

Image Processing

In My country(India) most of the people are depend on the agriculture, According to the survey of Government of India Agriculture plays a vital role in the Indian economy. More than 70 percent of the rural families are depend on agriculture as their principal means of livelihood and source of income. India ranked in the worlds five largest producers of over 80 percent of agricultural produce items, including many cash crops such as cotton. It has become one of the worlds largest suppliers of rice, cotton. Cotton is very important crop in our country and if some disease will affected on that crop the total economy of the farmer as well as country will get collapse. Normally in my country if disease will get detected by the farmer he will contact to the Experienced person and get solution for the same but if the detection and identification of disease not correct will badly affecting on the plant. In second case farmer will contact to the owner of pesticide shop the person will suggest some wrong treatment with respect to his experience. In third case is that farmers are just going with nature they thing is that the disease will get cleared automatically in some period of span. The main motivation of this topic is to identify the type of disease and quantify the damage of crop thereby providing the treatment for the respective disease to the farmer. This identification and detection of disease is possible by using image processing techniques on the different parts of cotton crop. This paper will give information about the possible disease on cotton plants as well as possible treatment should provide to the farmer and what exact treatment for the disease.

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