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Journal: International Journal of Engineering Sciences & Research Technology (IJESRT) (Vol.4, No. 6)

Publication Date:

Authors : ; ; ;

Page : 135-143

Keywords : : image processing; stem; stairs; canny edge detection; surf; entropy; warp; imagesc; mean2; standard deviation;

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Crop diseases cause significant damage and economic losses in crops worldwide. It is difficult for farmers as well as experts/doctors to identify the symptoms of diseases correctly and to specify right remedy. It is very difficult task for farmers to monitor the large farms always so farmers are in great need to develop a computerized system that monitors crop when it is infected with diseases. This can be performed by capturing an image of a crop leaf, then extracting a predefined feature from the captured image and finished by determining the disease. The proposed method is useful in crop protection especially large area farms, which is based on computerized image processing techniques that can de tect diseased leaves using color information of leaves.It can be summarized by capturing an image of a certain plant leaf followed by extracting feature from the captured image then convert rgb to gray image & resize it,Create stem, stirs, canny edge detec tion, apply various comparison techniques, which would decide the disease and would also detect the type of plants diseases at early stages and enables early control and protection measures.

Last modified: 2015-06-16 21:17:56