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A Smart Software for General Leaf Classification and Species Detection

Humayun Irshad, Gwanggil Jeon


The proposed automatic leaf detection unit is framed based on the following aspects. Initially, the image is acquired by camera ,36 tea leaves are used for detection of diseases. In future, we can change the leaf and measure the accuracy and detection. After the image aquistion, the image is processed through the pre-processing unit. Here, Median filter is used  to process the image without noise. Since, the retrieved image may contain noise. Hence, median filter deployed before pre-processing stage. We propose and experimentally evaluating a software solution for automatic detection and classification of different plant leaf diseases. The proposed work in an improvement to the work proposes in as previous, the new provides faster and accurate solution.

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