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Design and Implementation of Unhealthy Leaves Disease Detection Using Image Processing

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Document pages: 4 pages

Abstract: Indian economy is dependent on agriculture. Identification of the diseases is the main key to preventing the losses in the yield and quantity of the agricultural product.It is very difficult to identify the plant disease in the field. Leaves are important for fast growing of plants as well as production of crops. The farmer can easily identify the disease by seeing the symptoms but it take lot of time to identify different parts of field. So in these work is explore to design a vehicle it will move randomly in the field and it take video and send the mail as attachment. The video is converted to maximum number of frames and these frames are converted into images. This images are our input for the algorithm. By using image processing technique along with machine learning algorithm convolution Neural Network (CNN).In these work train the CNN algorithm with large number of leaf disease image data sets of different sizes and shapes. The proposed system is to design automatic vehicle to take video and mail it. These work is done by using raspberry pi3B. The video to image convert make some frames. In Convolution neural network algorithm and training process is done windows operating system (OS).

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