to download project abstract

Agricultural productivity is something on which economy highly depends. This is the
major reasons that disease detection in plants plays an important role in agriculture field, as
having disease in plants are quite natural. If proper care is not taken in this area then it
causes serious effects on plants and due to which respective product quality, quantity or
productivity is affected. The Existing methods failed to detect plant diseases accurately and
efficiently. The proposed method will provide a robust system based on deep learning
techniques such as Convolutional neural networks (CNN), ResNet – 152 are used to
visualise various plant diseases. The Proposed system will detect plant diseases accurately
and efficiently which will meet all the bench marks.
Keywords: Plant disease, Deep learning, Convolutional neural networks (CNN), ResNet

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