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Volume & Issue no: Volume 10, Issue 3, May - June 2021

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Title:
Rose Leaf Disease Detection using Digital Image Processing & Deep Learning
Author Name:
Varsha J. Sawarkar, Dr. Seema Kawathekar
Abstract:
Abstract—Rose plant is used to process for a research in this paper.Leaf disease detection is the input for to prevent the losses in the farming and also the product. Diseases decrease the efficiency of plant, which restricts the plant growth and also loss the quality and quantity. In this paperthe approach is to the progress of rose leaf disease detection model that is based on basic image classification, by the use of deep CNN. For detection on rose leafs we used here the image processing and deep learning techniques. Deep learning is the exact and precise model for the plant disease detection. Infected leaves are collected and labeled as per the diseases finding on it. Processing of taken image is performed along with the pixel wise operation to get better the image information. Extracting the features and fit into the neural network. By the detection with CNN in image processing is the success for representing the possibility of this approach in the category leaf disease detection. Keywords—Convolutional neural networks, deep learning, Image processing, Plant disease, Rectified Linear Units
Cite this article:
Varsha J. Sawarkar, Dr. Seema Kawathekar , " Rose Leaf Disease Detection using Digital Image Processing & Deep Learning " , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS) , Volume 10, Issue 3, May - June 2021 , pp. 001-004 , ISSN 2278-6856.
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International Journal of Emerging Trends & Technology in Computer Science (IJETTCS)
ISSN 2278-6856
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