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Volume 3 | Issue 4

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Impact Factor : 4.87

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Paper Title: Pomegranate Fruits Disease Classification with K Means Clustering
Authors Name: SHIVANAND B LAMANI
Unique Id: IJRTI1803012
Published In: Volume 3 Issue 3, March-2018
Abstract: Abstract: The Identification of pomegranate fruit disease (bacterial blight, scab etc.) and also the remedy for that disease after identification are proposed. Bacterial Blight disease needs to control at initial stages otherwise it makes economic loss to farmers. The captured image of the diseased fruit uploads to the system. The system then makes the image processing and makes the classification of fruit is infected. In Proposed system comparative accuracy analysis is done using K-means segmentation and also with different classifiers like PNN (Probabilistic Neural Network), KNN (K Nearest Neighbours’) and SVM (Support Vector machine). To achieve more accuracy closed capturing system, with high resolution camera is used, due to this capturing system 99% accuracy is achieved.
Keywords: K-means segmentation, PNN (Probabilistic Neural Network), KNN (K Nearest Neighbours’) and SVM (Support Vector machine).
Cite Article: "Pomegranate Fruits Disease Classification with K Means Clustering", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.3, Issue 3, page no.74 - 80, March-2018, Available :http://www.ijrti.org/papers/IJRTI1803012.pdf
Downloads: 00060
Publication Details: Published Paper ID: IJRTI1803012
Registration ID:180052
Published In: Volume 3 Issue 3, March-2018
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ISSN Number: 2456 - 3315
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