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    •   BracU IR
    • School of Engineering and Computer Science (SECS)
    • Department of Computer Science and Engineering (CSE)
    • Thesis & Report, BSc (Computer Science and Engineering)
    • View Item
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    Krishobondhu : an automated system for diagnosis of paddy disease

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    Krishokbondhu - Thesis Paper.pdf (2.780Mb)
    Date
    2014-09
    Publisher
    BRAC University
    Author
    Rozario, Shovon Paulinus
    Metadata
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    URI
    http://hdl.handle.net/10361/3754
    Abstract
    This paper demonstrates ‘Krishokbondhu’, an automated system for the farmers to identify paddy diseases using their mobile phones. The uploaded pictures captured by the mobile phones are processed in the remote server and presented to an expert group for their opinion. Computer vision techniques are used for detection of affected spots from the image and their classification. A simple color difference based approach is followed for segmentation of the disease affected lesions. Blob detection algorithm is used for feature extraction from the segmented images where features like number of blobs in the crop, nitrogen level of the leaf, area and color values of the affected areas etc are used for classification of the diseases. Binary Search Tree is used for mapping the feature values for comparison of Euclidean distance during classification. The system allows the expert to evaluate the analysis results and provide feedbacks to the famers through a notification to their mobile phones. The mobile application has been developed for Windows Phone and the remote server application is developed using .NET framework.
    Keywords
    Computer science and engineering; Crop disease management system; Delta E; Blob detection; Euclidean distance; Binary search algorithm
     
    Description
    This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2014.
     
    Cataloged from PDF version of thesis report.
     
    Includes bibliographical references (page 43 -44).
    Department
    Department of Computer Science and Engineering, BRAC University
    Collections
    • Thesis & Report, BSc (Computer Science and Engineering)

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