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    •   BracU IR
    • School of Data and Sciences (SDS)
    • Department of Computer Science and Engineering (CSE)
    • Thesis & Report, BSc (Computer Science and Engineering)
    • View Item
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    DAM (Department of Agriculture Marketing ) information collection system : sample data , agriculture commodity prices

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    01101013.pdf (1.010Mb)
    Date
    2005-12
    Publisher
    BRAC University
    Author
    Rahman, Md. Mushfikur
    Metadata
    Show full item record
    URI
    http://hdl.handle.net/10361/505
    Abstract
    The essential data of agriculture marketing information are price data. Government to decide on the policies on production, export, import, price support need more accurate and faster knowledge of agriculture marketing information regular basis. Marketing information plays a vital role in the functioning of the whole market, by regulating the competitive marketing process. Marketing information helps farmers make profitable decisions in the short term what price to expect and decide what to produce. Making timely and unbiased information available to the farmers help them, in bargaining with the traders for a fair price for their crops. The aim of proposed information collection system is to provide very fast, timely, reliable and up to date agriculture commodity prices collection all over the country on regular basis through mobile phone SMS service. All the information stored in the database automatically. Stakeholder can get marketing information from currently stored price data what they need through mobile phone SMS service.
    Keywords
    Computer science and engineering
    Description
    This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2005.
     
    Cataloged from PDF version of thesis report.
     
    Includes bibliographical references (page 63).
    Department
    Department of Computer Science and Engineering, BRAC University
    Collections
    • Thesis & Report, BSc (Computer Science and Engineering)

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