DAM (Department of Agriculture Marketing ) information collection system : sample data , agriculture commodity prices

This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2005.

Bibliografiske detaljer
Hovedforfatter: Rahman, Md. Mushfikur
Andre forfattere: Islam, Yousuf Mahbubul
Format: Thesis
Sprog:English
Udgivet: BRAC University 2010
Fag:
Online adgang:http://hdl.handle.net/10361/505
id 10361-505
record_format dspace
spelling 10361-5052022-01-26T10:23:15Z DAM (Department of Agriculture Marketing ) information collection system : sample data , agriculture commodity prices Rahman, Md. Mushfikur Islam, Yousuf Mahbubul Department of Computer Science and Engineering, BRAC University Computer science and engineering 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). 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. Md. Mushfikur Rahman B. Computer Science and Engineering 2010-10-14T06:14:09Z 2010-10-14T06:14:09Z 2005 2005-12 Thesis ID 01101013 http://hdl.handle.net/10361/505 en BRAC University thesis are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 70 pages application/pdf BRAC University
institution Brac University
collection Institutional Repository
language English
topic Computer science and engineering
spellingShingle Computer science and engineering
Rahman, Md. Mushfikur
DAM (Department of Agriculture Marketing ) information collection system : sample data , agriculture commodity prices
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.
author2 Islam, Yousuf Mahbubul
author_facet Islam, Yousuf Mahbubul
Rahman, Md. Mushfikur
format Thesis
author Rahman, Md. Mushfikur
author_sort Rahman, Md. Mushfikur
title DAM (Department of Agriculture Marketing ) information collection system : sample data , agriculture commodity prices
title_short DAM (Department of Agriculture Marketing ) information collection system : sample data , agriculture commodity prices
title_full DAM (Department of Agriculture Marketing ) information collection system : sample data , agriculture commodity prices
title_fullStr DAM (Department of Agriculture Marketing ) information collection system : sample data , agriculture commodity prices
title_full_unstemmed DAM (Department of Agriculture Marketing ) information collection system : sample data , agriculture commodity prices
title_sort dam (department of agriculture marketing ) information collection system : sample data , agriculture commodity prices
publisher BRAC University
publishDate 2010
url http://hdl.handle.net/10361/505
work_keys_str_mv AT rahmanmdmushfikur damdepartmentofagriculturemarketinginformationcollectionsystemsampledataagriculturecommodityprices
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