Intelligent agricultural information monitoring using data mining techniques
Cataloged from PDF version of thesis report.
| Main Authors: | , , |
|---|---|
| Other Authors: | |
| Format: | Thesis |
| Language: | English |
| Published: |
BRAC University
2017
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/10361/8198 |
| id |
10361-8198 |
|---|---|
| record_format |
dspace |
| spelling |
10361-81982022-01-26T10:08:14Z Intelligent agricultural information monitoring using data mining techniques Shakoor, Md. Tahmid Rahman, Karishma Rayta, Sumaiya Nasrin Chakrabarty, Dr. Amitabha Department of Computer Science and Engineering, BRAC University Agricultural information Data mining techniques Cataloged from PDF version of thesis report. Includes bibliographical references (page 53-54). This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2017. Farmers usually select crops for cultivation based on their previous experiences, the better the profit margin of a crop achieved in the past, probability of choosing that crop increases. However, the lack of information about scientific factors that can affect the output and precise knowledge about cultivation, they end up cultivating crops that do not meet the desired profit margin. To help the farmers take decisions that can make their farming more efficient and profitable, this research tries to establish an intelligent information prediction analysis on farming in Bangladesh. Also, it provides an interface to this analysis for the farmers through an android app which also provides necessary information on cultivation procedure, irrigation and fertilization process. The research suggests area based beneficial crop rank before the cultivation process. It indicates the crops that are cost effective for cultivation for a particular area of land. To achieve these results, we are considering six major crops which are Aus, Aman, Boro rice, Potato, Jute and Wheat. The prediction is based on analyzing a static set of data using Supervised Machine Learning techniques. This static data set contains previous years’ data taken from the Yearbook of Agricultural Statistics and Bangladesh Agricultural Research Council of those crops according to the area. The research intents to do a comparative analysis on Decision Tree Learning, K-Nearest Neighbors and Multiple Linear Regression algorithms to obtain these predictions. The past ten years (20042013) of Bangladesh have been considered making this data set to ensure learning and training of the algorithms and increasing the accuracy rate of the prediction and for testing we used three years (2014-2015) for computing accuracy. Md. Tahmid Shakoor Karishma Rahman Sumaiya Nssrin Rayta B. Computer Science and Engineering 2017-05-29T05:49:52Z 2017-05-29T05:49:52Z 2017 4/18/2017 Thesis ID 13101046 ID 13101284 ID 13141004 http://hdl.handle.net/10361/8198 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. 54 pages application/pdf BRAC University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
Agricultural information Data mining techniques |
| spellingShingle |
Agricultural information Data mining techniques Shakoor, Md. Tahmid Rahman, Karishma Rayta, Sumaiya Nasrin Intelligent agricultural information monitoring using data mining techniques |
| description |
Cataloged from PDF version of thesis report. |
| author2 |
Chakrabarty, Dr. Amitabha |
| author_facet |
Chakrabarty, Dr. Amitabha Shakoor, Md. Tahmid Rahman, Karishma Rayta, Sumaiya Nasrin |
| format |
Thesis |
| author |
Shakoor, Md. Tahmid Rahman, Karishma Rayta, Sumaiya Nasrin |
| author_sort |
Shakoor, Md. Tahmid |
| title |
Intelligent agricultural information monitoring using data mining techniques |
| title_short |
Intelligent agricultural information monitoring using data mining techniques |
| title_full |
Intelligent agricultural information monitoring using data mining techniques |
| title_fullStr |
Intelligent agricultural information monitoring using data mining techniques |
| title_full_unstemmed |
Intelligent agricultural information monitoring using data mining techniques |
| title_sort |
intelligent agricultural information monitoring using data mining techniques |
| publisher |
BRAC University |
| publishDate |
2017 |
| url |
http://hdl.handle.net/10361/8198 |
| work_keys_str_mv |
AT shakoormdtahmid intelligentagriculturalinformationmonitoringusingdataminingtechniques AT rahmankarishma intelligentagriculturalinformationmonitoringusingdataminingtechniques AT raytasumaiyanasrin intelligentagriculturalinformationmonitoringusingdataminingtechniques |
| _version_ |
1814307328428605440 |