Agricultural yield and profit prediction using data analysis techniques
This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018.
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2019
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| גישה מקוונת: | http://hdl.handle.net/10361/11449 |
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10361-11449 |
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10361-114492022-01-26T10:04:58Z Agricultural yield and profit prediction using data analysis techniques Hassan, Fazal Mahmud Zakir, Shamma Binta Binta, Anik Shamma Hossain, Syed Maruf Arif, Hossain Department of Computer Science and Engineering, BRAC University Agricultural production Agricultural yield prediction Data analysis Agriculture--Bangladesh. Agriculture--Data processing. This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018. Cataloged from PDF version of thesis. Includes bibliographical references (pages 45-46). This research proposes a model that will enable us to predict the agricultural outcome of a country. The prediction will include the agricultural yield for the upcoming years as well as predict the profit margin for particular crops. Although some researches have been done in this field but most of those are in Bangladesh perspective. In our country, being the oldest form of raising economy, agriculture is a field that has not yet been blessed by modern technology or data analysis. This prediction is made by analyzing the dataset of certain vital parameters for rice production, such as Temperature, Humidity, Sunshine and Area using different Regression Analysis and Support Vector Machine (SVM) techniques. The dataset containing the history of Rice Production, Price Diversity and Fertilizer Usage, taken from the yearbook of Bangladesh Agricultural Development Corporation (BADC), Bangladesh Rice Research Institute (BRRI), Ministry of Agriculture (Bangladesh) and by some primary data collection from Gazipur and Pabna, is also analyzed to calculate the profit per year along with comparing the accuracy of the prediction. This proposed model aims to pave the way for data science to touch the sector that keeps our economy running aiming to maximize the production of crops which will result in more profit for the farmers as well as contribute to the economy with the ancient form of revenue collection. Fazal Mahmud Hassan Shamma Binta Zakir Anik Shamma Binta Syed Maruf Hossain B. Computer Science and Engineering 2019-02-24T06:50:10Z 2019-02-24T06:50:10Z 2018 2018-12 Thesis ID 14301007 ID 14301092 ID 14301002 ID 13301107 http://hdl.handle.net/10361/11449 en BRAC University theses 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. 46 pages application/pdf |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
Agricultural production Agricultural yield prediction Data analysis Agriculture--Bangladesh. Agriculture--Data processing. |
| spellingShingle |
Agricultural production Agricultural yield prediction Data analysis Agriculture--Bangladesh. Agriculture--Data processing. Hassan, Fazal Mahmud Zakir, Shamma Binta Binta, Anik Shamma Hossain, Syed Maruf Agricultural yield and profit prediction using data analysis techniques |
| description |
This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018. |
| author2 |
Arif, Hossain |
| author_facet |
Arif, Hossain Hassan, Fazal Mahmud Zakir, Shamma Binta Binta, Anik Shamma Hossain, Syed Maruf |
| format |
Thesis |
| author |
Hassan, Fazal Mahmud Zakir, Shamma Binta Binta, Anik Shamma Hossain, Syed Maruf |
| author_sort |
Hassan, Fazal Mahmud |
| title |
Agricultural yield and profit prediction using data analysis techniques |
| title_short |
Agricultural yield and profit prediction using data analysis techniques |
| title_full |
Agricultural yield and profit prediction using data analysis techniques |
| title_fullStr |
Agricultural yield and profit prediction using data analysis techniques |
| title_full_unstemmed |
Agricultural yield and profit prediction using data analysis techniques |
| title_sort |
agricultural yield and profit prediction using data analysis techniques |
| publishDate |
2019 |
| url |
http://hdl.handle.net/10361/11449 |
| work_keys_str_mv |
AT hassanfazalmahmud agriculturalyieldandprofitpredictionusingdataanalysistechniques AT zakirshammabinta agriculturalyieldandprofitpredictionusingdataanalysistechniques AT bintaanikshamma agriculturalyieldandprofitpredictionusingdataanalysistechniques AT hossainsyedmaruf agriculturalyieldandprofitpredictionusingdataanalysistechniques |
| _version_ |
1814307119190507520 |