Investigating Factors that Influence Rice Yields of Bangladesh using Data Warehousing, Machine Learning, and Visualization
Автор: Fahad Ahmed, Dip Nandi, Mashiour Rahman, Khandaker Tabin Hasan
Журнал: International Journal of Modern Education and Computer Science (IJMECS) @ijmecs
Статья в выпуске: 3 vol.9, 2017 года.
Бесплатный доступ
In this paper, we have tried to identify the prominent factors of Rice production of all the three seasons of the year (Aus, Aman, and Boro) by applying K-Means clustering on climate and soil variables' data warehoused using Fact Constellation schema. For the clustering, the popular machine-learning tool Weka was used whose visualization feature was principally useful to determine the patterns, dependencies, and relationships of rice yield on different climate and soil factors of rice production.
Fact Constellation, K-Means Clustering, Visualization, Elbow Method
Короткий адрес: https://sciup.org/15014953
IDR: 15014953
Список литературы Investigating Factors that Influence Rice Yields of Bangladesh using Data Warehousing, Machine Learning, and Visualization
- Trading Economics, "Agricultural land (% of land area) in Bangladesh", Available: http://www.tradingeconomics.com/bangladesh/agricultural-land-percent-of-land-area-wb-data.html, last visited: 1st Jan 2015
- http://www.foodsecurityatlas.org/bgd/country/availability/agricultural-production, last visited: 2nd Jan 2016.
- Sergio Luján-Mor, PanosVassiliadis, and Juan Trujillo, "Data Mapping Diagrams for Data Warehouse Design with UML", last visited: 21st Jan 2016.
- Robert H. Stolt, "Seismic data mapping and reconstruction," GEOPHYSICS 2002 67:3, pp. 890-908 .
- http://www.thefinancialexpressbd.com/old/index.php?ref=MjBfMDlfMDVfMTNfMV8xXzE4MjMxMw==, last visited: 21st Jan 2016.
- http://www.statista.com/topics/1443/rice/, last visited: 7th May 2016.
- M. A. Razzaque, S. Rafiquzzaman, "Comparative Analysis of T. Aman Rice Cultivation under Different Management Practice in Coastal Area," JARD, vol. 5(1&2),pp. 64-69, June 2007.
- www.bbs.gov.bd/, last visited: 12th May, 2016.
- scn.sap.com/docs/, last visited: 12th May, 2016.
- M. H. Ali, M. G. Mostofa Amin, 'AmanGrow : A simulation model based on weather parameters for predicting transplanted Aman Rice production in Bangladesh,' Article in Indian Journal of Agricultural Sciences.
- Jayanta Kumar Basak, M. Ashraf Ali, Md. Nazrul Islam, Md. Abdur Rashid, 'Assesment of effect of climate change on boro rice production in Bangladesh using DSSAT model,' Journal of Civil Engineering(IEB), 38(2), pp. 95-108, 2010.
- Md. Ruhul Amin, Junbiao Zhang, Mingmel Yang, 'Effects of Climate Change on the yield and cropping Area of Major Food Crops: A Case of Bangladesh,' Article inSustanability Journal (7), pp. 898-915, 2015, doi:10.3390/su7010898.
- Aditya Kumar Gupta, BireshwarDassMazumdar, 'Multidimensional Schema for Agricultural Data Warehouse,' IJRET, vol.2, issue.3, March 2013.
- David B. Lobell, Marshall B. Burke,'On the use of statistical models to predict crop yield responses to climate change,' Article inElsevier AGMET, 2010.
- Abu Ahmed Mokammel Haque, HemanthaJayasuria, 'Assesment of Influential Soil Properties in Irrigated Rice Domain of Bangladesh by GIS: A Case Study,' ResearchGate, December 2007.
- Hds.essex.ac.uk/, last visited: 14th May, 2015.
- Hetal Patel, Dharmendra Patel, 'A Brief survey of Data Mining Techniques Applied to Agricultural Data', IJCA, vol.95-no.9, June 2014.
- Georg Russ, Rudolf Kyuse, 'Machine Learning Methods for Spatial Clustering on Precision Agricultural Data,' Otto-vonGuericke-Universitat Magdeburg, Germany.
- DM. Olszyk, K.T. Ingram, 'Effects of UV-B and Global Climate change on Rice Production: The EPA/IRRI Cooperative Research Plan,' International Rice Research Institute, Philippines.
- M. Charles Arockiaraj, 'Applications of Neural Networks in Data Mining,' International Journal of Engineering and Science, vol.3, issue. 1, pp. 8-11, May 2013.
- Shekhar F. Lilhare, Dr. N.G.Bawane, 'Artificial Neural Network Based Control Strategies for Paddy Drying Process,' International Journal of Information Technology and Computer Science, vol. 6, no. 11, pp. 28-35, October 2014.
- Shaikh Habiba Sultana, M. Shahjahan Ali, Mst. AshrafunaharHena, M. Muntasir Rahman, 'A Simple Model of Mapping of Land Surface Temperature from Satellite Digital Images in Bangladesh,' International Journal of Information Technology and Computer Science, vol. 5, no.1, pp. 51-57, December 2012.
- Kohei Arai, Yoshihiko Sasaki, Shihomi Kasuya, Hideto Matusura,' Appropriate Tealeaf Harvest Timing Determination Based on NIR Images,' International Journal of Information Technology and Computer Science, vol. 7, no. 7, pp. 1-7, June 2015.
- 'The Global Staple', CGIAR, available: http://ricepedia.org/rice-as-food/the-global-staple-rice-consumers, last visited : 20th July, 2016.
Статья научная
