Abstract
Rice production assumes the most noteworthy part in national economy of Bangladesh. But due to several weather circumstances, rice production is being influenced day by day. In this research work, present a sustainable rice production analysis and forecasting rice yield for Aus, Aman and Boro rice based on weather circumstances. This paper aims to forecast rice production on the basis of weather parameters (Temperature, Rainfall, Humidity) and then predict future rice production based on previous data analysis. This research work has considered here Multiple Linear Regression, Support Vector Machine and Random Forest methods of data mining for selected region of Bangladesh. On the basis of the final calculating result, the analysis will help the farmers to understand which types of rice will be planted in which weather and it will help to achieve greater profit in the economy of Bangladesh.
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© 2020 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Rahman, M.M., Jahan, T., Nasrin, T., Akter, S., Sultana, Z. (2020). Sustainable Rice Production Analysis and Forecasting Rice Yield Based on Weather Circumstances Using Data Mining Techniques for Bangladesh. In: Bhuiyan, T., Rahman, M.M., Ali, M.A. (eds) Cyber Security and Computer Science. ICONCS 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 325. Springer, Cham. https://doi.org/10.1007/978-3-030-52856-0_17
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DOI: https://doi.org/10.1007/978-3-030-52856-0_17
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