Rice Yield Forecasting in West Bengal Using Hybrid Model
- Title
- Rice Yield Forecasting in West Bengal Using Hybrid Model
- Creator
- Banik A.; Raju G.; Shukla S.
- Description
- Agriculture in India is the primary source of revenue, yet farmers still face challenges. The primary goal of agricultural development is to produce a high crop yield. The Datasets collected for the study of real-world time series include a blend of linear and nonlinear patterns. A mixture of linear and non - linear models, rather than a single linear or non - linear model, gives a more precise forecasting models for time series data. The ARIMA and ANN prediction models are combined in this paper to create a Hybrid model. This model is used to predict rice yield for all 18 West Bengal districts during the Kharif season, based on 20years of information(20002019) collected from various sources such as India Meteorological Department, Area, and production Statistics, DAV from NASA, etc. The hybrid model aims to enhance efficiency indicators such as MSE, MAE, and MAPE, demonstrating excellent performance for rice yield prediction in all the districts of West Bengal. In the future, it can be applied to other crops that can support farmers in their farming. 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
- Source
- Lecture Notes in Networks and Systems, Vol-290, pp. 222-231.
- Date
- 2021-01-01
- Publisher
- Springer Science and Business Media Deutschland GmbH
- Subject
- ANN; ARIMA; Forecasting; Hybrid model; Rice yield
- Coverage
- Banik A., Department of Data Science, Christ University, Bangalore, India; Raju G., Department of Data Science, Christ University, Bangalore, India; Shukla S., Department of Data Science, Christ University, Bangalore, India
- Rights
- Restricted Access
- Relation
- ISSN: 23673370; ISBN: 978-981164485-6
- Format
- Online
- Language
- English
- Type
- Conference paper
Collection
Citation
Banik A.; Raju G.; Shukla S., “Rice Yield Forecasting in West Bengal Using Hybrid Model,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 26, 2025, https://archives.christuniversity.in/items/show/20586.