Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Rice Yield Forecasting in West Bengal Using Hybrid Model Subject The topic of the resource ANN; ARIMA; Forecasting; Hybrid model; Rice yield Description An account of the resource 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. Creator An entity primarily responsible for making the resource Banik A.; Raju G.; Shukla S. Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems, Vol-290, pp. 222-231. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-16-4486-3_24" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-16-4486-3_24</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85115115869&amp;doi=10.1007%2F978-981-16-4486-3_24&amp;partnerID=40&amp;md5=e51033914988553141a00c6f95e0878d" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85115115869&amp;doi=10.1007%2f978-981-16-4486-3_24&amp;partnerID=40&amp;md5=e51033914988553141a00c6f95e0878d</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23673370; ISBN: 978-981164485-6 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant 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