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 Faculty Publications Book Chapter Faculty Publications- Book Chapter 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/. Creator An entity primarily responsible for making the resource Shanavas, P.H.; Anjali, P.K.; Mufeeda, E. Title A name given to the resource Export Rhythms in Indian Agriculture: Trend and Seasonal Decomposition of Indian Cereal Products Exports Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2026 Source A related resource from which the described resource is derived Studies in Systems, Decision and Control;Volume;646;pp.479-494 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-3-032-11612-3_41" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-032-11612-3_41</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105038014103?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105038014103?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Shanavas P.H., KMM Govt. Womens College Kannur, Kerala, Puzhathi, India; Anjali P.K., Christ University, Karnataka, Bengaluru, India; Mufeeda E., KMM Govt. Womens College Kannur, Kerala, Puzhathi, India Description An account of the resource This study investigates the long-term trends and seasonal dynamics of Indias cereal exports specifically Basmati rice, non-Basmati rice, other cereals, and wheat using trend modelling and decomposition techniques. Drawing on monthly export data from April 2006 to November 2024 (with wheat data beginning in 2013), linear, log-linear, and quadratic trend models were estimated alongside additive, multiplicative, and STL (Seasonal-Trend decomposition using Loess) seasonal models. Results indicate strong linear and exponential growth in Basmati and non-Basmati rice exports, wheat exports exhibited no statistically significant trend and displayed high volatility. Durbin-Watson statistics revealed serial autocorrelation in most models, highlighting the importance of incorporating seasonality and external shocks in trend analysis. Additive decomposition reveals pronounced seasonal effects in Basmati rice exports, STL analysis confirms these patterns. Wheat shows moderate seasonal strength, while non-Basmati rice and other cereals exhibit mild seasonality. These findings underscore the necessity of commodity-specific export strategies aligned with harvest cycles and global demand windows. The Author(s), under exclusive license to Springer Nature Switzerland AG 2026. Subject The topic of the resource Cereal exports; Seasonal decomposition; Seasonal strength; STL decomposition; Time series analysis; Trend modelling Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Relation A related resource ISSN: 21984182; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online