Author:
MAREENA THOMAS* and PRIYA P MENON
Abstract
The study was undertaken to identify a model for forecasting the price of small cardamom using the data consisting of prices from January 2001 to December 2021 obtained from Spices Board, Government of India, Ministry of Commerce and Industry,New Delhi. Seasonal Autoregressive Integrated Moving Average (SARIMA) model was used to forecast the future monthly prices. The SARIMA model, ARIMA (1,1,0)(1,1,1)[12] was identified to be the best model for forecasting the monthly cardamom price according to the minimal Bayesian Information Criterion.
Publisher
Acharya N.G. Ranga Agricultural University
Reference7 articles.
1. B, Harini., Mohanamani, P and Rajini, S. 2018. Price forecasting of cardamom (large) using ARIMA model. International Journal of Pure and Applied Mathematics. 119 (17):2537-2546.
2. Dwivedi, N. 2017. Application of SARIMA model in cardamom (large) price forecast in gangtok market. International Journal of Management and Applied Science. 3 (6):13-19.
3. Golbon, R., Ogutu, J.O., Cotter, M and Sauerborn, J. 2015. Rubber yield prediction by meteorological conditions using mixed models and multi-model inference techniques. International Journal of Biometeorology. 59 :1747-1759.
4. Martin, P.J and Riley, J. 1989. Indirect method for estimating clove tree yields. Tropical Agriculture. 66 (4):361-364.
5. Prakash, P., Jaganathan, D., Immanuel, S., Lama, A., Sreekumar, J and Sivakumar, P.S. 2022. Forecasting of sweet potato (Ipomoea batatas L.) Prices in India. Indian Journal of Extension Education. 58 (2):15-20.