Analysis and Prediction of Suitable Model for Coconut Production Estimates in South Indian States

Author:

Gayathri S. P.,Kappil Shine Raju,Vijayalakshmi S.,Sahoo Ajeet Kumar

Publisher

Springer Nature Switzerland

Reference7 articles.

1. Brintha, N.K.K., Samita, S., Abeynayake, N.R., Idirisinghe, I.M.S.K., Kumarathunga, A.M.D.P.: Use of unobserved components model for forecasting non-stationary time series: a case of annual national coconut production in Sri Lanka. Trop. Agric. Res. 25, 523–531 (2014)

2. Lim, C.T.: Forecasting coconut production in the Philippines with the ARIMA model. In: American Institute of Physics Conference Series, pp. 86–92. February 2015. SAO/NASA Astrophysics Data System (2015)

3. Muralidharan, K., Thamban, C., Anithakumari, P., Subramanian, P., Palaniswami, C., Krishnakumar, V.: Production forecasting of coconut: variation in several bearing palms and productivity in selected districts in India. J. Plant. Crop. 41, 314–320 (2013)

4. Naveena, K., Rathod, S., Shukla, G., Yogish, K.J.: Forecasting of coconut production in India: a suitable time series model. Int. J. Agric. Eng. 7, 190–193 (2014)

5. Peiris, T.S.G., Hansen, J.W., Zubair, L.: Use of seasonal climate information to predict coconut production in Sri Lanka. Int. J. Climatol. 28, 103–110 (2008)

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