Forecasting of Early Maturing Pigeonpea (Cajanus cajan) Yield for Central Zone (CZ) of India

Authors

  • Prity Kumari Section of Agricultural Statistics, Department of Farm Engineering, Institute of Agricultural Sciences, Banaras Hindu University, Varanasi-221005, India.
  • G. C. Mishra Section of Agricultural Statistics, Department of Farm Engineering, Institute of Agricultural Sciences, Banaras Hindu University, Varanasi-221005, India.
  • C. P. Srivastava Department of Entomology and Agricultural Zoology Institute of Agricultural Sciences, Banaras Hindu University Varanasi-221005, India.

DOI:

https://doi.org/10.9734/bpi/ctas/v5/5004F

Keywords:

Early maturing pigeonpea yield, neural network, exponential smoothing model, autoregressive integrated moving average model

Abstract

Present study was conducted to provide a better forecast for yield of early maturing pigeonpea grown in central zone of India, by using Autoregressive Integrated Moving Average, Exponential smoothing and Neural network (NN) model. The developed model performance were assessed with the help of different selection measure criteria and the model having minimum value of thesecriteria considered as the best forecasting model. Based on findings, neural network was found to be more suitable for predicting pigeonpea yield as compared to two other models.

Published

2021-12-28

How to Cite

Prity Kumari, G. C. Mishra, & C. P. Srivastava. (2021). Forecasting of Early Maturing Pigeonpea (Cajanus cajan) Yield for Central Zone (CZ) of India. Current Topics in Agricultural Sciences Vol. 5, 134–139. https://doi.org/10.9734/bpi/ctas/v5/5004F

Issue

Current Topics in Agricultural Sciences Vol. 5

Section

Chapters