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http://krishi.icar.gov.in/jspui/handle/123456789/42332
Title: | Forecasting of rice yield based on weather parameters in Kheda District of Gujarat, India |
Other Titles: | Not Available |
Authors: | S. Kour M.S.Shitap U.K. Pradhan P.R. Vaishnav R.K.Paul P.Arya A. Kumar |
ICAR Data Use Licennce: | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf |
Author's Affiliated institute: | Anand Agricultural University Junagarh Agricultural University ICAR::Indian Agricultural Statistics Research Institute |
Published/ Complete Date: | 2018-08-21 |
Project Code: | Not Available |
Keywords: | ARIMAX model Forecasting Weather variables Rice yield |
Publisher: | International Journal of Agricultural and Statistical Sciences |
Citation: | Kour, S., Shitap, M. S., Pradhan, U. K., Paul, R. K., Arya, P. and Kumar, A. (2018). Forecasting of Rice Yield Based on Weather Parameters in Kheda District of Gujarat, India. International Journal of Agricultural and Statistics Sciences, 14(2): 611-615 |
Series/Report no.: | Not Available; |
Abstract/Description: | The present study was undertaken to investigate the feasibility of estimating the yield of rice based on combinedeffects of weather parameters and technological advancement, using past weather records for Kheda district of middleGujarat state. To this end, Autoregressive Integrated Moving Average with Exogenous variables (ARIMAX) time-seriesmodel along with its estimation procedure is studied. In the present investigation, two models at tillering stage of rice growthare developed by including the most important weather variables. As an illustration, ARIMAX models are employed forforecasting of rice yield in kheda district of Gujarat. Comparative study of the fitted models is carried out from the viewpointof Relative mean absolute prediction error (RMAPE) Mean absolute deviation (MAD) and root mean square error (RMSE)values. |
Description: | Not Available |
ISSN: | SSN : 0973-1903 |
Type(s) of content: | Research Paper |
Sponsors: | Not Available |
Language: | English |
Name of Journal: | International Journal of Agricultural and Statistical Sciences |
NAAS Rating: | 4.92 |
Volume No.: | 14(2) |
Page Number: | 611-615 |
Name of the Division/Regional Station: | Statistical Genetics |
Source, DOI or any other URL: | Not Available |
URI: | http://krishi.icar.gov.in/jspui/handle/123456789/42332 |
Appears in Collections: | AEdu-IASRI-Publication |
Files in This Item:
File | Description | Size | Format | |
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611-615__1629_.pdf | 336.87 kB | Adobe PDF | View/Open |
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