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Please use this identifier to cite or link to this item:
http://krishi.icar.gov.in/jspui/handle/123456789/42332
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | S. Kour | en_US |
dc.contributor.author | M.S.Shitap | en_US |
dc.contributor.author | U.K. Pradhan | en_US |
dc.contributor.author | P.R. Vaishnav | en_US |
dc.contributor.author | R.K.Paul | en_US |
dc.contributor.author | P.Arya | en_US |
dc.contributor.author | A. Kumar | en_US |
dc.date.accessioned | 2020-11-17T05:04:18Z | - |
dc.date.available | 2020-11-17T05:04:18Z | - |
dc.date.issued | 2018-08-21 | - |
dc.identifier.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 | en_US |
dc.identifier.issn | SSN : 0973-1903 | - |
dc.identifier.uri | http://krishi.icar.gov.in/jspui/handle/123456789/42332 | - |
dc.description | Not Available | en_US |
dc.description.abstract | 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. | en_US |
dc.description.sponsorship | Not Available | en_US |
dc.language.iso | English | en_US |
dc.publisher | International Journal of Agricultural and Statistical Sciences | en_US |
dc.relation.ispartofseries | Not Available; | - |
dc.subject | ARIMAX model | en_US |
dc.subject | Forecasting | en_US |
dc.subject | Weather variables | en_US |
dc.subject | Rice yield | en_US |
dc.title | Forecasting of rice yield based on weather parameters in Kheda District of Gujarat, India | en_US |
dc.title.alternative | Not Available | en_US |
dc.type | Research Paper | en_US |
dc.publication.projectcode | Not Available | en_US |
dc.publication.journalname | International Journal of Agricultural and Statistical Sciences | en_US |
dc.publication.volumeno | 14(2) | en_US |
dc.publication.pagenumber | 611-615 | en_US |
dc.publication.divisionUnit | Statistical Genetics | en_US |
dc.publication.sourceUrl | Not Available | en_US |
dc.publication.authorAffiliation | Anand Agricultural University | en_US |
dc.publication.authorAffiliation | Junagarh Agricultural University | en_US |
dc.publication.authorAffiliation | ICAR::Indian Agricultural Statistics Research Institute | en_US |
dc.ICARdataUseLicence | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf | en_US |
dc.publication.naasrating | 4.92 | - |
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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