STATISTICAL MODELS FOR PREDICTION OF AREA, PRODUCTION AND PRODUCTIVITY OF SELECTED OILSEEDS IN ANDHRA PRADESH
dc.contributor.advisor | RAMANA MURTHY, B. | |
dc.contributor.author | PRIYANKA EVANGILIN, N. | |
dc.date.accessioned | 2021-09-08T07:36:32Z | |
dc.date.available | 2021-09-08T07:36:32Z | |
dc.date.issued | 2021-09-08 | |
dc.description | STATISTICAL MODELS FOR PREDICTION OF AREA, PRODUCTION AND PRODUCTIVITY OF SELECTED OILSEEDS IN ANDHRA PRADESH | en_US |
dc.description.abstract | The Present study entitled “Statistical models for prediction of area, production and productivity of selected oilseeds in Andhra Pradesh” has been undertaken to fit different trend equations like linear, non-linear and time series models for selected oilseeds like Groundnut, Niger, Sesame and Castor and also made the future forecast up to 2022-23 AD. The study was carried out for Andhra Pradesh state using time series data from 1965-66 to 2017-18. For forecasting purpose ten linear and non-linear growth models viz., linear, logarithmic, inverse, quadratic, cubic, compound, power, s-curve, growth and exponential and time series models like ARIMA were fitted to the area, production and productivity of selected oilseed crops. The best-fitted model for future projection was chosen based upon highest coefficient of determination (R2) with least RMSE and MAPE values. The study revealed that the area, production and productivity of Groundnut marked fluctuating increasing and decreasing trend during the study period 1965-66 to 2017-18; for the forecasted period i.e. up to 2022-23 area and production showed decreasing trend, productivity increasing trend . In Niger there was decreasing trend in area and production whereas productivity showed an increasing trend; the forecasts exhibited an increasing trend in area and production, slightly increasing trend in productivity. The Sesame crop revealed that area and production marked decreasing trend but productivity slightly fluctuating increasing and decreasing trend; forecasts of area, production and productivity depict increasing trend. Whereas Castor crop area and productivity showed decreasing trend and production showed fluctuating increasingand decreasing trend during the study period; forecasts exhibited that area as decreasing trend but production and productivity increasing trend. | en_US |
dc.identifier.uri | https://krishikosh.egranth.ac.in/handle/1/5810175368 | |
dc.keywords | STATISTICAL MODELS, PREDICTION OF AREA, PRODUCTION,PRODUCTIVITY , OILSEEDS | en_US |
dc.language.iso | English | en_US |
dc.pages | 109 | en_US |
dc.publisher | Acharya N.G. Ranga Agricultural University, Guntur | en_US |
dc.sub | Agricultural Statistics and Informatics | en_US |
dc.theme | STATISTICAL MODELS FOR PREDICTION OF AREA, PRODUCTION AND PRODUCTIVITY OF SELECTED OILSEEDS IN ANDHRA PRADESH | en_US |
dc.these.type | M.Sc | en_US |
dc.title | STATISTICAL MODELS FOR PREDICTION OF AREA, PRODUCTION AND PRODUCTIVITY OF SELECTED OILSEEDS IN ANDHRA PRADESH | en_US |
dc.type | Thesis | en_US |
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