Weather based rice yield prediction models for Karnal District of Haryana

dc.contributor.advisorAneja, D.R.
dc.contributor.authorDeepankar
dc.date.accessioned2018-06-14T05:58:07Z
dc.date.available2018-06-14T05:58:07Z
dc.date.issued2017
dc.description.abstractThe study carried out for Karnal district of Haryana was based on historical data for a period of 35 years (1980-81 to 2015-16). Rice yield data were collected from Statistical Abstract of Haryana and daily weather data were obtained from Central Soil Salinity Research Insitute (CSSRI), Karnal. Stepwise multiple regression technique has been applied for period 1981-82 to 2012-13 with yield as dependent variable and weather indices (artificial variables generated from weekly & fortnightly weather values) as independent variables. Another three years data (2013-14 to 2015-16) have been used for the validation of the models. The models based on maximum temperature (22 & 24 weeks) and no. of rainy days (22 & 24 weeks) are comparable with each other on the basis of adjusted R2, therefore on the basis of root mean square error the model based on no. of rainy days (24 weeks) having lowest RMSE (219.14) is chosen among all models based on individual weather variables. The actual forecasts using model based on no. of rainy days (24 weeks) for 2013-14 to 2015-16 years were 3207.11 kg/ha, 3318.09 kg/ha and 3322.61 kg/ha, respectively. The model based on joint effect of maximum temperature and relative humidity morning (22 weeks) forecasts rice yield were very close to the actual yields (per cent relative deviation ranging from 1.15 % to 7.6 %. The actual forecasts using maximum temperature and relative humidity morning for 2013-14 to 2015-16 years were, 3244 kg/ha, 3168.03 kg/ha and 3215.34 kg/ha, respectively.en_US
dc.identifier.urihttp://krishikosh.egranth.ac.in/handle/1/5810052783
dc.keywordsMultiple Linear Regression, Coefficient of determination, Forecasting, Standard Error, Root Mean Square Error.en_US
dc.language.isoenen_US
dc.publisherCCSHAUen_US
dc.subStatisticsen_US
dc.subjectnullen_US
dc.themeWeather based rice yield prediction models for Karnal District of Haryanaen_US
dc.these.typeM.Scen_US
dc.titleWeather based rice yield prediction models for Karnal District of Haryanaen_US
dc.typeThesisen_US
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