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Forecasting of wheat (Triticum aestivum) yield using ordinal logistic regression

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Title Forecasting of wheat (Triticum aestivum) yield using ordinal logistic regression
Not Available
 
Creator Vandita Kumari
Amrender Kumar
 
Subject Ordinal logistic regression
Wheat yield forecast
 
Description Not Available
In this study, uses of ordinal logistic model based on weather data has been attempted for forecasting wheat
(Triticum aestivum L.) yield in Kanpur district of Uttar Pradesh. Weekly weather data (1971-72 to 2009-10) on
maximum temperature, minimum temperature, morning relative humidity, evening relative humidity and rainfall for
16 weeks of the crop cultivation along with the yield data of wheat crop have been considered in the study. Crop years
were divided into two and three groups based on the detrended yield. Yield forecast models have been developed
using probabilities obtained through ordinal logistic regression along with year as regressors for different weeks.
Data from 1971-72 to 2006-07 have been utilized for model fitting and subsequent three years (2007-08 to 2009-10)
were used for the validation of the model. Evaluation of the performance of the models developed at different weeks
has been done by Adj R2, PRESS (Predicted error sums of squares) and number of misclassifications. Evaluation of
the forecasts were done by RMSE (Root mean square error) and MAPE (Mean absolute percentage error) of forecast.
Not Available
 
Date 2017-09-21T10:45:30Z
2017-09-21T10:45:30Z
2014-06-01
 
Type Research Paper
 
Identifier Not Available
Not Available
http://krishi.icar.gov.in/jspui/handle/123456789/5302
 
Language English
 
Relation Not Available;
 
Publisher Indian Journal of Agricultural Sciences