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Crop Yield Forecasting Using Discriminant Function Analysis


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  • Product Description

In this study wheat crop yield forecast models have been developed using weekly data on the weather variables such as maximum temperature, minimum temperature, rainfall and morning relative humidity. Discriminant function technique has been used for developing the forecast models. Crop yield forecast models have been developed taking the discriminant scores and trend variable as regressors and crop yield as the dependent variable. Variables (weather indices) used in the discriminant function analysis were derived through different procedures. Evaluation of the performance of the models developed using the various procedures is done by comparing the Percent Deviations of forecasts from the observed yields, Percent Standard Error (PSE), Root Mean Square Deviation (RMSE) etc. Using these criteria the model which came out to be most suitable for forecasting is based on the composite discriminant function approach.

Product Specifications
SKU :COC44748
AuthorKaustav Aditya and Shrila Das
Number of Pages56
Publishing Year2012-07-04T00:00:00.000
Edition1 st
Book TypeAgriculture & farming
Country of ManufactureIndia
Product BrandLAP LAMBERT Academic Publishing
Product Packaging InfoBox
In The Box1 Piece
Product First Available On ClickOnCare.com2015-06-08 00:00:00
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