Forecasting of pre-harvest crop yield using discriminant function analysis of meteorological parameters

Authors

  • B.V.S. SISODIA Department of Agricultural Statistics, Narendra Deva University of Agriculture and Technology, Kumarganj, Faizabad-224 229 (U.P.)
  • R. R. YADAV Department of Agricultural Statistics, Narendra Deva University of Agriculture and Technology, Kumarganj, Faizabad-224 229 (U.P.)
  • SUNIL KUMAR Department of Agricultural Statistics, Narendra Deva University of Agriculture and Technology, Kumarganj, Faizabad-224 229 (U.P.)
  • M. K. SHARMA Department of Agricultural Statistics, Narendra Deva University of Agriculture and Technology, Kumarganj, Faizabad-224 229 (U.P.)

DOI:

https://doi.org/10.54386/jam.v16i1.1496

Keywords:

Meteorological parameters, Crop yield, Discriminant function analysis, Forecast model

Abstract

In the present paper, an application of discriminant function analysis of meteorological parameters for developing suitable statistical models to forecast wheat yield in Faizabad district of Eastern Utter Pradesh has been demonstrated. Time series data on wheat yield for 20 years (1990-91 to 2009-10) have been divided into three groups, viz. congenial, normal, and adverse based on de-trended yield distribution. Considering these groups as three populations, discriminant function analysis using weekly data of crop season on five meteorological parameters has been carried out. The discriminant scores obtained from this have been used as regressor variables along with time trend in development of statistical models. In all six procedures using weekly weather data have been proposed. The models developed have been used to forecast the wheat yield for the year 2008-09 and 2009-10 which were not included in the development of the models. It has been found that most of the models provide reliable forecast of the wheat yield about two months before the harvest. However, the model-5 has been found to be the most suitable among all the models developed.

Downloads

Published

16-02-2022

How to Cite

B.V.S. SISODIA, R. R. YADAV, SUNIL KUMAR, & M. K. SHARMA. (2022). Forecasting of pre-harvest crop yield using discriminant function analysis of meteorological parameters. Journal of Agrometeorology, 16(1), 121–125. https://doi.org/10.54386/jam.v16i1.1496

Issue

Vol. 16 No. 1 (2014): June

Section

Research Paper

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

This is a human-readable summary of (and not a substitute for) the license. Disclaimer.

You are free to:

Share — copy and redistribute the material in any medium or format

Adapt — remix, transform, and build upon the material

The licensor cannot revoke these freedoms as long as you follow the license terms.

    Under the following terms:

    Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.

    NonCommercial — You may not use the material for commercial purposes.

    ShareAlike — If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original.

    No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.

    Notices:

    You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation.

    No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.

    Most read articles by the same author(s)

    1 2 > >>