Yield forecasting of wheat and mustard for western Uttar Pradesh using statistical model

Authors

  • SMITA GUPTA Sardar Vallabhbhai Patel University of Agriculture & technology Modipuram(UP)-250110
  • AJIT SINGH Sardar Vallabhbhai Patel University of Agriculture & technology Modipuram(UP)-250110
  • ASHOK KUMAR Sardar Vallabhbhai Patel University of Agriculture & technology Modipuram(UP)-250110
  • U.P.SHAHI Sardar Vallabhbhai Patel University of Agriculture & technology Modipuram(UP)-250110
  • NISHANT K SINHA Division of Soil Physics, ICAR-Indian Institute of Soil Science, Bhopal(MP)-462038
  • SUMANA ROY Department of Agrometeorology, College of Agriculture, GBPUA&T, Pantnagar-263145

DOI:

https://doi.org/10.54386/jam.v20i1.508

Keywords:

Forecast,, wheat,, mustard,, validate model

Abstract

Twenty one years (1992-2013) of weather data and yield data of wheat and mustard for 10 districts of western Uttar Pradesh were used to develop yield prediction model. The models were validated with 2014 and 2015 data set. The results revealed that pre harvest forecasting model had R2 values ranging between 22 and 81 per cent for wheat crop and between 26 and 87 per cent for mustard in the different districts. During both the years of validation the observed yields were in good agreement with forecasted yields for wheat as well as mustard. 

Downloads

Published

01-03-2018

How to Cite

SMITA GUPTA, AJIT SINGH, ASHOK KUMAR, U.P.SHAHI, NISHANT K SINHA, & SUMANA ROY. (2018). Yield forecasting of wheat and mustard for western Uttar Pradesh using statistical model. Journal of Agrometeorology, 20(1), 66–68. https://doi.org/10.54386/jam.v20i1.508

Issue

Vol. 20 No. 1 (2018): March

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)