Districtwise wheat and rice yield predictions using meteorological variables in eastern Madhya Pradesh
DOI:
https://doi.org/10.54386/jam.v19i4.610Keywords:
Wheat,, rice,, forecast grain yield, stepwise regressionAbstract
District wise rice and wheat yield prediction equations were developed for seven districts of eastern Madhya Pradesh using weakly weather data from 1980-2009. The coefficient of determination (R2) varied between 0.4 - 0.78 for rice and 0.6 - 0.92 for wheat in different districts. Model performance was evaluated with independent reported data for year 2010 and 2011. As the deviations for both the years were less than ± 15 per cent, the models can be used for predicting the rice and wheat yields in Madhya Pradesh.
Downloads
Published
How to Cite
Issue
Section
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.