Pre -harvest forecasting models for kharif rice yield in coastal Karnataka using weather indices
DOI:
https://doi.org/10.54386/jam.v16i2.1523Keywords:
Rice, pre-harvest, yield forecasting, weather indicesAbstract
The data of kharif rice yield and the weather parameters from 1985 to 2009 is used for developing statistical models for three coastal districts of Karnataka. These pre-harvest forecasting models were developed for rice yield forecasts for Dakshin Kannada, Udupi and Uttar Kannada districts respectively. The weather indices like Z21, Z251 and Time were able to forecast the yield of rice for Udupi district. Similarly Z120, Z150 and Z241 were found to be most efficient predictors for Dakshin Kannada district. Only one variable i.e. Z451 was found to be able to forecast the rice yield in Uttar Kannada district. The validation of the model was done for a period of three years from 2010-2012. The forecasting models were able to explain the inter annual variation in the rice production to an extent of 86, 95 and 74% for Dakshin Kannada, Udupi and Uttar Kannada districts respectively. Hence these models can be used to forecast
rice yield two months before harvest.
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.