Open AccessForecasting of Kharif Rice and Jute Yield in North Bengal through Statistical Model
Author(s) -
Kousik Nandi,
Anwesh Rai,
Soumen Mondal,
S Bandyopadhyay,
Deb Sankar Gupta
Publication year - 2021
Publication title -
international journal of environment and climate change
Language(s) - English
Resource type - Journals
ISSN - 2581-8627
DOI - 10.9734/ijecc/2021/v11i230362
Subject(s) - kharif crop , yield (engineering) , mathematics , crop , crop yield , uttar pradesh , statistics , toxicology , agronomy , biology , socioeconomics , field experiment , economics , materials science , metallurgy
Crop yield forecasting under the present climate change scenario needs an effective model and its parameter that how crop respond to the weather variable. A number of weather based models have been developed to estimate the crop yield for the various crops at block, district and state level. Among the different model statistical model is more popular and commonly used. The current study was undertaken to evaluate the performance of statistical model for rice and jute yield forecast of four different district viz. Cooch Behar, Jalpaiguri, Uttar Dinajpurand and Dakhin Dinajpur. Among the four districts Cooch Behar district found superior for kharif rice yield prediction (1.46% error with RMSE 177.68 kg/ha) whereas in case of jute crop its performance was the best in the Jalpaiguri district (-0.44% error with RMSE 217.50 kg/ha).