Open AccessYield forecasting of wheat and mustard for western Uttar Pradesh using statistical model
Author(s) -
Saurabh Gupta,
Ajit Singh,
Ashok Kumar,
U. P. Shahi,
Nishant K. Sinha,
Sumana Roy
Publication year - 2018
Publication title -
journal of agrometeorology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.295
H-Index - 11
eISSN - 2583-2980
pISSN - 0972-1665
DOI - 10.54386/jam.v20i1.508
Subject(s) - uttar pradesh , yield (engineering) , mathematics , crop , agronomy , crop yield , toxicology , statistics , environmental science , biology , materials science , socioeconomics , sociology , metallurgy
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.