Vol. 11, Special Issue 6 (2022)

Author(s):
Khemraj, NK Chaure, KK Pandey, UK Diwan, Bhagwat Kumar, Rajshree Shukla, Purnima Haldar and Nootesh K Thakur

Abstract:
The present study deals with the weather variable based forecasting model for rice on Chhattisgarh Plain Zone in which total nine districts and the seven weather variable are taken for under the study. The variable Z_i0 (individual unweighted), Z_i1 (individual weighted), Q_ii’0 (interaction unweighted), Q_ii’1 (interaction weighted) generated the data on weather variable with the raw data of weather variable. The data on weather variable procured from the Meteorological Observatory of Department of Agricultural Meteorology, IGKV, COA, Raipur, C.G. from 1990-2014 yield data for the same years collected from the published booklets and official website (http://agridept.cg.gov.in/index.htm) of the Directorate of Agricultural, Govt. of Chhattisgarh. The step-wise regression analysis (SRA) use for selection of most intract and significant generated weather variable from the total 57 (7 unweighted individual + 7 weighted individual + 21 unweighted interaction + 21 weighted interaction +T) variables run through step-wise regression analysis (SRA) and finally variable inter in the model. The determination of robust and best fitted model has been done by R² and percent error. The validation of the model has been done through percent error the R² for proposer model found 79%.