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Start
Data Collection:


• Historical area, yield, production data

• Agrometeorological variables

• Market/policy factors

Data Pre-processing & Quality Check:


• Data cleaning

• Handle missing/outliers

• Remove biased data

Model Development:


• Econometric modelling (Regression)

• LS/SURE method of estimation

• Select explanatory variables & Estimate parameters

Model Validation:


• Assess model fit (adj-R2, RMSE, VIF, DF test)

• Residual analysis

• Refine if needed

Forecast Generation:


• Predict Area & Yield

• Predict Production (Area × Yield)

Forecast Evaluation:


• Compare with past forecasts

• Finalize estimates

End

hi

by raj

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