What type of study is this?

This is a Quantitative Study study.

Wheat Yield Prediction Based on Regression Model for Prayagraj Region, Uttar Pradesh, India

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This observational analysis examines the impact of weather factors on wheat yield, suggesting a regression model for improved agricultural planning.

Accurate crop yield prediction can significantly enhance agricultural productivity and decision-making.
The study analyzed data from 1997 to 2022, focusing on wheat yield and weather factors in the Prayagraj region.
Stepwise linear regression was employed to create multivariate meteorological yield models incorporating various weather parameters.
The models were validated using statistical measures like the coefficient of determination (R2) and RMSE.

Maurya et al. (2025) studied this question.

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This observational analysis examines the impact of weather factors on wheat yield, suggesting a regression model for improved agricultural planning.