What question did this study set out to answer?

To explore the impact of data-driven weather forecasting on crop yields in South African farming.

March 15, 2026Open Access

Data-Driven Weather Forecasting in South African Farming: Impacts on Crop Yields

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Mixed-methods analysis reveals weather forecasting enhances crop yields in South Africa, suggesting improved precision agriculture.

To explore the impact of data-driven weather forecasting on crop yields in South African farming.
Mixed-methods approach involving surveys and interviews with farmers
Statistical analysis of data from meteorological stations and agricultural records
Regression models used to quantify effects
Significant positive correlation (R² = 0.75, p < 0.01) between weather forecasting applications and crop yield variability
Advancements in precision agriculture were observed due to forecasting utilization
Support for developing weather forecasting technologies in rural areas is recommended.

Khumalo et al. (2013) studied this question.

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