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The aim is to evaluate 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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The aim is to evaluate the impact of data-driven weather forecasting on crop yields in South African farming.
Mixed-methods approach including surveys and interviews with farmers
Statistical analysis using regression models
Data analysis from meteorological stations and agricultural records
Significant positive correlation (R^2 = 0.75, p < 0.01) between weather forecasting applications and crop yield variability
Indicates substantial benefits in precision agriculture through improved planting strategies

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Mixed-methods analysis shows weather forecasting improves crop yields in South Africa, suggesting benefits for precision agriculture.

Khumalo et al. (2013) studied this question.

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