This study builds on previous research conducted in Zimbabwe from to, focusing on the deployment and adoption of Internet of Things (IoT) sensors for monitoring soil moisture levels in maize farms. A replication study design was employed, mirroring the original methodology. Sensors were installed across selected maize fields, with data collected over a period to evaluate sensor performance and its influence on soil moisture levels. The sensors demonstrated an accuracy rate of 95% in measuring soil moisture accurately within ±2%, indicating high precision in their functionality. The replication study confirms the effectiveness of IoT sensors for monitoring soil moisture, aligning with previous research findings but providing a contemporary validation and additional data points. Given the positive outcomes, there is a recommendation to integrate these sensors into agricultural management practices as a standard tool for enhancing crop yields and sustainability. Model estimation used =argmin_ᵢ (yᵢ, f_ (xᵢ) ) +₂², with performance evaluated using out-of-sample error.
Ngwenya et al. (Mon,) studied this question.
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