Replication study confirms effective soil moisture monitoring using IoT sensors in maize farms, suggesting improved agricultural outcomes.
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 θ̂=argminθ∑ᵢ(yᵢ,f_θ(xᵢ))+λθ₂², with performance evaluated using out-of-sample error.
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Ngwenya et al. (2003) studied this question.
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