African Journal of ICT, Innovation and Society | 02 December 2000
IoT Sensors in Precision Farming: Adoption Trends in Zimbabwe's Commercial Agriculture
C, h, i, s, o, m, o, M, o, y, o
Abstract
Precision farming utilizes IoT (Internet of Things) sensors to monitor soil moisture, temperature, and other environmental factors at various points across a farm. In Zimbabwe's commercial agriculture sector, there is increasing interest in adopting such technologies for better crop yields and resource management. A mixed-methods approach was employed, combining quantitative data from surveys with qualitative insights from interviews. Data were collected from a representative sample of farms across different regions in Zimbabwe. The survey revealed that approximately 35% of surveyed farmers have implemented IoT sensors for monitoring soil moisture and temperature, with significant variation by region and farm size. While the overall adoption rate is moderate, there are notable differences among regions and farms based on their resources and technological infrastructure. Incentive programmes should be designed to encourage smallholder farmers in less developed areas to adopt IoT sensors for precision farming. Model estimation used $\hat{\theta}=argmin<em>{\theta}\sum</em>i\ell(y<em>i,f</em>\theta(x<em>i))+\lambda\lVert\theta\rVert</em>2^2$, with performance evaluated using out-of-sample error.