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Article . 2013
License: CC BY
Data sources: Datacite
ZENODO
Article . 2013
License: CC BY
Data sources: Datacite
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IoT Enabled Water Management Systems in Sustainable Agriculture Practices: A Comparative Analysis in Rural Kenyan Communities

Authors: Mutua, Odhiambo;

IoT Enabled Water Management Systems in Sustainable Agriculture Practices: A Comparative Analysis in Rural Kenyan Communities

Abstract

IoT enabled water management systems are increasingly being adopted in agriculture to enhance efficiency and sustainability. The research employed a mixed-methods approach combining quantitative data from IoT sensor readings with qualitative interviews to evaluate system performance and user perceptions. A significant proportion (60%) of participants reported improved water usage efficiency, resulting in a 15% reduction in irrigation water loss compared to traditional methods. The study suggests that IoT-enabled systems can significantly enhance sustainable agricultural practices by optimising resource use and reducing environmental impact. Communities should be provided with training on system maintenance and usage to maximise benefits, while policymakers could incentivize the adoption of these technologies through subsidies or grants. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.

Keywords

African Geography, Rural Communities, Water Management Systems, Quantitative Methods, Sustainable Agriculture, Internet of Things (IoT)

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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