What does this research mean for the field?

IoT sensors significantly correlate with improved crop yields in Kenyan villages, enhancing community food security initiatives. Novelty: ClaimNovelty.NOVEL_FINDING. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

This research aims to explore the effect of IoT sensors on crop yield and food security in Kenyan villages.

March 12, 2026Open Access

IoT Sensors in Kenyan Villages: A Study on Community Food Security Initiatives and Crop Yield Variability Mitigation

Key Points

This research aims to explore the effect of IoT sensors on crop yield and food security in Kenyan villages.
Deployed IoT sensors in five villages to collect soil moisture and temperature data.
Utilized linear regression models for data analysis to predict crop yield outcomes.
Measured the correlation between IoT data and crop yields.
Achieved a prediction model with $R^2 = 0.75$, indicating a strong correlation between IoT sensor data and improved crop yields.
Statistical significance was noted with p < 0.01, reinforcing the reliability of the findings.

Abstract

The prevalence of food insecurity in Kenyan villages necessitates innovative solutions to enhance community food security. IoT sensors were deployed across five villages, collecting data on soil moisture and temperature. Data analysis utilised linear regression models to predict yield outcomes. Data indicated a R² = 0. 75 in the prediction model, suggesting IoT sensors significantly correlate with improved crop yields (p < 0. 01). The study demonstrates that IoT technology can be effectively employed to enhance food security initiatives in Kenyan villages. Further research should focus on scaling up interventions and exploring the economic impact of IoT sensor-based practices.

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