<![CDATA[This study examines microclimate fluctuations in a closed-house system for tropical broiler chickens and their relationship with broiler production performance under an Internet of Things (IoT)-based environmental control system. The system was implemented to monitor, record and regulate environmental parameters in real time to support environmental stability under tropical conditions. The relationship between Effective Temperature (ET), Temperature-Humidity Index (THI), Heat Stress Index (HSI), and Performance Index (PI) of broiler chickens was evaluated using non-linear curve fitting and Spearman’s correlation analysis based on data generated by the IoT. The results indicate that the quadratic model provides a better fit than the linear model in describing the relationship between microclimate variables and PI, although most models were not statistically significant. ET showed the highest explanatory power (R² = 0.164; p = 0.068), followed by THI (R² = 0.096; p = 0.220), whilst HSI showed almost no relationship with PI (R² = 0.010; p = 0.862). Spearman’s correlation analysis indicated that ET had the strongest and most significant negative correlation with PI (? = ?0.526; p = 0.002), followed by THI (? = ?0.490; p = 0.004), whilst HSI was not significantly correlated with PI (? = 0.228; p = 0.202). These findings suggest that ET and THI are more closely associated with broiler performance than HSI under tropical closed-house conditions. The final PI value (417.69) exceeded the overall average PI (358.29), indicating relatively stable production performance despite fluctuations in the microclimate.]]>
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