Efficient hygro-thermal and ammonia control in day-old chick brooding box using internet of things and Tsukamoto Fuzzy controller

Abstract

Abstract Day-old chick brooding box systems play a pivotal role in optimizing chicken production by providing ideal environmental conditions. Controlling hygro-thermal parameters (temperature and relative humidity) and ammonia levels in poultry buildings is paramount. In this study, we introduce a novel approach where an Internet of Things (IoT) based prototype for day-old chick brooding box management is integrated with an Android application for real-time monitoring and control. The prototype incorporates an innovative hybrid control strategy, combining a Tsukamoto (TSUKAMOTO) fuzzy logic controller (FLC) with IoT. This approach is rigorously tested through experimental measures and studies over a 90-day period, encompassing both rainy and drought seasons. Comparative analysis reveals that the T-FLC controller outperforms conventional methods, exhibiting lower root mean square errors for temperature and relative humidity response (0.9°C, 1.35%) compared to the FLC (1.18°C, 1.89%) and On/Off controller (2.08°C, 3.07%). Importantly, all controllers maintain ammonia concentrations below 4 ppm. Furthermore, the T-FLC system demonstrates superior efficiency, achieving a daily weight gain rate of 95%, surpassing the FLC (89%) and On/Off controller (81%). Additionally, the T-FLC controller significantly reduces energy consumption, saving up to 40% compared to the On/Off controller and 16% compared to the fuzzy controller. These findings underscore the exceptional efficiency and effectiveness of the proposed control strategy for day-old chick brooding box applications, promising enhanced poultry production and sustainability.