Integrating Artificial Intelligence with Internet of Things (IoT) for Scientific Experiments

Scientific experimentation is essential for knowledge generation, yet traditional laboratory methods often struggle to manage the complexity and data intensity associated with modern research. While the Internet of Things (IoT) enables real-time data collection through interconnected sensors, it lacks intelligent interpretation capabilities, whereas Artificial Intelligence (AI) provides advanced analytical functions. This study investigated the integration of AI with IoT to enhance the conduct, accuracy, and efficiency of scientific experiments. A descriptive survey research design was adopted. The study population comprised academic researchers, laboratory technologists, and ICT professionals, from which a sample size of 120 respondents was selected using purposive sampling techniques. Data were collected through a structured questionnaire organised into sections covering demographic data and research variables. Responses were measured on a four-point Likert scale ranging from Strongly Agree to Strongly Disagree. Validity was ensured through expert review, while reliability was confirmed using Cronbach’s Alpha with a coefficient of 0.82. Data were analysed using mean score analysis. Findings revealed that AI-IoT integration enhances real-time monitoring, automated control of experimental conditions, and intelligent interpretation of sensor data. Results also indicated improvements in data accuracy, reduction of experimental errors, and increased efficiency in scientific experimentation. Respondents expressed positive perceptions toward AI-IoT laboratory systems. The study concluded that integrating Artificial Intelligence with the Internet of Things transforms conventional laboratories into intelligent, autonomous, and data-driven research environments. The study recommended investment in smart laboratory infrastructure, researcher training, and supportive policies to facilitate AI-IoT adoption in scientific experimentation.

Keywords: Artificial Intelligence, Internet of Things, Scientific Experiments, Smart Laboratories, Intelligent Systems.