A new era of data collecting, analysis, and modeling for the monitoring and sustainable management of our planet's ecosystems has been ushered in by the Internet of Things (IoT), which has emerged as a transformative force in the field of environmental and ecological engineering. This thorough review paper highlights the critical role that IoT technologies play in resolving urgent environmental and ecological concerns by examining the dynamic synergy between IoT technology and cutting-edge data analytics and modeling methodologies. The review starts off by providing a thorough analysis of the state of IoT-based intelligent modeling in ecological and environmental engineering today, emphasizing how this paradigm shift has been driven by the quick developments in sensor technology, data processing capabilities, and communication protocols. It highlights how crucial the Internet of Things is to providing high-resolution, real-time data from far-off, previously unreachable places, allowing for a better understanding of biological systems and environmental events. IoT-based intelligent modeling's real-world applications are demonstrated in a variety of ecological and environmental settings. IoT technology has created a wide range of opportunities, from regulating the use of natural resources, reducing the effects of climate change, and assisting with precision agriculture, to tracking biodiversity changes, monitoring wildlife populations, and evaluating the quality of the air and water. The significance of these applications in research and real-world conservation initiatives is shown by case studies and success stories. Examined are the difficulties in applying IoT technologies to ecological and environmental engineering. These include worries about managing enormous datasets, integrating with current infrastructure, protecting privacy and security of data, and the moral implications of placing monitoring equipment in delicate environments. The review highlights cutting-edge tactics and industry best practices for overcoming these obstacles. The paper examines the bright future of IoT-based intelligent modeling, imagining a time when these technologies will develop further and contribute even more to ecological and environmental sustainability. It talks about how increasing automation, AI-powered decision assistance, and improved predictive modeling could result in proactive and successful ecosystem management techniques. An innovative era of ecological and environmental engineering has been brought about by the combination of IoT technologies with sophisticated data analytics and modeling techniques. With its thorough examination of the field, real-world applications, difficulties, and promising future of IoT-based intelligent modeling, this review highlights the critical role that this technology plays in protecting the environment and maintaining the sustainability of the planet's ecosystems.
