An Internet of Things Platform for Forest Protection

Forests have a very important function in sustaining the natural life on our planet. However, fires, natural disasters, uncontrolled tree cutting and many other dangers threaten these important resources. Therefore, effective monitoring and protection of forests is vital. This paper explores the development and implementation of an Internet of Things (IoT)-enabled forest monitoring system as an innovative solution that will contribute to the protection of forests. The presented system provides real-time and comprehensive forest data by integrating sensors, data communication and cloud platforms. It captures important information such as temperature, humidity, air quality and wildlife activities. Fire detection is achieved by correlating the increase in CO gas concentration with the increase in temperature. Landslides are detected by measuring the acceleration of soil movement in 3 axes. Additionally, the system includes advanced machine learning-based acoustic tracking techniques to detect chainsaws, motor vehicles, screams, shouts, and gunshots. The IoT-based system provides a web-based user interface and other powerful tools to system users such as forest managers and researchers. These tools detect early signs of threats such as wildfires, landslides and changes in forest health. Through our testing, we demonstrate the system's effectiveness in providing timely insights for protecting forests and managing ecosystems. Through the use of effective technology, this research contributes to improving our ability to protect and preserve the forests that are so important for our planet.