Artificial Intelligence (AI) Application in Invasive Species Monitoring and Control

Abstract- A deep learning algorithm play a critical role in identifying and tracking invasive species by analyzing images and videos captured by drones, satellites, and surveillance cameras. The edge AI enables real-time tracking of invasive species in remote areas using low-power, on-device processing without requiring cloud connectivity. IoT sensors help monitor key environmental changes linked to species expansion. Tiny Machine Learning runs lightweight AI models directly on IoT devices for species detection. These all system is worked based on artificial intelligence (AI).The environmental monitoring sensors have detected changes in temperature, humidity, and chemical compositions that indicate the presence of an invasive species. The artificial intelligence (AI) has the potential to revolutionize invasive species monitoring and assessment by providing faster and more reliable results. The invasive species pose a significant threat to ecosystems around the world, as they are often very difficult to control and threaten the stability and diversity of native plant .