Sustainable UAV and AI-Based Strategies for Managing Invasive Prosopis juliflora in Oman

The study focuses on addressing the ecological challenge posed by the rapid and uncontrolled proliferation of Prosopis juliflora, an invasive mesquite tree species, in the Dhofar Governorate of Oman. Currently occupying thousands of hectares of grasslands, rangelands, water points, and croplands, mesquite poses a significant threat to local ecosystems by competing intensely for water and nutrients, endangering the survival of native plant species. Traditional survey and control methods are impractical due to the vast and diverse landscapes of Dhofar. The study proposes an innovative approach by integrating Unmanned Aerial Vehicles (UAVs) with advanced remote sensing sensors, AI algorithms, and GPS technology to enhance monitoring and management strategies. Specific objectives include assessing UAV effectiveness in detecting and mapping mesquite spread, analyzing AI and GPS integration with UAV technology, evaluating the impact on household livelihoods, and developing comprehensive management strategies. The study aims to contribute valuable insights to ecological monitoring and management practices, safeguarding the region’s ecological balance.