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This study focuses on developing an automation framework for the ArcGIS Product Survey123 form to validate and verify feature functionality. Using Selenium, and Sikuli automation ensures accuracy, efficiency, and reliability in tree inspection surveys. Survey123 enables tailored data gathering, Selenium automates web testing, and Sikuli adds image-based automation for comprehensive validation. By integrating these tools, the framework enhances efficiency, accuracy, and scalability, optimizing tree inspection workflows while ensuring adherence to requirements and standards.