By Abhishyant Kidangoor For years, detecting illegal roads in remote areas has remained a challenging and labor-intensive task. More often than not, it requires poring over satellite images to identify thin lines cut through the dense green of forests and fragile ecosystems. Enter artificial intelligence. A new study published in the journal Remote Sensing describes how scientists have automated the process of mapping illegal roads that are wreaking havoc on the environment. The model was trained to detect roads from satellite images captured from rural and semiforested areas in Papua New Guin…