A seminar on Assessing gully erosion susceptibility using topographic derived attributes, multi-criteria decision-making, and machine learning classifiers held in the College of Science in Geology Department,  The postgraduate student, Ahmed Jamal Abdul-Jaleel, demonstrated the most important objectives of the study in . Mapping the groove erosion map of the area and knowing the places most exposed to erosion so that it can be protected in the future.