Images Processing of Unmanned Aerial Vehicle (UAV) for Cannabis Identification

This research purpose is to find new effective ways to search cannabis fields where there is an illegal plant in Indonesia. The remote sensing method was used, initial identification coordinates of the suspected area using satellite imagery, but due to limited image resolution it was not possible to analyze details in a small area, so it was continued by taking aerial photos using the Unmanned Aerial Vehicle (UAV) of Quantum Trinity F90+ on the coordinate point. The results of data processing aerial photos from UAV were analyzed using visual analytics, to obtain coordinate points that were positively suspected cannabis fields. For validation, the DJI Matrice 300 RTK drone is flown equipped with a camera that can zoom very well on suspected objects, so it can be ascertained whether the positive object on the coordinate point is cannabis or not. From UAV succeeded in finding 19 coordinate points suspected of cannabis fields, but after validation using a zoom camera drone, it was confirmed only 11 locations positive for cannabis fields. This research is very helpful for law enforcement officers who are tasked with destroying cannabis fields, ensuring the shortened time and discovery at the positive coordinate target point, when compared with the traditional methods they have used the whole time.