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The spread of the Red Pal Weevil (RPW) has become an existential threat forpalm trees around the world. In the Middle East, RPW is causing wide-spreaddamage to date palm Phoenix dactylifera L., having both agricultural impacts onthe palm production and environmental impacts. Early detection of RPW is verychallenging, especially at large scale. This research proposes a novel remotesensing approach to recognize and monitor red palm weevil in date palm trees,using a combination of vegetation indices, object detection and semanticsegmentation techniques. The study area consists of date palm trees with threeclasses, including healthy palms, smallish palms and severely infected palms.This proposed method achieved a promising 0.947 F1 score on test data set. Thiswork paves the way for deploying artificial intelligence approaches to monitorRPW in large-scale as well as provide guidance for practitioners.

A Novel Remote Sensing Approach to Recognize and Monitor Red Palm Weevil in Date Palm Trees