Early Detection of Red Palm Weevil in Date Palm Trees Using Machine Learning Approaches

The destructive pest known as the red palm weevil (RPW) has destroyed several palm tree farms all over the world. It can be difficult to identify RPW early, particularly on large-scale farms. Therefore, this paper introduces a strategy for the early identification of RPW in sizable farms using machine learning approaches. The proposed approach consists of four main phases, namely data pre-processing, feature extraction, classification, and evaluation phases. A total of 483 red palm weevil images are used to evaluate the performance of the proposed approach. It obtained an overall accuracy of 91%, precision of 92%, sensitivity of 90%, and f-score of 91%.