论文标题
一种新颖的遥感方法，以识别和监视枣棕榈树中的红棕榈象鼻虫
A Novel Remote Sensing Approach to Recognize and Monitor Red Palm Weevil in Date Palm Trees
论文作者
论文摘要
红色友善（RPW）的传播已成为世界各地棕榈树的生存威胁。在中东，RPW对日期造成广泛的损害，日期对Palm Phoenix dactylifera L.具有对棕榈生产和环境影响的农业影响。 RPW的早期检测非常具有挑战性，尤其是在大规模上。这项研究提出了一种新型的遥感方法，以结合植被指数，对象检测和语义分割技术的结合，以识别和监测枣棕榈树中的红棕榈象鼻虫。研究区域由约会棕榈树组成，其中包括三个类别，包括健康的棕榈树，小棕榈树和严重感染的棕榈树。这项提出的方法在测试数据集中获得了有希望的0.947 F1得分。这项工作为部署人工智能方法铺平了道路，以大规模监视RPW，并为从业人员提供指导。
The spread of the Red Pal Weevil (RPW) has become an existential threat for palm trees around the world. In the Middle East, RPW is causing wide-spread damage to date palm Phoenix dactylifera L., having both agricultural impacts on the palm production and environmental impacts. Early detection of RPW is very challenging, especially at large scale. This research proposes a novel remote sensing approach to recognize and monitor red palm weevil in date palm trees, using a combination of vegetation indices, object detection and semantic segmentation techniques. The study area consists of date palm trees with three classes, including healthy palms, smallish palms and severely infected palms. This proposed method achieved a promising 0.947 F1 score on test data set. This work paves the way for deploying artificial intelligence approaches to monitor RPW in large-scale as well as provide guidance for practitioners.
