The spread of the Red Palm Weevil has dramatically affected date growers, homeowners and governments, forcing them to deal with a constant threat to their palm trees. Early detection of palm tree infestation has been proven to be critical in order to allow treatment that may save trees from irreversible damage, and is most commonly performed by local physical access for individual tree monitoring. Here, we present a novel method for surveillance of Red Palm Weevil infested palm trees utilizing state-of-the-art deep learning algorithms, with aerial and street-level imagery data. To detect infested palm trees we analyzed over 100,000 aerial and street-images, mapping the location of palm trees in urban areas. Using this procedure, we discovered and verified infested palm trees at various locations.
翻译:红棕榈 Weevil的蔓延极大地影响了椰枣种植者、屋主和政府,迫使他们应对对棕榈树的持续威胁,及早发现棕榈树害虫已被证明至关重要,以便治疗树木免遭不可逆转的破坏,而且最常用的方法是当地实际进入,进行个别的树木监测。在这里,我们提出了一个新颖的方法,用以利用最先进的深层次学习算法,利用空中和街道图像数据,监测红棕榈韦维尔浸泡的棕榈树。为了探测我们分析的10万多个空中和街道图案的受污染棕榈树,绘制城市地区棕榈树的位置。我们利用这个方法发现并核实了不同地点的受污染棕榈树。