Institute for Plant Protection in Horticulture and Forests, Julius Kühn-Institut, Messeweg 11-12, 38104, Braunschweig, Germany.
Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB), Potsdam-Bornim e.V., Max-Eyth-Allee 100, 14469, Potsdam, Germany.
Sci Rep. 2021 May 17;11(1):10419. doi: 10.1038/s41598-021-89930-w.
While insect monitoring is a prerequisite for precise decision-making regarding integrated pest management (IPM), it is time- and cost-intensive. Low-cost, time-saving and easy-to-operate tools for automated monitoring will therefore play a key role in increased acceptance and application of IPM in practice. In this study, we tested the differentiation of two whitefly species and their natural enemies trapped on yellow sticky traps (YSTs) via image processing approaches under practical conditions. Using the bag of visual words (BoVW) algorithm, accurate differentiation between both natural enemies and the Trialeurodes vaporariorum and Bemisia tabaci species was possible, whereas the procedure for B. tabaci could not be used to differentiate this species from T. vaporariorum. The decay of species was considered using fresh and aged catches of all the species on the YSTs, and different pooling scenarios were applied to enhance model performance. The best performance was reached when fresh and aged individuals were used together and the whitefly species were pooled into one category for model training. With an independent dataset consisting of photos from the YSTs that were placed in greenhouses and consequently with a naturally occurring species mixture as the background, a differentiation rate of more than 85% was reached for natural enemies and whiteflies.
尽管昆虫监测是进行综合虫害管理（IPM）精确决策的前提，但它既耗时又费成本。因此，低成本、省时且易于操作的自动化监测工具将在提高 IPM 在实践中的接受度和应用方面发挥关键作用。在这项研究中，我们根据实际条件，通过图像处理方法测试了在黄色诱虫板（YST）上诱捕的两种粉虱及其天敌的区分。使用视觉词袋（BoVW）算法，可以准确区分两种天敌和烟粉虱和烟粉虱，而 B. tabaci 的方法不能用于区分该物种与 T. vaporariorum。考虑到 YST 上所有物种的新鲜和陈旧捕获物的物种衰减，应用了不同的汇集方案来提高模型性能。当将新鲜和陈旧个体一起使用并将粉虱物种合并为一个类别进行模型训练时，可达到最佳性能。使用由温室中放置的 YST 拍摄的照片组成的独立数据集，并且背景中存在自然发生的物种混合物，对于天敌和粉虱的区分率超过 85%。
