The fruit fly Drosophila suzukii, or spotted wing drosophila (SWD), is a serious pest worldwide, attacking many soft‐skinned fruits. An efficient monitoring system that identifies and counts SWD in crops and their surroundings is therefore essential for integrated pest management (IPM) strategies. Existing methods, such as catching flies in liquid bait traps and counting them manually, are costly, time‐consuming and labour‐intensive. To overcome these limitations, we studied insect trap monitoring using image‐based object detection with deep learning.

中文翻译：

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深度学习用于自动检测铃木果蝇：基于无人机的监测潜力。

果蝇果蝇suzukii，或斑翅果蝇（SWD），是一种严重的害虫世界范围内，攻击很多软面皮水果。因此，一个有效的监控系统可以识别和计数农作物及其周围环境中的社署疾病，这对于虫害综合治理（IPM）战略至关重要。现有的方法，例如在诱饵诱集器中捕蝇并手动计数，都是昂贵，费时且费力的工作。为了克服这些局限性，我们研究了基于图像的目标检测和深度学习对昆虫诱捕器的监控。