Integrated pest management relies on insect pest monitoring to support the decision of counteracting a given level of infestation and to select the adequate control method. The classic monitoring approach of insect pests is based on placing in single infested areas a series of traps that are checked by human operators on a temporal basis. This strategy requires high labor cost and provides poor spatial and temporal resolution achievable by single operators. The adoption of image sensors to monitor insect pests can result in several practical advantages. The purpose of this review is to summarize the progress made on automatic traps with a particular focus on camera-equipped traps. The use of software and image recognition algorithms can support automatic trap usage to identify and/or count insect species from pictures. Considering the high image resolution achievable and the opportunity to exploit data transfer systems through wireless technology, it is possible to have remote control of insect captures, limiting field visits. The availability of real-time and on-line pest monitoring systems from a distant location opens the opportunity for measuring insect population dynamics constantly and simultaneously in a large number of traps with a limited human labor requirement. The actual limitations are the high cost, the low power autonomy and the low picture quality of some prototypes together with the need for further improvements in fully automated pest detection. Limits and benefits resulting from several case studies are examined with a perspective for the future development of technology-driven insect pest monitoring and management.

病虫害综合防治依靠虫害监测来支持抵制给定水平的侵染的决定并选择适当的控制方法。害虫的经典监视方法是基于在单个感染区域放置一系列陷阱，这些陷阱由操作人员在时间上进行检查。这种策略需要高昂的人工成本，并且单个操作员可以实现较差的空间和时间分辨率。采用图像传感器来监测害虫可以带来一些实际的优势。这篇综述的目的是总结在自动陷印装置上取得的进展，特别是在配备相机的陷印装置上。软件和图像识别算法的使用可以支持自动陷阱的使用，以从图片中识别和/或计数昆虫种类。考虑到可以实现的高图像分辨率以及通过无线技术利用数据传输系统的机会，可以对昆虫捕获进行远程控制，从而限制了实地考察。可以从遥远的地方获得实时在线虫害监测系统，这为在人力需求有限的大量诱捕器中持续，同时测量昆虫种群动态提供了机会。实际的局限性在于某些原型的高成本，低功耗自主权和低图像质量，以及需要进一步改进全自动虫害检测的需求。考察了几个案例研究产生的局限性和收益，并展望了技术驱动的虫害监测和管理的未来发展。