【目的】 探索昆虫远程智能监测系统在苹果园害虫监测中的应用技术。【方法】 采用双机双摄图像采集系统收集每个时间段诱集昆虫的清晰图像，并传送至系统，在系统客户端进行识别记录。【结果】 昆虫远程智能监测系统通过平台设定参数，自动完成昆虫的诱集、灭杀、拍照、传输、收集等工作，客户端人工识别、计数较准确，与实际害虫发生吻合度高。【结论】 昆虫远程智能监测系统可实现苹果园多种主要害虫的远程实时监测，减少了监测的人力物力。电脑神经网络通过平台提供的昆虫图片的学习、特征提取、结构构建和模型评估，最终可实现昆虫的自动识别计数。

[Objectives]  To determine the potential for using remote intelligent monitoring systems to monitor pests in apple orchards. [Methods]  A double image acquisition system was used to collect clear images of insects which were then transmitted for identification and recording. [Results]  After setting appropriate parameters, the remote intelligent monitoring system could automatically trap, kill, photograph, transmit images and collect insects. Manual identification and counting were more accurate and more closely matched actual insect occurrence. [Conclusion]  Remote intelligent monitoring systems can monitor a variety of major pests in apple orchards in real time, thereby significantly reducing human and material costs of monitoring. After training, feature extraction, structure building and model evaluation of insect images, computer software can automatically recognize and count insects.