| 摘要 |
[Objectives] To assess the effectiveness of the intelligent small insect monitoring and forecasting system developed by Zhejiang Top Cloud-Agri Technology Co., Ltd. in monitoring, providing early warnings, and identifying rice planthoppers. [Methods] In 2024, an experiment involving the automatic identification and counting of rice planthoppers was conducted using the intelligent small insect monitoring and forecasting system in the rice production demonstration area of Qingxichang Sub-district, Xiushan Autonomous County, Chongqing City. The results obtained were subsequently compared and analyzed against those derived from manual identification. [Results] The intelligent small insect monitoring and forecasting system achieved recognition accuracy rates of 95.14%, 94.25%, and 97.78% for Nilaparvata lugens, Sogatella furcifera, and Laodelphax striatellus, respectively, resulting in an average accuracy rate of 95.72%. The outcomes derived from automatic recognition closely corresponded with those obtained through manual identification. [Conclusions] This research provides a reference for the optimization of the intelligent small insect monitoring and forecasting system. |
