Application of Artificial Intelligence Based Bamboo Pest Recognition System to Forest Pest Control Scenario
Li Feifei1, Zhang Xiaoqian2, Xu Jie2, Zhao Bo3, Wang Haixia4, Chen Qibing5
1. Chengdu Thinlect Intelligent Technology Co., Ltd, Chengdu 610095, China; 2. University of Electronic Science and Technology of China, Chengdu 611731, China; 3. Qionglai Municipal Bureau of Planning and Natural Resources, Chengdu 611500, China; 4. Chengdu Zoo/Chengdu Wildlife Research Institute, Chengdu 610081, China; 5. Sichuan Agricultural University, Chengdu 611130, China
Abstract：Artificial intelligence technology and its application have become an important backup and a growth point of innovation business for the development of forestry and grass industry. Under the background of the great development of bamboo industry in Sichuan Province, Qionglai City developed a recognition system for main pests of bamboo based on artificial intelligence technology and applied it to the bamboo industry base in the forest pest prevention scenario. The main functions of the system are to intelligently identify pests in bamboo industrial bases, which promotes the adoption of intelligent-based management methods such as statistical analysis of pest occurrence and patrol management by rangers. The application of this system facilitates the organized management of the local bamboo industry base, explores new ways to modernize the bamboo industry, and provides support for the intelligent development of the bamboo industry. This paper introduces the artificial intelligence technology used in the system and its practical application, and prospects the further application of relevant achievements in the field of forest pest control.
李非非, 张笑谦, 徐杰, 赵波, 汪海霞, 陈其兵. 基于人工智能技术的竹类主要害虫识别系统在森防场景中的应用[J]. 世界竹藤通讯, 2022, 20(5): 10-18.
Li Feifei, Zhang Xiaoqian, Xu Jie, Zhao Bo, Wang Haixia, Chen Qibing. Application of Artificial Intelligence Based Bamboo Pest Recognition System to Forest Pest Control Scenario. World Bamboo and Rattan, 2022, 20(5): 10-18.
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