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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
引用本文: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.
作者姓名:李非非  张笑谦  徐杰  赵波  汪海霞  陈其兵
作者单位:1. 成都星亿年智慧科技有限公司 成都 610095;2. 电子科技大学 成都 611731;3. 邛崃市规划和自然资源局 成都 611500;4. 成都市动物园/成都市野生动物研究所 成都 610081;5. 四川农业大学 成都 611130
基金项目:成都市科技项目重点研发支撑计划技术创新研发项目“面向智慧农业的层次多标签约束优化的害虫图像识别关键技术”(2022-YF05-00940-SN);成都市2021年第一批林业产业发展专项资金计划项目(成财建发[2021]51号)。
摘    要:人工智能技术及其应用已成为林草业重点建设领域的重要支撑和业务创新增长点。在四川省竹产业大发展背景下,邛崃市将基于人工智能技术开发的竹类主要害虫识别系统应用于竹产业基地森防场景,实现了对竹产业基地的害虫智能识别,并衍生出害虫发生情况统计分析、管护员巡护管理等智慧化管理手段,促进了当地竹产业基地的精细化管理,探索了竹产业现代化的新途径,为竹产业建设迈入智慧化目标提供了支撑。文中介绍了该系统采用的人工智能技术及相关功能的实际应用,并对相关成果在森防领域开展更广泛的后续应用进行了展望。

关 键 词:人工智能技术  竹类害虫  识别系统  森防应用  四川邛崃  

Application of Artificial Intelligence Based Bamboo Pest Recognition System to Forest Pest Control Scenario
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[J].World Bamboo and Rattan,2022,20(5):10.
Authors:Li Feifei  Zhang Xiaoqian  Xu Jie  Zhao Bo  Wang Haixia  Chen Qibing
Institution: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.
Keywords:artificial intelligence technology  bamboo pest  recognition system  application to forest pest control system  Qionglai City  Sichuan Province  
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