摘要
在当前四川省竹产业大发展背景下,将以人工智能为代表的计算机高新技术引入竹子的生产经营环节,对竹产业基地实行精细化管理和提高竹产业绩效具有重要的现实意义。文章介绍了基于深度神经网络搭建的人工智能识别模型,并在此基础上设计并开发了针对竹类主要害虫的识别系统,实现了通过APP软件对竹类主要害虫进行便捷、准确识别,极大地提升了森防工作效率,为竹产业基地的健康发展提供了有效科技支撑,同时也为林业生产经营由传统模式转向智慧化进行了技术储备。
Under the context of the bamboo industry development in Sichuan province,introducing the artificial intelligence represented computer technologies in the bamboo production and operation is of realistic significance for the fine management of the bamboo industry base and the improvement of the bamboo industry performance.This paper introduces an artificial intelligence recognition model based on a deep neural network,and designs and develops a Main Bamboo Pests Recognition System on the model base.This system realizes the convenient and accurate recognition of main bamboo pests using an APP software,and greatly improves the efficiency of forest protection.Moreover,this recognition system not only provides scientific and technological support for the healthy development of the bamboo industry base,but also provides the technical reserves for the transformation of forestry production and management from traditional model to smart model.
作者
李非非
杨帆
余飞
季猛
舒智慧
徐杰
Li Feifei;Yang Fan;Yu Fei;Ji Meng;Shu Zhihui;Xu Jie(Chengdu XingYiNian Intelligent Technology Co.,Ltd,Chengdu 610095,China;University of Electronic Science and Technology of China,Chengdu 611731,China;Qionglai Municipal Bureau of Planning and Natural Resources,Chengdu 611500,China)
出处
《世界竹藤通讯》
2021年第2期27-33,共7页
World Bamboo and Rattan
基金
成都市科技项目重点研发支撑计划技术创新研发项目“基于人工智能的竹类害虫细粒度识别技术研究”(2019-YF05-01830-SN)
成都市财政局“2020年林业产业发展专项资金”(成财建发〔2020〕97号)。
关键词
竹类害虫
森林病虫害防治
人工智能
深度神经网络
识别系统
bamboo pest
forest disease and pest control
artificial intelligence
deep neural network
recognition system
