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作 者:郑加强[1] 徐幼林[1] 张慧春[1] 周宏平[1] 李秋洁[1] Zheng Jiaqiang;Xu Youlin;Zhang Huichun;Zhou Hongping;Li Qiujie(College of Mechanical and Electronic Engineering,Nanjing Forestry University, Nanjing 210037)
机构地区:[1]南京林业大学机械电子工程学院,南京210037
出 处:《林业科学》2023年第3期152-166,共15页Scientia Silvae Sinicae
基 金:国家自然科学基金项目(31901239);江苏省基础研究计划项目(BK20170930)。
摘 要:作为陆地森林生态系统骨架的树木长期遭受有害生物胁迫,危害林木正常生长,甚至造成林木死亡,对林业可持续发展带来严重威胁,为了实现对林业有害生物靶标及灾害区域的快速、准确检测和监测,需要识别获取林业有害生物防治靶标对象的特征。本研究首先重点围绕生物胁迫之植物病害、植物虫害、鼠(兔)危害、有害植物等直接靶标及其危害的间接靶标的主要特征分析,综述国内外采用不同途径检测和识别林业有害生物防治靶标的技术和装备研究概况。然后建议组织跨学科力量,探索研究基于植物胁迫预警靶标识别、传感网络协同防御控制的林业有害生物防治靶标识别技术及综合防治智能化系统。展望林业有害生物防治靶标识别被动传感技术和主动传感技术的未来发展,提出根据植物在生物胁迫下的物理化学特征表现开展机器视觉、气敏、力敏、热敏、声敏等防治靶标的被动传感技术研究,利用激光雷达扫描、光声效应主动引诱以及电子昆虫和气味主动引诱等主动传感技术,以解决被动传感难以识别特定有害生物靶标的问题,以及研发设计生物、磁敏、湿敏、热敏等新型传感器和研究超声波、LiDAR、辐射、卫星图像等多传感器融合技术,提高林业有害生物靶标的识别精度。最后围绕植物根系、野生哺乳动物、土栖白蚁、有害植物等特定靶标提出相应的靶标感知识别技术研究建议。The trees,as the skeleton of the terrestrial forest ecosystem,suffer from the stresses of forest pests for a long time,which endangers the normal growth of trees,even causes the death of trees,and poses a serious threat to the sustainable development of forestry.It is necessary to recognize and obtain the features of forest pests for realizing the rapid and accurate targets detection and monitoring of forest pests and pest damaged areas.This paper focuses on the analyses of the main features of direct targets of the biological stresses,such as plant diseases,plant insects,rats and rabbits,harmful plants etc.and indirect targets,and summarizes and reviews the research status of techniques and equipments for recognizing and identifying targets for forest pests control through different ways at home and abroad.It is recommended to establish interdisciplinary forces to constantly explore and study the target recognition technology and equipment for forest pest control and integrated control intelligent systems based on the early warning with the target recognition of the plant stresses and the cooperative defense control with the sensor network.This paper looks forward to the future development of passive/active sensing technologies focusing on target identification of forest pests control,and proposes to conduct research on the passive sensing technologies of control targets,including the machine vision,the odor-sensitive,the force-sensitive,the thermal-sensitive and the acoustic-sensitive according to the physical and chemical characteristics of forest plants under biological stresses.The active sensing technologies,such as LiDAR scanning,the photoacoustic effect active attraction and the electronic insects and odoriferous active attraction,would be applied to sense some specific pest targets which the passive sensing technologies are difficult to sense.It is also proposed that the design and development of new sensors such as the biology,the magnetic-sensitive,the humidity-sensitive and the thermal-sensitive senso
分 类 号:S763[农业科学—森林保护学] S768[农业科学—林学] S224.3
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