| 基于机器视觉的植物表型研究现状 |
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| 引用本文： | 严佳豪,彭辰晨,陈超凡,沈新航,焦祥.基于机器视觉的植物表型研究现状[J].南方农机,2021(8):195-196. |
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| 作者姓名： | 严佳豪 彭辰晨 陈超凡 沈新航 焦祥 |
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| 作者单位： | 无锡职业技术学院;江苏大学无锡机电学院 |
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| 基金项目： | 江苏省高职院校青年教师企业实践培训项目(2020QYSJPX186);江苏省高等学校大学生创新创业训练计划项目(202010848037Y);无锡职业技术学院博士科研课题“基于Visual Studio的虚拟数控车床加工仿真系统研究”(BT2018-02)。 |
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| 摘 要： | 传统基于人工的植物表型检测方法存在效率低下、主观性严重和测量误差大等问题,已难以满足现代农林业生产实践的要求。文章在分析植物表型研究必要性的基础上,系统综述国内外开展的植物表型检测技术研究,探讨了基于机器视觉的大田复杂环境下植物表型检测技术,并指出农林植物表型检测技术的发展必将推动农林植保的智能化。
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| 关 键 词： | 植物表型 机器视觉 检测 高通量 |
Research Status of Plant Phenotype Based on Machine Vision |
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| Authors: | Yan Jiahao Peng Chenchen Chen Chaofan Shen Xinhang Jiao Xiang |
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| Institution: | (Wuxi Institute of Technology,Jiangsu Wuxi 214121;Wuxi Mechanical and Electrical College,Jiangsu University,Jiangsu Wuxi 214121) |
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| Abstract: | Traditional plant phenotypic detection methods based on artificial methods have many problems,such as low efficiency,serious subjectivity and large measurement error,which can not meet the requirements of modern agricultural and forestry production practice.Based on the analysis of the necessity of plant phenotypic research,this paper systematically reviewed the research on plant phenotypic detection technology at home and abroad,discussed and analyzed the plant phenotypic detection technology in complex field environment based on machine vision,and pointed out that the development of plant phenotypic detection technology in agriculture and forestry will definitely promote the intellectualization of plant protection. |
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| Keywords: | Plant phenotype Machine vision Detection High throughput |
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