CN108535200A - 基于可见光、太赫兹融合光谱技术的叶菜类蔬菜叶片重金属镉的检测装置及方法 - Google Patents
基于可见光、太赫兹融合光谱技术的叶菜类蔬菜叶片重金属镉的检测装置及方法 Download PDFInfo
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Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110348490A (zh) * | 2019-06-20 | 2019-10-18 | 宜通世纪科技股份有限公司 | 一种基于支持向量机算法的土壤质量预测方法及装置 |
CN110987853A (zh) * | 2019-11-08 | 2020-04-10 | 北京农业信息技术研究中心 | 基于太赫兹光谱的土壤铅污染程度预测方法及装置 |
CN111027629A (zh) * | 2019-12-13 | 2020-04-17 | 国网山东省电力公司莱芜供电公司 | 基于改进随机森林的配电网故障停电率预测方法及系统 |
CN111781159A (zh) * | 2020-07-30 | 2020-10-16 | 浙江大学 | 一种植物镉螯合物原位检测方法及系统 |
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JP2008175760A (ja) * | 2007-01-22 | 2008-07-31 | National Agriculture & Food Research Organization | 穀物の品質評価装置 |
CN106124435A (zh) * | 2016-07-04 | 2016-11-16 | 江苏大学 | 基于可见光、近红外、太赫兹融合光谱技术的大米新陈品质检测装置及检测方法 |
CN107179291A (zh) * | 2017-05-10 | 2017-09-19 | 中国科学院合肥物质科学研究院 | 基于太赫兹光谱与深度自动编码器的土壤重金属元素含量预测方法 |
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2018
- 2018-01-23 CN CN201810078227.6A patent/CN108535200B/zh active Active
Patent Citations (3)
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JP2008175760A (ja) * | 2007-01-22 | 2008-07-31 | National Agriculture & Food Research Organization | 穀物の品質評価装置 |
CN106124435A (zh) * | 2016-07-04 | 2016-11-16 | 江苏大学 | 基于可见光、近红外、太赫兹融合光谱技术的大米新陈品质检测装置及检测方法 |
CN107179291A (zh) * | 2017-05-10 | 2017-09-19 | 中国科学院合肥物质科学研究院 | 基于太赫兹光谱与深度自动编码器的土壤重金属元素含量预测方法 |
Non-Patent Citations (2)
Title |
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李斌等: "基于太赫兹光谱的土壤重金属铅含量检测初步研究", 《农业机械学报》 * |
顾艳文等: "基于光谱参数对小白菜叶片镉含量的高光谱估算", 《生态学报》 * |
Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110348490A (zh) * | 2019-06-20 | 2019-10-18 | 宜通世纪科技股份有限公司 | 一种基于支持向量机算法的土壤质量预测方法及装置 |
CN110987853A (zh) * | 2019-11-08 | 2020-04-10 | 北京农业信息技术研究中心 | 基于太赫兹光谱的土壤铅污染程度预测方法及装置 |
CN110987853B (zh) * | 2019-11-08 | 2022-02-11 | 北京农业信息技术研究中心 | 基于太赫兹光谱的土壤铅污染程度预测方法及装置 |
CN111027629A (zh) * | 2019-12-13 | 2020-04-17 | 国网山东省电力公司莱芜供电公司 | 基于改进随机森林的配电网故障停电率预测方法及系统 |
CN111027629B (zh) * | 2019-12-13 | 2024-02-27 | 国网山东省电力公司莱芜供电公司 | 基于改进随机森林的配电网故障停电率预测方法及系统 |
CN111781159A (zh) * | 2020-07-30 | 2020-10-16 | 浙江大学 | 一种植物镉螯合物原位检测方法及系统 |
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