CN113125358A - 一种基于高光谱的食品农药残留检测方法、设备及介质 - Google Patents
一种基于高光谱的食品农药残留检测方法、设备及介质 Download PDFInfo
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- CN113125358A CN113125358A CN202110452991.7A CN202110452991A CN113125358A CN 113125358 A CN113125358 A CN 113125358A CN 202110452991 A CN202110452991 A CN 202110452991A CN 113125358 A CN113125358 A CN 113125358A
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- 235000013305 food Nutrition 0.000 title claims abstract description 155
- 239000000447 pesticide residue Substances 0.000 title claims abstract description 80
- 238000001514 detection method Methods 0.000 title claims abstract description 50
- 238000000513 principal component analysis Methods 0.000 claims abstract description 26
- 238000012847 principal component analysis method Methods 0.000 claims abstract description 26
- 238000012937 correction Methods 0.000 claims abstract description 17
- 239000002131 composite material Substances 0.000 claims abstract description 16
- 238000000034 method Methods 0.000 claims description 37
- 238000001228 spectrum Methods 0.000 claims description 26
- 239000000575 pesticide Substances 0.000 claims description 13
- 235000013399 edible fruits Nutrition 0.000 claims description 10
- 238000002310 reflectometry Methods 0.000 claims description 6
- 238000012360 testing method Methods 0.000 claims description 2
- 238000010586 diagram Methods 0.000 description 10
- 238000004590 computer program Methods 0.000 description 7
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- 230000006872 improvement Effects 0.000 description 2
- 239000000463 material Substances 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 241000249058 Anthracothorax Species 0.000 description 1
- 235000004936 Bromus mango Nutrition 0.000 description 1
- 235000014826 Mangifera indica Nutrition 0.000 description 1
- 240000005561 Musa balbisiana Species 0.000 description 1
- 235000009184 Spondias indica Nutrition 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 235000021015 bananas Nutrition 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
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- 239000003795 chemical substances by application Substances 0.000 description 1
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- 238000003709 image segmentation Methods 0.000 description 1
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- 230000005855 radiation Effects 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
- 238000004808 supercritical fluid chromatography Methods 0.000 description 1
- 238000003786 synthesis reaction Methods 0.000 description 1
- 235000013311 vegetables Nutrition 0.000 description 1
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
- G01N21/27—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands using photo-electric detection ; circuits for computing concentration
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
- G01N21/27—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands using photo-electric detection ; circuits for computing concentration
- G01N21/274—Calibration, base line adjustment, drift correction
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- Spectroscopy & Molecular Physics (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
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- Investigating Or Analysing Materials By Optical Means (AREA)
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CN202110452991.7A CN113125358B (zh) | 2021-04-26 | 2021-04-26 | 一种基于高光谱的食品农药残留检测方法、设备及介质 |
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Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113740276A (zh) * | 2021-09-02 | 2021-12-03 | 福州大学 | 基于多光谱探测***果蔬农残可视化实时检测方法及*** |
CN114758223A (zh) * | 2022-03-08 | 2022-07-15 | 深圳市五谷网络科技有限公司 | 农药使用的监测预警方法、装置、终端设备及存储介质 |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103868857A (zh) * | 2014-02-18 | 2014-06-18 | 成都理工大学 | 一种农药残留的检测方法、装置及*** |
CN104598886A (zh) * | 2015-01-23 | 2015-05-06 | 中国矿业大学(北京) | 一种用近红外高光谱图像识别霉变花生的方法 |
CN104931470A (zh) * | 2015-06-02 | 2015-09-23 | 江苏大学 | 一种基于荧光高光谱技术的农药残留检测装置及检测方法 |
CN105913023A (zh) * | 2016-04-12 | 2016-08-31 | 西北工业大学 | 基于多光谱图像和sar图像的黄河冰凌协同检测方法 |
CN107330875A (zh) * | 2017-05-31 | 2017-11-07 | 河海大学 | 基于遥感图像正反向异质性的水体周边环境变化检测方法 |
CN112070008A (zh) * | 2020-09-09 | 2020-12-11 | 武汉轻工大学 | 高光谱图像特征识别方法、装置、设备及存储介质 |
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- 2021-04-26 CN CN202110452991.7A patent/CN113125358B/zh active Active
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103868857A (zh) * | 2014-02-18 | 2014-06-18 | 成都理工大学 | 一种农药残留的检测方法、装置及*** |
CN104598886A (zh) * | 2015-01-23 | 2015-05-06 | 中国矿业大学(北京) | 一种用近红外高光谱图像识别霉变花生的方法 |
CN104931470A (zh) * | 2015-06-02 | 2015-09-23 | 江苏大学 | 一种基于荧光高光谱技术的农药残留检测装置及检测方法 |
CN105913023A (zh) * | 2016-04-12 | 2016-08-31 | 西北工业大学 | 基于多光谱图像和sar图像的黄河冰凌协同检测方法 |
CN107330875A (zh) * | 2017-05-31 | 2017-11-07 | 河海大学 | 基于遥感图像正反向异质性的水体周边环境变化检测方法 |
CN112070008A (zh) * | 2020-09-09 | 2020-12-11 | 武汉轻工大学 | 高光谱图像特征识别方法、装置、设备及存储介质 |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113740276A (zh) * | 2021-09-02 | 2021-12-03 | 福州大学 | 基于多光谱探测***果蔬农残可视化实时检测方法及*** |
CN114758223A (zh) * | 2022-03-08 | 2022-07-15 | 深圳市五谷网络科技有限公司 | 农药使用的监测预警方法、装置、终端设备及存储介质 |
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Denomination of invention: A hyperspectral based method, equipment, and medium for detecting food pesticide residues Effective date of registration: 20230620 Granted publication date: 20220325 Pledgee: Ji'nan rural commercial bank Limited by Share Ltd. high tech branch Pledgor: Shandong Shenlan Zhipu Digital Technology Co.,Ltd. Registration number: Y2023980044411 |
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Inventor after: Chen Yining Inventor after: Song Zhihua Inventor after: Zhang Liren Inventor before: Chen Xue Inventor before: Song Zhihua Inventor before: Zhang Liren |