CN105954207A - Method for detecting content of chlorophyll b in canopy of jujube tree - Google Patents
Method for detecting content of chlorophyll b in canopy of jujube tree Download PDFInfo
- Publication number
- CN105954207A CN105954207A CN201610361783.5A CN201610361783A CN105954207A CN 105954207 A CN105954207 A CN 105954207A CN 201610361783 A CN201610361783 A CN 201610361783A CN 105954207 A CN105954207 A CN 105954207A
- Authority
- CN
- China
- Prior art keywords
- canopy
- jujube
- chlorophyll
- content
- smoothing
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 229930002869 chlorophyll b Natural products 0.000 title claims abstract description 41
- NSMUHPMZFPKNMZ-VBYMZDBQSA-M chlorophyll b Chemical compound C1([C@@H](C(=O)OC)C(=O)C2=C3C)=C2N2C3=CC(C(CC)=C3C=O)=[N+]4C3=CC3=C(C=C)C(C)=C5N3[Mg-2]42[N+]2=C1[C@@H](CCC(=O)OC\C=C(/C)CCC[C@H](C)CCC[C@H](C)CCCC(C)C)[C@H](C)C2=C5 NSMUHPMZFPKNMZ-VBYMZDBQSA-M 0.000 title claims abstract description 41
- 244000126002 Ziziphus vulgaris Species 0.000 title claims abstract description 20
- 235000008529 Ziziphus vulgaris Nutrition 0.000 title claims abstract description 20
- 238000000034 method Methods 0.000 title abstract description 15
- 238000001514 detection method Methods 0.000 claims abstract description 21
- 238000009499 grossing Methods 0.000 claims abstract description 11
- 241001247821 Ziziphus Species 0.000 claims description 28
- 230000003595 spectral effect Effects 0.000 claims description 8
- 238000005259 measurement Methods 0.000 claims description 4
- 239000000523 sample Substances 0.000 claims description 4
- 238000003672 processing method Methods 0.000 claims 1
- 238000001228 spectrum Methods 0.000 abstract 4
- 239000000126 substance Substances 0.000 description 4
- 239000003153 chemical reaction reagent Substances 0.000 description 3
- 239000007788 liquid Substances 0.000 description 3
- 230000007547 defect Effects 0.000 description 2
- 230000004720 fertilization Effects 0.000 description 2
- 239000003337 fertilizer Substances 0.000 description 2
- 241000196324 Embryophyta Species 0.000 description 1
- 238000012271 agricultural production Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 235000020774 essential nutrients Nutrition 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 239000002420 orchard Substances 0.000 description 1
- 238000002360 preparation method Methods 0.000 description 1
Classifications
-
- 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
-
- 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
- G01N21/55—Specular reflectivity
Landscapes
- Physics & Mathematics (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)
- Immunology (AREA)
- Pathology (AREA)
- Spectroscopy & Molecular Physics (AREA)
- Investigating Or Analysing Materials By Optical Means (AREA)
Abstract
Description
技术领域technical field
本发明属于植物培育工程技术领域,涉及一种叶绿素b含量的检测方法,具体地说,涉及一种枣树冠层叶绿素b含量的检测方法。The invention belongs to the technical field of plant cultivation engineering, and relates to a method for detecting the content of chlorophyll b, in particular to a method for detecting the content of chlorophyll b in the canopy of jujube trees.
背景技术Background technique
叶绿素b是枣树生长必不可少的营养元素,快速获取叶绿素b信息是监测枣树生长发育及品质保证的前提。现有技术总的枣树冠层叶绿素b含量的检测方法需要配制化学试剂,测定过程中化学尾液排放对环境的污染和对人体的伤害,而且存在操作步骤繁琐,检测时间长的缺陷。目前现有技术中急需一种无污染、操作简便、快速精确的枣树冠层叶绿素b含量的检测方法。Chlorophyll b is an essential nutrient element for the growth of jujube trees. Rapid acquisition of chlorophyll b information is a prerequisite for monitoring the growth and quality of jujube trees. The detection method of the total jujube canopy chlorophyll b content in the prior art requires the preparation of chemical reagents, and the discharge of chemical tail liquid during the measurement process will pollute the environment and harm the human body, and has the defects of cumbersome operation steps and long detection time. At present, there is an urgent need for a non-polluting, easy-to-operate, rapid and accurate detection method for the content of chlorophyll b in jujube canopy.
发明内容Contents of the invention
为了克服现有技术中存在的缺陷,本发明提出了一种无污染、操作简便、快速精确的枣树冠层叶绿素b含量的检测方法,该方法实现了枣树冠层叶绿素b含量的快速准确检测,不需要配制任何化学试剂,避免了测定过程中化学尾液排放对环境的污染和对人体的伤害,同时也大大简化了操作步骤,缩短了检测时间,能满足农业生产中大面积枣园短时间内要求获取冠层叶绿素b含量数据的需求,为枣树田间管理中叶绿素b肥的精准施用提供了快速获取施肥量依据的手段。In order to overcome the defects in the prior art, the present invention proposes a pollution-free, easy to operate, fast and accurate detection method for the content of chlorophyll b in the canopy of jujube trees, which realizes the rapid and accurate detection of the content of chlorophyll b in the canopy of jujube trees, There is no need to prepare any chemical reagents, which avoids the pollution of the environment and the harm to the human body caused by the discharge of chemical tail liquid during the determination process. At the same time, it also greatly simplifies the operation steps and shortens the detection time. The need to obtain the data of chlorophyll b content in the canopy provides a means to quickly obtain the basis for fertilization amount for the precise application of chlorophyll b fertilizer in jujube field management.
其技术方案如下:Its technical scheme is as follows:
一种枣树冠层叶绿素b含量的检测方法,包括以下步骤:A detection method of jujube canopy chlorophyll b content, comprising the following steps:
(1)选择晴朗、无云或少量云层、风力小于3级的天气采集所需测定叶绿素b含量枣树冠层的高光谱信息。(1) Select the weather with clear weather, no cloud or a few clouds, and the wind force is less than level 3 to collect the hyperspectral information of jujube canopy needed to determine the content of chlorophyll b.
(2)对高光谱数据进行多元散射校正后,采用小波降噪,再进行平滑处理。(2) After multivariate scattering correction is performed on the hyperspectral data, wavelet noise reduction is used, and then smoothing is performed.
(3)提取待测定叶绿素b含量枣树冠层的470、610、645、652、663、985、1160nm波长的光谱反射率值。(3) Extract the spectral reflectance values of the 470, 610, 645, 652, 663, 985, 1160nm wavelengths of the jujube canopy to be measured for chlorophyll b content.
(4)将各波长的反射率值代入枣树冠层叶绿素b含量检测模型:(4) Substitute the reflectance values of each wavelength into the detection model of chlorophyll b content in jujube tree canopy:
y=0.53796-30.89546x1-44.00625x2+506.2439x3-735.3674x4+289.2066x5-4.507388x6+8.182025x7 y=0.53796-30.89546x 1 -44.00625x 2 +506.2439x 3 -735.3674x 4 +289.2066x 5 -4.507388x 6 +8.182025x 7
其中,y为枣树冠层叶绿素b含量,单位为mg/g,x1、x2、x3、x4、x5、x6、x7分别为枣树冠层在470、610、645、652、663、985、1160nm波段的反射率值。Among them, y is the chlorophyll b content of jujube canopy, the unit is mg/g, x 1 , x 2 , x 3 , x 4 , x 5 , x 6 , x 7 are jujube canopy at 470, 610, 645, 652 , 663, 985, and 1160nm band reflectance values.
优选地,步骤(1)中所述的枣树冠层的高光谱信息采集,采集时探头必需垂直向下,且需对准冠层中心,探头距冠层1米高度。Preferably, for the hyperspectral information collection of the jujube tree canopy described in step (1), the probe must be vertically downward during collection, and must be aimed at the center of the canopy, and the probe must be 1 meter high from the canopy.
优选地,步骤(1)中所述的枣树冠层的高光谱信息采集,其采集时间为北京时间11:00-15:00。Preferably, the hyperspectral information collection of the jujube tree canopy described in step (1) is collected at 11:00-15:00 Beijing time.
优选地,步骤(2)中所述平滑处理方法为Savitzky-Golay Smoothing,平滑窗口为7。Preferably, the smoothing method in step (2) is Savitzky-Golay Smoothing, and the smoothing window is 7.
优选地,步骤(4)中所述的470、610、645、652、663、985、1160nm波长的光谱反射率值,为同一冠层所测的10次重复的反射率平均后并经过多元散射校正、小波降噪和平滑处理后的值。Preferably, the spectral reflectance values of 470, 610, 645, 652, 663, 985, and 1160nm wavelengths described in step (4) are after the average reflectance of 10 repetitions measured by the same canopy and through multiple scattering Corrected, wavelet denoised, and smoothed values.
本发明的有益效果为:The beneficial effects of the present invention are:
本发明实现了枣树冠层叶绿素b含量的快速准确检测,不需要配制任何化学试剂,避免了测定过程中化学尾液排放对环境的污染和对人体的伤害,同时也大大简化了操作步骤,缩短了检测时间,能满足农业生产中大面积枣园短时间内要求获取冠层叶绿素b含量数据的需求,为枣树田间管理中叶绿素b肥的精准施用提供了快速获取施肥量依据的手段。该方法具有无污染、操作简便、快速精确的特点,适合推广应用。The invention realizes the fast and accurate detection of the chlorophyll b content of the canopy of jujube trees without preparing any chemical reagents, avoids the pollution of the environment and the harm to the human body caused by the discharge of chemical tail liquid during the measurement process, and also greatly simplifies the operation steps and shortens the time. The detection time is shortened, which can meet the demand of obtaining canopy chlorophyll b content data in a short period of time in large-area jujube orchards in agricultural production, and provides a means to quickly obtain the basis for fertilization amount for the precise application of chlorophyll b fertilizer in jujube field management. The method has the characteristics of no pollution, simple and convenient operation, fast and accurate, and is suitable for popularization and application.
附图说明Description of drawings
图1为枣树冠层叶绿素b含量检测值与真实值的拟合程度。Figure 1 shows the fitting degree between the detected and true values of chlorophyll b content in jujube canopy.
具体实施方式detailed description
下面结合附图和具体实施方式对本发明的技术方案作进一步详细地说明。The technical solutions of the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.
一种枣树冠层叶绿素b含量的检测方法,包括以下步骤:A detection method of jujube canopy chlorophyll b content, comprising the following steps:
(1)测定待检测叶绿素b含量的枣树冠层的高光谱信息,选择晴朗无云或少云且风力小于3级的天气进行,本实例的具体测定时间为2015年8月21日,高光谱信息采集时间为北京时间13:00-15:00,高光谱信息采集仪器为美国ASD公司生产的FieldSpec 4便携式地物光谱仪,高光谱信息采集时探头垂直向下,距离冠层1米高度,每个冠层采集10条光谱曲线,10条曲线的平均值为该冠层的最终反射率值。本实例共采集了54个枣树冠层的高光谱信息。(1) Determining the hyperspectral information of the jujube canopy of the chlorophyll b content to be detected, select the weather that is clear and cloudless or less cloudy and the wind force is less than 3 levels, the specific measurement time of this example is August 21, 2015, hyperspectral The information collection time is 13:00-15:00 Beijing time. The hyperspectral information collection instrument is the FieldSpec 4 portable ground object spectrometer produced by ASD Company of the United States. 10 spectral curves are collected for each canopy, and the average value of the 10 curves is the final reflectance value of the canopy. In this example, a total of 54 hyperspectral information of jujube tree canopies were collected.
(2)对采集的54条光谱曲线进行多元散射校正后、小波降噪与平滑处理。(2) Multivariate scattering correction, wavelet noise reduction and smoothing were performed on the collected 54 spectral curves.
(3)提取每条曲线470、610、645、652、663、985、1160nm波长的光谱反射率值。(3) Extract the spectral reflectance values of each curve at wavelengths of 470, 610, 645, 652, 663, 985, and 1160 nm.
(4)将每条曲线470、610、645、652、663、985、1160nm波长的光谱反射率值代入枣树冠层叶绿素b含量检测模型:(4) Substitute the spectral reflectance value of each curve 470, 610, 645, 652, 663, 985, 1160nm wavelength into the jujube tree canopy chlorophyll b content detection model:
y=0.53796-30.89546x1-44.00625x2+506.2439x3-735.3674x4+289.2066x5-4.507388x6+8.182025x7 y=0.53796-30.89546x 1 -44.00625x 2 +506.2439x 3 -735.3674x 4 +289.2066x 5 -4.507388x 6 +8.182025x 7
其中,y为枣树冠层叶绿素b含量,单位为mg/g,x1、x2、x3、x4、x5、x6、x7分别为枣树冠层在470、610、645、652、663、985、1160nm波段的反射率值。Among them, y is the chlorophyll b content of jujube canopy, the unit is mg/g, x 1 , x 2 , x 3 , x 4 , x 5 , x 6 , x 7 are jujube canopy at 470, 610, 645, 652 , 663, 985, and 1160nm band reflectance values.
(5)表1是利用室内化学测定法获取的枣树冠层叶绿素b含量的真实值与利用上述枣树冠层叶绿素b含量检测模型得到的检测值的统计数据,由表1可以看出,真实值与检测值二者的平均值、最大值、最小值比较相近;图1是枣树冠层叶绿素b含量检测值与真实值的拟合程度。真实值与检测值之间的决定系数(R2)达到0.54,均方根误差(RMSE)仅有0.124mg/g,平均相对误差(MRE)只有13.04%,标准差与均方根误差比(RPD)达到1.52。综上,说明模型具有一定精度的预测能力。该结果表明,本发明的方法可以较高精度、快速的检测枣树冠层叶绿素b含量。(5) Table 1 is the statistical data that utilizes the true value of the jujube canopy chlorophyll b content that utilizes indoor chemical determination method to obtain and the detection value that utilizes above-mentioned jujube canopy chlorophyll b content detection model to obtain, as can be seen from Table 1, the true value The average value, maximum value and minimum value of the two detected values are relatively similar; Figure 1 shows the fitting degree between the detected value and the real value of chlorophyll b content in the canopy of jujube trees. The coefficient of determination (R 2 ) between the real value and the detected value reaches 0.54, the root mean square error (RMSE) is only 0.124 mg/g, the average relative error (MRE) is only 13.04%, and the ratio of standard deviation to root mean square error ( RPD) reached 1.52. In summary, it shows that the model has predictive ability with a certain accuracy. The result shows that the method of the present invention can detect the content of chlorophyll b in the canopy of jujube trees with high precision and fast.
表1枣树冠层叶绿素b的真实值与检测值统计(n=50)Table 1 The statistics of true and detected values of chlorophyll b in jujube tree canopy (n=50)
以上所述,仅为本发明较佳的具体实施方式,本发明的保护范围不限于此,任何熟悉本技术领域的技术人员在本发明披露的技术范围内,可显而易见地得到的技术方案的简单变化或等效替换均落入本发明的保护范围内。The above is only a preferred specific embodiment of the present invention, and the scope of protection of the present invention is not limited thereto. Any person familiar with the technical field within the technical scope disclosed in the present invention can obviously obtain the simplicity of the technical solution. Changes or equivalent replacements all fall within the protection scope of the present invention.
Claims (5)
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201610361783.5A CN105954207A (en) | 2016-05-23 | 2016-05-23 | Method for detecting content of chlorophyll b in canopy of jujube tree |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201610361783.5A CN105954207A (en) | 2016-05-23 | 2016-05-23 | Method for detecting content of chlorophyll b in canopy of jujube tree |
Publications (1)
Publication Number | Publication Date |
---|---|
CN105954207A true CN105954207A (en) | 2016-09-21 |
Family
ID=56910514
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201610361783.5A Pending CN105954207A (en) | 2016-05-23 | 2016-05-23 | Method for detecting content of chlorophyll b in canopy of jujube tree |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN105954207A (en) |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106248627A (en) * | 2016-10-09 | 2016-12-21 | 塔里木大学 | A kind of detection method of the humus content of the soil |
CN107132204A (en) * | 2017-06-08 | 2017-09-05 | 浙江大学 | The measurement apparatus and inversion method of a kind of chlorophyll content in leaf blades |
CN107219226A (en) * | 2017-07-24 | 2017-09-29 | 中国科学院遥感与数字地球研究所 | Image collecting device and enhancing vegetation index monitoring system |
CN111175783A (en) * | 2019-12-31 | 2020-05-19 | 塔里木大学 | A satellite remote sensing monitoring method for chlorophyll b content in cotton canopy |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103630499A (en) * | 2013-11-12 | 2014-03-12 | 浙江大学 | Detection method for distribution of fish protein content based on hyper-spectral imaging technology |
CN103674838A (en) * | 2013-11-12 | 2014-03-26 | 浙江大学 | Hyperspectral imaging technology-based fish fat content distribution detection method |
CN104483274A (en) * | 2015-01-17 | 2015-04-01 | 华东交通大学 | Device and method for detecting leaf nitrogen concentration of field maize plants |
-
2016
- 2016-05-23 CN CN201610361783.5A patent/CN105954207A/en active Pending
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103630499A (en) * | 2013-11-12 | 2014-03-12 | 浙江大学 | Detection method for distribution of fish protein content based on hyper-spectral imaging technology |
CN103674838A (en) * | 2013-11-12 | 2014-03-26 | 浙江大学 | Hyperspectral imaging technology-based fish fat content distribution detection method |
CN104483274A (en) * | 2015-01-17 | 2015-04-01 | 华东交通大学 | Device and method for detecting leaf nitrogen concentration of field maize plants |
Non-Patent Citations (1)
Title |
---|
邓小蕾: "果园信息获取现代传感方法及装置研究", 《中国博士学位论文全文数据库 农业科技辑》 * |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106248627A (en) * | 2016-10-09 | 2016-12-21 | 塔里木大学 | A kind of detection method of the humus content of the soil |
CN107132204A (en) * | 2017-06-08 | 2017-09-05 | 浙江大学 | The measurement apparatus and inversion method of a kind of chlorophyll content in leaf blades |
CN107219226A (en) * | 2017-07-24 | 2017-09-29 | 中国科学院遥感与数字地球研究所 | Image collecting device and enhancing vegetation index monitoring system |
CN111175783A (en) * | 2019-12-31 | 2020-05-19 | 塔里木大学 | A satellite remote sensing monitoring method for chlorophyll b content in cotton canopy |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN103954567B (en) | Soil salt assay method based on continuum removal method | |
CN101382488B (en) | Method for detection of nitrogen content in fresh tea leaves using visible-near infrared diffuse reflectance spectroscopy | |
CN116881812B (en) | A method for estimating forest carbon storage based on multi-source remote sensing data and random forest method | |
CN107024439A (en) | A kind of paddy rice different growing chlorophyll content EO-1 hyperion estimating and measuring method | |
CN110118742A (en) | Land table Vegetation canopy ecology water content remote sensing inversion method based on spectrum analysis | |
CN102721651A (en) | Detection method and system of water content in plant leaf based on multispectral image | |
CN104374711B (en) | A kind of trees blade face dust method for determination of amount and system | |
CN102435564A (en) | Method for estimating plant nitrogen content based on three-band spectral index | |
CN105823736A (en) | A method for detecting carotenoid content in jujube tree canopy | |
CN105404873B (en) | A kind of winter wheat recognition methods based on the conversion of NDVI time series coordinates | |
CN108981616B (en) | A method for inversion of effective leaf area index of plantation by UAV lidar | |
Miao et al. | Measurement method of maize morphological parameters based on point cloud image conversion | |
CN105954207A (en) | Method for detecting content of chlorophyll b in canopy of jujube tree | |
CN104915660A (en) | Winter wheat automatic recognition method based on GF-1/WFV NDVI time sequence | |
CN113252583B (en) | A method for calculating the coverage of alpine hay based on the hay vegetation index | |
CN110569805A (en) | A method for single tree extraction and site quality evaluation of plantation based on UAV image point cloud | |
CN103913425B (en) | The Relation To Grain Protein of Winter Wheat content prediction method be coupled based on spectrum index and climatic factor and the construction method of forecast model thereof | |
CN106501816A (en) | A kind of satellite remote-sensing monitoring method of jujube tree canopy nitrogen content | |
CN106504240B (en) | A Satellite Remote Sensing Monitoring Method of Chlorophyll-a Content in Jujube Tree Canopy | |
CN106501255A (en) | A kind of satellite remote-sensing monitoring method of jujube tree canopy Chlorophyll content | |
CN111582181B (en) | Detection method for whether crops are planted in regional scale greenhouse | |
CN106092911A (en) | A kind of detection method of jujube tree canopy phosphorus content | |
CN106092969A (en) | A kind of detection method of jujube tree canopy Chlorophyll-a Content | |
CN106501454B (en) | A kind of satellite remote-sensing monitoring method of jujube tree canopy content of chlorophyll b | |
CN106092909A (en) | A kind of detection method of jujube tree canopy chlorophyll content |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20160921 |