CN113919690A - Tobacco leaf field maturity state evaluation method and application - Google Patents
Tobacco leaf field maturity state evaluation method and application Download PDFInfo
- Publication number
- CN113919690A CN113919690A CN202111176769.5A CN202111176769A CN113919690A CN 113919690 A CN113919690 A CN 113919690A CN 202111176769 A CN202111176769 A CN 202111176769A CN 113919690 A CN113919690 A CN 113919690A
- Authority
- CN
- China
- Prior art keywords
- tobacco leaves
- tobacco
- maturity
- mitlf
- field
- 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.)
- Granted
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/02—Agriculture; Fishing; Mining
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Abstract
The invention relates to the field of tobacco leaf management methods, in particular to a field maturity state evaluation method for flue-cured tobacco leaves. Collecting flue-cured tobacco leaves in different mature states, and measuring chlorophyll, MDA, protein and H of the flue-cured tobacco leaves2O2The POD, the tobacco color difference value and other various internal physiological indexes and appearance color difference indexes closely related to the mature state of the tobacco; and establishing an MITLF value for evaluating the field maturity state by adopting a main component comprehensive evaluation method based on the indexes. According to the invention, the MITLF index for evaluating the field maturity state of the tobacco leaves is established, the maturity state of the tobacco leaves is distinguished according to the MITLF value, and objective, quantitative and accurate evaluation on the field maturity state of the flue-cured tobacco leaves is realized.
Description
Technical Field
The invention relates to the field of tobacco leaf management methods, in particular to a tobacco leaf field maturity state evaluation method and application.
Background
At present, the field maturity state of tobacco leaves is qualitatively grasped mainly by visual and hand feeling in tobacco leaf production. The qualitative reference is mainly based on the color change of the leaf surface and the main vein, the hair shedding condition, the section of the main vein of the tobacco leaves during harvesting and the like. The existing research shows that: when the middle tobacco leaf is mature, the main vein is completely white, and the branch vein is partially white; when the upper tobacco leaves are mature, the main vein is completely white, and the branch vein is about 2/3 white; the standard of tobacco leaf maturation and collection is that the middle leaf surface is light yellow, about 8-9 parts become yellow, the main vein is whitened by more than 2/3 days, and the collection is delayed by 5 days compared with the conventional collection; the upper leaf surface is basically yellow, about 9-10 parts become yellow, the main pulse is completely white, and the harvesting is delayed for 7 days compared with the conventional method. When the lower tobacco leaves are mature, the fuzz hardly falls off; when the middle tobacco leaves are mature, the fuzz part falls off; when the upper tobacco leaves are mature, most of the fuzz falls off. Studies such as Zhaihong, etc. indicate that when the tobacco leaves are mature, the main veins become white and crisp, and are easy to be picked off, and clear and crisp sound can be generated during picking, and the sections are even. The leaf ages of the tobacco leaves at different parts are different when the tobacco leaves are ripe, and the tobacco leaves at the lower part are most suitable for being harvested and baked at 9 weeks, 11 weeks and 10-12 weeks respectively. Researches of Wangbi and the like indicate that the maturity degree of tobacco leaves can be quantitatively reflected by the included angle of stems and leaves in the process of maturing the tobacco leaves, the appearance color of the tobacco leaves at the middle upper part can be 9 yellow, and the included angle of the stems and leaves can be used as a maturity-appropriating mark when the included angle of the stems and leaves reaches 80-90 degrees. The method for judging the field maturity of the tobacco leaves according to the appearance performance of the tobacco leaves is simple and easy to implement, is easily interfered by human subjective factors, and is not objective.
Liao, Ming et al, show that chlorophyll a, chlorophyll b, total chlorophyll and carotenoid all become mature state with tobacco leaf in fieldIs increased and decreased. Research on Liuxue pine and the like indicates that the MDA content of each part of the leaf blade is linearly related to the field mature state and shows that the lower part of the leaf blade>Superior lobe>Trend of middle lobe. H2O2Is one of active oxygen free radicals, can attack membrane system to destroy cell membrane structure, increase membrane permeability, and increase H with tobacco mature state2O2The content gradually increases. The Sunzhi research finds that the size of the soluble protein content determines to some extent the anti-ageing capacity of plants, and in tomato fruits, the activity of proteases changes with the ripening and ageing of the fruits. Korean malpeak and other researches show that the activity of SOD in the tobacco leaves is gradually reduced along with the maturity of the tobacco leaves. The Wang Yangfu research shows that the POD activity of each part of the tobacco leaves shows a descending trend in the tobacco leaf maturation process, and the POD activity is expressed as that of the upper leaves>Middle leaf>The lower leaf. Researches such as Wangdongmin and the like show that the relative conductivity of the tobacco leaves is greatly increased when the tobacco leaves enter an aging period, and the mature state of the tobacco leaves can be roughly judged by measuring the relative conductivity in different harvesting periods. Studies such as Zhanguli and the like indicate that the content of free proline shows a V-shaped deformation rule along with the maturity of tobacco leaves, the lowest content is the harvesting period of the tobacco leaves, and the content of the free proline can be used as a biochemical index for judging the field maturity state of the tobacco leaves.
Tobacco leaves with different maturity degrees show regular differences in indexes such as chlorophyll content, protein content, membrane lipid peroxidation degree and antioxidant enzyme activity, and the indexes are considered by the former people to reflect the maturity state of the tobacco leaves.
In production, the field maturity state of the tobacco leaves is qualitatively judged by means of visual and hand-touch sensory cognition, the result is inevitably strong in artificial subjectivity, and the tobacco leaf maturity judgment result is prone to have certain deviation. The establishment of a quantitative determination method for the mature state of tobacco leaves based on objective detection indexes is an urgent problem in tobacco leaf production in China.
The existing tobacco leaf maturity state quantitative research at present comprises: 1) establishing a maturity state quantitative comparison method by utilizing the chlorophyll content of the tobacco leaves or the surface color space indexes (such as RGB), and 2) judging the maturity state of the tobacco leaves based on the spectral characteristics of the tobacco leaves. The plum Buddlein establishes a tobacco leaf maturity state quantitative discrimination model by utilizing chlorophyll relative content value (SPAD). The Liujianjun preprocesses the tobacco digital image information, after the acquired image is corrected in color by white background, the mosaic compression coefficient 20 is used for compressing the image data, the value of R is extracted from the image data and is calculated by the formula MaR being 10 multiplied by R/255 to be used as the maturity state index, and the maturity state index of the whole tobacco leaf is obtained and is used for the quantitative comparison of the maturity state of the tobacco leaf. In the method, the plum Buddlin is used for quantitatively judging the mature state of the tobacco leaves, a mature state grade assignment and quantification system is established based on a hyperspectral model, but the hyperspectral technology is very complex, and the identification difficulty of the plum Buddlin is higher when the plum Buddlin is applied to the field mature state of the tobacco leaves.
At present, research on a comprehensive quantitative evaluation method for field maturity of tobacco leaves by simultaneously utilizing multiple characteristic indexes of the tobacco leaves is not available. The concrete technical problems of the related researches are concentrated on how to comprehensively and quantitatively judge the field maturity state of the tobacco leaves by using various indexes related to aging.
Disclosure of Invention
In order to solve the technical problems, the invention provides a field maturity state evaluation method and application of tobacco leaves, which are used for collecting tobacco leaves in different maturity states and measuring chlorophyll, MDA, soluble protein and H of the tobacco leaves2O2The POD, the tobacco color difference value and other various internal physiological indexes and appearance color difference indexes closely related to the mature state of the tobacco; and establishing an MITLF value for evaluating the field maturity state by adopting a main component comprehensive evaluation method based on the indexes. According to the method, the field maturity state of the tobacco leaves is evaluated according to the height of the value of the MITLF by establishing the field maturity state evaluation index MITLF of the tobacco leaves, and the maturity states of the tobacco leaves are distinguished, so that objective quantitative and accurate evaluation of the field maturity state of the tobacco leaves is realized.
The invention provides a field maturity state evaluation method for tobacco leaves, which specifically comprises the following steps:
s1, respectively collecting tobacco leaf sample groups in three mature states of under-mature, proper-mature and over-mature;
s2, measuring the internal physiological indexes and the appearance color difference indexes of the tobacco leaf samples;
the intrinsic physiological index comprises chlorophyll, MDA, soluble protein, H2O2And POD enzyme activity;
the appearance color difference indexes comprise brightness L, red-green degree a and blue-yellow degree b:
s3, establishing a comprehensive value reflecting the field maturity state of the tobacco leaves by adopting a principal component comprehensive grading method, namely a field maturity state index (MITLF) of the tobacco leaves;
and distinguishing the mature state of the tobacco leaves according to the MITLF value.
Further, in S1, the middle tobacco leaf at the 10 th-11 th leaf position is selected when the tobacco leaves are collected.
Further, in S1, the undercooked criterion is: the color is from green to yellow-green, the degree of yellow drop is 5-6, the main vein 1/2 turns white, and the included angle of the stem leaves is 60-70 degrees.
Further, the adequacy standard is: the color is yellow green to light yellow, the degree of yellow falling is 6-7, the main vein 2/3 and branch vein 1/3 become white, and the included angle of the stem and leaf is 70-80 degrees.
Further, the over-ripening criterion is: the color is light yellow to almost yellow, the degree of yellow falling is 8-9, the main vein 3/4 and branch vein 1/2 become white, and the included angle of stem and leaf is 80-90 degrees.
Further, in S3, the field maturity state index MITLF of the tobacco leaf is a comprehensive index based on an internal physiological index and a plurality of indexes of the color difference value of the tobacco leaf.
Further, in S3, the tobacco field maturity status index MITLF is established by a principal component comprehensive scoring method after homochemotaxis and standardization of measurement data of basic indexes.
Further, in S3, the selected principal component has a cumulative variance contribution rate of 85% or more.
Further, in S3, the weight of the principal component in MITLF is obtained by normalizing the variance contribution ratio of the principal component.
The invention provides an application of the method in evaluating the field maturity state of the flue-cured tobacco leaves, which comprises the following steps:
s1, collecting flue-cured tobacco leaves;
s2, measuring the internal physiological index and the appearance color difference index of the flue-cured tobacco leaf sample;
the intrinsic physiological index comprises chlorophyll, MDA, soluble protein, H2O2And POD enzyme activity;
the appearance color difference index comprises brightness L, red-green degree a and blue-yellow degree b;
s3, performing data conversion treatment on the indexes measured in S2, and substituting the indexes into a calculation formula of a field maturity status index (MITLF), wherein the calculation formula specifically comprises the following steps:
mitrf 0.858F 1+ 0.142F 2, where F1 and F2 are calculated as follows:
F1＝0.3715*X1+0.3806*X2+0.3669*X3+0.3898*X4+0.3861*X5+0.3872*X6+0.0
454*X7+0.3598*X8
F2＝-0.0834*X1+0.0072*X2-0.0912*X3+0.0782*X4-0.0315*X5-0.0823*X6+0.9
816*X7+0.0853*X8；
wherein, X1、X2、X3、X4、X5、X6、X7、X8Respectively represent chlorophyll, MDA, soluble protein, H2O2Final data conversion result values of POD enzyme activity, brightness L, red-green degree a and blue-yellow degree b;
distinguishing the mature state of the tobacco leaves according to the MITLF value: when the MITLF is more than or equal to 1.342 and less than or equal to 1.432, the tobacco leaves are in an under-mature state, when the MITLF is more than or equal to 1.637 and less than or equal to 1.792, the tobacco leaves are in a proper-mature state, and when the MITLF is more than or equal to 2.050 and less than or equal to 2.275, the tobacco leaves are in an over-mature state.
Compared with the prior art, the invention has the beneficial effects that:
1. the invention provides a tobacco leaf field maturity state evaluation method, which is characterized in that tobacco leaves are collected and statistically analyzed to obtain a tobacco leaf field maturity state index (MITLF), so that the field maturity state of the same type of tobacco leaves is judged according to the obtained MITLF formula.
2. The method collects field sample groups of 3 mature states of 'under-mature, proper-mature and over-mature' flue-cured tobacco leaves, measures various internal and external physiological indexes closely related to the mature state of the tobacco leaves in the samples, and establishes a tobacco leaf field mature state evaluation index (MITLF) based on the physiological indexes of fresh tobacco leaves and the color difference of the tobacco leaves by adopting a principal component comprehensive scoring method, thereby realizing objective quantitative description of the field mature state of the flue-cured tobacco leaves considering the internal and external characteristics of the flue-cured tobacco leaves.
3. According to the method, the field maturity state evaluation index MITLF of the tobacco leaves is established, 3 maturity states of under-maturity, proper maturity and over-maturity of the tobacco leaves can be effectively distinguished according to the value of the MITLF, and the field maturity state evaluation of the tobacco leaves based on the objective quantitative index MITLF is realized.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a diagram showing the cluster analysis result of the ripeness of flue-cured tobacco leaves based on the MITLF value, wherein the abscissa represents the cluster result and the ordinate represents the cluster distance.
Detailed Description
The following detailed description of specific embodiments of the invention is provided, but it should be understood that the scope of the invention is not limited to the specific embodiments. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention. The experimental methods described in the examples of the present invention are all conventional methods unless otherwise specified, and materials, reagents and the like used in the following examples are commercially available unless otherwise specified.
Example 1
The embodiment provides a field maturity state evaluation method for tobacco leaves, which comprises the following specific processes:
first, collecting sample groups with different maturity states
In the flue-cured tobacco field, according to the tobacco leaf field maturity state judgment appearance standard in the table 1, 3 kinds of tobacco leaf (10 th-11 th leaf position) samples in the maturity state of 3 kinds of middle tobacco leaves are collected to construct 3 groups respectively.
TABLE 1 appearance criteria for field maturity status of different tobacco leaves
Secondly, analyzing physiological indexes of samples with different maturation states
Measuring the internal physiological indexes (chlorophyll, MDA, soluble protein, H) of each sample capable of reflecting the tobacco leaf maturation process2O2And POD enzyme activity) and color difference in appearance including lightness L, red-green degree a, and blue-yellow degree b, as shown in Table 2.
TABLE 2 physiological and color difference index values of tobacco leaf samples in different maturity states
Note: the proteins in Table 2 are soluble proteins.
Third, establishment of field maturity state index of tobacco leaf
The invention uses the internal physiological indexes of the tobacco leaves, such as chlorophyll, MDA, soluble protein and H2O2The contents, POD enzyme activity and appearance color difference indexes of brightness L, red-green degree a and blue-yellow degree b are subjected to homochemotaxis and standardization on the index data, and then chlorophyll, MDA, soluble protein and H are respectively subjected to homochemotaxis and standardization2O2POD enzyme activity, luminance LThe final data conversion results of red-green degree a and blue-yellow degree b are recorded as X1、X2、X3、X4、X5、X6、X7、X8Then, performing principal component analysis;
a comprehensive value which reflects the field maturity state of the tobacco leaves, namely a tobacco leaf field maturity state index (MITLF) is established by adopting a principal component comprehensive scoring method, so that the digital form description and comparison of the maturity state of the cured tobacco leaves are realized.
The characteristic root and cumulative variance contribution calculations, factor load quantities for each principal component are presented in table 3, from which the most important principal component can be selected; table 4 shows the coefficients of the observation indexes obtained when the characteristic roots of the observation indexes in the principal components are solved, so that the weight of each index in a certain principal component can be calculated and determined; and finally obtaining an expression of the field Maturity Index (MITLF) of the tobacco leaves.
TABLE 3 Total variance interpretation
TABLE 4 Linear combination coefficient of indexes in principal component
According to the principle of selecting the main component, the cumulative variance contribution rate is generally required to be larger than or equal to 85%. As can be seen from Table 3, the cumulative contribution of the first principal component F1 was 77.09%, wherein the chlorophyll content, MDA content, soluble protein content, H content2O2Higher loadings of content, POD activity, L value and b value on the first principal component; the cumulative contribution rate of the second principal component F2 was 12.74%, and the color difference parameter a value had a higher load on the second principal component. The cumulative variance contribution of the principal components F1 and F2 has reached 89.83% ((>85%), so that F1 and F2 reflect the vast majority of the information for the overall index, and the other principal components F3-F8 are omitted negligibly.
From the coefficients in table 4, the score expressions of the two principal components F1 and F2 are as follows:
F1＝0.3715*X1+0.3806*X2+0.3669*X3+0.3898*X4+0.3861*X5+0.3872*X6+0.0454*X7+0.3598*X8
F2＝-0.0834*X1+0.0072*X2-0.0912*X3+0.0782*X4-0.0315*X5-0.0823*X6+0.9816*X7+0.0853*X8
the larger the variance contribution ratio is, the larger the principal component information load amount is in table 3. Therefore, according to the information in table 3, after normalization processing is performed on the variance contribution ratios of the two main components F1 and F2, the weights of the two main components in MITLF are respectively 0.858 and 0.142, and the field Maturity Index (MITLF) expression of the tobacco leaf is obtained as follows:
MITLF＝0.858*F1+0.142*F2
＝0.307*X1+0.328*X2+0.302*X3+0.346*X4+0.327*X5+0.321*X6+0.178*X7+0.321*X8formula (A).
Fourth, availability verification of field maturity state index of tobacco leaves
In order to compare and analyze the maturity state difference of each tobacco leaf sample under test, the physiological indexes and the color difference indexes of the tobacco leaf samples are averaged to realize the dimensionless of the indexes; and substituting the conversion value of the measurement data of each physiological index into a field maturity index expression (A) to obtain the field maturity index of each sample tobacco leaf, wherein the result is shown in the following table.
TABLE 5 tobacco leaf index value normalization results and Maturity Index (MITLF) values for each sample
The MITLF values of all tobacco samples in different maturity states were subjected to cluster analysis, and the results are shown in fig. 1. Shown in clustering dendrogram 1: according to the distance between the MITLF values of each sample, 36 samples can be gathered into 3 categories: samples Nos. 1-12, which were originally belonging to the "under-ripe" sample group, were collected in category 1; category 2, samples numbers 12-24 were pooled, all of which originally belonged to the "adequate" sample group; no. 24-36 samples, namely an over-mature sample group, are gathered in the category 3; this clustering is exactly consistent with the original class relationships of the samples.
Therefore, the MITLF value can accurately reflect the difference of the field maturity states among samples in a digital form, and the maturity states of the tobacco leaves can be distinguished by utilizing the MITLF value.
The invention provides a tobacco leaf field maturity state evaluation method aiming at flue-cured tobacco, the number of main components and corresponding weights in the MITLF expressions of different types of tobacco leaves are different due to the difference of internal and external characteristics among tobacco types, the MITLF expressions in the invention are only suitable for tobacco leaf field maturity state evaluation, and when researching other tobacco types, the technical thought of the invention can be used for corresponding calculation and analysis to obtain corresponding expressions.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (10)
1. A tobacco field maturity state evaluation method is characterized by comprising the following steps:
s1, respectively collecting tobacco leaf samples in under-ripeness, proper-ripeness and over-ripeness states;
s2, measuring the internal physiological indexes and the appearance color difference indexes of the tobacco leaf samples;
the intrinsic physiological index comprises chlorophyll, MDA, soluble protein, H2O2And POD enzyme activity;
the appearance color difference index comprises brightness L, red-green degree a and blue-yellow degree b;
s3, establishing a comprehensive value reflecting the field maturity state of the tobacco leaves by adopting a principal component comprehensive grading method, namely a field maturity state index (MITLF) of the tobacco leaves;
and distinguishing the mature state of the tobacco leaves according to the MITLF value.
2. The field maturity state evaluation method of tobacco leaves according to claim 1, wherein in S1, the middle tobacco leaf at the 10 th-11 th leaf position is selected when the tobacco leaves are collected.
3. The field maturity state evaluation method of tobacco leaves according to claim 2, wherein in S1, the under-maturity criterion is: the color is from green to yellow-green, the degree of yellow drop is 5-6, the main vein 1/2 turns white, and the included angle of the stem leaves is 60-70 degrees.
4. The field maturity state evaluation method of tobacco leaves according to claim 3, wherein in S1, the maturity standard is: the color is yellow green to light yellow, the degree of yellow falling is 6-7, the main vein 2/3 and branch vein 1/3 become white, and the included angle of the stem and leaf is 70-80 degrees.
5. The field maturity state evaluation method of tobacco leaves according to claim 4, wherein in S1, the over-maturity criterion is: the color is light yellow to almost yellow, the degree of yellow falling is 8-9, the main vein 3/4 and branch vein 1/2 become white, and the included angle of stem and leaf is 80-90 degrees.
6. The method for evaluating the field maturity of tobacco leaves according to claim 5, wherein in S3, the field Maturity Index (MITLF) of tobacco leaves is a comprehensive index based on multiple indexes of the internal physiological index of tobacco leaves and the color difference value of the tobacco leaves.
7. The method for evaluating the field maturity of tobacco leaves according to claim 6, wherein in S3, the field Maturity Index (MITLF) of tobacco leaves is established by a principal component comprehensive evaluation method after homochemotaxis and standardization of measurement data of basic indexes.
8. The field maturity state evaluation method of tobacco leaves according to claim 7, wherein in S3, the selected principal component has a cumulative variance contribution rate of not less than 85%.
9. The field maturity state evaluation method of tobacco leaf according to claim 8, wherein in S3, the weight of the principal component in MITLF is obtained by normalizing the variance contribution rate of the principal component.
10. Use of the method of claim 9 for evaluating the field maturity status of flue-cured tobacco leaves, comprising the steps of:
s1, collecting flue-cured tobacco leaves;
s2, measuring the internal physiological index and the appearance color difference index of the flue-cured tobacco leaf sample;
the intrinsic physiological index comprises chlorophyll, MDA, soluble protein, H2O2And POD enzyme activity;
the appearance color difference index comprises brightness L, red-green degree a and blue-yellow degree b;
s3, performing data conversion treatment on the indexes measured in S2, and substituting the indexes into a calculation formula of a field maturity status index (MITLF), wherein the calculation formula specifically comprises the following steps:
mitrf 0.858F 1+ 0.142F 2, where F1 and F2 are calculated as follows:
F1＝0.3715*X1+0.3806*X2+0.3669*X3+0.3898*X4+0.3861*X5+0.3872*X6+0.0454*X7+0.3598*X8
F2＝-0.0834*X1+0.0072*X2-0.0912*X3+0.0782*X4-0.0315*X5-0.0823*X6+0.9816*X7+0.0853*X8；
wherein, X1、X2、X3、X4、X5、X6、X7、X8Respectively represent chlorophyll, MDA, soluble protein, H2O2Final data conversion result values of POD enzyme activity, brightness L, red-green degree a and blue-yellow degree b;
distinguishing the mature state of the tobacco leaves according to the MITLF value: when the MITLF is more than or equal to 1.342 and less than or equal to 1.432, the tobacco leaves are in an under-mature state, when the MITLF is more than or equal to 1.637 and less than or equal to 1.792, the tobacco leaves are in a proper-mature state, and when the MITLF is more than or equal to 2.050 and less than or equal to 2.275, the tobacco leaves are in an over-mature state.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111176769.5A CN113919690B (en) | 2021-10-09 | 2021-10-09 | Tobacco leaf field maturity state evaluation method and application |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111176769.5A CN113919690B (en) | 2021-10-09 | 2021-10-09 | Tobacco leaf field maturity state evaluation method and application |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113919690A true CN113919690A (en) | 2022-01-11 |
| CN113919690B CN113919690B (en) | 2023-08-29 |
Family
ID=79238740
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111176769.5A Active CN113919690B (en) | 2021-10-09 | 2021-10-09 | Tobacco leaf field maturity state evaluation method and application |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113919690B (en) |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102183617A (en) * | 2011-03-22 | 2011-09-14 | 云南省烟草农业科学研究院 | Method for measuring harvest maturity of tobacco leaves |
| CN102998438A (en) * | 2012-12-13 | 2013-03-27 | 广东中烟工业有限责任公司 | Maturity analysis and judgment method for field tobacco leaves |
| CN103278458A (en) * | 2013-05-24 | 2013-09-04 | 贵州省烟草科学研究院 | Quick nondestructive test method for harvest maturity of flue-cured tobaccos |
| CN104063599A (en) * | 2014-06-26 | 2014-09-24 | 江苏中烟工业有限责任公司 | Index screening and processing method for evaluating quality of tobacco leaves |
| CN105004722A (en) * | 2015-05-18 | 2015-10-28 | 西北农林科技大学 | Method for rapidly detecting maturity of tobacco leaves |
| CN110705655A (en) * | 2019-11-05 | 2020-01-17 | 云南省烟草农业科学研究院 | Tobacco leaf classification method based on coupling of spectrum and machine vision |
| CN113222062A (en) * | 2021-05-31 | 2021-08-06 | 中国烟草总公司郑州烟草研究院 | Method, device and computer readable medium for tobacco leaf classification |
-
2021
- 2021-10-09 CN CN202111176769.5A patent/CN113919690B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102183617A (en) * | 2011-03-22 | 2011-09-14 | 云南省烟草农业科学研究院 | Method for measuring harvest maturity of tobacco leaves |
| CN102998438A (en) * | 2012-12-13 | 2013-03-27 | 广东中烟工业有限责任公司 | Maturity analysis and judgment method for field tobacco leaves |
| CN103278458A (en) * | 2013-05-24 | 2013-09-04 | 贵州省烟草科学研究院 | Quick nondestructive test method for harvest maturity of flue-cured tobaccos |
| CN104063599A (en) * | 2014-06-26 | 2014-09-24 | 江苏中烟工业有限责任公司 | Index screening and processing method for evaluating quality of tobacco leaves |
| CN105004722A (en) * | 2015-05-18 | 2015-10-28 | 西北农林科技大学 | Method for rapidly detecting maturity of tobacco leaves |
| CN110705655A (en) * | 2019-11-05 | 2020-01-17 | 云南省烟草农业科学研究院 | Tobacco leaf classification method based on coupling of spectrum and machine vision |
| CN113222062A (en) * | 2021-05-31 | 2021-08-06 | 中国烟草总公司郑州烟草研究院 | Method, device and computer readable medium for tobacco leaf classification |
Non-Patent Citations (2)
| Title |
|---|
| 史龙飞 等: "基于机器视觉技术的烤烟鲜烟叶成熟度检测", vol. 38, no. 4, pages 446 - 450 * |
| 郑璞帆: "陕南地区不同成熟度烟叶生理特性和烤后品质研究", no. 2, pages 047 - 567 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113919690B (en) | 2023-08-29 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Rolle et al. | Instrumental texture analysis parameters as markers of table-grape and winegrape quality: A review | |
| Nyasordzi et al. | Utilizing the IAD index to determine internal quality attributes of apples at harvest and after storage | |
| Delwiche et al. | Ground color measurements of peach | |
| Abdullah et al. | Automated inspection system for colour and shape grading of starfruit (Averrhoa carambola L.) using machine vision sensor | |
| CN105067532B (en) | A kind of method for differentiating sclerotinia sclerotiorum and gray mold early stage scab | |
| CN112163779A (en) | Method for evaluating quality of pear fruits | |
| KR100800597B1 (en) | Method for measuring sugar content of fuji apple and it's measuring board | |
| CN110308111B (en) | Method for rapidly predicting time for smoldering yellow tea by using near infrared spectrum technology | |
| CN111795943A (en) | Method for nondestructive detection of exogenous doped sucrose in tea based on near infrared spectrum technology | |
| CN114092839A (en) | Soybean harvesting period maturity judging method based on unmanned aerial vehicle remote sensing | |
| CN103245625A (en) | Method for nondestructive detection on maturity of fresh flue-cured tobacco leaves | |
| CN113780845A (en) | Sweet potato germplasm resource evaluation method based on multi-criterion decision | |
| CN113919690B (en) | Tobacco leaf field maturity state evaluation method and application | |
| Farrokhi et al. | Evaluation of Iranian native apple (Malus x domestica Borkh) germplasm using biochemical and morphological characteristics | |
| Vallone et al. | Quality evaluation of grapes for mechanical harvest using vis NIR spectroscopy | |
| CN108120802B (en) | Quantitative prediction method for flue-cured tobacco maturity field investigation for determining appropriate harvesting period of tobacco leaves | |
| CN111795932B (en) | Hyperspectrum-based nondestructive testing method for sugar acidity of waxberry fruits | |
| CN113029975A (en) | Method for identifying quality of freeze injury tea | |
| CN110320174B (en) | Method for rapidly predicting time for smoldering yellow tea by applying polynomial net structure artificial neural network | |
| Castel et al. | Sugar content and organic acid profiles of local apple cultivars recovered from mountain zones | |
| CN109118488B (en) | Method for identifying cold resistance of new anthurium andraeanum germplasm | |
| CN112348064A (en) | Lossless estimation system for leaf area of bighead atractylodes rhizome | |
| CN111008763A (en) | Method for evaluating jerusalem artichoke germplasm resources | |
| Stojanović et al. | Variability of sweet chestnut (Castanea sativa Mill.) in Montenegro according to morphological traits of fruits and upov descriptors | |
| CN116678836A (en) | Mango maturity judging method and mango maturity judging card |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |