CN107258149B - Cotton seed germination rate determination method and system based on near infrared spectrum - Google Patents

Cotton seed germination rate determination method and system based on near infrared spectrum Download PDF

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Publication number
CN107258149B
CN107258149B CN201710398627.0A CN201710398627A CN107258149B CN 107258149 B CN107258149 B CN 107258149B CN 201710398627 A CN201710398627 A CN 201710398627A CN 107258149 B CN107258149 B CN 107258149B
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cotton
near infrared
germination rate
infrared spectrum
cotton seed
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CN107258149A (en
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王延琴
王美霞
金云倩
周大云
匡猛
马磊
方丹
徐双娇
单峰
王爽
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Institute of Cotton Research of Chinese Academy of Agricultural Sciences
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Institute of Cotton Research of Chinese Academy of Agricultural Sciences
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    • AHUMAN NECESSITIES
    • A01AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
    • A01CPLANTING; SOWING; FERTILISING
    • A01C1/00Apparatus, or methods of use thereof, for testing or treating seed, roots, or the like, prior to sowing or planting
    • A01C1/02Germinating apparatus; Determining germination capacity of seeds or the like
    • A01C1/025Testing seeds for determining their viability or germination capacity

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  • Life Sciences & Earth Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Physiology (AREA)
  • Soil Sciences (AREA)
  • Environmental Sciences (AREA)
  • Investigating Or Analysing Materials By Optical Means (AREA)

Abstract

The invention discloses a method and a system for determining the germination rate of cotton seeds based on near infrared spectroscopy. Wherein the method comprises the following steps: acquiring cotton seeds to be measured; performing near infrared spectrum scanning on the cotton seeds to be measured to obtain near infrared spectrum data of the cotton seeds to be measured; determining the germination rate of the cotton seeds to be determined according to the near infrared spectrum data of the cotton seeds to be determined and a cotton seed germination rate determination model; wherein, the cotton seed germination rate determination model is established in advance. The system is used for executing the method. The cotton seed germination rate measuring method and system based on the near infrared spectrum can perform near infrared spectrum scanning on the cotton seeds to be measured to obtain near infrared spectrum data of the cotton seeds, and measure the germination rate of the cotton seeds to be measured according to the near infrared spectrum data and the pre-established cotton seed germination rate measuring model, so that the cotton seed germination rate measuring efficiency is improved.

Description

Cotton seed germination rate determination method and system based on near infrared spectrum
Technical Field
The invention relates to the technical field of agricultural planting, in particular to a method and a system for determining the germination rate of cotton seeds based on near infrared spectrum.
Background
The cotton seeds are used as the most basic production data and play a very important role in cotton production. In recent years, with the development and popularization of cotton planting precision technology, the requirements on the quality of cotton seeds are higher and higher.
The germination rate of cotton seeds is one of the important indexes of the quality of the cotton seeds, and the quality of the cotton seeds is continuously tested by a germination test for a long time. GB/T3543.1-3543.7-1995 "crop seed test protocol" has been published and implemented for many years, and the protocol stipulates that the cotton seed germination test requires 12 days from beginning to end, and the cotton seed production, processing and sale often require urgent need for quick understanding of the germination capacity of cotton seeds to determine whether the cotton seeds can be processed and sold.
Therefore, how to provide a method for rapidly measuring the germination rate of cotton seeds to improve the efficiency of measuring the germination rate of cotton seeds has become an important issue to be solved in the industry.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides a method and a system for determining the germination rate of cotton seeds based on near infrared spectrum.
On one hand, the invention provides a method for determining the germination rate of cotton seeds based on near infrared spectrum, which comprises the following steps:
acquiring cotton seeds to be measured;
performing near infrared spectrum scanning on the cotton seeds to be measured to obtain near infrared spectrum data of the cotton seeds to be measured;
determining the germination rate of the cotton seeds to be determined according to the near infrared spectrum data of the cotton seeds to be determined and a cotton seed germination rate determination model; wherein, the cotton seed germination rate determination model is established in advance.
In another aspect, the present invention provides a system for determining cotton seed germination rate based on near infrared spectrum, comprising:
the first acquisition unit is used for acquiring cotton seeds to be measured;
the first scanning unit is used for performing near infrared spectrum scanning on the cotton seeds to be measured to obtain near infrared spectrum data of the cotton seeds to be measured;
the measuring unit is used for measuring the germination rate of the cotton seeds to be measured according to the near infrared spectrum data of the cotton seeds to be measured and a cotton seed germination rate measuring model; wherein, the cotton seed germination rate determination model is established in advance.
The cotton seed germination rate measuring method and system based on the near infrared spectrum can perform near infrared spectrum scanning on the cotton seeds to be measured to obtain near infrared spectrum data of the cotton seeds, and measure the germination rate of the cotton seeds to be measured according to the near infrared spectrum data and the pre-established cotton seed germination rate measuring model, so that the cotton seed germination rate measuring efficiency is improved.
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, and it is obvious that the drawings in the following description are some embodiments of the present invention, and those skilled in the art can also obtain other drawings according to the drawings without creative efforts.
FIG. 1 is a schematic flow chart of a method for determining the germination percentage of cotton seeds based on near infrared spectroscopy according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart of a method for determining the germination percentage of cotton seeds based on near infrared spectroscopy according to another embodiment of the present invention;
FIG. 3 is a near infrared spectrum of a first predetermined variety of cotton seed samples of different vigor in accordance with one embodiment of the present invention;
FIG. 4 is a schematic flow chart of a method for determining the germination percentage of cotton seeds based on near infrared spectroscopy according to another embodiment of the present invention;
FIG. 5 is a schematic structural diagram of a system for determining cotton seed germination rate based on near infrared spectroscopy according to an embodiment of the present invention;
FIG. 6 is a schematic diagram of a system for determining germination percentage of cotton seeds based on near infrared spectroscopy according to another embodiment of the present invention;
FIG. 7 is a schematic structural diagram of a system for determining cotton seed germination rate based on near infrared spectroscopy according to another embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly described below with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Because the near infrared spectrum analysis has the characteristics of no damage, high speed, high efficiency, low cost, good test reproducibility, convenient measurement and the like, the near infrared spectrum analysis is increasingly applied to the determination of components such as water content, protein, starch, fat and the like in grains. The method aims to establish a mathematical model for near infrared spectrum quantitative analysis of the cotton seed germination rate by using a near infrared spectrum analysis technology, provides a new way for detecting the cotton seed germination rate, shortens the detection time for cotton seed processing and trade, improves the working efficiency, and saves precious stock resources for cotton seed resource preservation.
Fig. 1 is a schematic flow chart of a method for determining cotton seed germination rate based on near infrared spectroscopy according to an embodiment of the present invention, and as shown in fig. 1, the method for determining cotton seed germination rate based on near infrared spectroscopy provided by the present invention includes:
s101, acquiring cotton seeds to be measured;
specifically, a cotton seed germination rate measuring system (hereinafter referred to as a measuring system) based on near infrared spectrum obtains cotton seeds to be measured, namely cotton seeds to be measured. Wherein, the cotton seeds to be measured can be measured by taking 100 grains as one part and can be measured by taking several parts in addition, so as to ensure the credibility of the measurement result of the germination rate of the cotton seeds to be measured.
S102, performing near infrared spectrum scanning on the cotton seeds to be measured to obtain near infrared spectrum data of the cotton seeds to be measured;
specifically, after the cotton seeds to be measured are obtained, the measuring system performs near infrared spectrum scanning on the cotton seeds to be measured, so as to obtain near infrared spectrum data of the cotton seeds to be measured.
For example, the determination system comprises a silicon and lead sulfide dual detector, and can realize scanning in a wavelength range of 400-2498nm, perform 32 scans on each cotton seed to be determined, repeat 3 times, and use the average value of the scanning results obtained by repeating 3 times as the near infrared spectrum data of the cotton seed to be determined. Preheating and self-checking the silicon and lead sulfide double detectors before scanning, controlling the scanning temperature to be about 20 ℃ at room temperature and strictly controlling the relative humidity in the air to be below 60% when scanning the cotton seeds to be detected so as to ensure the accuracy of the scanning result.
S103, determining the germination rate of the cotton seeds to be determined according to the near infrared spectrum data of the cotton seeds to be determined and a cotton seed germination rate determination model; wherein, the cotton seed germination rate determination model is established in advance.
Specifically, after the near infrared spectrum data of the cotton seeds to be measured is obtained, the near infrared spectrum data of the cotton seeds to be measured is input into a cotton seed germination rate measuring model, and the germination rate of the cotton seeds to be measured is measured to obtain the germination rate of the cotton seeds to be measured. Wherein, the cotton seed germination rate determination model is established in advance.
The method for determining the germination rate of the cotton seeds based on the near infrared spectrum can perform near infrared spectrum scanning on the cotton seeds to be determined to obtain near infrared spectrum data of the cotton seeds, and determine the germination rate of the cotton seeds to be determined according to the near infrared spectrum data and a pre-established cotton seed germination rate determination model, so that the determination efficiency of the germination rate of the cotton seeds is improved.
Fig. 2 is a schematic flow chart of a method for determining cotton seed germination rate based on near infrared spectroscopy according to another embodiment of the present invention, as shown in fig. 2, and further, on the basis of the foregoing embodiments, the establishing of the cotton seed germination rate determination model includes:
s201, obtaining a first preset variety of cotton seed samples with different activities, wherein the cotton seed samples are prepared in advance;
specifically, the measuring system obtains a first preset type of cotton seed samples with different vigors, the cotton seed samples are prepared in advance, and the cotton seed samples with different vigors are obviously different in germination rate. Wherein the cotton seed samples of the first predetermined type with different vigor can be prepared by the following steps: the cotton seeds collected in different years and planted in different areas in preset quantity are respectively taken, the cotton seeds are dried for 24 hours at 105 ℃ in an electric heating air blowing drying box, so that the cotton seeds lose germination capacity, and then the cotton seeds losing the germination capacity are respectively mixed with normal cotton seeds according to different proportions, the normal cotton seeds can normally germinate, and the normal cotton seeds can also be collected in different years and planted in different areas. For example, 10 cotton seed samples with different seed vigor gradients are prepared by mixing the cotton seeds losing the germination capacity and the normal cotton seeds according to the proportion of 1:10, 1:20, 1:30, 1:40, 1:50, 1:60, 1:70, 1:80, 1:90 and 0:100 respectively, so that the germination rates of the 10 cotton seed samples are obviously different and can be easily distinguished. It will be appreciated that multiple aliquots may be taken for each cotton seed sample. The first preset type is selected according to an actual situation, and the embodiment of the present invention is not limited.
S202, respectively performing near infrared spectrum scanning on each cotton seed sample to obtain near infrared spectrum data of each cotton seed sample;
specifically, after the measurement system obtains the first preset type of cotton seed samples, the measurement system respectively performs near infrared spectrum scanning on each type of cotton seed samples, so as to obtain near infrared spectrum data of each type of cotton seed samples. The specific process of scanning the near infrared spectrum of each of the cotton seed samples is similar to that of step 102, and is not repeated here.
Fig. 3 is a near-infrared spectrum of a first preset variety of cotton seed samples with different activities according to an embodiment of the present invention, and as shown in fig. 3, a scanning spectrum range of each of the cotton seed samples is 400-2498nm, and as can be seen from fig. 3, a near-infrared spectrum curve of the cotton seed sample is smooth and uniform, which indicates that the dual silicon and lead sulfide detectors have good working conditions, the cotton seed sample is selected appropriately, and the spectrum shows good stability and reproducibility.
S203, respectively carrying out various pretreatments on the near infrared spectrum data of each cotton seed sample, wherein each pretreatment obtains a group of near infrared spectrum pretreatment data; each group of near infrared spectrum preprocessing data comprises the near infrared spectrum data of the preprocessed cotton seed samples of the first preset variety with different activities;
specifically, after the near-infrared spectrogram data of the cotton seed sample of the first preset type is acquired, since the near-infrared spectrogram data of the cotton seed sample shows a certain dispersion and has a certain baseline shift and drift, it is necessary to preprocess the acquired near-infrared spectrogram data of the cotton seed sample, so as to filter noise and improve a signal-to-noise ratio, and eliminate interference of the baseline shift and the drift. Wherein the preprocessing comprises mathematical processing and scattering processing, and the mathematical processing comprises derivation processing and smoothing processing. The mathematical treatment and the scattering treatment can be performed in various ways, and different mathematical treatments and different scattering treatments can be combined to perform various pretreatments on the near-infrared spectrogram data of each cotton seed sample respectively, each pretreatment obtains a group of near-infrared spectrogram pretreatment data, and each group of near-infrared spectrogram pretreatment data comprises the pretreated near-infrared spectrogram data of the cotton seed samples of the first preset type with different activities.
For example, the derivation process can be selecting a data interval of a derivation process of the near infrared spectrogram data of the cotton seed sample, taking a first derivative, taking a second derivative, taking a third derivative, etc., and the data interval of the derivation process can be 0, 4, 6, 8, 10, etc.; the smoothing treatment can be selected to be only performed once, or both the first smoothing treatment and the second smoothing treatment are performed; the scattering process may be Standard Normal variable transformation (SNV) or segmented Multivariate scatter Correction (Piece2 with Multivariate scatter Correction (PMSC), Standard Multivariate Scatter Correction (SMSC), Weighted Multivariate Scatter Correction (WMSC) or Inverse Multivariate Scatter Correction (IMSC), etc. Wherein, the mathematical processing and the scattering processing can be realized by chemometrics analysis software.
S204, respectively establishing a plurality of near infrared correction models of the cotton seed germination rate according to the near infrared spectrum preprocessing data of each group and an improved partial least square method;
specifically, the determination system establishes a cotton seed germination rate near-infrared correction model corresponding to a group of near-infrared spectrum preprocessing data by using an improved partial least square method according to the obtained group of near-infrared spectrum preprocessing data, the near-infrared spectrum preprocessing data has multiple groups, and a plurality of cotton seed germination rate near-infrared correction models corresponding to each group of near-infrared spectrum preprocessing data can be respectively established. The establishment of the near-infrared correction model of the cotton seed germination rate can be realized by the chemometrics analysis software.
S205, obtaining a cotton seed germination rate determination model to be verified from the plurality of cotton seed germination rate near-infrared correction models according to the interactive verification standard deviation and the interactive verification decision coefficient;
specifically, the determination system calculates the interactive validation standard deviation (SECV) and the interactive validation decision coefficient (1-VR) of each cotton seed germination rate near-infrared correction model, and selects the cotton seed germination rate near-infrared correction model with the lowest SECV value and the highest 1-VR value as the cotton seed germination rate determination model to be verified.
S206, if the cotton seed germination rate determination model to be verified is judged to pass the verification, taking the cotton seed germination rate determination model to be verified as the cotton seed germination rate determination model.
Specifically, the determination system verifies the cotton seed germination rate determination model to be verified, and if the cotton seed germination rate determination model to be verified passes the verification, the cotton seed germination rate determination model to be verified is used as the cotton seed germination rate determination model to determine the germination rate of the cotton seed to be determined.
For example, the measuring system obtains 10 parts of cotton seeds, respectively performs near infrared spectrum scanning on the 10 parts of cotton seeds, and measures the germination rate of the 10 parts of cotton seeds according to the cotton seed germination rate measuring model to be verified, so as to obtain the measured germination rate of each part of cotton seeds. And then acquiring the real germination rates of the 10 cotton seeds, carrying out paired data double-tail t test on the real germination rates of the 10 cotton seeds and the measured germination rates, and if the test result shows that the real germination rates of the 10 cotton seeds and the measured germination rates of the 10 cotton seeds have no significant difference, taking the cotton seed germination rate measurement model to be verified as the cotton seed germination rate measurement model through verification for measuring the germination rates of the cotton seeds to be tested. Wherein, the real germination rate of the 10 parts of cotton seeds can be obtained by performing a germination test on the 10 parts of cotton seeds subjected to near infrared spectrum scanning according to the method in GB/T3543.1 □ 3543.7-1995 'crop seed inspection regulation'.
The specific example of the establishment of the cotton seed germination rate measurement model is described below.
Preparing 10 cotton seed samples with different activities, wherein the ratio of the cotton seeds losing germination capacity to the normal cotton seeds in each cotton seed sample is 1:10, 1:20, 1:30, 1:40, 1:50, 1:60, 1:70, 1:80, 1:90 and 0:100 respectively, the number of the cotton seeds in each cotton seed sample is 100, and 4 parts of each cotton seed sample are prepared. The measuring system obtains the cotton seed samples with 10 different activities.
The measuring system utilizes a silicon and lead sulfide dual detector to perform near infrared spectrum scanning on each 4 cotton seed samples, the scanning is repeated for three times, the average value of the scanning results is used as the near infrared spectrum data of the cotton seed samples, and the near infrared spectrum data of 10 cotton seed samples can be obtained.
The determination system utilizes chemometrics analysis software to respectively carry out various pretreatments on the near infrared spectrum data of each cotton seed sample, each pretreatment can obtain a group of near infrared spectrum pretreatment data, and each group of near infrared spectrum pretreatment data comprises results of the pretreatment on the near infrared spectrum data of 10 cotton seed samples. The determination system establishes a cotton seed germination rate near-infrared correction model by using a chemometrics analysis software according to a group of acquired near-infrared spectrum preprocessing data and an improved partial least square method, and how many cotton seed germination rate near-infrared correction models can be established according to how many groups of near-infrared spectrum preprocessing data exist.
For a plurality of near-infrared correction models of the cotton seed germination rate, one model is selected for measuring the germination rate of the cotton seed to be measured, and the measuring system calculates the cross validation decision coefficient (1-VR) and the cross validation standard deviation (SECV) of each near-infrared correction model of the cotton seed germination rate. As shown in Table 1, under different mathematical treatments, the cotton seed germination rate near infrared correction model without secondary smoothing has the maximum 1-VR and the minimum SECV after mathematical treatment (3,12,12,1), namely 3-order derivative treatment, the data interval of the derivative treatment is 12, the number of primary smooth points is 12. And selecting the cotton seed germination rate near-infrared correction model subjected to mathematical treatment (3,12,12,1), and performing different error analyses of scattering treatment, wherein table 2 shows that the cotton seed germination rate near-infrared correction model has the maximum 1-VR and the minimum SECV under the condition of the scattering treatment WMSC. Therefore, a near infrared correction model of cotton seed germination rate established by a set of near infrared spectrum preprocessing data obtained by mathematical processing (3,12,12,1) and scattering processing WMSC is selected as a cotton seed germination rate determination model to be verified.
TABLE 1 influence of different mathematical treatments on different near-IR correction models for cotton seed germination rates
TABLE 2 influence of different scattering treatments on different cotton seed germination rates near-IR calibration models
After the cotton seed germination rate determination model to be verified is obtained, the cotton seed germination rate determination model to be verified needs to be verified. The determination system acquires 10 parts of cotton seeds, respectively performs near infrared spectrum scanning on the 10 parts of cotton seeds, and determines the germination rate of the 10 parts of cotton seeds according to the cotton seed germination rate determination model to be verified to acquire the determination germination rate of each part of cotton seeds. Then, the real germination rates of the 10 cotton seeds are obtained, the real germination rates and the measured germination rates of the 10 cotton seeds are subjected to paired data two-tail t test, the test results are shown in table 3, the measured germination rate of the 10 cotton seeds is 87.19%, the real germination rate is 87.30%, the t value is 0.33, and the significance level p is 0.747>0.05, which indicates that the real germination rates and the measured germination rates of the 10 cotton seeds have no significant difference, and the cotton seed germination rate measurement model to be verified can be used as the cotton seed germination rate measurement model through verification and is used for measuring the germination rates of the cotton seeds to be determined. Wherein, the real germination rate of the 10 parts of cotton seeds can be obtained by performing a germination test on the 10 parts of cotton seeds subjected to near infrared spectrum scanning according to the method in GB/T3543.1-3543.7-1995 'crop seed inspection regulation'.
TABLE 3 significance test of measured and actual germination rates of cotton seeds
Fig. 4 is a schematic flow chart of a method for measuring cotton seed germination percentage based on near infrared spectrum according to another embodiment of the present invention, as shown in fig. 4, and on the basis of the above embodiments, the step of verifying the cotton seed germination percentage measurement model further includes:
s401, acquiring a preset number of cotton seeds to be verified;
specifically, in order to verify the cotton seed germination rate determination model, the determination system obtains a preset number of cotton seeds to be verified, wherein the cotton seeds to be verified are seeds capable of normally germinating, and the germination rate is unknown. The preset number of the parts is selected according to actual conditions, and the embodiment of the invention is not limited.
S402, performing near infrared spectrum scanning on the preset number of the cotton seeds to be verified to obtain near infrared spectrum data of the preset number of the cotton seeds to be verified;
specifically, after the preset number of the cotton seeds to be verified is obtained, the near infrared spectrum scanning is performed on the preset number of the cotton seeds to be verified by the measuring system, so that the near infrared spectrum data of the preset number of the cotton seeds to be verified can be obtained. The specific process of the preset number of cotton seeds to be verified is similar to that in step 102, and is not described herein again.
S403, respectively carrying out germination rate determination on a preset number of cotton seeds to be verified according to the near infrared spectrum data of the preset number of cotton seeds to be verified and the cotton seed germination rate determination model to obtain the determined germination rate of the preset number of cotton seeds to be verified;
specifically, after the near infrared spectrum data of the preset number of the cotton seeds to be verified are obtained, the measuring system respectively inputs the near infrared spectrum data of the preset number of the cotton seeds to be verified into the cotton seed germination rate measuring model to measure the germination rate of the cotton seeds to be verified, so as to obtain the germination rate of the preset number of the cotton seeds to be verified.
S404, if the fact that the determined germination rate of the preset number of the cotton seeds to be verified is not significantly different from the actual germination rate is judged, the cotton seed germination rate determination model to be verified passes verification; and performing a germination test on the preset parts of cotton seeds to be verified by using a traditional chemical germination rate measuring method to obtain the real germination rate.
Specifically, the determination system performs paired data two-tailed t test on the determination germination percentage of the preset number of the cotton seeds to be verified and the real germination percentage of the preset number of the cotton seeds to be verified to obtain a test result, and if the test result indicates that the determination germination percentage of the preset number of the cotton seeds to be verified and the real germination percentage of the preset number of the cotton seeds to be verified have no significant difference, the determination model of the germination percentage of the cotton seeds to be verified passes the verification and can be used as the determination model of the germination percentage of the cotton seeds to be verified to determine the germination percentage of the fixed cotton seeds to be verified. And performing a germination test on the preset parts of cotton seeds to be verified by using a traditional chemical germination rate measuring method to obtain the real germination rate.
On the basis of the above embodiments, further, the preparation of the cotton seed sample comprises:
and obtaining cotton seeds losing germination capacity, and mixing the cotton seeds losing germination capacity with normal cotton seeds according to different proportions to obtain cotton seed samples with different seed vigor gradients.
Specifically, the cotton seeds collected in different years and planted in different areas in preset quantity are respectively taken, the cotton seeds are dried for 24 hours at 105 ℃ in an electric heating air blowing drying oven, so that the cotton seeds lose germination capacity, and then the cotton seeds losing the germination capacity are respectively mixed with normal cotton seeds according to different proportions, the normal cotton seeds can normally germinate, the normal cotton seeds can also be the cotton seeds collected in different years and planted in different areas, and therefore the cotton seed samples with different seed vigor gradients are obtained. For example, the cotton seeds with the germination capacity are mixed with the normal cotton seeds according to the proportion of 1:10, 1:20, 1:30, 1:40, 1:50, 1:60, 1:70, 1:80, 1:90 and 0:100 respectively to prepare 10 cotton seed samples with different seed vigor gradients. Thus, the germination rates of each of the cotton seed samples can be clearly distinguished, and the cotton seed samples can be easily distinguished. It will be appreciated that multiple aliquots may be taken for each cotton seed sample.
On the basis of the above embodiments, further, when the near infrared spectrum scanning is performed on the cotton seeds to be measured, the scanning temperature is controlled to be 20 ℃ at room temperature and the relative humidity of air is controlled to be below 60%.
Specifically, when the measuring system performs near infrared spectrum scanning on the cotton seeds to be measured, the scanning temperature is controlled to be 20 ℃ at room temperature and the relative air humidity is controlled to be below 60%, so that the accuracy of the obtained near infrared spectrum data of the cotton seeds to be measured is ensured.
Fig. 5 is a schematic structural diagram of a system for measuring cotton seed germination percentage based on near infrared spectrum according to an embodiment of the present invention, and as shown in fig. 5, the system for measuring cotton seed germination percentage based on near infrared spectrum according to the present invention includes a first obtaining unit 501, a first scanning unit 502, and a measuring unit 503, wherein:
the first obtaining unit 501 is used for obtaining cotton seeds to be measured; the first scanning unit 502 is configured to perform near infrared spectrum scanning on the cotton seeds to be measured to obtain near infrared spectrum data of the cotton seeds to be measured; the determination unit 503 is configured to perform germination rate determination on the cotton seeds to be determined according to the near infrared spectrum data of the cotton seeds to be determined and a cotton seed germination rate determination model; wherein, the cotton seed germination rate determination model is established in advance.
Specifically, the first acquiring unit 501 acquires cotton seeds whose germination percentage needs to be measured, i.e., cotton seeds to be measured. Wherein, the cotton seeds to be measured can be measured by taking 100 grains as one part and can be measured by taking several parts in addition, so as to ensure the credibility of the measurement result of the germination rate of the cotton seeds to be measured.
After the cotton seeds to be measured are obtained, the first scanning unit 502 performs near infrared spectrum scanning on the cotton seeds to be measured, so as to obtain near infrared spectrum data of the cotton seeds to be measured.
After the near infrared spectrum data of the cotton seed to be measured is obtained, the measuring unit 503 inputs the near infrared spectrum data of the cotton seed to be measured into a cotton seed germination rate measuring model, and measures the germination rate of the cotton seed to be measured to obtain the germination rate of the cotton seed to be measured. Wherein, the cotton seed germination rate determination model is established in advance.
The cotton seed germination rate measuring system based on the near infrared spectrum can perform near infrared spectrum scanning on the cotton seeds to be measured to obtain near infrared spectrum data of the cotton seeds, and measure the germination rate of the cotton seeds to be measured according to the near infrared spectrum data and the pre-established cotton seed germination rate measuring model, so that the cotton seed germination rate measuring efficiency is improved.
Fig. 6 is a schematic structural diagram of a system for measuring cotton seed germination percentage based on near infrared spectrum according to another embodiment of the present invention, as shown in fig. 6, on the basis of the above embodiment, further, the system provided by the present invention further includes a second obtaining unit 504, a second scanning unit 505, a preprocessing unit 506, a creating unit 507, a selecting unit 508 and a determining unit 509, wherein:
the second obtaining unit 504 is configured to obtain a first preset variety of cotton seed samples with different activities, where the cotton seed samples are prepared in advance; the second scanning unit 505 is configured to perform near infrared spectrum scanning on each cotton seed sample, respectively, to obtain near infrared spectrum data of each cotton seed sample; the preprocessing unit 506 is configured to perform multiple kinds of preprocessing on the near infrared spectrum data of each cotton seed sample, where each preprocessing obtains a group of near infrared spectrum preprocessing data; each group of near infrared spectrum preprocessing data comprises the near infrared spectrum data of the preprocessed cotton seed samples of the first preset variety with different activities; the establishing unit 507 is used for respectively establishing a plurality of near infrared correction models of cotton seed germination rates according to each group of near infrared spectrum preprocessing data and an improved partial least square method; the selecting unit 508 is configured to obtain a cotton seed germination rate determination model to be verified from the plurality of cotton seed germination rate near-infrared correction models according to the cross-validation standard deviation and the cross-validation decision coefficient; the determining unit 509 is configured to, if it is determined that the cotton seed germination rate determination model to be verified passes verification, use the cotton seed germination rate determination model to be verified as the cotton seed germination rate determination model.
Specifically, the second obtaining unit 504 obtains a first preset variety of cotton seed samples with different vigors, which are prepared in advance, and the germination rates of the cotton seed samples with different vigors are obviously different. Wherein the cotton seed samples of the first predetermined type with different vigor can be prepared by the following steps: the cotton seeds collected in different years and planted in different areas in preset quantity are respectively taken, the cotton seeds are dried for 24 hours at 105 ℃ in an electric heating air blowing drying box, so that the cotton seeds lose germination capacity, and then the cotton seeds losing the germination capacity are respectively mixed with normal cotton seeds according to different proportions, the normal cotton seeds can normally germinate, and the normal cotton seeds can also be collected in different years and planted in different areas. For example, 10 cotton seed samples with different seed vigor gradients are prepared by mixing the cotton seeds losing the germination capacity and the normal cotton seeds according to the proportion of 1:10, 1:20, 1:30, 1:40, 1:50, 1:60, 1:70, 1:80, 1:90 and 0:100 respectively, so that the germination rates of the 10 cotton seed samples are obviously different and can be easily distinguished. It will be appreciated that multiple aliquots may be taken for each cotton seed sample. The first preset type is selected according to an actual situation, and the embodiment of the present invention is not limited.
After the first preset type of cotton seed samples are obtained, the second scanning unit 505 performs near infrared spectrum scanning on each type of cotton seed samples, so as to obtain near infrared spectrum data of each type of cotton seed samples.
After the near-infrared spectrogram data of the cotton seed sample of the first preset type is acquired, since the near-infrared spectrogram data of the cotton seed sample shows a certain dispersion and has a certain baseline shift and drift, the preprocessing unit 506 needs to preprocess the acquired near-infrared spectrogram data of the cotton seed sample, so as to filter noise, improve the signal-to-noise ratio, and eliminate the interference of the baseline shift and the drift. Wherein the preprocessing comprises mathematical processing and scattering processing, and the mathematical processing comprises derivation processing and smoothing processing. The mathematical treatment and the scattering treatment can be performed in various ways, and different mathematical treatments and different scattering treatments can be combined to perform various pretreatments on the near-infrared spectrogram data of each cotton seed sample respectively, each pretreatment obtains a group of near-infrared spectrogram pretreatment data, and each group of near-infrared spectrogram pretreatment data comprises the pretreated near-infrared spectrogram data of the cotton seed samples of the first preset type with different activities.
The establishing unit 507 establishes a cotton seed germination rate near-infrared correction model corresponding to a group of near-infrared spectrum preprocessing data by using an improved partial least square method according to the obtained group of near-infrared spectrum preprocessing data, wherein the near-infrared spectrum preprocessing data has a plurality of groups, and a plurality of cotton seed germination rate near-infrared correction models corresponding to each group of near-infrared spectrum preprocessing data can be respectively established.
The selecting unit 508 calculates the cross validation standard deviation (SECV) and the cross validation decision coefficient (1-VR) of each cotton seed germination rate near-infrared correction model, and selects the cotton seed germination rate near-infrared correction model with the lowest SECV value and the highest 1-VR value as the cotton seed germination rate determination model to be validated.
The determining unit 509 verifies the cotton seed germination rate determination model, and if the cotton seed germination rate determination model passes the verification, the determining unit determines the germination rate of the cotton seed to be determined by using the cotton seed germination rate determination model as the cotton seed germination rate determination model.
Fig. 7 is a schematic structural diagram of a system for measuring cotton seed germination percentage based on near infrared spectrum according to another embodiment of the present invention, as shown in fig. 7, and further, the determining unit 509 includes an acquiring subunit 5091, a scanning subunit 5092, a measuring subunit 5093 and a determining subunit 5094, in which:
the acquiring subunit 5091 is configured to acquire a preset number of cotton seeds to be verified; the scanning subunit 5092 is configured to perform near infrared spectrum scanning on the preset number of the cotton seeds to be verified, so as to obtain near infrared spectrum data of the preset number of the cotton seeds to be verified; the measurement stator unit 5093 is configured to respectively perform germination rate measurement on a preset number of cotton seeds to be verified according to the near infrared spectrum data of the preset number of cotton seeds to be verified and the germination rate measurement model of the cotton seeds to be verified, so as to obtain a preset number of measured germination rates of the cotton seeds to be verified; the judging subunit 5094 is configured to, if it is judged that there is no significant difference between the determined germination rates of the preset number of the cotton seeds to be verified and the actual germination rates, pass verification of the cotton seed germination rate determination model to be verified; and performing a germination test on the preset parts of cotton seeds to be verified by using a traditional chemical germination rate measuring method to obtain the real germination rate.
Specifically, in order to verify the cotton seed germination rate measurement model, the obtaining subunit 5091 obtains a preset number of cotton seeds to be verified, which are seeds that can normally germinate and whose germination rates are unknown. The preset number of the parts is selected according to actual conditions, and the embodiment of the invention is not limited.
After the preset number of the cotton seeds to be verified are obtained, the scanning subunit 5092 performs near infrared spectrum scanning on the preset number of the cotton seeds to be verified, so as to obtain near infrared spectrum data of the preset number of the cotton seeds to be verified.
After the preset number of parts of near infrared spectrum data of the cotton seeds to be verified are obtained, the measuring stator unit 5093 inputs the preset number of parts of near infrared spectrum data of the cotton seeds to be verified into the cotton seed germination rate measuring model, measures the germination rate of the cotton seeds to be verified, and obtains the germination rate of the preset number of parts of cotton seeds to be verified.
The judging subunit 5094 performs paired data two-tailed t-test on the determined germination percentage of the preset number of the cotton seeds to be verified and the actual germination percentage of the preset number of the cotton seeds to be verified to obtain a test result, and if the test result indicates that the determined germination percentage of the preset number of the cotton seeds to be verified and the actual germination percentage of the preset number of the cotton seeds to be verified have no significant difference, the cotton seed germination percentage determination model to be verified passes the verification and can be used as the cotton seed germination percentage determination model for determining the germination percentage of the fixed cotton seeds to be tested. And performing a germination test on the preset parts of cotton seeds to be verified by using a traditional chemical germination rate measuring method to obtain the real germination rate.
On the basis of the above embodiments, further, the preparation of the cotton seed sample comprises:
and obtaining cotton seeds losing germination capacity, and mixing the cotton seeds losing germination capacity with normal cotton seeds according to different proportions to obtain cotton seed samples with different seed vigor gradients.
Specifically, the cotton seeds collected in different years and planted in different areas in preset quantity are respectively taken, the cotton seeds are dried for 24 hours at 105 ℃ in an electric heating air blowing drying oven, so that the cotton seeds lose germination capacity, and then the cotton seeds losing the germination capacity are respectively mixed with normal cotton seeds according to different proportions, the normal cotton seeds can normally germinate, the normal cotton seeds can also be the cotton seeds collected in different years and planted in different areas, and therefore the cotton seed samples with different seed vigor gradients are obtained. For example, the cotton seeds with the germination capacity are mixed with the normal cotton seeds according to the proportion of 1:10, 1:20, 1:30, 1:40, 1:50, 1:60, 1:70, 1:80, 1:90 and 0:100 respectively to prepare 10 cotton seed samples with different seed vigor gradients. Thus, the germination rates of each of the cotton seed samples can be clearly distinguished, and the cotton seed samples can be easily distinguished. It will be appreciated that multiple aliquots may be taken for each cotton seed sample.
On the basis of the above embodiments, further, when the near infrared spectrum scanning is performed on the cotton seeds to be measured, the scanning temperature is controlled to be 20 ℃ at room temperature and the relative humidity of air is controlled to be below 60%.
Specifically, when the measuring system performs near infrared spectrum scanning on the cotton seeds to be measured, the scanning temperature is controlled to be 20 ℃ at room temperature and the relative air humidity is controlled to be below 60%, so that the accuracy of the obtained near infrared spectrum data of the cotton seeds to be measured is ensured.
The embodiment of the measurement system provided by the present invention may be specifically configured to execute the processing flow of each of the method embodiments, and the functions thereof are not described herein again, and refer to the detailed description of the method embodiments.
The above-described system embodiments are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer system (which may be a personal computer, a server, or a network system, etc.) to execute the methods described in the embodiments or some parts of the embodiments.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.

Claims (6)

1. A cotton seed germination rate measuring method based on near infrared spectrum is characterized in that the method is realized by a cotton seed germination rate measuring system based on near infrared spectrum, and the cotton seed germination rate measuring system comprises a silicon and lead sulfide dual detector;
the method specifically comprises the following steps:
acquiring cotton seeds to be measured;
performing near infrared spectrum scanning on the cotton seeds to be measured to obtain near infrared spectrum data of the cotton seeds to be measured;
determining the germination rate of the cotton seeds to be determined according to the near infrared spectrum data of the cotton seeds to be determined and a cotton seed germination rate determination model; wherein, the cotton seed germination rate determination model is established in advance;
the establishment of the cotton seed germination rate determination model comprises the following steps:
obtaining a first preset type of cotton seed sample with different germination rates, wherein the cotton seed sample is prepared in advance;
respectively performing near infrared spectrum scanning on each cotton seed sample to obtain near infrared spectrum data of each cotton seed sample;
respectively carrying out multiple kinds of pretreatment on the near infrared spectrum data of each cotton seed sample, wherein each pretreatment obtains a group of near infrared spectrum pretreatment data; each group of near infrared spectrum preprocessing data comprises the near infrared spectrum data of the preprocessed cotton seed samples of the first preset type with different germination rates;
respectively establishing a plurality of near infrared correction models of cotton seed germination rates according to the near infrared spectrum preprocessing data of each group and an improved partial least square method;
obtaining a cotton seed germination rate determination model to be verified from the plurality of cotton seed germination rate near-infrared correction models according to the interactive verification standard deviation and the interactive verification decision coefficient;
if the cotton seed germination rate determination model to be verified is judged to pass the verification, taking the cotton seed germination rate determination model to be verified as the cotton seed germination rate determination model;
the preparation of the cotton seed sample comprises the following steps:
respectively taking a preset number of cotton seeds collected and planted in different years and different areas, drying the cotton seeds in an electric heating air blast drying oven at 105 ℃ for 24 hours to enable the cotton seeds to lose germination capacity, and then respectively mixing the cotton seeds losing germination capacity with normal cotton seeds according to different proportions.
2. The method of claim 1, wherein the step of validating the cotton seed germination rate measurement model to be validated comprises:
acquiring a preset number of cotton seeds to be verified;
performing near infrared spectrum scanning on the preset number of parts of cotton seeds to be verified to obtain near infrared spectrum data of the preset number of parts of cotton seeds to be verified;
respectively measuring the germination rates of the preset parts of cotton seeds to be verified according to the near infrared spectrum data of the preset parts of cotton seeds to be verified and the germination rate measuring model of the cotton seeds to be verified, and obtaining the measured germination rates of the preset parts of cotton seeds to be verified;
if the fact that the determined germination rate of the preset number of the cotton seeds to be verified is not significantly different from the real germination rate is judged, the cotton seed germination rate determination model to be verified passes verification; and performing a germination test on the preset parts of cotton seeds to be verified by using a traditional chemical germination rate measuring method to obtain the real germination rate.
3. The method as claimed in any one of claims 1 to 2, wherein the scanning temperature is controlled at room temperature of 20 ℃ and the relative humidity of air is controlled below 60% when the cotton seed to be tested is scanned by near infrared spectroscopy.
4. A cotton seed germination rate measuring system based on near infrared spectrum is characterized by comprising:
the first acquisition unit is used for acquiring cotton seeds to be measured;
the first scanning unit is used for performing near infrared spectrum scanning on the cotton seeds to be measured to obtain near infrared spectrum data of the cotton seeds to be measured;
the measuring unit is used for measuring the germination rate of the cotton seeds to be measured according to the near infrared spectrum data of the cotton seeds to be measured and a cotton seed germination rate measuring model; wherein, the cotton seed germination rate determination model is established in advance;
further comprising:
a second acquisition unit for acquiring a cotton seed sample of a first preset type with different germination rates, wherein the cotton seed sample is prepared in advance;
the second scanning unit is used for respectively performing near infrared spectrum scanning on each cotton seed sample to obtain near infrared spectrum data of each cotton seed sample;
the pretreatment unit is used for respectively carrying out various pretreatments on the near infrared spectrum data of each cotton seed sample, and each pretreatment obtains a group of near infrared spectrum pretreatment data; each group of near infrared spectrum preprocessing data comprises the near infrared spectrum data of the preprocessed cotton seed samples of the first preset type with different germination rates;
the establishing unit is used for respectively establishing a plurality of near infrared correction models of the cotton seed germination rate according to each group of near infrared spectrum preprocessing data and an improved partial least square method;
the selecting unit is used for obtaining a cotton seed germination rate measuring model to be verified from the plurality of cotton seed germination rate near-infrared correction models according to the interactive verification standard deviation and the interactive verification decision coefficient;
the judging unit is used for taking the cotton seed germination rate measuring model to be verified as the cotton seed germination rate measuring model if the cotton seed germination rate measuring model to be verified is judged to pass the verification;
the preparation of the cotton seed sample comprises the following steps:
respectively taking a preset number of cotton seeds collected and planted in different years and different areas, drying the cotton seeds in an electric heating air blast drying oven at 105 ℃ for 24 hours to enable the cotton seeds to lose germination capacity, and then respectively mixing the cotton seeds losing germination capacity with normal cotton seeds according to different proportions.
5. The system according to claim 4, wherein the judging unit comprises:
the acquiring subunit is used for acquiring a preset number of cotton seeds to be verified;
the scanning subunit is used for performing near infrared spectrum scanning on the preset number of the cotton seeds to be verified to obtain near infrared spectrum data of the preset number of the cotton seeds to be verified;
the determining subunit is used for respectively determining the germination rates of the preset portions of the cotton seeds to be verified according to the near infrared spectrum data of the preset portions of the cotton seeds to be verified and the cotton seed germination rate determining model to be verified, so as to obtain the determined germination rates of the preset portions of the cotton seeds to be verified;
the judging subunit is used for judging that the cotton seed germination rate measuring model to be verified passes verification if the determined germination rate of the preset number of the cotton seeds to be verified is not significantly different from the real germination rate; and performing a germination test on the preset parts of cotton seeds to be verified by using a traditional chemical germination rate measuring method to obtain the real germination rate.
6. The system according to any one of claims 4 to 5, wherein during the near infrared spectral scanning of the cotton seeds to be tested, the scanning temperature is controlled at room temperature of 20 ℃ and the relative humidity of air is controlled below 60%.
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