Rapid seed vigor detection device and method based on near infrared transmission spectrum

Abstract

The invention discloses a rapid seed activity detection device and method based on near-infrared transmission spectrums.The detection device is provided with a reference light path and a test light path, the two light paths are mutually independent and cooperatively work, and the detection device comprises a near-infrared light source used for emitting infrared light; the light splitting element is connected to the near-infrared light source through an optical fiber; the infrared detector is connected to the light splitting element through a Y-shaped optical fiber and is used for measuring a spectral signal; and the data processing unit is in signal connection with the infrared detector and can perform normalization processing on the measured near infrared spectrum signal and calculate the RMS value of the spectrum. According to the method, a traditional complex modeling process is abandoned, the method can be widely applied to activity detection of various types of seeds such as rice and corn, and an efficient and accurate detection means is provided for the fields of agricultural production and seed research. The method has important practical significance for improving the seed quality detection efficiency and guaranteeing the safety of seeds for agricultural production.

Description

Technical Field

[0001] The present invention relates to the technical field of agricultural production, and in particular to a rapid seed vitality detection device and method based on near-infrared transmission spectroscopy. Background Art

[0002] As agricultural production moves toward modernization and refinement, seed quality, as the foundation of crop growth, plays a crucial role in determining crop yield and quality. Seed vigor, a key indicator of seed quality, is directly linked to the speed and uniformity of crop emergence, as well as its subsequent growth potential throughout the entire growth cycle, profoundly impacting ultimate crop yield.

[0003] Traditional seed viability detection methods, such as the classic germination test, can more intuitively reflect the germination ability of seeds, but this method has obvious disadvantages: First, the germination test is time-consuming, usually requiring several days or even weeks to obtain results, which cannot meet the urgent needs of modern seed production and circulation for rapid testing; second, the germination test is a destructive test. Once the seeds are used for germination tests, they can no longer be put into actual production, resulting in a waste of seed resources.

[0004] With the continuous advancement of science and technology, a number of seed viability detection methods based on spectral technology have been gradually made public. However, most existing methods of this type have complex modeling processes. During this modeling process, it is necessary to collect a large number of seed samples from different varieties and batches, and perform multi-dimensional testing and analysis on them to establish a mathematical model linking seed spectral characteristics and viability. This not only requires extremely high professional knowledge and skills from the operator, but also the modeling process is cumbersome, time-consuming and labor-intensive. More importantly, due to differences in seed growth environments and variety characteristics in different regions, the established models are less universal, making them difficult to promote and apply on a large scale.

[0005] Based on the above technical problems, technical personnel in this field urgently need to develop a rapid seed vitality detection device and method based on near-infrared transmission spectroscopy that is easy to operate, has a fast detection speed, does not damage seeds, and does not require complex modeling. Summary of the Invention

[0006] The present invention aims to provide a rapid seed viability detection device and method based on near-infrared transmission spectroscopy. This approach aims to address a series of bottlenecks commonly encountered in existing seed viability detection technologies, including long detection times, seed damage, and complex modeling. By designing a detection process and constructing an efficient device structure, rapid, accurate, and non-destructive seed viability assessment is achieved, bringing a new solution to the field of seed viability detection.

[0007] In order to achieve the above object, the present invention provides the following technical solutions:

[0008] The present invention provides a rapid seed vitality detection device based on near-infrared transmission spectroscopy. The detection device has a reference light path and a test light path, and the two light paths work independently and collaboratively. The detection device includes:

[0009] A near-infrared light source for emitting infrared light;

[0010] A spectroscopic element connected to the near-infrared light source via an optical fiber, wherein the near-infrared light emitted by the near-infrared light source enters the spectroscopic element through the optical fiber, and the spectroscopic element is capable of guiding the near-infrared light to the reference optical path and the test optical path;

[0011] an infrared detector connected to the spectroscopic element via a Y-shaped optical fiber, for measuring spectral signals;

[0012] The detection device also includes:

[0013] The data processing unit is connected to the infrared detector signal, and can perform normalization processing on the measured near-infrared spectrum signal, calculate the RMS value of the spectrum, and judge the seed vitality by comparing the RMS value.

[0014] Furthermore, the light splitting element comprises a first optical fiber collimator, a second optical fiber collimator and a third optical fiber collimator, and the optical fiber is connected to the light splitting element through the first optical fiber collimator.

[0015] The present invention provides a rapid seed viability detection method based on near-infrared transmission spectroscopy, which comprises the following steps:

[0016] Step 1: Seed screening and preparation: Use an X-ray inspection device to inspect the seeds and select seeds with intact germ structures and no defects such as cavities, insect bites, or cracks. Among these structurally intact seeds, further select seeds with plump appearance and normal color as reference seeds. Subsequently, these reference seeds are placed in the reference light path of the near-infrared transmission spectroscopy measurement device to ensure that the seeds are placed accurately.

[0017] Step 2: Spectral Measurement: The optical path uses high-precision optical lenses and a fiber optic transmission system to ensure stable and efficient transmission of near-infrared light. The near-infrared light emitted by the near-infrared light source first passes through the optical fiber. The optical fiber is connected to the spectrometer through a first fiber collimator. The spectrometer can guide the near-infrared light to the reference and test optical paths.

[0018] After passing through the reference optical path and the test optical path where the reference seed and the seed to be tested are placed, the near-infrared light is emitted from the other end of the light splitting element by the second or third optical fiber collimator and enters the Y-type optical fiber, which is connected to the detector to measure the spectral signal.

[0019] Step 3: Data Processing and Vitality Determination: After receiving the measured near-infrared spectral signal, the data processing unit performs normalization. After normalization, the data processing unit accurately calculates the RMS value of the spectral difference between the reference and test seeds within a selected wavelength range. By comparing these values, the vigor of the seeds is determined. The smaller the RMS value of the spectral difference between the reference and test seeds, the closer the spectral characteristics are to those of the reference seeds, indicating higher vigor. Conversely, the larger the RMS value, the lower the vigor of the test seeds. The data processing unit pre-stores seed RMS screening thresholds for different seed types. These thresholds are determined by analyzing seed samples with varying vigor levels, combined with actual production requirements and statistical methods. After comparing the calculated RMS value of the spectral difference between the reference and test seeds with the threshold value, the data processing unit automatically selects seeds with high vigor based on the comparison results, enabling rapid and accurate seed sorting.

[0020] Furthermore, in step 2, for the measurement of the reference seed: in the reference optical path, near-infrared light penetrates the reference seed placed therein. Due to the material composition and structural characteristics of the reference seed, part of the light is absorbed and scattered, and the remaining light is transmitted. After passing through the reference seed, the transmitted light is collected by the second fiber optic collimator, enters the Y-type optical fiber, and enters the detector through the Y-type optical fiber to obtain a reference spectrum.

[0021] Furthermore, in the step 2, for the measurement of the seeds to be tested: the optical path is switched to the test optical path by moving the first optical fiber collimator on the spectrometer. In the test optical path, near-infrared light penetrates the seeds to be tested placed therein. Due to the material composition and structural characteristics of the seeds to be tested, part of the light is absorbed and scattered, and the remaining light is transmitted and propagated. After passing through the seeds to be tested, the transmitted light is collected by the third optical fiber collimator, enters the Y-type optical fiber, and enters the detector through the Y-type optical fiber to obtain a test spectrum of the seeds to be tested.

[0022] 7. Furthermore, in step 3, the calculation formula of the RMS value is: in,

[0023] n is the number of data points in the spectral data, i is the i-th data point in the spectral data, and xi is the data corresponding to the i-th data point.

[0024] In the above technical solution, the rapid seed vitality detection device and method based on near-infrared transmission spectroscopy provided by the present invention have the following beneficial effects:

[0025] The present invention's rapid seed viability detection device and method based on near-infrared transmission spectroscopy eliminates the traditional complex modeling process and is widely applicable to viability testing of various seed types, including rice and corn. It provides an efficient and accurate detection method for agricultural production and seed research. This has crucial practical significance for improving the efficiency of seed quality testing and ensuring the safety of seeds used in agricultural production. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments. Obviously, the drawings described below are only some embodiments described in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0027] Figure 1 This is a diagram showing the overall structure of a rapid seed vitality detection device based on near-infrared transmission spectroscopy provided by an embodiment of the present invention;

[0028] Figure 2 A flowchart of a rapid seed vitality detection device and method based on near-infrared transmission spectroscopy provided in an embodiment of the present invention;

[0029] Figure 3 A schematic diagram of the spectrum of reference seeds in the rapid seed viability detection method based on near-infrared transmission spectroscopy provided in an embodiment of the present invention;

[0030] Figure 4 A schematic diagram of the spectrum of seeds to be tested in the device and method for rapid seed vitality detection based on near-infrared transmission spectroscopy provided in an embodiment of the present invention;

[0031] Figure 5 Schematic diagram of the spectral difference between a reference seed and a seed to be tested in a rapid seed vitality detection device and method based on near-infrared transmission spectroscopy provided in an embodiment of the present invention.

[0032] Description of reference numerals:

[0033] 1. Near-infrared light source; 2. Optical fiber; 3. Spectral splitter; 4. Y-type optical fiber; 5. Infrared detector; 6. Data processing unit;

[0034] 3-1, first fiber optic collimator; 3-2, second fiber optic collimator; 3-3, third fiber optic collimator; 3-4, reference seed; 3-5, seed to be tested. DETAILED DESCRIPTION

[0035] In order to enable those skilled in the art to better understand the technical solution of the present invention, the present invention will be further described in detail below with reference to the accompanying drawings.

[0036] See also Figures 1 to 5 As shown;

[0037] The rapid seed vitality detection device based on near-infrared transmission spectroscopy of the present invention is tested using rice seeds in this embodiment:

[0038] Prepare a batch of 100 rice seeds and place them neatly on the sample tray of the X-ray detection device. Turn on the X-ray detection device. The X-ray emission source emits X-rays at a voltage of 50kV and a current of 5mA. After passing through the collimator, the rays penetrate the rice seeds with a beam diameter of 8mm. The detector converts the received radiation signal into a digital image and transmits it to the computer system. The operator carefully observes the internal structure of each rice seed through the computer display screen and selects rice seeds with complete structure, undamaged hilum, and no internal cavities or traces of insect infestation. From these seeds with complete structure, select 10 seeds with plump appearance and bright color as reference seeds 3-4.

[0039] The reference seeds 3-4 are carefully placed in the reference light path of the near-infrared seed vitality detection device, ensuring that the seeds are located in the center of the light path and do not come into contact with the light path components.

[0040] From the remaining 3-5 seeds to be tested, randomly pick one seed and place it in the measuring light path of the near-infrared seed vitality detection device, also ensuring that the seed position is accurate. Turn on the near-infrared light source 1, which emits near-infrared light with a wavelength range of 900-2500 nanometers. After passing through the spectroscopic element 3, it enters the reference light path and the measurement light path respectively. The near-infrared detector 5 quickly captures the near-infrared light signal passing through the seed, and converts it into a spectral signal and transmits it to the data processing unit 6. The entire measurement process takes 0.8 seconds. The transmission spectrum of the reference seed 3-4 is shown as follows: Figure 3 As shown, the transmission spectra of the seeds 3-5 to be tested are as follows Figure 4 As shown, the difference between the two is Figure 5 As shown in the figure, after calculation, the RMS value is 0.0198, which is less than the threshold value, and it can be considered that the seed vitality is relatively high.

[0041] After receiving the spectral signal, the data processing unit 6 performs normalization processing on the spectral signal. Within the selected 900-2500 nanometer band, the RMS value of the spectral difference between the reference seeds 3-4 and the seeds to be tested 3-5 is calculated. The pre-set seed screening RMS threshold is 0.05. If the calculated RMS value of the spectral difference between the reference seeds 3-4 and the seeds to be tested 3-5 is 0.04, it is judged that the vitality of the rice seeds to be tested is high; if the calculated RMS value of the spectral difference between the reference seeds 3-4 and the seeds to be tested 3-5 is 0.06, it is judged that the vitality of the rice seeds to be tested is low. According to this method, the remaining rice seeds to be tested are tested and screened one by one, and finally rice seeds with high vitality are selected.

[0042] The above description is merely illustrative of certain exemplary embodiments of the present invention. It goes without saying that those skilled in the art will be able to modify the described embodiments in various ways without departing from the spirit and scope of the present invention. Therefore, the above drawings and description are illustrative in nature and should not be construed as limiting the scope of protection of the claims.

Claims

1. A rapid seed vitality detection device based on near-infrared transmission spectroscopy, characterized in that: The detection device has a reference optical path and a test optical path, and the two optical paths work independently and cooperatively with each other, and the detection device includes: a near-infrared light source (1) for emitting infrared light; A spectroscopic element (3) is connected to the near-infrared light source (1) via an optical fiber (2); the near-infrared light emitted by the near-infrared light source (1) enters the spectroscopic element (3) through the optical fiber (2); and the spectroscopic element (3) is capable of guiding the near-infrared light to a reference optical path and a test optical path; an infrared detector (5), connected to the light splitting element (3) via a Y-type optical fiber (4), for measuring a spectral signal; The detection device also includes: The data processing unit (6) is connected to the infrared detector (5) signal, and can perform normalization processing on the measured near-infrared spectrum signal, calculate the RMS value of the spectrum, and judge the seed vitality by comparing the RMS value.

2. A rapid seed vitality detection device based on near-infrared transmission spectroscopy according to claim 1, characterized in that: The optical splitter element (3) comprises a first optical fiber collimator (3-1), a second optical fiber collimator (3-2) and a third optical fiber collimator (3-3); the optical fiber (2) is connected to the optical splitter element (3) via the first optical fiber collimator (3-1).

3. A rapid seed vigor detection method based on near-infrared transmission spectroscopy, characterized in that: The detection method comprises the following steps: Step 1: Seed screening and preparation: Use an X-ray inspection device to inspect the seeds and select seeds with intact germ structures and no defects such as cavities, insect bites, or cracks. Among these structurally intact seeds, further select seeds with plump appearance and normal color as reference seeds. Subsequently, these reference seeds are placed in the reference light path of the near-infrared transmission spectroscopy measurement device to ensure that the seeds are placed accurately. Step 2: Spectral measurement: The near-infrared light emitted by the near-infrared light source (1) first passes through the optical fiber (2), and the optical fiber (2) is connected to the spectroscopic element (3) through the first optical fiber collimator (3-1). The spectroscopic element (3) can guide the near-infrared light to the reference optical path and the test optical path; After passing through a reference optical path and a test optical path where a reference seed (3-4) and a seed to be tested (3-5) are placed, the near-infrared light is emitted from the other end of the light splitting element (3) by a second optical fiber collimator (3-2) or a third optical fiber collimator (3-3), enters a Y-type optical fiber (4), and is connected to a detector (5) via the Y-type optical fiber (4) to measure a spectral signal. Step 3: Data processing and vitality judgment: After receiving the measured near-infrared spectral signal, the data processing unit (6) performs normalization processing. After completing the normalization processing, the data processing unit (6) accurately calculates the RMS value of the spectral difference between the reference seed (3-4) and the seed to be tested (3-5) within the selected band range, compares the RMS values of the two, and determines the level of seed vitality.

4. A rapid seed viability detection method based on near-infrared transmission spectroscopy according to claim 3, characterized in that: In the second step, for the measurement of the reference seed (3-4): in the reference optical path, near-infrared light penetrates the reference seed (3-4) placed therein. Due to the material composition and structural characteristics of the reference seed (3-4), part of the light is absorbed and scattered, and the remaining light is transmitted. After passing through the reference seed (3-4), the transmitted light is collected by the second optical fiber collimator (3-2), enters the Y-type optical fiber (4), and enters the detector (5) through the Y-type optical fiber (4) to obtain a reference spectrum.

5. The method for rapid seed viability detection based on near-infrared transmission spectroscopy according to claim 3, characterized in that: In the second step, for the measurement of the seeds to be tested (3-5), the optical path is switched to the test optical path by moving the first optical fiber collimator (3-1) on the light splitting element (3); in the test optical path, near-infrared light penetrates the seeds to be tested (3-5) placed therein; due to the material composition and structural characteristics of the seeds to be tested (3-5), part of the light is absorbed and scattered, and the remaining light is transmitted and propagated; the transmitted light passes through the seeds to be tested (3-5) and is collected by the third optical fiber collimator (3-3), enters the Y-type optical fiber (4), and enters the detector (5) through the Y-type optical fiber (4), thereby obtaining a test spectrum of the seeds to be tested (3-5).

6. The method for rapid seed viability detection based on near-infrared transmission spectroscopy according to claim 3, characterized in that: In step 3, the calculation formula of the RMS value is: in, n is the number of data points in the spectral data, i is the i-th data point in the spectral data, and xi is the data corresponding to the i-th data point.

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