CN107185850B - Corn seed activity detection device based on hyperspectral imaging and electrical impedance - Google Patents
Corn seed activity detection device based on hyperspectral imaging and electrical impedance Download PDFInfo
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Abstract
The invention discloses a corn seed activity detection device based on hyperspectral imaging and electrical impedance, which comprises: the corn seed box is used for storing corn seeds to be detected, and the bottom of the corn seed box is connected with one or more chutes for outputting single seeds; the detection plate is provided with detection holes for receiving the seeds output by the sliding chute, and each detection hole is internally provided with an electrode pair; an impedance analyzer connected to the pair of electrodes for applying an excitation current to the seed through the electrodes based on electrical impedance data between the pair of electrodes; the hyperspectral imaging device is arranged above the conveyor belt and is used for imaging the corn seeds in the detection holes in real time; the computer is used for comprehensively analyzing the electrical impedance data and the hyperspectral data and grading the vitality of the corn seeds; the collecting container that is located conveyer belt one end is equipped with two at least holding tanks in for accept the maize seed of different vigor grades. The invention has the advantages of no damage, high automation degree, quick detection, high screening efficiency and the like.
Description
Technical Field
The present invention relates to the field of plant seed vigor detection. In particular to a corn seed activity detection device based on hyperspectral imaging and electrical impedance.
Background
Corn is the first large grain crop in China, and the quality of corn seeds directly relates to the benefits of seed enterprises and the income of farmers. In the dispute of seed quality every year, the situation that the difference between the germination rate of a laboratory and the field emergence rate is very large, the indoor germination rate meets the label marking value, and the field emergence rate is difficult to reach the standard is often encountered, which is the problem caused by the seed vitality. The seed vigor is the robustness of the seeds, is the sum of the germination and emergence rate of the seeds, the growth potential of seedlings, the stress resistance of plants and the production potential, and is an important index of the seed quality. The vitality detection of the seeds before sowing becomes an essential part and plays an important role in agricultural production.
The seed vigor assay can be divided into physiological assays and biochemical assays. Physiological assays measure characteristics and growth indicators of seeds in terms of germination; biochemical assays are assays that measure specific biochemical reactions associated with seed viability, such as enzyme system activity and the like. Currently, the traditional methods for determining the vitality of corn seeds mainly include: cold resistance measurements, seedling growth measurements, accelerated aging measurements, conductivity measurements, and the like. The traditional seed activity detection method has the defects of large measurement workload, poor repeatability, long measurement period, large environmental influence, easy damage to seeds and the like.
The hyperspectral imaging technology is a comprehensive technology integrating a detector technology, a precise optical machine, weak signal detection, a computer technology and an information processing technology, and has the characteristics of multiple wave bands, narrow width, wide spectral response range, high spectral resolution, integration of spectral and image and the like. In the ultraviolet, visible light, near infrared and mid-infrared regions, hundreds of sets of spectral data with very small band intervals and continuous spectra are acquired. Each pixel in the spectrum corresponds to a continuous spectrum, the internal component composition information of the object to be tested can be reflected, and the method has wide application prospect in the field of agricultural research.
The seed has absorbing properties for light, and the surface reflection and the bulk reflection of the seed are different under different beam intensities and different beam concentrations. The optical characteristics of the seeds are related to the internal physiological indexes of the seeds, so that the vitality of the seeds can be subjected to nondestructive testing by utilizing the optical characteristics of the seeds through a hyperspectral imaging technology.
On the other hand, the water content of seeds is closely related to the vitality of seeds. When the water content is high, the respiration of the seeds is enhanced, the consumption of storage substances in the seeds is accelerated, and the viability of the seeds is reduced. The accumulation of organic matters is less, the enzyme activity is low, and the energy required by seed germination cannot be met, so that the germination rate is low. On the other hand, too low a water content leads to too weak respiration and reduced seed vigor. Therefore, the proper water content is an important index of the seed vitality, and the seed vitality can be reflected to a certain extent by measuring the water content of the seeds.
In order to overcome the defects of the prior art, the invention is different from the traditional physiological measurement method and biochemical measurement method, and provides a method for online nondestructive detection and corn seed vigor screening on one hand through a hyperspectral imaging technology and an electrical impedance technology; on the other hand, through the combination of the two technologies, the corn seed vitality information is obtained in a multi-dimensional mode, and the detection accuracy is greatly improved. And determining the activity level of single seeds by a germination experiment on the samples with the acquired optical and electrical information, and establishing a seed optical/electrical/image information-activity model library. Comparing the model library to obtain the activity level of the corn seeds at present.
The invention aims to detect a hyperspectral image and an electrical impedance of a corn seed by a nondestructive method, acquire the vitality information of the corn seed in a multidimensional way by combining a corn seed spectrum/image information-vitality model and an electrical impedance-vitality model, and realize online nondestructive detection and screening of the vitality of the corn seed by a device. For the purpose, the invention provides a device for nondestructive online detection and screening of corn seed vitality by innovatively utilizing a hyperspectral imaging technology and an electrical impedance technology.
Disclosure of Invention
The invention discloses a corn seed vigor detection device based on hyperspectral imaging and electrical impedance, which realizes nondestructive online detection of the seed vigor of corn seeds based on hyperspectral imaging and electrical impedance and is used for screening the corn seeds with high vigor. The system radically overcomes the defects of low efficiency, high cost, low accuracy, damage to seeds and the like of the traditional seed vitality detection method. The hyperspectral imaging technology and the electrical impedance technology are innovatively combined, and the vitality information of the corn seeds is obtained in a multi-dimensional manner by utilizing the optical characteristics and the electrical characteristics of the corn seeds. On one hand, the device and the method are provided for online nondestructive testing of the corn seed vitality, and on the other hand, the accuracy is greatly improved. Simultaneously, this device still can carry out real-time screening to maize seed through mechanical device according to the testing result. The device is provided with: the detection is nondestructive, the automation degree is high, the detection is rapid, the screening is efficient, and the like.
In order to achieve the above purpose, the invention adopts the following specific technical scheme:
a maize seed vigor detection device based on hyperspectral imaging and electrical impedance comprises:
the corn seed box is used for storing corn seeds to be detected, and the bottom of the corn seed box is connected with one or more chutes for outputting single seeds;
the detection plate is provided with detection holes for receiving the seeds output by the sliding chute, and each detection hole is internally provided with an electrode pair;
an impedance analyzer connected to the pair of electrodes for applying an excitation current to the seed through the electrodes based on electrical impedance data between the pair of electrodes;
the hyperspectral imaging device is arranged above the conveyor belt and is used for imaging the corn seeds in the detection holes in real time;
the computer is used for comprehensively analyzing the electrical impedance data and the hyperspectral data and grading the vitality of the corn seeds;
the collection container that is located conveyer belt one end is equipped with two at least holding tanks in for accept the maize seed of different vigor grades.
According to the corn seed detection device, corn seeds are uniformly distributed on the conveying belt through the chute at the bottom of the material box, and the gap between the tail end of the corn seed detection device and the conveying belt is small, so that each detection hole of the detection plate on the conveying belt can be guaranteed to just contain one seed.
The corn seeds of the detection hole apply various different suitable excitation currents I to the corn seeds by setting an experiment program, the impedance value and the phase angle between the electrodes are detected simultaneously, data are automatically stored and recorded, the excitation currents with different currents, frequencies and waveforms can be provided by adjusting the experiment program, and the requirements of different scenes are met.
The detection plate is of a single-row structure and integrates two or more detection holes provided with electrodes. The depth of the hole is corresponding to the size of the corn seeds, and one corn seed can be just accommodated.
Preferably, the electrode pair is two electrodes having the same surface area and being interlaced with each other.
Preferably, each electrode comprises arc plates connected with the electrode wires, the arc plates of the two electrodes are symmetrically arranged, and the two arc plates are provided with grids which extend oppositely and are staggered at intervals.
Preferably, the electrode pair is made of graphite.
In the invention, the electrodes are of two mutually staggered electrode structures with basically the same surface area and are made of graphite materials, thereby being beneficial to extracting the impedance information of the corn seeds.
Preferably, the hyperspectral imaging device comprises two sets of imaging spectrometers, wherein the wave bands of the two sets of imaging spectrometers are respectively 380-1023nm and 874-1734 nm.
In the present invention, a hyperspectral imager includes: two sets of imaging spectrometers (380-1023 nm and 874-1734 nm), CCD cameras, imaging lenses of XNP 1.4/17 (380-1023 nm) and OLES15 (874-1734 nm), a Fiber-Lite DC950 line light source and a dark box. The spectral resolution of 380-1023nm is 2.8nm, and the spectral resolution of 874-1734nm is 5nm. The height of the lens, the light source and the movement speed of the conveyor belt can be adjusted, and the computer can perform hyperspectral imaging on corn seeds with different movement speeds at different heights by adjusting the exposure time, the light source intensity, the number of frames collected by pixels and the resolution ratio, so that the requirements of different scenes are met. The hyperspectral imaging data processing comprises data preprocessing, feature extraction and model comparison.
Furthermore, the surface of the conveyor belt is made of black non-reflective materials and can move at different constant speeds.
Preferably, the detection plate is a cuboid, and a plurality of detection plates are sequentially spliced and fixed on the conveyor belt.
According to the invention, the conveyor belt is provided with the multiple rows of detection plates, the modular design is adopted, the detection plates can be disassembled, the detection plates with different sizes can be selected according to seeds with different sizes, and the universality is higher.
The computer is internally provided with an editable experiment program. Due to the fact that different environments have large interference on data, the module can carry out preprocessing such as normalization processing on hyperspectral data and electrical impedance data. And analyzing the data through various algorithms such as principal component analysis and support vector machine. And finally, acquiring the vitality information of the seeds by combining the spectrum-vitality and electrical impedance-vitality models of the corn seeds, and grading and marking the vitality information.
Preferably, the conveyor belt is provided with a guide rail perpendicular to the conveying direction, and the detection plate is in sliding fit with the guide rail. The detecting plate is controlled by a computer and transversely moves according to the vitality of the corn seeds in a grading way to control the corn seeds to fall into the corresponding accommodating grooves.
The detecting plate can move in the direction perpendicular to the moving direction of the conveyor belt, and correspondingly moves through the received grading signals, so that corn seeds with different vigor grades fall into different accommodating grooves in the collecting container at the tail end of the conveyor belt, and efficient online screening is realized.
Drawings
FIG. 1 is a device for online detection of corn seed vigor based on hyperspectral imaging and electrical impedance;
FIG. 2 is a side view of a hyperspectral imager;
FIG. 3 is an electrode structure of a detecting unit;
FIG. 4 is a flow chart of a method for detecting and screening corn seed viability.
Detailed Description
The present invention will be described in detail below with reference to examples and drawings, but the present invention is not limited thereto.
The device for detecting the activity of the corn seeds based on the electrical impedance as shown in figure 1 comprises: the device comprises a computer 1, an impedance analyzer 2, a hyperspectral imaging chamber 3, a material box 4, a conveyor belt 5, a collection container 6 and a detection plate 7. The hyperspectral imaging room 3 comprises a CCD camera 8, two sets of imaging spectrometers (380-1023 nm and 874-1734 nm) 9, imaging lenses 10 of XNP 1.4/17 (380-1023 nm) and OLES15 (874-1734 nm), a fiber-Lite DC950 linear light source 11 and a dark box. The spectral resolution of 380-1023nm is 2.8nm and that of 874-1734nm is 5nm.
Corn seeds to be detected are stored in the material box 5, the bottom of the material box 5 is connected with a chute 12 capable of outputting single seeds, the size of the chute 12 is matched with the size of the single seeds, and the interior of the chute is just suitable for the single-row seeds to pass through.
The detection plate 7 is slidably mounted on a guide rail on the detection plate 5, detection holes 13 for receiving the seeds output by the chute 12 are formed in the detection plate 7, and an electrode pair is arranged in each detection hole 13. The structure of the electrode pair is shown in fig. 2, the electrode pair is two electrodes with the same surface area and staggered with each other, each electrode comprises an arc-shaped plate 16 connected with an electrode wire 15, the arc-shaped plates 16 of the two electrodes are symmetrically arranged, and grid bars 17 which extend oppositely and are staggered at intervals are arranged on the two arc-shaped plates 16. The electrode pair in this embodiment is made of graphite.
As shown in fig. 3, the impedance analyzer 1 is connected to the electrode pairs in the detection hole 13 via an electrode line 15, and applies an excitation current to the seeds via the electrodes, and detects and classifies the vitality of the seeds according to the impedance value and the phase angle between the electrode pairs.
The collecting container 7 is arranged at the tail end of one end of the conveying belt and is internally provided with at least two holding grooves for receiving the corn seeds with different vigor grades.
The detection plate 5 is provided with a guide rail 14 perpendicular to the conveying direction, and the detection plate 7 is slidably fitted on the guide rail 14. The detecting plate 7 is controlled by the computer 1, and transversely moves according to the vitality of the corn seeds in a grading way to control the corn seeds to fall into corresponding accommodating grooves in the collecting container 6.
The corn seeds to be detected are placed in the material box 4, and the seeds enter the conveying belt through the chute of the material box 4. Because the size of the chute can only accommodate one corn seed with normal size, and the clearance between the tail end of the chute and the conveyor belt 5 is small, each detection hole of the detection plate 7 on the conveyor belt 5 can just accommodate one seed. The computer 1 controls the impedance analyzer 2 to apply a plurality of different suitable excitation currents to the corn seeds, simultaneously detects the impedance value and the phase angle between the electrodes, and the computer 1 automatically stores and records data. After the computer 1 analyzes the electrical impedance data, the corresponding corn seeds are preliminarily graded and marked. The corn seeds enter the hyperspectral imaging chamber 3 along with the conveyor belt 5 at a set constant speed, the fiber-Lite DC950 linear light source 11 provides a suitable light source, and the two sets of imaging spectrometers 9 and the CCD camera 8 perform hyperspectral imaging on the corn seeds. Since the conveyor belt 5 is always moving at a constant speed, imaging data is continuously acquired and stored in the computer 1. The computer 1 carries out pretreatment, characteristic analysis, model ratio equal analysis on the imaging data in real time, and then carries out secondary grading and marking on the vitality of the corn seeds by combining the result of the electrical impedance data analysis. The detection plate 7 is moved in the direction perpendicular to the direction of movement of the conveyor belt in response to the received marking signal. The detection plate 7 containing the seeds with high vigor is moved upward and the detection plate with low vigor is moved downward. The seed can drop in the collection container 6 that contains a plurality of holding tanks 5 end at the conveyer belt, realizes the on-line measuring and the screening to the maize seed of different seed activities.
As shown in fig. 4, the detection method of the present embodiment includes the following steps:
1) Taking corn seeds to be detected as samples, uniformly distributing the seeds on the conveyor belt 5 by utilizing the material box, and accommodating one seed in each detection hole 13;
2) The electrodes in the detection holes 13 are connected with an impedance tester 2, and the computer 1 controls the impedance tester 2 to apply various different appropriate excitation currents to the corn seeds and simultaneously detects the impedance value and the phase angle between the electrodes. The computer 1 automatically records data, performs real-time online analysis on the acquired data, and performs preliminary evaluation and grading on the corresponding corn seed vitality;
3) Corn seeds enter the hyperspectral imaging chamber 3 along with the conveyor belt 5 at a constant speed, the hyperspectral imager images the corn seeds in real time through an experimental program, imaging data are automatically stored in the computer 1, and online data analysis is carried out;
4) The computer 1 integrates the analysis results of the electrical impedance data and the hyperspectral imaging data, carries out secondary evaluation and classification on the vitality of the corn seeds, marks the corn seeds with different vitality grades, and controls the detection plate 7 on the conveyor belt 5 to correspondingly move in the direction vertical to the movement direction of the conveyor belt;
5) The seeds fall into different accommodating grooves at the tail end of the conveyor belt 5, and the detection plate 7 is reset;
6) Repeating the steps 1) -5), and then realizing the online detection and screening of the seed vitality of the corn seeds.
The above description is intended to be illustrative of the preferred embodiment of the present invention and should not be taken as limiting the invention, but rather, the intention is to cover all modifications, equivalents, and alternatives falling within the spirit and scope of the invention.
Claims (4)
1. The utility model provides a maize seed vigor detection device based on hyperspectral imaging and electrical impedance which characterized in that includes:
the corn seed box is used for storing corn seeds to be detected, and the bottom of the corn seed box is connected with one or more chutes for outputting single seeds;
the detection plate is provided with detection holes for receiving the seeds output by the sliding chute, and each detection hole is internally provided with an electrode pair; the electrode pair is two electrodes which have the same surface area and are mutually staggered; each electrode comprises arc plates connected with the electrode wires, the arc plates of the two electrodes are symmetrically arranged, and the two arc plates are provided with grid bars which extend oppositely and are staggered at intervals;
the detection plates are cuboid, and a plurality of detection plates are sequentially spliced on the conveyor belt; the conveying belt is provided with a guide rail vertical to the conveying direction, and the detection plate is in sliding fit with the guide rail;
an impedance analyzer connected to the electrode pairs for applying an excitation current to the seed through the electrodes according to electrical impedance data between the electrode pairs;
the hyperspectral imaging device is arranged above the conveyor belt and is used for imaging the corn seeds in the detection holes in real time;
the computer is used for comprehensively analyzing the electrical impedance data and the hyperspectral data and grading the vitality of the corn seeds;
the collecting container is positioned at one end of the conveying belt, and at least two accommodating grooves are formed in the collecting container and are used for receiving corn seeds with different vigor grades;
the detecting plate is controlled by a computer and transversely moves according to the vitality of the corn seeds in a grading way to control the corn seeds to fall into the corresponding accommodating grooves.
2. The hyperspectral imaging and electrical impedance-based corn seed vigor detection device of claim 1, wherein the electrode pair is made of graphite.
3. The apparatus according to claim 1, wherein the hyperspectral imaging and electrical impedance based corn seed vigor detection apparatus comprises two sets of imaging spectrometers with wave bands respectively ranging from 380 nm to 1023nm and from 874 nm to 1734 nm.
4. The hyperspectral imaging and electrical impedance based corn seed vigor detection device of claim 3, wherein the surfaces of the conveyor belt and the detection plate are black non-reflective materials.
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| KR102094314B1 (en) * | 2017-12-29 | 2020-03-27 | 순천대학교 산학협력단 | Machine vision based crop selection apparatus |
| CN110090809A (en) * | 2018-01-31 | 2019-08-06 | 西派特（北京）科技有限公司 | A kind of device of online high-speed lossless automatic sorting monoploid corn kernel |
| US20210121922A1 (en) * | 2018-06-11 | 2021-04-29 | Cryovac, Llc | Process and system for in-line inspection of product stream for detection of foreign objects |
| CN110169232A (en) * | 2019-05-29 | 2019-08-27 | 湖州师范学院 | A kind of automation single seed vigor separation system |
| CN110291869B (en) * | 2019-07-10 | 2020-07-31 | 中国农业大学 | Nondestructive testing and grading system for seed vitality |
| CN110501065A (en) * | 2019-07-24 | 2019-11-26 | 南京农业大学 | Hybrid rice based on collision characteristic splits clever Seed inspection method |
| CN110586514A (en) * | 2019-10-24 | 2019-12-20 | 中国科学院长春光学精密机械与物理研究所 | Seed sorting equipment and method and seed activity detection device |
| CN114026992B (en) * | 2021-10-12 | 2024-04-26 | 中国热带农业科学院热带作物品种资源研究所 | Seed vigor nondestructive testing grading system |
| CN114088645A (en) * | 2021-10-15 | 2022-02-25 | 扬州大学 | Online rapid detection system and detection method for seed activity and health |
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| EP1527328B1 (en) * | 2002-07-20 | 2009-09-09 | Acea Biosciences, Inc. | Impedance based apparatuses and methods for analyzing cells and particles |
| CN101800524B (en) * | 2010-01-05 | 2011-12-14 | 浙江大学 | Shear mode FBAR with asymmetric structure |
| CN102072883B (en) * | 2010-07-07 | 2013-03-13 | 北京农业智能装备技术研究中心 | Device and method for detecting comprehensive quality of crop seeds |
| CN101971726B (en) * | 2010-08-26 | 2012-11-14 | 北京农业智能装备技术研究中心 | Bean seed germinating ability measuring device based on impedance spectrum |
| CN102621077B (en) * | 2012-03-30 | 2015-03-25 | 江南大学 | Corn seed purity nondestructive detection method based on hyper-spectral reflection image collecting system |
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| CN106591118B (en) * | 2017-01-05 | 2019-04-16 | 博奥生物集团有限公司 | A kind of cell in-situ electroporation device and application method |
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