CN106525892A - Watermelon maturity detection device and method - Google Patents
Watermelon maturity detection device and method Download PDFInfo
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- CN106525892A CN106525892A CN201710024720.5A CN201710024720A CN106525892A CN 106525892 A CN106525892 A CN 106525892A CN 201710024720 A CN201710024720 A CN 201710024720A CN 106525892 A CN106525892 A CN 106525892A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N24/00—Investigating or analyzing materials by the use of nuclear magnetic resonance, electron paramagnetic resonance or other spin effects
- G01N24/08—Investigating or analyzing materials by the use of nuclear magnetic resonance, electron paramagnetic resonance or other spin effects by using nuclear magnetic resonance
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N23/00—Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups G01N3/00 – G01N17/00, G01N21/00 or G01N22/00
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2223/00—Investigating materials by wave or particle radiation
- G01N2223/40—Imaging
- G01N2223/401—Imaging image processing
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2223/00—Investigating materials by wave or particle radiation
- G01N2223/60—Specific applications or type of materials
- G01N2223/612—Specific applications or type of materials biological material
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2223/00—Investigating materials by wave or particle radiation
- G01N2223/60—Specific applications or type of materials
- G01N2223/618—Specific applications or type of materials food
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2223/00—Investigating materials by wave or particle radiation
- G01N2223/60—Specific applications or type of materials
- G01N2223/645—Specific applications or type of materials quality control
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Abstract
The invention discloses a watermelon maturity detection device and method. The watermelon maturity detection device comprises a mechanical claw, a weight measuring disk and a weight measuring base, wherein the mechanical claw is positioned around the weight measuring disk. The watermelon maturity detection device is characterized in that a claw head of the mechanical claw is provided with a micro radio frequency receiver; a claw arm of the mechanical claw is provided with an electromagnet wound by field sweeping coils; a micro radio frequency oscillator is arranged between the weight measuring disk and the weight measuring base; a display screen is arranged in front of the weight measuring base; the micro radio frequency oscillator and the electromagnet wound by the field sweeping coils form an imaging device; the micro radio frequency receiver is connected with the computer; and the computer is connected with the display screen. According to the device and method disclosed by the invention, watermelon data are measured through magnetic resonance imaging, no damage is caused to a measured watermelon, and watermelon maturity detection is quickly and conveniently realized. Thus, watermelon maturity measurement can be realized; and the device and method are applicable to acquisition of a large amount of watermelon sample data.
Description
Technical field
A kind of the present invention relates to agricultural product index measurement, more particularly to device and method of detection Watermelon Maturity.
Background technology
In the investigation of agriculture growth of watermelon, the measurement of Citrullus vulgariss maturity has important in Citrullus vulgariss sowing, melon grower choose melon
Effect.At present, the main personal experience's judgement by melon grower of detection to Watermelon Maturity, but consume as manual detection is present
Duration, error are big, so as to cause efficiency low, and are difficult to the accurate detection by being accomplished manually extensive sample data, once
Empirical formula judges to make a fault, and is easily caused large-area half-mature melon, underdone melon and lists in advance.Half-mature melon, underdone melon in advance
On the one hand listing causes damage in itself to Citrullus vulgariss；On the other hand huge economic loss is caused to melon grower, to consumer
Speech will influence whether the prestige of local melon, and edible underdone or half-mature melon can have certain harm for people, also can be to inciting somebody to action
The watermelon market for coming has undesirable effect.
The content of the invention
In order to realize carrying out Maturity detection to Citrullus vulgariss under the conditions of lossless, it is an object of the invention to：A kind of energy is provided
Under the conditions of lossless, Watermelon Maturity is used for quickly detecting, and the Watermelon Maturity inspection of a large amount of Citrullus vulgariss sample datas can be gathered
Survey method and device.
The technical solution adopted in the present invention is：A kind of Watermelon Maturity detection means, including gripper, check weighing disk and survey
Weight base, gripper are located at check weighing disk surrounding, it is characterised in that：The pawl head of the gripper is provided with miniature radio-frequency receptor,
Equipped with the electric magnet wound by field sweep coil on the pawl arm of gripper, miniature radio-frequency is provided between check weighing disk and check weighing base and is shaken
Device is swung, a display screen is provided with before check weighing base, the miniature radio-frequency agitator, electric magnet composition imaging device are described miniature
Radio frequency receiver is connected with computer, and imaging signal is passed to computer module and processed and by showing by the miniature radio-frequency receptor
Screen shows testing result, and the computer module includes parameter setting module, image collection module, image processing module and west
Melon Maturity computing module, the parameter setting module are used for setting magnetic field intensity parameter, the miniature radio-frequency agitator of electric magnet
With the radio frequency parameter of miniature radio-frequency receptor；Described image acquisition module is used for obtaining Citrullus vulgariss NMR (Nuclear Magnetic Resonance)-imaging figure and C cores, H
Caryoplasm spectrogram；Described image processing module is used for processing NMR (Nuclear Magnetic Resonance)-imaging figure and C cores, H caryoplasm spectrograms；The Watermelon Maturity
Computing module is used for calculating automatically the Maturity of Citrullus vulgariss.
The pawl head of gripper of the present invention is sucker shape pawl head.
Gripper of the present invention is 3 or more than 3.
The detection method of the Watermelon Maturity that the present invention is adopted is comprised the following steps：
（1）Adjustment mechanical arm, Citrullus vulgariss to be measured is placed on check weighing base, and makes which be sufficiently spread out wrapping up Citrullus vulgariss to be measured；
（2）The magnetic field intensity parameter of setting electric magnet, the radio frequency parameter of miniature radio-frequency agitator, the radio frequency of miniature radio-frequency receptor
Parameter；
（3）From miniature radio-frequency agitator to Citrullus vulgariss electromagnetic signals to be measured, the electromagnetic wave signal is after Citrullus vulgariss to be measured
Computer is received and be transported to by miniature radio-frequency receptor, Jing analyses obtain NMR (Nuclear Magnetic Resonance)-imaging figure and C cores, H caryoplasm spectrograms；
（4）Extraction step（3）In mass spectrum, and analyze crest type, obtain sucrose and Fructose crest location, by sucrose
It is integrated with the waveform of Fructose and obtains its area, obtains sweetness ratio data；
（5）Extraction step（3）Melon pulp color characteristic in NMR (Nuclear Magnetic Resonance)-imaging figure, in conjunction with step（4）In the sweetness ratio that measures, root
According to Sample Storehouse color characteristic and sweetness ratio data, the disaggregated model trained using SVM methods, west is obtained by the prediction of SVM methods
The Maturity of melon.
The step（4）Detailed process be：First it is filtered using fft algorithm, eliminates the ripple produced by interfering material
Interference of the shape burr to determinand, reuses the Gauss window in smoothts functions to step（3）Middle gained C cores, H caryoplasm spectrum
Figure filtering, is smoothed to filtered waveform, then sucrose and Fructose waveform is integrated and obtains its area, then
Sucrose is compared with the integral area of Fructose waveform and obtains mol ratio, so as to further obtain mass ratio and sweetness ratio.
The step（5）Detailed process be：First to step（3）In NMR (Nuclear Magnetic Resonance)-imaging figure carry out the colour of gray level
Converter technique process obtains pseudo color image, and reusing color histogram carries out color feature extracted, in conjunction with step（4）In obtain
Sweetness ratio, Watermelon Maturity will be obtained in above-mentioned sweetness ratio and the color characteristic SVM models that train of input.
Apparatus of the present invention and method measure Citrullus vulgariss data by NMR (Nuclear Magnetic Resonance)-imaging, will not tested melon body be caused to damage
Wound, is adapted to the collection of a large amount of Citrullus vulgariss sample datas, and apparatus of the present invention is more compact, carries and easy to use；And use fft algorithm
Gauss window filtering with smoothts functions can improve the accuracy of detection of sweetness ratio, the result accuracy rate for obtaining and work effect
Rate is greatly improved, and realizes quick, convenient, the lossless Maturity detection of Citrullus vulgariss.
Description of the drawings
Fig. 1 is the structural representation of the present invention；
Fig. 2 is the workflow diagram of the present invention；
In figure, 1 is miniature radio-frequency receptor, and 2 is miniature radio-frequency agitator, and 3 is check weighing base, and 4 is check weighing disk, and 5 is by field sweep
The electric magnet of coil winding, 6 is gripper, and 7 is display screen, and 8 is computer.
Specific embodiment
The present invention is described in detail below in conjunction with the accompanying drawings, but the present invention is not limited only to detailed description below.
From fig. 1, it can be seen that Watermelon Maturity detection means of the present invention, including gripper, check weighing disk and check weighing base, gripper
For 3 or more than 3, the present embodiment is 4, and positioned at check weighing disk surrounding, the pawl head of the gripper is sucker shape pawl head, sucker
Shape pawl head is provided with miniature radio-frequency receptor, equipped with the electric magnet wound by field sweep coil on the pawl arm of gripper, in check weighing disk
Miniature radio-frequency agitator is provided with and check weighing base between, is provided with a display screen before check weighing base, the miniature radio-frequency agitator,
Electric magnet constitutes imaging device, and the miniature radio-frequency receptor is connected with computer, and the miniature radio-frequency receptor will be imaged letter
Number pass to computer module to process and show testing result by display screen, the computer module includes parameter setting module, figure
As acquisition module, image processing module and Watermelon Maturity calculate module, the parameter setting module is used for setting electric magnet
Magnetic field intensity parameter, miniature radio-frequency agitator and miniature radio-frequency receptor radio frequency parameter；Described image acquisition module is used for
Obtain Citrullus vulgariss NMR (Nuclear Magnetic Resonance)-imaging figure and C cores, H caryoplasm spectrograms；Described image processing module is used for processing NMR (Nuclear Magnetic Resonance)-imaging figure
With C cores, H caryoplasm spectrograms；The Watermelon Maturity calculates module to be used for calculating automatically the Maturity of Citrullus vulgariss.
As can be seen from Figure 2, the course of work of the present invention is as follows：Gripper is adjusted first so as to be sufficiently spread out, then Citrullus vulgariss are put
In the check weighing disk on check weighing base, gripper pawl point is linked closely Citrullus vulgariss, miniature radio-frequency agitator is then turned on, by parameter setting
The radio frequency parameter of the magnetic field intensity parameter, miniature radio-frequency agitator and miniature radio-frequency receptor of module settings electric magnet, Ran Hou
NMR (Nuclear Magnetic Resonance)-imaging process is carried out under on the mechanical arm magnetic field provided by electric magnet, and radio frequency receiver receives signal, by image
Acquisition module obtains Citrullus vulgariss NMR (Nuclear Magnetic Resonance)-imaging figure and C cores, H caryoplasm spectrograms.Through image processing module process nuclear magnetic resonance, NMR into
Picture figure and C cores, H caryoplasm spectrograms, are treated using fft algorithm and the waveform burr being filtered produced by process elimination interfering material
The interference of thing is surveyed, the Gauss window reused in smoothts functions is filtered to gained C cores, H caryoplasm spectrogram, to filtered ripple
Shape is smoothed, and obtains its area to sucrose and Fructose integral of pulse shape, and the two is compared and obtains mol ratio, further obtains matter
Amount ratio and sweetness ratio.The color transformation method for carrying out gray level to NMR (Nuclear Magnetic Resonance)-imaging figure processes and obtains pseudo color image and reuse face
Color Histogram carries out color feature extracted, obtains Citrullus vulgariss in the SVM models that above-mentioned sweetness ratio and color characteristic input are trained
Maturity.
Embodiment of the present invention is not only the description carried out to the preferred embodiment of the present invention, not to this
Bright spirit and scope are defined, and on the premise of without departing from design philosophy of the present invention, in this area, engineers and technicians are to this
Various modifications and improvement that the technical scheme of invention is made, all should fall into protection scope of the present invention, what the present invention was claimed
Technology contents, have all recorded in detail in the claims.
Claims (6)
1. a kind of Watermelon Maturity detection means, including gripper, check weighing disk and check weighing base, gripper is located at check weighing disk four
Week, it is characterised in that：The pawl head of the gripper is provided with miniature radio-frequency receptor, equipped with by field sweep line on the pawl arm of gripper
The electric magnet of circle winding, is provided with miniature radio-frequency agitator between check weighing disk and check weighing base, is provided with one and shows before check weighing base
Display screen, the miniature radio-frequency agitator, electric magnet composition imaging device, the miniature radio-frequency receptor are connected with computer, institute
State miniature radio-frequency receptor imaging signal is passed to computer module process and testing result, the computer is shown by display screen
Module includes that parameter setting module, image collection module, image processing module and Watermelon Maturity calculate module, the parameter
Setup module is used for the radio frequency ginseng of the magnetic field intensity parameter, miniature radio-frequency agitator and miniature radio-frequency receptor for setting electric magnet
Number；Described image acquisition module is used for obtaining Citrullus vulgariss NMR (Nuclear Magnetic Resonance)-imaging figure and C cores, H caryoplasm spectrograms；Described image processing module
For processing NMR (Nuclear Magnetic Resonance)-imaging figure and C cores, H caryoplasm spectrograms；The Watermelon Maturity calculates module to be used for calculating automatically Citrullus vulgariss
Maturity.
2. Watermelon Maturity detection means according to claim 1, it is characterised in that：The pawl head of the gripper is sucker
Shape pawl head.
3. Watermelon Maturity detection means according to claim 1, it is characterised in that：The gripper be 3 or 3 with
On.
4. a kind of detection method of Watermelon Maturity, it is characterised in that comprise the following steps：
（1）Adjustment mechanical arm, Citrullus vulgariss to be measured is placed on check weighing base, and makes which be sufficiently spread out wrapping up Citrullus vulgariss to be measured；
（2）The magnetic field intensity parameter of setting electric magnet, the radio frequency parameter of miniature radio-frequency agitator, the radio frequency of miniature radio-frequency receptor
Parameter；
（3）From miniature radio-frequency agitator to Citrullus vulgariss electromagnetic signals to be measured, the electromagnetic wave signal is after Citrullus vulgariss to be measured
Computer is received and be transported to by miniature radio-frequency receptor, Jing analyses obtain NMR (Nuclear Magnetic Resonance)-imaging figure and C cores, H caryoplasm spectrograms；
（4）Extraction step（3）In mass spectrum, and analyze crest type, obtain sucrose and Fructose crest location, by sucrose
It is integrated with the waveform of Fructose and obtains its area, obtains sweetness ratio data；
（5）Extraction step（3）Melon pulp color characteristic in NMR (Nuclear Magnetic Resonance)-imaging figure, in conjunction with step（4）In the sweetness ratio that measures, root
According to Sample Storehouse color characteristic and sweetness ratio data, the disaggregated model trained using SVM methods, west is obtained by the prediction of SVM methods
The Maturity of melon.
5. detection method according to claim 4, it is characterised in that：The step（4）Detailed process be：First use
Fft algorithm is filtered, and eliminates interference of the waveform burr produced by interfering material to determinand, reuses smoothts functions
In Gauss window to step（3）Middle gained C cores, the filtering of H caryoplasm spectrogram, are smoothed to filtered waveform, then
Sucrose and Fructose waveform are integrated and obtain its area, then sucrose is compared with the integral area of Fructose waveform and is obtained mole
Than so as to further obtain mass ratio and sweetness ratio.
6. detection method according to claim 4, it is characterised in that：The step（5）Detailed process be：First to step
（3）In NMR (Nuclear Magnetic Resonance)-imaging figure carry out gray level color transformation method process obtain pseudo color image, reuse color histogram
Figure carries out color feature extracted, in conjunction with step（4）In the sweetness ratio that obtains, by above-mentioned sweetness ratio and color characteristic input training
Watermelon Maturity is obtained in good SVM models.
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| CN201710024720.5A CN106525892B (en) | 2017-01-13 | 2017-01-13 | A kind of Watermelon Maturity detection means and method |
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| CN201710024720.5A CN106525892B (en) | 2017-01-13 | 2017-01-13 | A kind of Watermelon Maturity detection means and method |
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| CN106525892B CN106525892B (en) | 2018-02-23 |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111053137A (en) * | 2020-01-07 | 2020-04-24 | 四川宏野食品有限公司 | Production system of full-automatic production wild jujube cake |
| CN111160250A (en) * | 2019-12-30 | 2020-05-15 | 安徽易刚信息技术有限公司 | Blueberry growing period detection method and device based on artificial neural network |
| CN111366600A (en) * | 2019-11-08 | 2020-07-03 | 宁波诺丁汉大学 | Method, device and system for detecting sweetness of fruit and storage medium |
| CN117007552A (en) * | 2023-10-07 | 2023-11-07 | 北京市农林科学院智能装备技术研究中心 | Watermelon maturity detection method, device, system, electronic equipment and storage medium |
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111366600A (en) * | 2019-11-08 | 2020-07-03 | 宁波诺丁汉大学 | Method, device and system for detecting sweetness of fruit and storage medium |
| CN111366600B (en) * | 2019-11-08 | 2022-02-08 | 宁波诺丁汉大学 | Method, device and system for detecting sweetness of fruit and storage medium |
| US11965842B2 (en) | 2019-11-08 | 2024-04-23 | University Of Nottingham Ningbo China | Method, device, and system for detecting sweetness of fruit, and storage medium |
| CN111160250A (en) * | 2019-12-30 | 2020-05-15 | 安徽易刚信息技术有限公司 | Blueberry growing period detection method and device based on artificial neural network |
| CN111053137A (en) * | 2020-01-07 | 2020-04-24 | 四川宏野食品有限公司 | Production system of full-automatic production wild jujube cake |
| CN117007552A (en) * | 2023-10-07 | 2023-11-07 | 北京市农林科学院智能装备技术研究中心 | Watermelon maturity detection method, device, system, electronic equipment and storage medium |
| CN117007552B (en) * | 2023-10-07 | 2024-02-06 | 北京市农林科学院智能装备技术研究中心 | Watermelon maturity detection method, device, system, electronic equipment and storage medium |
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Inventor after: Tu Bing Inventor after: He Danbing Inventor after: Huang Siyuan Inventor after: Zhang Guoyun Inventor after: Wu Jianhui Inventor after: Guo Longyuan Inventor after: Ou Xianfeng Inventor after: He Wei Inventor after: Sheng Yibo Inventor after: Yang Xianchang Inventor before: Tu Bing Inventor before: Wang Jinping Inventor before: Qi Qi Inventor before: Sheng Yibo Inventor before: Lu Beier Inventor before: Chen Weibang Inventor before: Guo Longyuan Inventor before: He Wei |
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Granted publication date: 20180223 Termination date: 20200113 |