CN113430243A - Spirulina species identification method - Google Patents
Spirulina species identification method Download PDFInfo
- Publication number
- CN113430243A CN113430243A CN202110900652.0A CN202110900652A CN113430243A CN 113430243 A CN113430243 A CN 113430243A CN 202110900652 A CN202110900652 A CN 202110900652A CN 113430243 A CN113430243 A CN 113430243A
- Authority
- CN
- China
- Prior art keywords
- spirulina
- species
- identified
- spirulina species
- picture
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- C—CHEMISTRY; METALLURGY
- C12—BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
- C12Q—MEASURING OR TESTING PROCESSES INVOLVING ENZYMES, NUCLEIC ACIDS OR MICROORGANISMS; COMPOSITIONS OR TEST PAPERS THEREFOR; PROCESSES OF PREPARING SUCH COMPOSITIONS; CONDITION-RESPONSIVE CONTROL IN MICROBIOLOGICAL OR ENZYMOLOGICAL PROCESSES
- C12Q1/00—Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions
- C12Q1/02—Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions involving viable microorganisms
- C12Q1/04—Determining presence or kind of microorganism; Use of selective media for testing antibiotics or bacteriocides; Compositions containing a chemical indicator therefor
Landscapes
- Chemical & Material Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Health & Medical Sciences (AREA)
- Organic Chemistry (AREA)
- Engineering & Computer Science (AREA)
- Zoology (AREA)
- Wood Science & Technology (AREA)
- Proteomics, Peptides & Aminoacids (AREA)
- Analytical Chemistry (AREA)
- Toxicology (AREA)
- Immunology (AREA)
- Microbiology (AREA)
- Molecular Biology (AREA)
- Biophysics (AREA)
- Physics & Mathematics (AREA)
- Biotechnology (AREA)
- Biochemistry (AREA)
- Bioinformatics & Cheminformatics (AREA)
- General Engineering & Computer Science (AREA)
- General Health & Medical Sciences (AREA)
- Genetics & Genomics (AREA)
- Measuring Or Testing Involving Enzymes Or Micro-Organisms (AREA)
Abstract
The application discloses a spirulina species identification method, which comprises the following steps: (1) establishing a spirulina species map library, classifying the spirulina species according to the existing known spirulina species, and manufacturing the spirulina species map library aiming at different spirulina species classifications; (2) culturing spirulina, namely obtaining a sample of spirulina species to be identified and culturing the sample; (3) photographing the spirulina, namely photographing the growth forms of the spirulina species to be identified in different periods, and obtaining a series of pictures of the spirulina species to be identified; (4) and (4) archiving the spirulina picture, preprocessing the obtained spirulina picture to be identified and inputting the spirulina picture to be identified into a library. By the method, different spirulina species can be quickly identified, and the identification efficiency and the identification accuracy are improved.
Description
Technical Field
The application relates to the technical field of spirulina species identification, in particular to a spirulina species identification method.
Background
Spirulina belongs to Cyanophyta, Cyanophyceae, Oscillatoriaceae, Spirulina, is an ancient low-grade prokaryotic unicellular or multicellular aquatic plant, has a body length of 200-.
The existing common identification of spirulina algae needs to observe the characteristics and growth condition of a quantitative sample, and according to the components and content of pigment in cells, assimilation products, phycofilaments, flagella length, a reproduction method and the like, the identification work is complicated and time-consuming, and the identification rate is influenced. Therefore, a method for identifying spirulina species is provided aiming at the problems.
Disclosure of Invention
The embodiment provides a method for identifying spirulina species, which is used for solving the problems that the existing common method for identifying spirulina species needs to observe the characteristics and growth conditions of quantitative samples, and identification work is complicated and time-consuming according to the components and content of pigments in cells, assimilation products, algal filaments, flagella length, reproduction method and the like, and the identification rate is influenced.
According to one aspect of the present application, there is provided a spirulina species identification method, including the steps of;
(1) establishing a spirulina species map library, classifying the spirulina species according to the existing known spirulina species, and manufacturing the spirulina species map library aiming at different spirulina species classifications;
(2) culturing spirulina, namely obtaining a sample of spirulina species to be identified and culturing the sample;
(3) photographing the spirulina, namely photographing the growth forms of the spirulina species to be identified in different periods, and obtaining a series of pictures of the spirulina species to be identified;
(4) the spirulina picture is filed, the obtained spirulina picture to be identified is preprocessed, and the spirulina picture to be identified is input into a library;
(5) calling a map library, namely calling different types of spirulina shape pictures in a spirulina species map library;
(6) and (3) retrieval and comparison of the spirulina, namely retrieving and comparing the spirulina shape picture in the spirulina species map library with the growth shape picture of the spirulina species to be identified so as to obtain the category of the spirulina species.
Further, the step (1) keeps the real-time updating of the spirulina species atlas.
Further, the spirulina species map library in the step (1) is used for establishing a spirulina species cell map library aiming at different types of spirulina species cells and classifying the spirulina species cell map library.
Further, in the step (1), pictures of different growth forms of different spirulina species in different periods are obtained and classified.
Further, the cultivation temperature of the spirulina species in the step (2) is between 30 and 37 ℃, and the pH value is between 8.6 and 9.5.
Further, in the step (2), a natural light source bioreactor and an artificial light source bioreactor are adopted for irradiation in the cultivation process of the spirulina seeds.
Further, the photographing mode in the step (3) is that the electronic eyepiece continuously photographs the algae sample in the water sample.
Further, the preprocessing in the step (4) comprises algae image segmentation, image contour extraction and algae species cell morphology contour.
Further, the spirulina shape in the picture of the spirulina shape in the step (5) includes the color, shape, texture and other shapes of the spirulina cells.
Further, in the step (6), when the sample of the spirulina species to be identified is not matched with the spirulina species map library, the sample picture of the spirulina species to be identified is put into the spirulina species map library.
Through the embodiment of the application, the method for identifying the spirulina species solves the problems that the existing common method for identifying the spirulina species needs to observe the characteristics and growth conditions of quantitative samples, and according to the components and content of pigments in cells, assimilation products, phycofilaments, flagella length, a reproduction method and the like, the identification work is complicated and time-consuming, and the identification rate is influenced.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without inventive exercise.
Fig. 1 is a flow chart of the present application.
Detailed Description
In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only partial embodiments of the present application, but not all embodiments. 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 application.
It should be noted that the terms "first," "second," and the like in the description and claims of this application and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It should be understood that the data so used may be interchanged under appropriate circumstances such that embodiments of the application described herein may be used. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
In this application, the terms "upper", "lower", "left", "right", "front", "rear", "top", "bottom", "inner", "outer", "middle", "vertical", "horizontal", "lateral", "longitudinal", and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings. These terms are used primarily to better describe the present application and its embodiments, and are not used to limit the indicated devices, elements or components to a particular orientation or to be constructed and operated in a particular orientation.
Moreover, some of the above terms may be used to indicate other meanings besides the orientation or positional relationship, for example, the term "on" may also be used to indicate some kind of attachment or connection relationship in some cases. The specific meaning of these terms in this application will be understood by those of ordinary skill in the art as appropriate.
Furthermore, the terms "mounted," "disposed," "provided," "connected," and "sleeved" are to be construed broadly. For example, it may be a fixed connection, a removable connection, or a unitary construction; can be a mechanical connection, or an electrical connection; may be directly connected, or indirectly connected through intervening media, or may be in internal communication between two devices, elements or components. The specific meaning of the above terms in the present application can be understood by those of ordinary skill in the art as appropriate.
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.
The method for identifying a spirulina species in this embodiment can be used for identifying a spirulina species, for example, the following method for identifying a spirulina species is provided in this embodiment, and the method for identifying a spirulina species in this embodiment can be applied to the following method for identifying a spirulina mud.
A spirulina mud cleaning device comprises a belt type vacuum filter, wherein the front end and the rear end of the belt type vacuum filter are respectively and fixedly connected with a first supporting rod, the rear end face of the first supporting rod is fixedly connected with a box body, one side of the box body is fixedly connected with a first supporting plate, the top end of the first supporting plate is fixedly provided with a water tank, a water pump is arranged in the water tank, one side of the water pump is fixedly provided with a water pipe, and one side of the water pipe is fixedly provided with a plurality of spray heads;
the front end and the rear end of the box body are respectively provided with an adjusting mechanism, the adjusting mechanism comprises two clamping grooves, the clamping grooves are fixedly connected with one side of the box body, the clamping blocks are clamped and connected in the clamping grooves, one side of each clamping block is fixedly connected with a first rotating shaft, one side of each first rotating shaft is rotatably connected with a first rotating rod, one side of each first rotating rod is fixedly connected with a second supporting rod, the top end of each second supporting rod is fixedly connected with a connecting plate, the connecting plates are fixedly connected with the bottom ends of the water pipes, each first rotating rod forms a rotating structure with the clamping blocks through the first rotating shaft, a shaking mechanism is arranged in the box body, a limiting mechanism is arranged on the front end face of the box body, the water pipes are hoses, the first rotating shafts and the first rotating rods are convenient for moving the spray heads and the water pipes at the bottom ends of the connecting plates connected with the second supporting rods to one side and are convenient for taking out and processing spirulina in the box body, and one side of the box body can be connected with another water pipe, so that water and silt in the box body can be conveniently discharged.
The first rotating shaft is in a clamping structure through the clamping block and the clamping groove, the clamping groove is symmetrical about the central axis of the box body, the clamping block moves in the clamping groove, the second supporting rod on one side of the clamping block can move, and the distance between the connecting plate on the top end of the first rotating shaft and the spirulina in the box body can be adjusted conveniently.
The shaking mechanism comprises a second support plate inside, the second support plate is fixedly connected with one side of the box body, the top end of the second support plate is fixedly connected with a servo motor, the servo motor is fixedly connected with one side of the box body, one side of the inner wall of the box body is fixedly connected with a second rotating shaft, the servo motor penetrates through the box body and is in embedded connection with the inside of the second rotating shaft, one side of the second rotating shaft is rotatably connected with a second rotating rod, the surface of the second rotating rod is fixedly connected with a first gear, the surface of the first gear is in engaged connection with a second gear, the surface of the second gear is sleeved with a partition plate, two sides of the partition plate are respectively and fixedly connected with a telescopic rod, the telescopic rod is fixedly connected with one side of the inner wall of the box body, two sides of the top end of the partition plate are respectively and fixedly connected with a clamp, the top end of the clamp is provided with a box body, and the servo motor can control the speed, the position precision is very accurate, a voltage signal can be converted into a torque and a rotating speed to drive a control object, the rotating speed of a rotor of the servo motor is controlled by an input signal and can be quickly responded, the servo motor is used as an execution element in an automatic control system, has the characteristics of small electromechanical time constant, high linearity, starting voltage and the like, and can convert a received electric signal into an angular displacement or an angular speed on a motor shaft to output to the servo motor so as to control the second rotating rod to rotate back and forth.
The baffle passes through to constitute extending structure between telescopic link and the box, and the second dwang passes through to constitute rotating structure between second axis of rotation and the box, and what the surface of box body all gomphosis was connected has the filter screen, can filter the silt that the inside spirulina of box body contains.
Stop gear's inside is including the baffle, and be fixed connection between the preceding terminal surface one side of baffle and box, one side fixedly connected with sleeve pipe of baffle, and sheathed tube top has seted up a plurality of through-holes, sheathed tube inner wall bottom fixedly connected with spout, and the inside of spout cup joints and is inserted and is equipped with the slider, the top fixedly connected with loop bar of slider, and one side fixedly connected with butt joint piece of loop bar, the top fixedly connected with sleeve of loop bar, and telescopic inside fixedly connected with reset spring, reset spring's top fixedly connected with T type pole, and be swing joint between the inside of T type pole and through-hole, one side gomphosis of second bracing piece is connected with a plurality of butt joint grooves, and be swing joint between the surface of butt joint groove and butt joint piece, butt joint piece and the connection in butt joint groove, can fix the second bracing piece, prevent it from removing.
The loop bar passes through to constitute the block structure between butt joint piece and the butt joint groove, and the loop bar passes through to constitute sliding structure between slider and the spout, and T type pole passes through to constitute the block structure between through-hole and the sleeve pipe, and constitutes elasticity extending structure between T type pole passing through reset spring and the sleeve, and reset spring is convenient for pop out T type pole through the through-hole, is convenient for fix the loop bar.
Of course, the present embodiment can also be used for identifying the spirulina species. The method for identifying spirulina species according to the embodiments of the present application will be described below.
Example one
Referring to fig. 1, a method for identifying spirulina species includes the following steps;
(1) establishing a spirulina species map library, classifying the spirulina species according to the existing known spirulina species, and manufacturing the spirulina species map library aiming at different spirulina species classifications;
(2) culturing spirulina, namely obtaining a sample of spirulina species to be identified and culturing the sample;
(3) photographing the spirulina, namely photographing the growth forms of the spirulina species to be identified in different periods, and obtaining a series of pictures of the spirulina species to be identified;
(4) the spirulina picture is filed, the obtained spirulina picture to be identified is preprocessed, and the spirulina picture to be identified is input into a library;
(5) calling a map library, namely calling different types of spirulina shape pictures in a spirulina species map library;
(6) and (3) retrieval and comparison of the spirulina, namely retrieving and comparing the spirulina shape picture in the spirulina species map library with the growth shape picture of the spirulina species to be identified so as to obtain the category of the spirulina species.
Further, the step (1) keeps the real-time updating of the spirulina species atlas.
Further, the spirulina species map library in the step (1) is used for establishing a spirulina species cell map library aiming at different types of spirulina species cells and classifying the spirulina species cell map library.
Further, in the step (1), pictures of different growth forms of different spirulina species in different periods are obtained and classified.
Further, the cultivation temperature of the spirulina species in the step (2) is between 30 and 37 ℃, and the pH value is between 8.6 and 9.5.
Further, in the step (2), a natural light source bioreactor and an artificial light source bioreactor are adopted for irradiation in the cultivation process of the spirulina seeds.
Further, the photographing mode in the step (3) is that the electronic eyepiece continuously photographs the algae sample in the water sample.
Further, the preprocessing in the step (4) comprises algae image segmentation, image contour extraction and algae species cell morphology contour.
Further, the spirulina shape in the picture of the spirulina shape in the step (5) includes the color, shape, texture and other shapes of the spirulina cells.
Further, in the step (6), when the sample of the spirulina species to be identified is not matched with the spirulina species map library, the sample picture of the spirulina species to be identified is put into the spirulina species map library.
The method solves the problems that the existing common identification of the spirulina algae needs to observe the characteristics and the growth condition of a quantitative sample, and the identification work is complicated, the time consumption is long and the identification rate is influenced according to the components and the content of pigment in cells, assimilation products, algal filaments, flagella length, a reproduction method and the like.
Example two
Referring to fig. 1, a method for identifying spirulina species includes the following steps;
(1) establishing a spirulina species map library, classifying the spirulina species according to the existing known spirulina species, and manufacturing the spirulina species map library aiming at different spirulina species classifications;
(2) culturing spirulina, namely obtaining a sample of spirulina species to be identified and culturing the sample;
(3) photographing the spirulina, namely photographing the growth forms of the spirulina species to be identified in different periods, and obtaining a series of pictures of the spirulina species to be identified;
(4) the spirulina picture is filed, the obtained spirulina picture to be identified is preprocessed, and the spirulina picture to be identified is input into a library;
(5) calling a map library, namely calling different types of spirulina shape pictures in a spirulina species map library;
(6) and (3) retrieval and comparison of the spirulina, namely retrieving and comparing the spirulina shape picture in the spirulina species map library with the growth shape picture of the spirulina species to be identified so as to obtain the category of the spirulina species.
Further, the step (1) keeps the real-time updating of the spirulina species atlas.
Further, the spirulina species map library in the step (1) is used for establishing a spirulina species cell map library aiming at different types of spirulina species cells and classifying the spirulina species cell map library.
Further, in the step (1), pictures of different growth forms of different spirulina species in different periods are obtained and classified.
Further, the cultivation temperature of the spirulina species in the step (2) is between 30 and 37 ℃, and the pH value is between 8.6 and 9.5.
Further, in the step (2), a natural light source bioreactor and an artificial light source bioreactor are adopted for irradiation in the cultivation process of the spirulina seeds.
Further, the photographing mode in the step (3) is that the electronic eyepiece continuously photographs the algae sample in the water sample.
Further, the preprocessing in the step (4) comprises algae image segmentation, image contour extraction and algae species cell morphology contour.
Further, the spirulina shape in the picture of the spirulina shape in the step (5) includes the color, shape, texture and other shapes of the spirulina cells.
Further, in the step (6), when the sample of the spirulina species to be identified is not matched with the spirulina species map library, the sample picture of the spirulina species to be identified is put into the spirulina species map library.
The method can be used for rapidly identifying different spirulina species, and the identification efficiency and the identification accuracy are improved.
The application has the advantages that:
the method solves the problems that the prior common spirulina algae identification needs to observe the characteristics and growth condition of quantitative samples, and the identification work is complicated and time-consuming according to the components and content of pigments in cells, assimilation products, algal filaments, flagella length, a reproduction method and the like, and the identification rate is influenced.
The above description is only a preferred embodiment of the present application and is not intended to limit the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.
Claims (10)
1. A spirulina species identification method is characterized in that: a spirulina species identification method comprises the following steps:
(1) establishing a spirulina species map library, classifying the spirulina species according to the existing known spirulina species, and manufacturing the spirulina species map library aiming at different spirulina species classifications;
(2) culturing spirulina, namely obtaining a sample of spirulina species to be identified and culturing the sample;
(3) photographing the spirulina, namely photographing the growth forms of the spirulina species to be identified in different periods, and obtaining a series of pictures of the spirulina species to be identified;
(4) the spirulina picture is filed, the obtained spirulina picture to be identified is preprocessed, and the spirulina picture to be identified is input into a library;
(5) calling a map library, namely calling different types of spirulina shape pictures in a spirulina species map library;
(6) and (3) retrieval and comparison of the spirulina, namely retrieving and comparing the spirulina shape picture in the spirulina species map library with the growth shape picture of the spirulina species to be identified so as to obtain the category of the spirulina species.
2. The method of claim 1, wherein the method comprises: and (2) keeping the real-time updating of the spirulina species atlas in the step (1).
3. The method of claim 1, wherein the method comprises: and (2) establishing an algae species cell map library aiming at different kinds of algae species cells and classifying the algae species cell map library in the spirulina species map library in the step (1).
4. The method of claim 1, wherein the method comprises: and (2) obtaining pictures of different growth forms of different spirulina species in different periods in the step (1) and classifying the pictures.
5. The method of claim 1, wherein the method comprises: the cultivation temperature of the spirulina species in the step (2) is between 30 and 37 ℃, and the pH value is between 8.6 and 9.5.
6. The method of claim 1, wherein the method comprises: and (3) irradiating the spirulina seeds by adopting a natural light source bioreactor and an artificial light source bioreactor in the cultivation process of the spirulina seeds in the step (2).
7. The method of claim 1, wherein the method comprises: and (4) continuously photographing the algae sample in the water sample by the electronic eyepiece in the photographing mode in the step (3).
8. The method of claim 1, wherein the method comprises: the preprocessing in the step (4) comprises algae image segmentation, image contour extraction and algae species cell morphology contour.
9. The method of claim 1, wherein the method comprises: the spirulina shape in the spirulina shape picture in the step (5) comprises the shapes of the color, the shape, the texture and the like of spirulina cells.
10. The method of claim 1, wherein the method comprises: and (6) when the sample of the spirulina species to be identified is not matched with the spirulina species map library, summarizing the sample picture of the spirulina species to be identified into the spirulina species map library.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110900652.0A CN113430243A (en) | 2021-08-06 | 2021-08-06 | Spirulina species identification method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110900652.0A CN113430243A (en) | 2021-08-06 | 2021-08-06 | Spirulina species identification method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113430243A true CN113430243A (en) | 2021-09-24 |
Family
ID=77762866
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110900652.0A Pending CN113430243A (en) | 2021-08-06 | 2021-08-06 | Spirulina species identification method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113430243A (en) |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20060210545A1 (en) * | 2005-03-16 | 2006-09-21 | Dainippon Ink And Chemicals, Inc. | Process for treating spirulina |
| CN101975849A (en) * | 2010-09-25 | 2011-02-16 | 宁波大学 | Quick qualitatively and quantitatively optimizing method of phytoplankton |
| CN110129251A (en) * | 2019-06-27 | 2019-08-16 | 浙江海洋大学 | Breeding method of the blunt top spirulina under salt stress environment |
| CN110532941A (en) * | 2019-08-27 | 2019-12-03 | 安徽生物工程学校 | A kind of characteristic image extracting method of common algae |
| CN110543580A (en) * | 2019-08-27 | 2019-12-06 | 安徽生物工程学校 | Picture comparison and identification method for common algae |
| CN111876340A (en) * | 2020-05-09 | 2020-11-03 | 鄂尔多斯市琢成生物科技有限责任公司 | Culture method of spirulina |
-
2021
- 2021-08-06 CN CN202110900652.0A patent/CN113430243A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20060210545A1 (en) * | 2005-03-16 | 2006-09-21 | Dainippon Ink And Chemicals, Inc. | Process for treating spirulina |
| CN101975849A (en) * | 2010-09-25 | 2011-02-16 | 宁波大学 | Quick qualitatively and quantitatively optimizing method of phytoplankton |
| CN110129251A (en) * | 2019-06-27 | 2019-08-16 | 浙江海洋大学 | Breeding method of the blunt top spirulina under salt stress environment |
| CN110532941A (en) * | 2019-08-27 | 2019-12-03 | 安徽生物工程学校 | A kind of characteristic image extracting method of common algae |
| CN110543580A (en) * | 2019-08-27 | 2019-12-06 | 安徽生物工程学校 | Picture comparison and identification method for common algae |
| CN111876340A (en) * | 2020-05-09 | 2020-11-03 | 鄂尔多斯市琢成生物科技有限责任公司 | Culture method of spirulina |
Non-Patent Citations (1)
| Title |
|---|
| 乔小燕: "基于生物形态学的赤潮藻显微图像分割与特征提取研究", 《中国优秀博硕士学位论文全文数据库(博士)信息科技辑》 * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111248139B (en) | Culture device and method for high-density rotifers | |
| CN112400773B (en) | Greenhouse fry intelligent feeding device and method based on machine vision technology | |
| CN109284771A (en) | A kind of tomato growth model determination method and device | |
| CN103558822B (en) | Aquiculture Monitoring System | |
| CN112991430B (en) | Fry counting device and method based on machine vision detection tracking | |
| CN109460097A (en) | A kind of fish jar intelligent monitor system | |
| CN108875644A (en) | A kind of aquatic animal density survey method | |
| CN206832692U (en) | A kind of in-situ observation analytical equipment of water plant root growth and development | |
| CN112036407A (en) | Plant population three-dimensional phenotype in-situ acquisition method and device | |
| Gough et al. | On the removal and quantification of algal aufwuchs from macrophyte hosts | |
| CN113430243A (en) | Spirulina species identification method | |
| CN203072684U (en) | Internet of things water monitoring system used in aquaculture | |
| Adamec | Photosynthetic CO 2 affinity of the aquatic carnivorous plant Utricularia australis (Lentibulariaceae) and its investment in carnivory | |
| CN210691396U (en) | Portable silkworm cocoon counting assembly | |
| Kroes | Growth interactions between Chlamydomonas globosa Snow and Chlorococcum ellipsoideum Deason and Bold under different experimental conditions, with special attention to the role of pH | |
| CN114965472B (en) | On-line automatic identification system for multi-dimensional imaging of plankton | |
| CN217586937U (en) | Multi-dimensional imaging identifier for plankton | |
| CN111521753A (en) | Rice field is synthesized and is planted technology ecological remediation soil heavy metal pollution and administer detection device | |
| CN214276914U (en) | Portable multi-habitat universal underwater video observation station | |
| CN114152280B (en) | Tentacle type soft coral monitoring device | |
| CN110064601A (en) | Seedling detection and classification system and classification method for vegetable grafting | |
| CN212931943U (en) | Collector for biological samples for birth | |
| CN208803069U (en) | Green tide breaks out environment simulator and system | |
| CN114236077A (en) | Fishery aquaculture water quality on-line monitoring device and control method thereof | |
| CN113447298A (en) | Automatic collection and treatment device for periphytic algae |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |