CN115152357B - Plant seed culture dish, germination checking device, cultivation device and germination method - Google Patents
Plant seed culture dish, germination checking device, cultivation device and germination method Download PDFInfo
- Publication number
- CN115152357B CN115152357B CN202210925880.8A CN202210925880A CN115152357B CN 115152357 B CN115152357 B CN 115152357B CN 202210925880 A CN202210925880 A CN 202210925880A CN 115152357 B CN115152357 B CN 115152357B
- Authority
- CN
- China
- Prior art keywords
- germination
- seed
- seeds
- culture dish
- image
- 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.)
- Active
Links
- 230000035784 germination Effects 0.000 title claims abstract description 123
- 238000000034 method Methods 0.000 title claims abstract description 46
- 238000011218 seed culture Methods 0.000 title claims abstract description 17
- 238000007689 inspection Methods 0.000 claims abstract description 16
- 238000005192 partition Methods 0.000 claims abstract description 15
- 230000007226 seed germination Effects 0.000 claims description 76
- 230000007613 environmental effect Effects 0.000 claims description 17
- 230000001954 sterilising effect Effects 0.000 claims description 10
- 238000004659 sterilization and disinfection Methods 0.000 claims description 10
- 238000010998 test method Methods 0.000 claims description 10
- 238000012360 testing method Methods 0.000 claims description 7
- 238000010438 heat treatment Methods 0.000 claims description 5
- 230000001502 supplementing effect Effects 0.000 claims description 5
- 238000013136 deep learning model Methods 0.000 claims description 4
- 238000003672 processing method Methods 0.000 claims description 2
- 238000001514 detection method Methods 0.000 abstract description 34
- 230000008569 process Effects 0.000 abstract description 22
- 230000000694 effects Effects 0.000 abstract description 5
- 239000010410 layer Substances 0.000 description 13
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 10
- 238000005286 illumination Methods 0.000 description 9
- 229910001220 stainless steel Inorganic materials 0.000 description 8
- 239000010935 stainless steel Substances 0.000 description 8
- 230000003203 everyday effect Effects 0.000 description 7
- 238000011161 development Methods 0.000 description 6
- 230000018109 developmental process Effects 0.000 description 6
- 238000002474 experimental method Methods 0.000 description 6
- 238000013135 deep learning Methods 0.000 description 5
- 230000003750 conditioning effect Effects 0.000 description 4
- 238000013461 design Methods 0.000 description 4
- 238000010586 diagram Methods 0.000 description 4
- 238000012545 processing Methods 0.000 description 4
- 230000008054 signal transmission Effects 0.000 description 4
- 238000004458 analytical method Methods 0.000 description 3
- 238000010276 construction Methods 0.000 description 3
- 230000007547 defect Effects 0.000 description 3
- 238000005259 measurement Methods 0.000 description 3
- 238000012544 monitoring process Methods 0.000 description 3
- 238000007789 sealing Methods 0.000 description 3
- 241000894007 species Species 0.000 description 3
- 238000012549 training Methods 0.000 description 3
- CURLTUGMZLYLDI-UHFFFAOYSA-N Carbon dioxide Chemical compound O=C=O CURLTUGMZLYLDI-UHFFFAOYSA-N 0.000 description 2
- 206010063385 Intellectualisation Diseases 0.000 description 2
- 230000009471 action Effects 0.000 description 2
- 230000032683 aging Effects 0.000 description 2
- 230000005540 biological transmission Effects 0.000 description 2
- 238000009395 breeding Methods 0.000 description 2
- 230000001488 breeding effect Effects 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 2
- 230000008859 change Effects 0.000 description 2
- 230000001276 controlling effect Effects 0.000 description 2
- 239000012297 crystallization seed Substances 0.000 description 2
- 230000002354 daily effect Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000000605 extraction Methods 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 230000001788 irregular Effects 0.000 description 2
- 238000007726 management method Methods 0.000 description 2
- 239000000463 material Substances 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000010606 normalization Methods 0.000 description 2
- 238000005057 refrigeration Methods 0.000 description 2
- 238000011160 research Methods 0.000 description 2
- 239000004065 semiconductor Substances 0.000 description 2
- 239000007921 spray Substances 0.000 description 2
- 238000010186 staining Methods 0.000 description 2
- 125000003831 tetrazolyl group Chemical group 0.000 description 2
- 230000000007 visual effect Effects 0.000 description 2
- 241000894006 Bacteria Species 0.000 description 1
- NIXOWILDQLNWCW-UHFFFAOYSA-N acrylic acid group Chemical group C(C=C)(=O)O NIXOWILDQLNWCW-UHFFFAOYSA-N 0.000 description 1
- 238000003556 assay Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 210000004556 brain Anatomy 0.000 description 1
- 230000001680 brushing effect Effects 0.000 description 1
- 229910002092 carbon dioxide Inorganic materials 0.000 description 1
- 239000001569 carbon dioxide Substances 0.000 description 1
- 238000004140 cleaning Methods 0.000 description 1
- 238000011109 contamination Methods 0.000 description 1
- 238000007796 conventional method Methods 0.000 description 1
- 230000008878 coupling Effects 0.000 description 1
- 238000010168 coupling process Methods 0.000 description 1
- 238000005859 coupling reaction Methods 0.000 description 1
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 1
- 238000009826 distribution Methods 0.000 description 1
- 238000005265 energy consumption Methods 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 230000004927 fusion Effects 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000009413 insulation Methods 0.000 description 1
- 239000011229 interlayer Substances 0.000 description 1
- 238000002955 isolation Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 238000004806 packaging method and process Methods 0.000 description 1
- 230000002093 peripheral effect Effects 0.000 description 1
- 230000001737 promoting effect Effects 0.000 description 1
- 239000012925 reference material Substances 0.000 description 1
- 230000001105 regulatory effect Effects 0.000 description 1
- 239000000565 sealant Substances 0.000 description 1
- 238000009331 sowing Methods 0.000 description 1
- 238000003860 storage Methods 0.000 description 1
- 239000005341 toughened glass Substances 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
- 238000013519 translation Methods 0.000 description 1
- 239000002699 waste material Substances 0.000 description 1
Classifications
-
- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01C—PLANTING; SOWING; FERTILISING
- A01C1/00—Apparatus, or methods of use thereof, for testing or treating seed, roots, or the like, prior to sowing or planting
- A01C1/02—Germinating apparatus; Determining germination capacity of seeds or the like
- A01C1/025—Testing seeds for determining their viability or germination capacity
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/77—Processing image or video features in feature spaces; using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]; Blind source separation
- G06V10/774—Generating sets of training patterns; Bootstrap methods, e.g. bagging or boosting
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/10—Terrestrial scenes
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Life Sciences & Earth Sciences (AREA)
- General Physics & Mathematics (AREA)
- Multimedia (AREA)
- Health & Medical Sciences (AREA)
- Physics & Mathematics (AREA)
- Artificial Intelligence (AREA)
- Soil Sciences (AREA)
- Environmental Sciences (AREA)
- Physiology (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Computing Systems (AREA)
- Databases & Information Systems (AREA)
- Evolutionary Computation (AREA)
- General Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
- Software Systems (AREA)
- Apparatus Associated With Microorganisms And Enzymes (AREA)
- Pretreatment Of Seeds And Plants (AREA)
Abstract
The invention belongs to the technical field of seed cultivation or seed inspection, and provides a plant seed culture dish, a germination inspection device, a cultivation device and a germination method, which comprise the following steps: a culture dish main body including a plurality of culture units divided by a plurality of transparent partitions; the seed positioning groove is formed in the bottom of the culture unit; the culture dish is divided into a plurality of units by the transparent partition, so that roots of different seeds are prevented from being staggered together in the growth process, and the seed identification effect is prevented from being influenced; meanwhile, a seed positioning groove is designed in the center of each unit, and the purpose is to place seeds according to fixed positions, so that the seeds are uniformly arranged, the definition of a shot image during detection can be improved, the influence of root staggering and the like in the seed growing process in a culture dish is avoided, the integrity of shot seed image information is ensured, and the accuracy of a detection result is improved.
Description
Technical Field
The invention belongs to the technical field of seed cultivation or seed inspection, and particularly relates to a plant seed culture dish, a germination inspection device, a cultivation device and a germination method.
Background
The current incubator can realize automatic control of environmental factors such as temperature, humidity, illumination and the like in the seed germination process, but the target set value still needs professional technicians or people with certain experience to set according to the types of the seeds, and has higher requirements on the professional quality of users. Meanwhile, the culture dish is taken out and observed and the germination condition of seeds is recorded by workers at regular time every day, so that the workload is large, the efficiency is very low, and the intelligent development requirement of breeding cannot be met. At present, there are two methods for detecting the vigor of seeds: one is an indirect detection method for determining physiological and biochemical characteristics related to seed vigor, such as tetrazolium staining, artificial accelerated aging, conductivity measurement, etc.; the other method is a direct test method, and the vitality of the seeds is judged by measuring indexes such as germination rate of the seeds in a laboratory, which is the most main method for quality test of the seeds. In the actual operation process, usually, a worker cultures a batch of seeds, takes out the culture dish at regular time every day to observe the germination condition of the seeds, and counts the number of the germinated seeds and the ungerminated seeds with tolerance.
The inventor finds that although the quality detection methods of seeds are quite many, most of the quality detection methods have defects, such as higher requirements on professional ability of experiment staff, complicated working procedures, time and labor waste, stronger subjectivity, low detection efficiency and the like, the development requirements on intelligent and efficient quality detection of seeds cannot be met, in the existing mode of detecting by a camera, the shot seed image information has the problems of incomplete information or seed disorder in an image and the like due to the influence of the walls of a culture dish and the influence of root staggering and the like in the seed growing process in the culture dish, and the detection result is influenced; meanwhile, the existing seed culture (germination) box has relatively simple functions, only controls environmental conditions such as temperature, humidity, illumination and the like required by seed culture and germination, and needs professional technicians to set target values of the environmental parameters such as temperature, humidity, illumination and the like according to the type of the cultured seeds, and also needs staff to observe and record the germination condition of the seeds at regular time every day.
Disclosure of Invention
In order to solve the problems, the invention provides a plant seed culture dish, a germination checking device, a cultivation device and a germination method, designs a totally new intelligent incubator, realizes full automation in the whole process from seed germination identification to seedling cultivation, optimizes the technical flow of seed germination detection, is simple to operate, has high efficiency, and has important significance for the construction of a germplasm resource library.
In order to achieve the above object, in a first aspect, the present invention provides a plant seed culture dish, which adopts the following technical scheme:
a plant seed culture dish comprising:
a culture dish main body including a plurality of culture units divided by a plurality of transparent partitions;
the seed positioning groove is formed in the bottom of the culture unit.
Further, germination paper is laid at the bottom of the culture unit; holes are formed in the germination paper at the positions of the seed positioning grooves.
In order to achieve the above object, in a second aspect, the present invention provides a plant seed germination inspection device, which adopts the following technical scheme:
a plant seed germination testing device, comprising:
the box body is internally provided with a clamping plate;
a plurality of culture dishes placed on the clamping plate; the culture dish includes: a culture dish main body including a plurality of culture units divided by a plurality of transparent partitions; the seed positioning groove is formed in the bottom of the culture unit;
the image acquisition equipment is arranged at the upper part in the box body through the moving device.
Further, a moving device arranged at the upper part in the box body is provided with a nozzle.
Further, the exhaust fan is installed to the upper wall of box, be provided with temperature and humidity sensor on the lateral wall in the box, be provided with S type gas piping on the back wall in the box, S type gas piping is connected with air heating and refrigerating plant.
Further, the plurality of clamping plates are respectively arranged in the box body through sliding rails fixed on the inner side wall of the box body and are detachable; the upper wall in the box body and the lower end of at least one clamping plate are both provided with light supplementing lamps.
Further, an observation window is arranged on the door of the box body; the bottom of the box body is provided with a travelling wheel and a locking mechanism.
In order to achieve the above object, in a third aspect, the present invention further provides a plant seed cultivation device, which adopts the following technical scheme:
a plant seed growing apparatus comprising:
the box body is internally provided with a clamping plate;
a plurality of culture dishes placed on the clamping plate; the culture dish includes: a culture dish main body including a plurality of culture units divided by a plurality of transparent partitions; the seed positioning groove is formed in the bottom of the culture unit.
In order to achieve the above purpose, in a fourth aspect, the present invention further provides a plant seed germination test method, which adopts the following technical scheme:
a plant seed germination test method using the plant seed germination test apparatus as described in the second aspect, comprising:
acquiring an image containing seeds in real time;
obtaining the number of germinated seeds and unmalted seeds in the image according to the obtained image and a preset deep learning model;
and calculating the germination starting rate, average germination time, initial germination time and final germination time according to the number of germinated seeds and unmalted seeds.
Further, after an image containing seeds is obtained, a plurality of random values are overlapped on pixel points of the seed image through a noise processing method, and the seed image after noise is added is obtained;
selecting an optimal weight for predicting the germination state of seeds by comparing a plurality of fingers with the accuracy rate, the recall rate, the average accuracy and the average accuracy according to the seed image after noise is added by adopting a Yolov5 model;
the optimal weights are input into the model to identify the number of germinated seeds and the number of unmalted seeds.
Compared with the prior art, the invention has the beneficial effects that:
1. the culture dish is divided into a plurality of units by the transparent partition, so that roots of different seeds are prevented from being staggered together in the growth process, and the seed identification effect is prevented from being influenced; meanwhile, a seed positioning groove is designed in the center of each unit, so that seeds are placed at fixed positions, the seeds are uniformly arranged, the definition of a shot image in detection can be improved, the influence of root staggering and the like in the seed growing process in a culture dish is avoided, the integrity of shot seed image information is ensured, and the accuracy of a detection result is improved;
2. the invention designs a totally new intelligent incubator, realizes full automation in the whole process from seed germination identification to seedling cultivation, optimizes the technical flow of seed germination detection, has simple operation and high efficiency, and has important significance for the construction of a germplasm resource library;
3. the seed cultivation system designed by the invention integrates the latest current seed inspection rules, industry seed germination standard specifications and plant germplasm resource library seed germination expert experience; the system can automatically set the information such as the temperature, illumination, humidity, time for counting the first time and the last time, the pretreatment condition of the seed germination and the like required by the seed germination cultivation of the plant according to the seed germination expert experience database only by selecting species information and the seed cultivation type in the upper computer software. For plant seeds which have no normalization standard at the current stage, the system can automatically give seed germination information of the same family and genus plants as a reference, and operators can also set seed germination conditions autonomously; meanwhile, sterilization interval time and times may be set. The problem that a proper temperature and humidity value can be set only by a large amount of reference materials according to plant types by a professional or a person with certain experience in the traditional incubator is solved, and the seed germination inspection work is conveniently carried out on a large scale by a germplasm resource library and a scientific research institution, so that the popularization and the use are facilitated;
4. the seed cultivation system designed by the invention analyzes the collected images, monitors the growth condition in the seed germination process in real time, and pushes the growth condition to relevant specialists for guiding analysis so as to more scientifically and accurately breed. For plant seeds without expert experience and normalization standard, experiments can be carried out on the plant seeds, environmental information and images can be acquired in real time, environmental information required by germination of the seeds is determined, and the like;
5. the image information acquisition unit designed by the invention adopts a scanning mode to shoot pictures one by one, and can shoot a plurality of culture dish seed images in the same layer by only one industrial camera, thereby fully playing the efficiency of intelligent hardware and reducing the cost;
6. according to the seed germination detection method provided by the invention, the image acquisition unit is adopted and an improved deep learning algorithm is combined, so that the seed image is automatically shot at fixed time and the germination state of the seeds in the image is accurately identified, the number of the germinated and ungerminated seeds is counted, and the biological information such as germination rate, average germination time, initial germination time, final germination time and the like is calculated; the problem that the germination rate of the seeds needs to be manually and regularly detected every day to take out a culture dish to observe the germination condition of the seeds and count the germination rate is solved, the detection precision and the detection efficiency of the germination rate of the seeds are greatly improved, the workload of workers is also reduced to the greatest extent, the damage of frequent environmental changes to the seeds is reduced, the risk of bacteria contamination is reduced, and the germination quality of the seeds is improved;
7. the invention uses a deep learning algorithm, is less influenced by environmental interference, can accurately identify the germination state of seeds in various complex environments such as strong light, dim light and the like, and obviously improves the detection precision of seed germination;
8. the seed cultivation system designed by the invention detects the information of the seed germination environment in real time, and performs effective and automatic intervention on the germination environment, thereby realizing accurate control and remote dynamic monitoring of the seed germination environment;
9. the invention can collect images of seed germination in different periods, record the whole process of seed germination, save relevant original data, facilitate the application of the later-stage research big data technology in seed management and file establishment, and simultaneously provide pictures and image materials for the scientific popularization of plant seeds.
10. The invention truly realizes full automation and intellectualization in the whole process from seed germination identification to seedling cultivation, can automatically set germination conditions according to the current seed inspection standard and expert experience through the related operation of an upper computer, automatically detects seed germination environment and performs effective intervention, automatically shoots seed culture images at regular time, automatically identifies the germination state of seeds in pictures, counts the number of germinated and ungerminated seeds, calculates various germination information such as germination rate and the like, displays detection results in real time, and simultaneously stores the results in a csv file; the invention greatly reduces the workload of staff, reduces the number of professional technicians, improves the seed germination detection efficiency and accuracy, and provides technical support for the construction of germplasm resource libraries.
Drawings
The accompanying drawings, which are included to provide a further understanding of the embodiments and are incorporated in and constitute a part of this specification, illustrate and explain the embodiments and together with the description serve to explain the embodiments.
FIG. 1 is a schematic diagram of the structure of a culture dish according to example 1 of the present invention;
fig. 2 is a schematic structural view of embodiment 2 and embodiment 3 of the present invention;
fig. 3 is a schematic structural diagram of an image information acquisition unit according to embodiment 2 of the present invention;
FIG. 4 is a schematic view of the structure A in FIG. 3 according to embodiment 2 of the present invention;
FIG. 5 is a diagram of a detection system according to embodiment 2 of the present invention;
FIG. 6 is a flow chart of seed cultivation according to example 2 of the present invention;
FIG. 7 is a flow chart of seed quality inspection according to embodiment 2 of the present invention;
FIG. 8 is a flowchart of an algorithm for detecting germination status of seeds according to embodiment 2 of the present invention;
FIG. 9 is a graph showing the germination detection result of seeds according to example 2 of the present invention;
FIG. 10 is a graph showing the germination detection result of seeds in a dark-light environment according to example 2 of the present invention;
FIG. 11 is a graph showing the germination detection result of seeds in the environment with strong light rays in example 2 of the present invention;
FIG. 12 is a graph showing the result of identifying seed buds and roots according to example 3 of the present invention;
FIG. 13 is a diagram of the example 3 of the present invention after image processing for identifying seed buds and root results;
wherein, 1, the walking wheel; 2. stainless steel door; 3. an upper computer; 4. an embedded control unit; 5. an observation window; 6. an upper computer bracket; 7. a slide rail; 8. a clamping plate; 9. a culture dish fixing groove; 10. a culture dish body; 11. a culture dish wall; 12. a transparent partition; 13. a seed positioning groove; 14. sprouting paper; 15. an industrial camera; 16. a screw rod; 17. a coupling; 18. a stepping motor; 19. a nut seat; 20. a nozzle; 21. a water pipe; 22. an S-shaped gas pipeline; 23. an exhaust fan; 24. a sensor; 25. and a light supplementing lamp.
The specific embodiment is as follows:
the invention will be further described with reference to the drawings and examples.
It should be noted that the following detailed description is exemplary and is intended to provide further explanation of the present application. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.
With the continuous development of technology, plant seed cultivation and germination inspection systems have undergone several rounds of major innovation: the first generation seed cultivation and germination inspection system adopts a fully manual mode, and needs to manually change the water in the seed culture dish once at intervals, disinfect the seed culture dish, measure the temperature and humidity of the seed culture dish, intervene, record the condition of measuring seeds and the like. The whole seed germination process needs to be manually observed and recorded every day, because the seed germination process is extremely easily influenced by external environment, frequent environmental changes can cause phenomena such as mold development and root rot of the seed, and the seed germination is not facilitated. Therefore, the first generation seed germination test takes a lot of time for the staff and is extremely inefficient. The second generation seed cultivation and germination inspection system employs a cultivation (germination) box to cultivate the seeds. The incubator can create proper germination conditions for seed germination, reduces artificial interference, shortens seed germination time, and improves seed germination rate.
The main purpose of seed germination is to verify the quality of the seed. The quality detection of seeds has important significance for the work of intervention of storage environment of seeds, grading of seeds, determination of reasonable sowing quantity, measurement and calculation of production potential of seeds and the like. The quality of the seeds is mainly reflected by the vigor of the seeds. The germination rate is one of important indexes for detecting the vigor of seeds, and is a main standard for judging the quality of the seeds.
As proposed in the background art, the current incubator can realize automatic control of environmental factors such as temperature, humidity, illumination and the like in the seed germination process, but the target set value still needs professional technicians or people with certain experience to set according to the types of the seeds, and has higher requirements on professional quality of users. Meanwhile, the culture dish is taken out and observed and the germination condition of seeds is recorded by workers at regular time every day, so that the workload is large, the efficiency is very low, and the intelligent development requirement of breeding cannot be met. At present, there are two methods for detecting the vigor of seeds: one such method is an indirect assay that measures physiological and biochemical characteristics associated with seed vigor, such as tetrazolium staining, artificial accelerated aging, and conductivity measurements. The method has a plurality of defects, such as high requirement on professional ability of experiment staff, complicated procedures, high subjectivity, poor result accuracy and the like, if professional instruments in a laboratory are needed to be used for operation, and is suitable for auxiliary seed quality inspection. The other method is a direct test method, and the vitality of the seeds is judged by measuring indexes such as germination rate of the seeds in a laboratory, which is the most main method for quality test of the seeds. In the actual operation process, usually, a worker cultures a batch of seeds, takes out the culture dish at regular time every day to observe the germination condition of the seeds, and counts the number of the germinated seeds and the ungerminated seeds with tolerance. Compared with an indirect method, the method for manually detecting germination and counting germination rate does not need expensive equipment and strong professional ability, but has the defects of strong repeatability, large workload, very low efficiency, strong subjectivity, poor detection effect and the like. Therefore, a practical, efficient and simple-operation seed germination activity detection system based on an intelligent incubator is needed, and has important significance in promoting the development of agriculture and forestry.
Example 1:
as shown in fig. 1, the present embodiment provides a plant seed culture dish comprising a culture dish body 10, a culture dish wall 11, a transparent partition 12, a seed positioning groove 13 and germination paper 14;
the culture dish body 10 includes a plurality of culture units divided by a plurality of transparent partitions 12;
the seed positioning groove 13 is formed at the bottom of the culture unit;
the bottom of the culture unit is paved with the sprouting paper 14; in order to avoid the germination paper from shielding the seed positioning groove 13, a hole is formed in the germination paper 14 at the position of the seed positioning groove 13; it will be appreciated that the aperture is formed corresponding in shape and size to the mouth of the detent 13.
It is understood that the culture dish may be configured in a rectangular, circular, other polygonal or irregular shape, and the culture units may be divided into a rectangular, circular, other polygonal or irregular shape by a plurality of transparent partitions 12, and it is understood that the divided culture units may be a plurality of culture units having the same shape or a plurality of culture units having different shapes; the transparent partition 12 may be an acrylic transparent plate, or may be a transparent plate made of other materials;
in order to facilitate the identification of the germination quantity of seeds, in this embodiment, the rectangular culture dish body 10 is divided into a plurality of units by using the transparent partition 12, so as to prevent the roots from being staggered together in the growth process of different seeds and influence the identification effect of seeds. A seed positioning groove 13 is designed in the center of each unit, so that seeds are placed at fixed positions, the seeds are uniformly arranged, and the taken pictures are convenient for identifying germination of the seeds. The germination paper 14 is used to store moisture and provide sufficient moisture for seed germination. The culture dish can adopt the rectangle culture dish, and aim at makes its make full use of the shooting scope of camera, and under the certain circumstances of camera shooting scope, the seed quantity of shooing is the biggest.
Example 2:
as shown in fig. 2, the embodiment provides a plant seed germination checking device, which comprises an upper computer unit, an embedded control unit, an environment information acquisition unit, an environment information adjusting unit, an image information acquisition unit, a signal transmission unit, a culture dish fixing unit, a protection unit, a seed germination database and the like, wherein the working flow of the whole system is shown in fig. 6 and 7. Next, the mechanical structure composition in this embodiment is shown in fig. 2, 3, 4, and 1.
As shown in fig. 2, the incubator comprises a box body, which can be understood as an incubator, and each corner of the lower end of the box body is provided with a travelling wheel 1, so that the incubator is convenient to transport and move daily. The front of the box body is provided with a stainless steel door 2 which can be a double-layer stainless steel door, the double-layer stainless steel door can slow down the temperature and humidity change in the incubator, the upper computer 3, the embedded controller unit 4 and the like are convenient to install, and the upper computer 3 can be understood as an upper computer unit in the system. In other embodiments, the stainless steel door 2 is subjected to sealing, dampproof and anti-collision treatment by a conventional method, so that each unit such as the upper computer 3 is prevented from being affected by dampness to stably operate. An observation window 5 is arranged in the middle of the stainless steel door 2, and can be made of double-layer toughened glass, and sealing treatment is carried out by using sealing strips and sealant. The observation window 5 is arranged to facilitate observation of the working conditions of each unit inside the incubator, and temperature and humidity changes in the incubator caused by frequent opening and closing of the door are avoided, so that equipment energy consumption is reduced.
The upper computer 3 can be fixed in the stainless steel door 2 through an upper computer bracket 6 and is used for processing various information in real time and sending out correct control commands, which are equivalent to the brain of the incubator. The upper computer unit can use Qt Designer design and is provided with buttons such as species information, seed type, environmental control, sterilization interval time and times, start and stop work, photographing interval time, seed germination database and the like.
The embedded controller unit 4 can be installed below the stainless steel door 2 and is used for receiving the command of the upper computer unit, controlling the environment adjusting unit to adjust the environment of the incubator and controlling the image acquisition unit to acquire seed images. Specifically, the embedded control unit 4 includes, but is not limited to, an embedded controller such as a single chip microcomputer, a DSP, an FPGA, or/and an ARM, and peripheral devices such as an optocoupler isolation, a MOS transistor, or/and a triode. The embedded controller unit 4 receives an environment adjustment command of the upper computer 3 and combines the actual information acquired by the environment information acquisition unit to output a control amount to the environment adjustment unit after corresponding processing, adjusts the environment of the incubator, provides a proper environment for seed germination, and accelerates seed germination; meanwhile, the embedded control unit 4 also receives an image acquisition command of the upper computer 3, controls the image information acquisition unit to shoot an image of the seed culture dish, and records the germination condition of the seeds.
The culture dish fixing unit comprises a sliding rail 7, a clamping plate 8 and a culture dish fixing groove 9; in order to fully utilize the space of the seed incubator, the interior of the incubator is divided into a plurality of layers, such as three layers, and the layers are separated by the clamping plates 8, so that the seed incubator is convenient to detach and install daily. The clamping plates 8 are fixed in the incubator through the sliding rails 7, a plurality of grooves 9 for fixing the culture dishes are uniformly formed in each layer of clamping plates 8, movement of the culture dish main bodies 10 is prevented, the culture dish main bodies 10 are uniformly arranged, and further image information acquisition units can conveniently and circularly shoot seed images according to a scanning mode.
The culture dish unit, which includes the culture dish body 10, the culture dish wall 11, the transparent partition 12, the seed positioning groove 13, and the germination paper 14, is provided with all the features of the culture dish in example 1.
The image information acquisition unit is installed above each layer of clamping plates 8, and as shown in fig. 2 and 3, the image information acquisition unit comprises an image acquisition device, a screw rod 16, a coupler 17, a stepping motor 18, a nut seat 19, a limit switch and the like, and the image acquisition device can be set as an industrial camera 15. The industrial camera 15 is fixed on the nut seat 19, the stepper motor 18 drives the screw rod 16 to rotate through the coupler 17, so that the nut seat 19 is driven to move, and the industrial camera 15 is driven to scan and shoot images of the seed culture dish one by one, and as can be understood, a threaded sleeve matched with the screw rod 16 is arranged on the nut seat 19.
Specifically, the image information acquisition unit can comprise an industrial camera, a screw rod, a nut seat, a supporting seat, a wire rail, a coupler, a stepping motor driver, a limit switch and the like; the camera is fixed on the nut seat, and the stepping motor drives the screw rod to move through the coupler, so that the nut seat and the industrial camera are driven to move. The image information acquisition unit adopts two screw rods and is placed in a cross shape, so that the industrial camera can move in the XY direction, and further, all culture dishes on one layer of clamping plate of the incubator can be shot by using one camera, thereby reducing the cost; the industrial camera is used for collecting seed images in the culture dish; the limit switch is used for limiting the moving position of the industrial camera; it can be understood that the stepping motor, the nut seat, the screw rod and the like form a moving device for installing the image acquisition device and the nozzle, the stepping motor comprises a first stepping motor and a second stepping motor, the nut seat comprises a first nut seat and a second nut seat, the first stepping motor is fixed on the inner wall of the box body, the first stepping motor is connected with a first screw rod through a coupler, and the first nut seat is sleeved on the first screw rod through a threaded sleeve which is arranged or fixed on the first screw rod to realize the action in the X direction; the second stepping motor is fixed on a second nut seat, the second stepping motor is connected with a second screw rod through a coupler, the second nut seat is sleeved on the second screw rod through a threaded sleeve which is arranged or fixed on the second screw rod, the second screw rod is perpendicular to the first screw rod in the axial direction, the action in the Y direction is realized, and the industrial camera is fixed on the second nut seat; similarly, the arrangement of the nozzles and the operation in the XY direction can be realized with reference to this.
Each layer between the interlayer 8 in the incubator is provided with a sensor 24, a light supplementing lamp 25, a spray head 20 and the like, the sensors can comprise a temperature sensor, a humidity sensor, an illumination sensor, a carbon dioxide sensor and the like, all the sensors are uniformly distributed and installed inside the incubator, the internal environment information of the incubator is accurately acquired in real time, and then the acquired information is transmitted to the embedded control unit through the signal transmission unit, and specifically, the sensor 24 is used for accurately acquiring the temperature, the humidity and the illuminance inside the incubator. A refrigerator, a heater, a water tank, a water pump and the like are arranged at the bottom of the incubator, and the refrigerator and the heater can be understood as a refrigerating and heating device. An S-shaped gas pipe 22 and a water pipe 21 are installed on the rear wall of the incubator. The S-shaped gas pipeline uniformly conveys cold air generated by the refrigerator or hot air generated by the heating pipe to each layer of the incubator. The water pipe 21 connects the water pump and the nozzle 20. The nozzle 20 moves in translation with the rotation of the screw 16, thereby providing sufficient moisture to the seeds of each dish. Simultaneously, the exhaust fan 23 is installed at the incubator top for the exhaust vapor, guarantees the incasement circulation of air.
Specifically, the environmental conditioning unit includes, but is not limited to, a temperature conditioning unit, a humidity conditioning unit, an illumination conditioning and sterilization unit, and the like. In some embodiments, the temperature regulating unit may include a semiconductor refrigerator, a heating pipe, an S-type gas circulation pipe, a tank insulation layer, and the like; compared with a compressor, the semiconductor refrigeration has small volume, no noise and high refrigeration speed; the humidity adjusting unit comprises a spray head, a water tank, a water delivery pipeline, a water pump and the like; the illumination adjusting unit can comprise a light supplementing lamp, a light controller and the like; the sterilization unit may include an ultraviolet sterilization lamp; the environment adjusting unit can realize rapid and accurate adjustment of the environment of the incubator, so that the environment reaches the set value of the upper computer, and seed germination is promoted.
The working principle or process of the embodiment is as follows:
the plant name (Latin name) and seed type selected and cultivated by the staff are obtained, corresponding control parameters such as a temperature and humidity value, an illuminance value, a watering time interval, watering times and the like are automatically set by combining the integrated current seed germination standard specification and the experience of related experts, a selection prompt is given, the operator can confirm whether the plant is used or not, and condition parameters can be set independently. Meanwhile, a sterilization time interval and the number of times of sterilization may be set. And a plurality of units such as an embedded control unit, including but not limited to, a timing transmission image acquisition command, an environment adjustment command, and the like. And identifying the germination state of the seeds by using a deep learning target detection algorithm, counting the number of the germinated seeds and the ungerminated seeds, and calculating the germination rate, the average germination time, the initial germination time, the final germination time and the like. And displaying the photographed seed image, the result of identifying the seed image, and the like in real time. Intelligent personnel management mode: the method is provided with a plurality of login modes such as passwords, face recognition and the like, seed images and germination information in any time period can be quickly checked after successful login, and contents such as environmental conditions and the like can be synchronously displayed. The signal transmission unit consists of a plurality of industrial RS485 modules, is responsible for mutually transmitting commands and data among the units, has a transmission distance of more than kilometers, supports a plurality of slaves such as computers, mobile phones and the like, has strong anti-interference capability and has a lightning protection design. The protection unit comprises a controller protection unit and a sensor protection unit. The embodiment carries out dampproofing and anticollision processing to controller and sensor, and the purpose is in order to avoid moist environment factor and the human factor of incubator to cause it to damage, influences the steady operation of entire system.
Example 3:
the embodiment provides a plant seed cultivating device, which comprises a box body, wherein a clamping plate 8 is arranged in the box body; a plurality of culture dishes placed on the clamping plate 8; the culture dish comprises a culture dish main body 10 and a seed positioning groove 13, wherein the culture dish main body 10 comprises a plurality of culture units which are divided by a plurality of transparent partitions 12; the seed positioning groove 13 is formed at the bottom of the culture unit. The culture dish in this example has all the technical features of the culture dish in example 1, and the other structure has all the technical features of the incubator in example 2, but is different from example 2 only in that the detection content of seeds is not involved.
Example 4:
the embodiment provides a plant seed germination test method, which adopts the plant seed germination test device as in the embodiment 2, and mainly comprises the following steps:
s1, firstly, paving the germination paper 14 at the bottom of the culture dish main body 10, placing seeds in the culture dish main body 10, and then placing the culture dish main body 10 in the culture dish fixing groove 9 of the clamping plate.
S2, selecting plant types and seed types in the upper computer unit, wherein the current technical standard and expert experience can be integrated, so that the system can automatically set parameters such as temperature, humidity, illuminance, watering interval time, watering times and the like required by germination of plant seeds of the species according to the selected plant types and seed types. Meanwhile, the sterilization interval time and the sterilization times can also be set. For plants which do not have seed germination standardization standards at the present stage, the system can automatically give out seed germination information of the same-family and same-genus plants as a reference, and operators can also set seed germination conditions autonomously. Meanwhile, the system can perform experiments on the plant seeds, collect environment information and images in real time, analyze growth conditions, determine environment information required by germination of the seeds and the like. After the operation is completed, each unit inside the incubator can be seen to work orderly, and after a few minutes, the internal environment of the incubator reaches the target set value.
Specifically, a seed germination database is called through designed upper computer software; because the international seed inspection rules, national and industry seed germination standards and the experience of seed germination expert in domestic and foreign plant germplasm resource libraries are integrated, the system automatically provides parameter information such as temperature, illumination, humidity, initial and final counting time, seed germination pretreatment conditions and the like required by the germination of the plant seeds according to the selected plant academic name (Latin name), and for the plant seeds which have no standardization standard at the present stage, the system automatically provides the germination information of the same-family and same-genus plant seeds as a reference, an operator only needs to select whether to accept the condition or not, and the system can also be used for experiment to determine the germination condition of the seed of the type; meanwhile, an operator can set seed germination conditions autonomously; after the operation is completed, the upper computer sends the command to the embedded control unit through the signal transmission unit.
After receiving the command of the upper computer and checking, the embedded control unit analyzes the command frame, and then sends a control command signal in combination with the actual environment information of the incubator acquired by the environment information acquisition unit to control the environment adjusting unit to adjust the environment of the incubator so as to achieve the environment suitable for seed germination.
S3, setting photographing interval time in the upper computer, and after the setting is finished, the stepper motor can be seen to be started and closed circularly through the observation window 5 of the incubator. By the co-operating rotation of the two crossed stepper motors 18, the nut mount 19 is moved along the whole plane, the camera 15 hovers obliquely above each culture dish. When the camera 15 hovers above the culture dish, a photographing program is automatically started, and photographed pictures are stored in a local or cloud folder according to a certain sequence and named according to the current photographing date and time.
Specifically, the upper computer sends the image acquisition command to the embedded control unit at regular time according to the photographing interval time set in the upper computer. After receiving the image acquisition command, the embedded control unit controls the image acquisition unit to shoot the images of the culture dishes one by one in a scanning mode. The method for shooting pictures in a scanning mode can reduce the number of cameras and reduce the cost. Meanwhile, the system can upload the photographed pictures of different seed types to different folders of a local or cloud end, and names the pictures according to the current photographed date and time, so that the pictures are convenient for workers to check in the future.
And carrying out feature analysis on the acquired seed image, and extracting the geometric form of the seed, the length and the area of buds and roots according to the features such as the texture of the image.
And S4, automatically identifying the number of germinated seeds and ungerminated seeds in the stored picture by adopting a trained improved deep learning model, calculating germination information such as germination rate, average germination time, initial germination time, final germination time and the like, storing the germination information into a csv file, and synchronously displaying the germination information into an upper computer.
Specifically, the upper computer automatically identifies the number of germinated seeds and unmalted seeds in a shot picture by adopting a deep learning model, calculates various germination parameters such as seed germination rate, average germination time, initial germination time, final germination time and the like, automatically stores the germination parameters in a csv file, and synchronously displays the germination parameters in the upper computer to form a germination curve graph. And combining the image characteristics extracted in the previous step with the type of cultivated seeds, determining the germination condition of the seeds, pushing the information to related specialists, and better providing accurate guidance comments.
S5, a worker logs in the system through a password or a face brushing mode to check the stored seed images and the identification results, and specifically, the results of the seed images, the seed germination rate, the environmental condition parameters and the like shot in any time period can be checked.
The specific flow is shown in fig. 8, and the recognition results are shown in fig. 9, 10, 11, 12 and 13.
The embodiment uses an improved deep learning algorithm, is less influenced by environmental interference, and can accurately identify the germination state of seeds in strong light and darker complex environments as shown in fig. 10 and 11, thereby improving the detection precision. FIG. 12 shows the accurate identification of the location of shoots and roots in an image.
The specific algorithm flow for identifying the germination rate of seeds comprises the following steps:
a seed dataset is acquired. And collecting seed sprouting and non-sprouting pictures under various angles and various backgrounds by using an image information collecting unit or auxiliary image collecting equipment, so as to complete the collection work of a seed data set, and collecting more than 3000 samples in total. And carrying out data cleaning on 3000 collected seed samples, removing blurred and repeated pictures, and improving the sample quality. Data enhancement operations such as geometric transformation, addition of gaussian noise, color perturbation, image stitching, background fusion, etc. are then performed. After the data enhancement operation, the number of the seed data set pictures reaches approximately 5000, and the number of the labels reaches approximately 10000.
Gaussian noise is added in the dataset:
the probability density function of gaussian noise follows a normal distribution, which will produce some random values superimposed on the pixels of the seed image, and then yield the seed image after adding noise, with the formula:
where μ represents the average value of the pixel values, and σ represents the standard deviation of the pixel values.
And modifying and training the network model to obtain the optimal weight. The Yolov5 trunk feature extraction network adopts a C3 structure, so that larger parameter quantity is brought, the detection speed is lower when the germination state of seeds is detected, and a high-performance computer is required to meet the actual application. In order to better apply the model to a seed detection system and reduce the product cost, the invention replaces a trunk feature extraction network of YOLOv5 with a more lightweight MobileNet network so as to realize the light weight of the network model, thereby being convenient for being deployed on embedded industrial equipment with low cost and low performance and accelerating the speed of detecting the germination state of seeds.
The specific operation steps are as follows: modify common. Py file in YOLOv5 code, add MobileNetV3 module and register the module in yolo. Py file, then modify corresponding yaml file. The collected seed data set is then transferred to an improved Yolov5 model, training is started by using an RTX3090 display card, and finally an optimal weight is selected by a plurality of indexes such as a comparison Precision (P), a Recall ratio (R), an average Precision (Average Precision, AP), an average Precision (Mean Average Precision, mAP) and the like to predict the germination state of the seeds.
The larger P, R, AP and mAP indicate better model training, and the specific calculation formula is as follows.
Wherein TP is the number of positive samples correctly identified as positive samples, FP is the number of negative samples incorrectly identified as positive samples, FN is the number of positive samples incorrectly identified as negative samples, and N is the total number of categories of the detection seed.
The optimal weights are selected using the above evaluation index, and the optimal weights are input into a detection model to identify the number of germinated and unmalted seeds in the captured image. And calculating the germination rate. The germination rate is calculated as follows:
wherein, alpha is the number of seeds sprouted in the algorithm identification seed image, beta is the number of seeds not sprouted in the identification seed image, alpha+beta is the total number of seeds in the image, and germ_per is the calculated sprouting rate.
Judging the germination standard of the seeds, and judging the seeds with the lengths of more than or equal to 2mm to germinate when the radicle lengths of the seeds reach 2 mm; for seeds with a seed length < 2mm, germination was determined when the radicle length reached the seed length.
The average germination time (MGT) of the seeds, the initial germination time and the final germination time are calculated by the method, wherein the average germination time of the seeds is as follows:
MGT＝∑(D n )/∑n
where MGT represents average germination time, n represents number of germination per day, and D represents germination time (day).
Initial germination time (T) 1 ) Refers to the time (day) of germination of the first seed of the batch of seeds, the final germination time (T f ) The time (day) of germination of the last seed of the batch of seeds is defaulted to be the day, and if the time is required to be modified to be the hour, the time can be set in an upper computer system.
And packaging the model, deploying the model to an upper computer unit, and performing visual display. And the model and the environment on which the model depends are packaged into exe, so that the model is convenient to deploy into an upper computer, and the actual application is further obtained. Meanwhile, in order to enable non-professional technicians to operate, a visual operation interface is designed by using the Qt Designer, and the operation is simple.
The method, the plant seed germination checking device and the cultivating device are combined, full automation and intellectualization of the whole process from identifying seed germination to cultivating seedlings are realized, the method comprises the steps of automatically setting target values of environmental parameters such as temperature and humidity and illuminance according to current standards and expert experience, effectively intervening germination environments, automatically shooting and storing images of the seed germination process, recording the whole process of seed germination, detecting seed pictures and counting germination rate, monitoring and guiding analysis of growth conditions in the seed germination process and the like, and further realizing remote real-time dynamic monitoring and weight setting of computers, mobile phones and the like. For plant seeds without expert experience and normative standards, the system can perform experiments on the plant seeds to determine environmental information and the like required by germination of the seeds. Meanwhile, the image acquisition unit is combined with an improved deep learning algorithm, so that the germination condition of seeds in a complex image can be accurately identified, the germination rate, the detection precision and the detection efficiency of the seeds are improved, and the workload of technicians is reduced to the greatest extent.
The above description is only a preferred embodiment of the present embodiment, and is not intended to limit the present embodiment, and various modifications and variations can be made to the present embodiment by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present embodiment should be included in the protection scope of the present embodiment.
Claims (7)
1. The plant seed germination test method is characterized by adopting a plant seed germination test device and comprising the following steps:
acquiring an image containing seeds in real time;
after an image containing seeds is acquired, a plurality of random values are overlapped on pixel points of the seed image through a noise processing method, and the seed image after noise is added is obtained;
selecting an optimal weight for predicting the germination state of seeds by comparing a plurality of values of the precision rate, the recall rate, the average precision and the average precision according to the seed image after noise is added by adopting a Yolov5 model;
inputting the optimal weight into the model to identify the number of germinated seeds and the number of unmalted seeds;
obtaining the number of germinated seeds and unmalted seeds in the image according to a preset deep learning model;
calculating the germination starting rate, average germination time, initial germination time and final germination time according to the number of germinated seeds and unmalted seeds;
the plant seed germination inspection device comprises:
the box body is internally provided with a clamping plate;
a plurality of culture dishes placed on the clamping plate; the culture dish includes: a culture dish main body including a plurality of culture units divided by a plurality of transparent partitions; the seed positioning groove is formed in the bottom of the culture unit;
the image acquisition equipment is arranged at the upper part in the box body through the moving device;
the upper computer unit is provided with species information, seed types, environmental control, sterilization interval time and times, start and stop work, photographing interval time and seed germination database buttons;
the embedded controller unit receives the environment regulation command of the upper computer unit and combines the actual information acquired by the environment information acquisition unit to output a control quantity to the environment regulation unit after corresponding treatment, regulates the environment of the incubator, provides a proper environment for seed germination and accelerates seed germination; meanwhile, the embedded controller unit also receives an image acquisition command of the upper computer unit, controls the image information acquisition unit to shoot an image of the seed culture dish, and records seed germination conditions;
the image information acquisition unit adopts two screw rods and is placed in a cross shape, so that the industrial camera can move in the XY direction, and then all culture dishes on one layer of clamping plate of the incubator can be shot by using one camera.
2. The method for inspecting germination of plant seeds according to claim 1, wherein the bottom of the culture unit is laid with germination paper; holes are formed in the germination paper at the positions of the seed positioning grooves.
3. A plant seed germination test method as set forth in claim 1, wherein said moving means comprises a stepper motor, a nut mount and a screw; the stepping motor comprises a first stepping motor and a second stepping motor, and the nut seat comprises a first nut seat and a second nut seat; the first stepper motor is fixed on the inner wall of the box body, the first stepper motor is connected with a first screw rod through a coupler, a first nut seat is sleeved on the first screw rod, the second stepper motor is fixed on a second nut seat, the second stepper motor is connected with a second screw rod through a coupler, the second nut seat is sleeved on the second screw rod, the second screw rod is perpendicular to the axial direction of the first screw rod, and the second nut seat is fixedly provided with image acquisition equipment.
4. A plant seed germination test method as defined in claim 3, wherein said second nut seat has a nozzle fixed thereon.
5. The plant seed germination inspection method as set forth in claim 1, wherein the upper wall of the box body is provided with an exhaust fan, the side wall in the box body is provided with a temperature and humidity sensor, the rear wall in the box body is provided with an S-shaped gas pipeline, and the S-shaped gas pipeline is connected with an air heating and refrigerating device.
6. The plant seed germination test method of claim 1, wherein the plurality of clamping plates are detachably arranged in the box body through sliding rails fixed on the inner side wall of the box body respectively; the upper wall in the box body and the lower end of at least one clamping plate are both provided with light supplementing lamps.
7. A plant seed germination test method as set forth in claim 1, wherein the door of the box is provided with an observation window; the bottom of the box body is provided with travelling wheels.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210925880.8A CN115152357B (en) | 2022-08-03 | 2022-08-03 | Plant seed culture dish, germination checking device, cultivation device and germination method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210925880.8A CN115152357B (en) | 2022-08-03 | 2022-08-03 | Plant seed culture dish, germination checking device, cultivation device and germination method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN115152357A CN115152357A (en) | 2022-10-11 |
| CN115152357B true CN115152357B (en) | 2024-02-02 |
Family
ID=83477967
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210925880.8A Active CN115152357B (en) | 2022-08-03 | 2022-08-03 | Plant seed culture dish, germination checking device, cultivation device and germination method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115152357B (en) |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115507898A (en) * | 2022-10-18 | 2022-12-23 | 曾昭佳 | Detection device and method for mountain forestry planting based on plant growth conditions |
| CN116137990B (en) * | 2023-04-19 | 2023-07-18 | 黑龙江省农业科学院绥化分院 | Detection device for germination capacity of rice seeds |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN204810887U (en) * | 2015-05-20 | 2015-12-02 | 武晓利 | Percentage of seedgermination detects incubator |
| CN106717292A (en) * | 2016-12-16 | 2017-05-31 | 常州市环境监测中心 | A kind of chamber tested for germination and root elongation inhibition |
| CN107278427A (en) * | 2017-08-22 | 2017-10-24 | 山东省农作物种质资源中心 | A kind of easily operated rice seed germination pad |
| CN108401604A (en) * | 2018-02-13 | 2018-08-17 | 河南科技大学 | A kind of type of seeding and its application suitable for germination test in small diameter grade seed chamber |
| CN208191212U (en) * | 2018-03-09 | 2018-12-07 | 山东农业大学 | A kind of seed sprouting culture apparatus being easily isolated root and seedling |
| CN109716892A (en) * | 2019-03-15 | 2019-05-07 | 中国农业大学 | A kind of seed germination experiment monitoring culture apparatus and method |
| CN110313268A (en) * | 2019-07-16 | 2019-10-11 | 天津绿茵景观生态建设股份有限公司 | A method of utilizing culture apparatus Rapid identification seed salt tolerance |
| CN212413760U (en) * | 2020-04-22 | 2021-01-29 | 贵州筑农科种业有限责任公司 | Constant-temperature incubator for rice seed germination rate |
| CN213044116U (en) * | 2020-06-18 | 2021-04-27 | 武汉恩禾农业科技有限责任公司 | Hybrid rice seed quality control is with case that sprouts |
| JP2021157548A (en) * | 2020-03-27 | 2021-10-07 | Ｎｔｔテクノクロス株式会社 | Germination determination device and program |
-
2022
- 2022-08-03 CN CN202210925880.8A patent/CN115152357B/en active Active
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN204810887U (en) * | 2015-05-20 | 2015-12-02 | 武晓利 | Percentage of seedgermination detects incubator |
| CN106717292A (en) * | 2016-12-16 | 2017-05-31 | 常州市环境监测中心 | A kind of chamber tested for germination and root elongation inhibition |
| CN107278427A (en) * | 2017-08-22 | 2017-10-24 | 山东省农作物种质资源中心 | A kind of easily operated rice seed germination pad |
| CN108401604A (en) * | 2018-02-13 | 2018-08-17 | 河南科技大学 | A kind of type of seeding and its application suitable for germination test in small diameter grade seed chamber |
| CN208191212U (en) * | 2018-03-09 | 2018-12-07 | 山东农业大学 | A kind of seed sprouting culture apparatus being easily isolated root and seedling |
| CN109716892A (en) * | 2019-03-15 | 2019-05-07 | 中国农业大学 | A kind of seed germination experiment monitoring culture apparatus and method |
| CN110313268A (en) * | 2019-07-16 | 2019-10-11 | 天津绿茵景观生态建设股份有限公司 | A method of utilizing culture apparatus Rapid identification seed salt tolerance |
| JP2021157548A (en) * | 2020-03-27 | 2021-10-07 | Ｎｔｔテクノクロス株式会社 | Germination determination device and program |
| CN212413760U (en) * | 2020-04-22 | 2021-01-29 | 贵州筑农科种业有限责任公司 | Constant-temperature incubator for rice seed germination rate |
| CN213044116U (en) * | 2020-06-18 | 2021-04-27 | 武汉恩禾农业科技有限责任公司 | Hybrid rice seed quality control is with case that sprouts |
Non-Patent Citations (1)
| Title |
|---|
| 基于YOLOv3模型的发芽马铃薯图像识别;王飞云等;《马铃薯产业与绿色发展》;第386-387页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN115152357A (en) | 2022-10-11 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN115152357B (en) | Plant seed culture dish, germination checking device, cultivation device and germination method | |
| WO2021082537A1 (en) | Crop phenotype high-throughput acquisition apparatus and climate chamber | |
| CN105717115B (en) | High-throughput Plant phenotypic analysis device and method based on optical image technology | |
| WO2021151287A1 (en) | Movable phenotypic cabin for obtaining and analyzing phenotype of field crop | |
| US10123489B2 (en) | Plant growth system and method for controlling plant growth | |
| WO2021082655A1 (en) | Rhizo-box for acquiring crop phenotype | |
| CN102565061B (en) | Crop biomass nondestructive testing image acquisition and processing device and testing method | |
| JP5593255B2 (en) | Vegetation control device, plant breeding system | |
| CN103257109A (en) | Detection system and method for total number of bacteria in livestock meat | |
| CN112595367A (en) | Rice root system property nondestructive measurement device based on intelligent robot | |
| CN114190267A (en) | System for regulating and controlling growth environment of hydroponic plants and acquiring phenotype images | |
| CN106647889B (en) | One kind is based on monolithic processor controlled seed germination experiment aid decision-making system | |
| WO2021151286A1 (en) | Field crop root phenotype acquisition system | |
| CN106546569B (en) | A kind of screening technique and device of the plant drought resistance mutant of high throughput | |
| CN217523496U (en) | System for regulating and controlling growth environment of hydroponic plants and acquiring phenotype images | |
| CN101911927A (en) | Incubation method for enhancing day hatchability rate of silkworm eggs | |
| CN108064531A (en) | Device is applied in a kind of light simplified greenhouse liquid manure filling | |
| CN211510015U (en) | Crop phenotype high-throughput acquisition device and climate chamber | |
| CN212363084U (en) | Movable phenotype cabin for obtaining and analyzing field crop phenotypes | |
| CN110064601B (en) | Seedling detection and classification system and classification method for vegetable grafting | |
| CN210374999U (en) | Root box for acquiring crop phenotype | |
| CN115443826B (en) | Fine light regulation and control method and system for healthy seedling cultivation | |
| TW202119150A (en) | Growth environment monitoring method and system for bag-type cultivated mushrooms including an external field growth environmental factor sensing unit, an internal field growth environmental factor sensing unit, an image acquisition module, a piece of environment control equipment and a control unit | |
| CN216491883U (en) | Seed cultivation observation box | |
| Lin et al. | 3D reconstruction based plant-monitoring and plant-phenotyping platform |
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 | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |