CN105737737A - Indoor crop phenotype detection system - Google Patents
Indoor crop phenotype detection system Download PDFInfo
- Publication number
- CN105737737A CN105737737A CN201610310098.XA CN201610310098A CN105737737A CN 105737737 A CN105737737 A CN 105737737A CN 201610310098 A CN201610310098 A CN 201610310098A CN 105737737 A CN105737737 A CN 105737737A
- Authority
- CN
- China
- Prior art keywords
- main body
- body frame
- detection system
- indoor
- examination system
- 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
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B11/00—Measuring arrangements characterised by the use of optical techniques
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Length Measuring Devices By Optical Means (AREA)
Abstract
An indoor crop phenotype detection system comprises a main body frame. Four edges of the main body frame are supported on the ground by a plurality of upright columns. Two parallel longitudinal tracks are installed on the bottom part of the main body frame. A transverse track is connected to the bottom parts of the two longitudinal tracks. Instrument installation racks are installed on the bottom part of the transverse track. A multi-sensor integrated assembly is installed on the bottom part of the instrument installation rack. According to the invention, the indoor crop phenotype detection system is capable of realizing that the multi-sensor integrated assembly moves on any position in a two-dimensional plane formed by the longitudinal tracks and the transverse track, capable of directly obtaining the three-dimensional phenotype structure of crops, high in precision, high in speed, large in data amount, and capable of realizing precise position positioning by means of a PLC control system and further to scan plants under the main body frame; in addition, a plurality of sensors are unified to carry out data scanning and collection on one plant, the precision is substantially improved, and the indoor crop phenotype detection system is worth popularizing.
Description
Technical field
The present invention relates to plant phenotype detection field, especially a kind of indoor crops Phenotypic examination system.
Background technology
Plant phenotype mainly includes leaf morphology, stem stalk phenotype, fruit phenotype, seed phenotypes and fringe phenotype etc..Involved concrete phenotypic parameter is that leaf length, Ye Kuan, leaf area, plant height, stem be thick, fruit is length, seed germination rate, straight/curved fringe etc..The analysis of plant phenotype parameter is closely bound up with breeding.The acquisition of traditional phenotypic data carries out mainly by software analysis after hand dipping and photograph.Hand dipping can obtain the indexs such as plant diameter, leaf length, lobe numbers, software analysis or can obtain the indexs such as the leaf length of plant, Ye Kuan, leaf area, Leaf inclination by leaf area instrument after photograph.These are measured and are required for the cost plenty of time, and measurement result accuracy is relatively low, intricate operation, and workload is big, and these shortcomings greatly limit the efficiency of Large scale genetic breeding screening.In view of substantial amounts of plant phenotype group data, the coupling of phenotypic information is huge to the Research Significance of functional genomics, it is necessary to design a kind of equipment that can accurately obtain crop three-dimensional Phenotype.
Summary of the invention
It is desirable to provide a kind of movement being capable of multiple-sensor integration assembly optional position in the two dimensional surface that longitudinal rail, cross slide way are constituted, there is the ability directly obtaining crop three-dimensional Phenotype, and precision is high, speed is fast, the indoor crops Phenotypic examination system that data volume is big.
For achieving the above object, the present invention provides following technical scheme: indoor crops Phenotypic examination system, including main body frame, four limits of described main body frame are by several upright supports on the ground, two longitudinal rails being arranged side by side are installed in the bottom of main body frame, the bottom of these two longitudinal rails connects horizontal rail, and the bottom of this transverse direction rail is provided with instrument installing rack, and multiple-sensor integration assembly is installed in the bottom of instrument installing rack.
Further scheme as the present invention: described multiple-sensor integration assembly is collectively constituted by three-dimensional laser scanner, imaging EO-1 hyperion instrument, high resolution camera, thermal infrared camera.
Further scheme as the present invention: described main body frame is located at the top of plant.
Further scheme as the present invention: this indoor crops Phenotypic examination system connects PLC control system.
Compared with prior art, the invention has the beneficial effects as follows: this indoor crops Phenotypic examination system is capable of the movement of multiple-sensor integration assembly optional position in the two dimensional surface that longitudinal rail, cross slide way are constituted, there is the ability directly obtaining crop three-dimensional Phenotype, and precision is high, speed is fast, data volume is big, and accurate location positioning can be realized by PLC control system, plant under main body frame is scanned, certain plant is scanned data acquisition by multiple sensor unifications, precision is greatly improved, and is worth promoting.
Accompanying drawing explanation
Fig. 1 is the principal section figure of the present invention；
Fig. 2 is the side view of the present invention；
Fig. 3 is the top view of main body frame；
Fig. 4 is the operation principle simplified schematic diagram of the present invention.
Detailed description of the invention
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is clearly and completely described, it is clear that described embodiment is only a part of embodiment of the present invention, rather than whole embodiments.Based on the embodiment in the present invention, the every other embodiment that those of ordinary skill in the art obtain under not making creative work premise, broadly fall into the scope of protection of the invention.
Refer to Fig. 1-4, in the embodiment of the present invention, indoor crops Phenotypic examination system, including main body frame 1, four limits of described main body frame 1 support on the ground by several columns 2, and two longitudinal rails 3 being arranged side by side are installed in the bottom of main body frame 1, and the bottom of these two longitudinal rails 3 connects horizontal rail 4, the bottom of this transverse direction rail 4 is provided with instrument installing rack 5, and multiple-sensor integration assembly 6 is installed in the bottom of instrument installing rack 5.
Further, described multiple-sensor integration assembly 6 is collectively constituted by three-dimensional laser scanner, imaging EO-1 hyperion instrument, high resolution camera, thermal infrared camera, becomes one, and is used for carrying out multisource data fusion, to extract the parameter of higher precision.
The operation principle of the present invention: horizontal rail 4 can longitudinally vertically move by guide rail, instrument installing rack 5 can along cross road rail transverse shifting, the movement of multiple-sensor integration assembly optional position in the two dimensional surface that longitudinal rail, cross slide way are constituted is realized with this, accurate location positioning can be realized according to PLC control system, plant under main body frame 1 is scanned, and certain plant is scanned data acquisition by multiple sensor unifications.
This equipment mainly with three-dimensional laser scanner (also referred to as laser radar, english abbreviation LiDAR), it is compared to the technology of traditional simple system using bidimensional image acquiring technology to carry out data acquisition (using collected by camera crop phenotype data), it has the ability directly obtaining crop three-dimensional Phenotype, and precision is high, speed is fast, and data volume is big.It adopts the mode actively measured, not by ambient light interference.Under the premise based on three-dimensional laser radar, native system platform intergration multiple sensors, including imaging EO-1 hyperion instrument, high resolution camera and thermal infrared camera etc., it is used for carrying out multisource data fusion, to extract the parameter of higher precision.
It is obvious to a person skilled in the art that the invention is not restricted to the details of above-mentioned one exemplary embodiment, and when without departing substantially from the spirit of the present invention or basic feature, it is possible to realize the present invention in other specific forms.Therefore, no matter from which point, embodiment all should be regarded as exemplary, and be nonrestrictive, the scope of the invention rather than described above limits, it is intended that all changes in the implication of the equivalency dropping on claim and scope included in the present invention.Any accompanying drawing labelling in claim should be considered as the claim that restriction is involved.
In addition, it is to be understood that, although this specification is been described by according to embodiment, but not each embodiment only comprises an independent technical scheme, this narrating mode of description is only for clarity sake, description should be made as a whole by those skilled in the art, and the technical scheme in each embodiment through appropriately combined, can also form other embodiments that it will be appreciated by those skilled in the art that.
Claims (4)
1. indoor crops Phenotypic examination system, including main body frame (1), it is characterized in that, four limits of described main body frame (1) are supported on the ground by several columns (2), two longitudinal rails (3) being arranged side by side are installed in the bottom of main body frame (1), the bottom of these two longitudinal rails (3) connects horizontal rail (4), and the bottom of this transverse direction rail (4) is provided with instrument installing rack (5), and multiple-sensor integration assembly (6) is installed in the bottom of instrument installing rack (5).
2. indoor crops Phenotypic examination system according to claim 1, it is characterised in that described multiple-sensor integration assembly (6) is collectively constituted by three-dimensional laser scanner, imaging EO-1 hyperion instrument, high resolution camera, thermal infrared camera.
3. indoor crops Phenotypic examination system according to claim 1, it is characterised in that described main body frame (1) is located at the top of plant (21).
4. indoor crops Phenotypic examination system according to claim 1, it is characterised in that this indoor crops Phenotypic examination system connects PLC control system.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610310098.XA CN105737737A (en) | 2016-05-12 | 2016-05-12 | Indoor crop phenotype detection system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610310098.XA CN105737737A (en) | 2016-05-12 | 2016-05-12 | Indoor crop phenotype detection system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN105737737A true CN105737737A (en) | 2016-07-06 |
Family
ID=56288399
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610310098.XA Pending CN105737737A (en) | 2016-05-12 | 2016-05-12 | Indoor crop phenotype detection system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN105737737A (en) |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106403820A (en) * | 2016-11-09 | 2017-02-15 | 中国科学院植物研究所 | High-flux collection system for phenotypic data of field crops |
| CN106840269A (en) * | 2017-03-30 | 2017-06-13 | 中国科学院植物研究所 | A kind of plant phenotype multi-source data acquiring system |
| CN107577233A (en) * | 2017-09-09 | 2018-01-12 | 华中农业大学 | A kind of automatic fast-positioning device and method applied to crop field cell rice plant parameter detecting |
| CN107830816A (en) * | 2017-11-30 | 2018-03-23 | 杭州电子科技大学 | A kind of there-dimensional laser scanning device and its scan method applied to green plant |
| CN109141238A (en) * | 2018-08-27 | 2019-01-04 | 海盐昆植生物技术有限公司 | Bark cambered surface phenotypic data standardized monitoring assistor |
| CN109387247A (en) * | 2018-12-04 | 2019-02-26 | 上海乾菲诺农业科技有限公司 | A kind of mobile high-throughput plant phenotype system and its collecting method |
| CN110612843A (en) * | 2019-10-28 | 2019-12-27 | 南京农业大学 | Crop phenotype high-throughput acquisition device and climate chamber |
| CN112129223A (en) * | 2020-10-09 | 2020-12-25 | 大连交通大学 | Inclined cable saddle detection device for different angles and implementation method |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN202634550U (en) * | 2012-04-27 | 2012-12-26 | 四川农业大学 | Plant image collection apparatus |
| CN204064263U (en) * | 2014-09-09 | 2014-12-31 | 上海乾菲诺农业科技有限公司 | A kind of laser three-D plant imaging device |
| CN104748677A (en) * | 2015-02-11 | 2015-07-01 | 中国矿业大学(北京) | Method of measuring plant morphology by adopting three-dimensional laser scanner way |
| CN205120056U (en) * | 2015-08-12 | 2016-03-30 | 型云科技（上海）有限公司 | Three -dimensional phenotype measuring device of plant |
| CN205619880U (en) * | 2016-05-12 | 2016-10-05 | 中国科学院植物研究所 | Indoor crop phenotype detecting system |
-
2016
- 2016-05-12 CN CN201610310098.XA patent/CN105737737A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN202634550U (en) * | 2012-04-27 | 2012-12-26 | 四川农业大学 | Plant image collection apparatus |
| CN204064263U (en) * | 2014-09-09 | 2014-12-31 | 上海乾菲诺农业科技有限公司 | A kind of laser three-D plant imaging device |
| CN104748677A (en) * | 2015-02-11 | 2015-07-01 | 中国矿业大学(北京) | Method of measuring plant morphology by adopting three-dimensional laser scanner way |
| CN205120056U (en) * | 2015-08-12 | 2016-03-30 | 型云科技（上海）有限公司 | Three -dimensional phenotype measuring device of plant |
| CN205619880U (en) * | 2016-05-12 | 2016-10-05 | 中国科学院植物研究所 | Indoor crop phenotype detecting system |
Non-Patent Citations (1)
| Title |
|---|
| 杨贵军 等: "农用无人机多传感器遥感辅助小麦育种信息获取", 《农业工程学报》 * |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106403820A (en) * | 2016-11-09 | 2017-02-15 | 中国科学院植物研究所 | High-flux collection system for phenotypic data of field crops |
| CN106840269A (en) * | 2017-03-30 | 2017-06-13 | 中国科学院植物研究所 | A kind of plant phenotype multi-source data acquiring system |
| CN107577233A (en) * | 2017-09-09 | 2018-01-12 | 华中农业大学 | A kind of automatic fast-positioning device and method applied to crop field cell rice plant parameter detecting |
| CN107830816A (en) * | 2017-11-30 | 2018-03-23 | 杭州电子科技大学 | A kind of there-dimensional laser scanning device and its scan method applied to green plant |
| CN107830816B (en) * | 2017-11-30 | 2019-10-18 | 杭州电子科技大学 | A kind of 3 D laser scanning method applied to green plant |
| CN109141238A (en) * | 2018-08-27 | 2019-01-04 | 海盐昆植生物技术有限公司 | Bark cambered surface phenotypic data standardized monitoring assistor |
| CN109387247A (en) * | 2018-12-04 | 2019-02-26 | 上海乾菲诺农业科技有限公司 | A kind of mobile high-throughput plant phenotype system and its collecting method |
| CN110612843A (en) * | 2019-10-28 | 2019-12-27 | 南京农业大学 | Crop phenotype high-throughput acquisition device and climate chamber |
| CN112129223A (en) * | 2020-10-09 | 2020-12-25 | 大连交通大学 | Inclined cable saddle detection device for different angles and implementation method |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105737737A (en) | Indoor crop phenotype detection system | |
| Wu et al. | Assessment of individual tree detection and canopy cover estimation using unmanned aerial vehicle based light detection and ranging (UAV-LiDAR) data in planted forests | |
| Tonkin et al. | Ground-control networks for image based surface reconstruction: An investigation of optimum survey designs using UAV derived imagery and structure-from-motion photogrammetry | |
| Bauwens et al. | Forest inventory with terrestrial LiDAR: A comparison of static and hand-held mobile laser scanning | |
| US11436824B2 (en) | Water stress detection method for tomatoes in seedling stage based on micro-CT and polarization-hyperspectral imaging multi-feature fusion | |
| CN109556511A (en) | A kind of suspension-type high throughput hothouse plants phenotype measuring system based on multi-angle of view RGB-D integration technology | |
| Reutebuch et al. | Light detection and ranging (LIDAR): an emerging tool for multiple resource inventory | |
| Hird et al. | Use of unmanned aerial vehicles for monitoring recovery of forest vegetation on petroleum well sites | |
| Kaartinen et al. | An international comparison of individual tree detection and extraction using airborne laser scanning | |
| CN102384767B (en) | Nondestructive detection device and method for facility crop growth information | |
| White et al. | Forest roads mapped using LiDAR in steep forested terrain | |
| Taddia et al. | UAVs for structure-from-motion coastal monitoring: a case study to assess the evolution of embryo dunes over a two-year time frame in the Po River Delta, Italy | |
| Liang et al. | Detecting changes in forest structure over time with bi-temporal terrestrial laser scanning data | |
| Lovitt et al. | Assessing the value of UAV photogrammetry for characterizing terrain in complex peatlands | |
| Thompson et al. | Comparing nadir and multi-angle view sensor technologies for measuring in-field plant height of upland cotton | |
| Jochem et al. | Estimation of aboveground biomass in alpine forests: a semi-empirical approach considering canopy transparency derived from airborne LiDAR data | |
| Ćwiąkała et al. | Assessment of the possibility of using unmanned aerial vehicles (UAVs) for the documentation of hiking trails in alpine areas | |
| CN107796331B (en) | Soil surface form monitoring device, the monitoring of soil surface form and data analysing method based on push-broom type LiDAR | |
| MX2011011493A (en) | Biometric measurement systems and methods. | |
| CN111693551B (en) | Nondestructive measurement device and method for three-dimensional characters of rice plants and roots | |
| Fayad et al. | Terrain slope effect on forest height and wood volume estimation from GEDI data | |
| Roberts et al. | Mobile terrestrial photogrammetry for street tree mapping and measurements | |
| CN105547152A (en) | Crop phenotype field high-flux active measuring apparatus and method | |
| Fernández et al. | Multitemporal analysis of gully erosion in olive groves by means of digital elevation models obtained with aerial photogrammetric and LiDAR data | |
| Saremi et al. | Sub-compartment variation in tree height, stem diameter and stocking in a Pinus radiata D. Don plantation examined using airborne LiDAR data |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20160706 |
|
| RJ01 | Rejection of invention patent application after publication |