CN103942835B - The construction method of Brassica campestris L population model - Google Patents
The construction method of Brassica campestris L population model Download PDFInfo
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Abstract
The invention discloses the construction method of a kind of Brassica campestris L population model, comprise the following steps: S1: obtain Brassica campestris L colony field data；S2: obtain Brassica campestris L colony house data；S3: build individual plant Brassica campestris L model；S4: build Brassica campestris L population model.The invention have the advantages that, the construction method of Brassica campestris L population model is set up described in the application of the invention, revert to field growth in situ state by conversion and set up field reduced form Brassica campestris L population model, there is model validity high, error is little, modeling work amount is little, and method is simple, advantage with low cost.
Description
Technical field
The present invention relates to the plant computer Dummy modeling field in terms of agricultural, be specifically related to the construction method of a kind of Brassica campestris L population model.
Background technology
It is referred to as virtual plant model, also referred to as numeral plant model, it is possible to play an important role in crop breeding, cultivation and landscape design with the structural model of computer simulating plant three-D space structure.In plant virtual 3d structure scale-model investigation, plant population based on measured data model construction and research, the most representational is maize population model and Rice Population model, but Leaf-Blade of Poaceae is long and narrow, fairly simple, have only to measure leaf margin and middle arteries and veins can set up leaf model, thus set up population model.And brassica napus inflorescence is complicated, branch, flower and pod quantity are many, and modeling difficulty is big, and rape leaf is more compared with big, curling, gauffer, it is difficult to measures and models, and cause the method can not promote the use of in structure Brassica campestris L population model.
Researcher is had to establish the population model of Nicotiana tabacum L., method is as follows: use 3D digitizer at the profile of field measurement blade, set up the population model of profile, in indoor spatial digitizer scanning space form, by computerized algorithm among indoor scanning filling to profile.Thus set up the population model of Nicotiana tabacum L..Nicotiana tabacum L. is also broad leaved plant, and blade is the most complex, and the method can apply to Brassica campestris L population model and builds.But the method has two large problems: first, needing other 3D digitizer to be digitized Nicotiana tabacum L. profile in field, the most indoor spatial digitizer scans, and workload is bigger, and needs additionally to configure 3D digitizer, relatively costly；Secondly, fill the obvious distortion of blade of reduction, in terms of calculating canopy analysis, assessment plant type, face bigger error.And the advantage of threedimensional model is to become more meticulous analysis, provides reference, the therefore distortion of the method model could to breeding and cultivation, deviate from the original intention of three-dimension modeling.
Summary of the invention
An object of the present disclosure is to provide the construction method of a kind of Brassica campestris L population model, solves existing Brassica campestris L population model construction method complicated, and workload is big, relatively costly, and model distortion is obvious, the shortcoming that error is bigger, preferably for agri-scientific research and agricultural production service.
For solving above-mentioned technical problem, the invention provides the construction method of a kind of Brassica campestris L population model, comprise the following steps:
S1: obtain Brassica campestris L colony field data, including the relative bearing of Brassica campestris L different leaves same in above-mentioned Brassica campestris L colony, the stem stalk diameter of relative position, stem stalk relative bearing and differing heights between different Brassica campestris Ls；
S2: obtain Brassica campestris L colony house data, above-mentioned Brassica campestris L colony single plant soil-carried respectively is moved on to indoor and fixes, choosing any one strain Brassica campestris L in above-mentioned Brassica campestris L colony is the first strain Brassica campestris L, measure the blade relative bearing of above-mentioned first strain Brassica campestris L, and utilize spatial digitizer scanning to obtain the first strain rape leaf and the laser point cloud grid data of stem stalk, generate leaf three-dimensional model data base and stem stalk three-dimensional modeling data storehouse, scan remaining Brassica campestris L the most successively and enroll in model database；
S3: build individual plant Brassica campestris L model, the leaf model of the first strain Brassica campestris L produced in spatial digitizer in S2 step is spliced on its stem stalk model, generate the visualization of 3 d individual plant Brassica campestris L model of above-mentioned first strain Brassica campestris L, difference according to the blade relative bearing measured in S1 and S2 step of above-mentioned first strain Brassica campestris L, the threedimensional model generated above-mentioned first strain Brassica campestris L in S3 step carries out space coordinates rotation transformation, makes the individual plant Brassica campestris L model direction of growth true with field keep consistent；
S4: build Brassica campestris L population model, including field reduced form Brassica campestris L population model, above-mentioned field reduced form population model sets up the threedimensional model of other Brassica campestris Ls in addition to the first strain Brassica campestris L first with above-mentioned S3 step；Using above-mentioned first strain Brassica campestris L as basic point, for other Brassica campestris Ls in colony, station-keeping data according to other Brassica campestris Ls surveyed in S1 step Yu basic point, utilize coordinate translation and duplication, the threedimensional model of other Brassica campestris Ls moves on to relative position, and composition and field truly grow on all four population model.
Further, step S1 includes:
S11: weather selects, and selects cloudy day or rainy day to be sampled in field and as early as possible in Indoor measurement, or is fine day, then need to sample the previous day, irrigation of watering above-mentioned Brassica campestris L colony in advance；
S12: selection of time, selects at 7 .-8 in the morning to gather as above-mentioned Brassica campestris L colony field data and the timing node of sampling；
S13: above-mentioned Brassica campestris L population sample selects, and selects blade to be fully extended, without the moderate adjacent rapeseed plants of crimping blade area as Brassica campestris L population sample, it is desirable to can represent grown in field situation, and by above-mentioned Brassica campestris L colony Leaf and stem stalk classifying and numbering；
S14: measure and gather plant relative distance data in above-mentioned Brassica campestris L colony (i.e. selecting the centre of plants stems stalk distance ground level 2cm as basic point, to place with two basic points of parallel, measure the distance between two plant)；
S15: measure and gather the stem stalk diameter data of stem stalk relative bearing and differing heights.
Further, above-mentioned blade and stem stalk three-dimensional modeling data storehouse in above-mentioned S2 step, also include blade and the stem stalk above-mentioned scanning produced, the Series Blade varied in size of passing ratio scaling formation and stem stalk.
Further, above-mentioned S4 step also includes Data Post process: include that above-mentioned population model is added color, illumination, hatching effect by characteristic based on agricultural.
Further, above-mentioned S2 step also includes in spatial digitizer scans: merge redundant data, rejects wrong data, simplifies the process of data.
Further, in above-mentioned S4 step, Brassica campestris L population model also includes virtue fire Brassica campestris L population model；Its building process specifically includes following steps:
S41: conclude blade area and blade relative bearing angular dependence, utilize same Brassica campestris L blade relative bearing in the leaf model Leaf area data of described S2 step Leaf data base and S1 step, conclude and the relation of matching same Brassica campestris L blade area and blade relative bearing；
S42: conclude the relation of blade area and stem stalk diameter, utilize differing heights stem stalk diameter data in the leaf model Leaf area data of described S2 step Leaf data base and described S1 step, conclude and the relation of matching same Brassica campestris L blade area and stem stalk diameter；
S43: build virtual individual plant Brassica campestris L model, from blade described in S2 step and stem stalk three-dimensional modeling data storehouse, randomly draws blade and stem stalk, and according to relation in S42 and S41, the multiple virtual individual plant Brassica campestris L models of random composition；
S44: build virtue fire colony Brassica campestris L model, utilize the Brassica campestris L station-keeping data gathered in S1 step, random composition virtue fire colony Brassica campestris L model.
The invention has the beneficial effects as follows: use the construction method setting up Brassica campestris L population model of the present invention, revert to field growth in situ state by conversion and set up field reduced form Brassica campestris L population model, there is model validity high, error is little, modeling work amount is little, method is simple, advantage with low cost.
Accompanying drawing explanation
Fig. 1, builds the flow chart of field reduced form Brassica campestris L population model for the present invention.
Fig. 2, for rapeseed plants instrumentation plan in the embodiment of the present invention 1.
Fig. 3, builds the flow chart of virtue fire Brassica campestris L population model for the present invention.
Detailed description of the invention
Below by specific embodiment, and combine accompanying drawing, technical scheme is further described in detail.
Embodiment 1
The invention provides the construction method of a kind of Brassica campestris L population model, as it is shown in figure 1, comprise the following steps:
S1: obtain Brassica campestris L colony field data, including the relative bearing of Brassica campestris L different leaves same in Brassica campestris L colony, the stem stalk diameter of relative position, stem stalk relative bearing and differing heights between different Brassica campestris Ls.Needing the growth period of measurement, selecting field representational Brassica campestris L small group, be typically chosen 3*3 totally 9 strain Brassica campestris L, or 2*2 totally 4 strain Brassica campestris L, as object of study, preparation sets up this small group model, on computers in the present embodiment as a example by 4 strains.Select suitable weather, such as rainy weather, if fine, irrigate at small group the previous day in sampling, it is ensured that moisture is sufficient, and select to be sampled in the morning.So plant internal water is abundant, and temperature is the highest, and plant is fully extended, and will not wilt in a short time, it is possible to ensure that grow in the plant measured and ground does not haves too big difference.Sample time is morning, is marked four strain plant, according to orientation, draws four strain distributing positions, write reference numeral on standby paper.Remove this colony periphery plant.In the present embodiment, each plant is selected three blades, measures and record the azimuth of these blades.The blade selected requires as follows: the blade of straight elevator is compared in middle and upper part, and three blade azimuth angle differences are bigger.
Afterwards using a wherein strain as basic point, measure its excess-three spacing in the rows distance from the first strain, and relative bearing.Specifically measure as shown in Figure 2: selecting corresponding basic point is plants stems stalk centre, distance ground level 2cm.Place with two basic points of parallel, measure the distance between two basic points (i.e. two plant).It is parallel to ruler with compass, plant is numbered proceeding measurement from small to large, measure the azimuth of ruler, the direction between i.e. two plant.Schematic diagram marks out the azimuth between plant and distance.
S2: obtain Brassica campestris L colony house data, Brassica campestris L colony single plant soil-carried respectively is moved on to indoor and fixed, and each strain plant all cuts soil at surrounding numerical value, dice earth pillar around root system or cylindrical earth pillar, requirement embedded depth is about 20cm, and square earth pillar length and width are also about 20cm.The most carefully take out, it is positioned in container, the means of transports such as careful tricycle transport back laboratory, note in sampling with transportation, erect plants to be kept, soil ball is tight, preventing loose, root system leaks outside, it is to avoid plant dehydration is wilted, prevent in sampling process plant leaf blade, stem stalk, the collision of branch simultaneously, reduce the deformation in Brassica campestris L sampling transportation.Low-light in laboratory, blade is sprayed water in right amount, indoor humidification, keeping more moistening environment, lower the temperature simultaneously, temperature controls (the most not enter the room temperature of sunlight) below 20 degree, water in each rapeseed plants soil face, plant is kept to be in the fresh and alive state stood upright, simultaneously because poor light condition, suppression rapeseed plants growth change in a short time and phototropism growth.Rapeseed plants is fixed in laboratory.
In the present embodiment, choosing any one strain Brassica campestris L in Brassica campestris L colony is the first strain Brassica campestris L, selects three blades of measurement markers, the azimuth of measurement markers blade.Afterwards rape stem and blade scanner are measured one by one, ensure that stem stalk starting point is aerial parts 2cm, measure the blade relative bearing of the first strain Brassica campestris L, and utilize spatial digitizer scanning to obtain the first strain rape leaf and the laser point cloud grid data of stem stalk, generate leaf three-dimensional model data base and stem stalk three-dimensional modeling data storehouse, scan remaining Brassica campestris L the most successively and enroll in model database.
S3: build individual plant Brassica campestris L model, the leaf model of the first strain Brassica campestris L produced in spatial digitizer in S2 step is spliced on its stem stalk model, generate the visualization of 3 d individual plant Brassica campestris L model of the first strain Brassica campestris L, difference according to the blade relative bearing measured in S1 and S2 step of the first strain Brassica campestris L, the threedimensional model generated the first strain Brassica campestris L in S3 step carries out space coordinates rotation transformation, makes the individual plant Brassica campestris L model direction of growth true with field keep consistent；
S4: build Brassica campestris L population model, including field reduced form Brassica campestris L population model, field reduced form population model sets up the threedimensional model of other Brassica campestris Ls in addition to the first strain Brassica campestris L first with S3 step；Using the first strain Brassica campestris L as basic point, for other Brassica campestris Ls in colony, according to the station-keeping data of other Brassica campestris Ls surveyed in S1 step Yu basic point, utilize coordinate translation and duplication, the threedimensional model of other Brassica campestris Ls moves on to relative position, and composition and field truly grow on all four population model.
In the present embodiment, preferably, step S1 includes:
S11: weather selects, and selects cloudy day or rainy day to be sampled in field and as early as possible in Indoor measurement, or is fine day, then need to sample the previous day, irrigation of watering Brassica campestris L colony in advance；
S12: selection of time, selects at 7 .-8 in the morning to gather as Brassica campestris L colony field data and the timing node of sampling；
S13: Brassica campestris L population sample selects, and selects blade to be fully extended, without the moderate adjacent rapeseed plants of crimping blade area as Brassica campestris L population sample, it is desirable to can represent grown in field situation, and by Brassica campestris L colony Leaf and stem stalk classifying and numbering；
S14: measure and gather plant relative distance data in Brassica campestris L colony (i.e. selecting the centre of plants stems stalk distance ground level 2cm as basic point, to place with two basic points of parallel, measure the distance between two plant)；
S15: measure and gather the stem stalk diameter data of stem stalk relative bearing and differing heights；
In the present embodiment, preferably, S2 step Leaf and stem stalk three-dimensional modeling data storehouse, also include blade and stem stalk scanning produced, the Series Blade varied in size of passing ratio scaling formation and stem stalk；
In the present embodiment, preferably, S4 step also includes Data Post process: include that population model is added color, illumination, hatching effect by characteristic based on agricultural.
In the present embodiment, preferably, S2 step also includes in spatial digitizer scans: merge redundant data, rejects wrong data, simplifies the process of data.
Embodiment 2
In conjunction with the embodiments 1, as it is shown on figure 3, Brassica campestris L population model also includes virtue fire Brassica campestris L population model in S4 step, its building process specifically includes as follows:
In the present embodiment, S41: conclude blade area and blade relative bearing angular dependence, utilize same Brassica campestris L blade relative bearing in the leaf model Leaf area data of S2 step Leaf data base and S1 step, conclude and the relation of matching same Brassica campestris L blade area and blade relative bearing；Wherein blade area data can record by spatial digitizer.
In the present embodiment, S42: conclude the relation of blade area and stem stalk diameter, utilize differing heights stem stalk diameter data in the leaf model Leaf area data of S2 step Leaf data base and S1 step, conclude and the relation of matching same Brassica campestris L blade area and stem stalk diameter；
In the present embodiment, S43: build virtual individual plant Brassica campestris L model, from S2 step Leaf and stem stalk three-dimensional modeling data storehouse, randomly draw blade and stem stalk, and according to relation in S42 and S41, the multiple virtual individual plant Brassica campestris L models of random composition；
In the present embodiment, S44: build virtue fire colony Brassica campestris L model, utilize the Brassica campestris L station-keeping data gathered in S1 step, random composition virtue fire colony Brassica campestris L model.
By building virtue fire Brassica campestris L population model, using the teaching of the invention it is possible to provide a kind of cole crop virtual in blocks meeting field growing model, can not only be used for view Digital Three-Dimensional and show, it is also possible to the different growth conditions of simulation Brassica campestris L colony.
Embodiment described above is the one preferably scheme of the present invention, and the present invention not makees any pro forma restriction, also has other variant and remodeling on the premise of without departing from the technical scheme described in claim.
Claims (6)
1. the construction method of a Brassica campestris L population model, it is characterised in that comprise the following steps:
S1: obtain Brassica campestris L colony field data, including the relative bearing of Brassica campestris L different leaves same in described Brassica campestris L colony, the stem stalk diameter of relative position, stem stalk relative bearing and differing heights between different Brassica campestris Ls；
S2: obtain Brassica campestris L colony house data, move on to indoor including by described Brassica campestris L colony single plant soil-carried respectively and fix, choosing any one strain Brassica campestris L in described Brassica campestris L colony is the first strain Brassica campestris L, measure the blade relative bearing of described first strain Brassica campestris L, and utilize spatial digitizer scanning to obtain the first strain rape leaf and the laser point cloud grid data of stem stalk, generate leaf three-dimensional model data base and stem stalk three-dimensional modeling data storehouse, scan remaining Brassica campestris L the most successively and enroll in model database；
S3: build individual plant Brassica campestris L model, it is spliced on its stem stalk model including by the leaf model of the first strain Brassica campestris L produced in spatial digitizer in S2 step, generate the visualization of 3 d individual plant Brassica campestris L model of described first strain Brassica campestris L, difference according to the blade relative bearing measured in S1 and S2 step of described first strain Brassica campestris L, the threedimensional model generated described first strain Brassica campestris L in S3 step carries out space coordinates rotation transformation, makes the individual plant Brassica campestris L model direction of growth true with field keep consistent；
S4: build Brassica campestris L population model, including field reduced form Brassica campestris L population model, described field reduced form population model sets up the threedimensional model of other Brassica campestris Ls in addition to the first strain Brassica campestris L first with described S3 step；Using described first strain Brassica campestris L as basic point, for other Brassica campestris Ls in colony, station-keeping data according to other Brassica campestris Ls surveyed in S1 step Yu basic point, utilize coordinate translation and duplication, the threedimensional model of other Brassica campestris Ls moves on to relative position, and composition and field truly grow on all four population model.
2. according to the construction method of the Brassica campestris L population model described in claim 1, it is characterised in that step S1 includes:
S11: weather selects, and selects cloudy day or rainy day to be sampled in field and as early as possible in Indoor measurement, or is fine day, then need to sample the previous day, irrigation of watering described Brassica campestris L colony in advance；
S12: selection of time, selects at 7 .-8 in the morning to gather as described Brassica campestris L colony field data and the timing node of sampling；
S13: described Brassica campestris L population sample selects, and selects blade to be fully extended, without the moderate adjacent rapeseed plants of crimping blade area as Brassica campestris L population sample, it is desirable to can represent grown in field situation, and by described Brassica campestris L colony Leaf and stem stalk classifying and numbering；
S14: measure and gather plant relative distance data in described Brassica campestris L colony, i.e. selects the centre of plants stems stalk distance ground level 2cm as basic point, places with two basic points of parallel, measure the distance between two plant；
S15: measure and gather the stem stalk diameter data of stem stalk relative bearing and differing heights.
3. according to the construction method of the Brassica campestris L population model described in claim 1, it is characterized in that, blade described in described S2 step and stem stalk three-dimensional modeling data storehouse, also include blade and the stem stalk described scanning produced, the Series Blade varied in size of passing ratio scaling formation and stem stalk.
4. according to the construction method of the Brassica campestris L population model described in claim 1, it is characterised in that described S4 step also includes Data Post process: include that described population model is added color, illumination, hatching effect by characteristic based on agricultural.
5. according to the construction method of the Brassica campestris L population model described in claim 1, it is characterised in that described S2 step also includes in spatial digitizer scans: merge redundant data, reject wrong data, simplify the process of data.
6. according to the construction method of the Brassica campestris L population model described in claim 1, it is characterised in that in described S4 step, Brassica campestris L population model also includes virtue fire Brassica campestris L population model；Its building process specifically includes following steps:
S41: conclude blade area and blade relative bearing angular dependence, utilize same Brassica campestris L blade relative bearing in the leaf model Leaf area data of described S2 step Leaf data base and S1 step, conclude and the relation of matching same Brassica campestris L blade area and blade relative bearing；
S42: conclude the relation of blade area and stem stalk diameter, utilize differing heights stem stalk diameter data in the leaf model Leaf area data of described S2 step Leaf data base and described S1 step, conclude and the relation of matching same Brassica campestris L blade area and stem stalk diameter；
S43: build virtual individual plant Brassica campestris L model, from blade described in S2 step and stem stalk three-dimensional modeling data storehouse, randomly draws blade and stem stalk, and according to relation in S42 and S41, the multiple virtual individual plant Brassica campestris L models of random composition；
S44: build virtue fire colony Brassica campestris L model, utilize the Brassica campestris L station-keeping data gathered in S1 step, random composition virtue fire colony Brassica campestris L model.
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| CN107945041A (en) * | 2017-11-06 | 2018-04-20 | 浙江工业大学 | A kind of rice envelope row time computational methods based on dummy model |
| CN113128462A (en) * | 2021-05-07 | 2021-07-16 | 新疆农业科学院农业机械化研究所 | Greenhouse plant canopy structure identification method based on LIDAR |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102184564A (en) * | 2011-04-13 | 2011-09-14 | 北京农业信息技术研究中心 | Facility horticulture plant three-dimensional reconstruction method based on double-scaling three-dimensional digitized data |
| CN102768766A (en) * | 2012-06-11 | 2012-11-07 | 天津大学 | Three-dimensional group animation modeling method |
| CN102819862A (en) * | 2012-07-30 | 2012-12-12 | 北京中科盘古科技发展有限公司 | Quick modeling method for separable plants |
| CN102903145A (en) * | 2012-08-31 | 2013-01-30 | 北京农业信息技术研究中心 | Method for three-dimensional reconstruction of plant population morphological structure |
| CN103065352A (en) * | 2012-12-20 | 2013-04-24 | 北京农业信息技术研究中心 | Plant three-dimensional reconstruction method based on image and scanning data |
| CN103366068A (en) * | 2013-07-26 | 2013-10-23 | 福州大学 | Interactive design method of virtual garden vegetation landscape |
| CN103425851A (en) * | 2013-09-05 | 2013-12-04 | 福州大学 | Plantation density optimizing and analyzing method based on three-dimensional virtual plants |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| TWI443446B (en) * | 2011-12-01 | 2014-07-01 | Univ Nat Taiwan | Monitor system and image reconstruction method for planting bed |
-
2014
- 2014-04-22 CN CN201410161080.9A patent/CN103942835B/en not_active Expired - Fee Related
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102184564A (en) * | 2011-04-13 | 2011-09-14 | 北京农业信息技术研究中心 | Facility horticulture plant three-dimensional reconstruction method based on double-scaling three-dimensional digitized data |
| CN102768766A (en) * | 2012-06-11 | 2012-11-07 | 天津大学 | Three-dimensional group animation modeling method |
| CN102819862A (en) * | 2012-07-30 | 2012-12-12 | 北京中科盘古科技发展有限公司 | Quick modeling method for separable plants |
| CN102903145A (en) * | 2012-08-31 | 2013-01-30 | 北京农业信息技术研究中心 | Method for three-dimensional reconstruction of plant population morphological structure |
| CN103065352A (en) * | 2012-12-20 | 2013-04-24 | 北京农业信息技术研究中心 | Plant three-dimensional reconstruction method based on image and scanning data |
| CN103366068A (en) * | 2013-07-26 | 2013-10-23 | 福州大学 | Interactive design method of virtual garden vegetation landscape |
| CN103425851A (en) * | 2013-09-05 | 2013-12-04 | 福州大学 | Plantation density optimizing and analyzing method based on three-dimensional virtual plants |
Non-Patent Citations (1)
| Title |
|---|
| 油菜植株三维结构的测量与可视化建模研究;李冬 等;《浙江农业学报》;20130925(第5期);第926-932页 * |
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