CN110786208A - Plant planting technology evolution method based on artificial illumination planting technology - Google Patents
Plant planting technology evolution method based on artificial illumination planting technology Download PDFInfo
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- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01G—HORTICULTURE; CULTIVATION OF VEGETABLES, FLOWERS, RICE, FRUIT, VINES, HOPS OR SEAWEED; FORESTRY; WATERING
- A01G22/00—Cultivation of specific crops or plants not otherwise provided for
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- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01G—HORTICULTURE; CULTIVATION OF VEGETABLES, FLOWERS, RICE, FRUIT, VINES, HOPS OR SEAWEED; FORESTRY; WATERING
- A01G17/00—Cultivation of hops, vines, fruit trees, or like trees
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- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01G—HORTICULTURE; CULTIVATION OF VEGETABLES, FLOWERS, RICE, FRUIT, VINES, HOPS OR SEAWEED; FORESTRY; WATERING
- A01G7/00—Botany in general
- A01G7/04—Electric or magnetic or acoustic treatment of plants for promoting growth
- A01G7/045—Electric or magnetic or acoustic treatment of plants for promoting growth with electric lighting
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Abstract
The invention discloses a plant planting technology evolution method based on artificial lighting planting technology, which comprises the steps of constructing an artificial lighting planting environment capable of reproducing environmental resource elements in different places, enabling different growers to spontaneously adjust the environmental resource elements and record the adjustment elements in the artificial lighting planting environment, obtaining multiple growth conditions of a certain plant variety, screening a planting preferred object of the plant variety according to the growth conditions, summarizing the environmental resource elements corresponding to the planting preferred object by using big data technology and artificial intelligence, and enabling the growers to evolve the planting technology of the plant variety by reproducing the environmental resource elements corresponding to the planting preferred object.
Description
Technical Field
The invention belongs to the technical field of agricultural planting, and particularly relates to a plant planting technology evolution method based on an artificial illumination planting technology.
Background
The traditional agricultural planting technology research is generally based on uncertain natural environment to explore biological characteristics of plant species, namely, the essence of the plant species is researched and the natural adaptation law is researched, and the basic idea is the research idea of natural evolution of species. Under the mode, the research focus of agricultural science is to select and breed excellent varieties and popularize the excellent varieties. But this mode will inevitably have the following problems:
① the bred excellent variety generally has no generalization in wide regions.
② the good variety has less seed stock in the early stage of popularization, and the large-area popularization requires longer accumulation time, and the period also faces the risk of the degeneration of the optimized variety.
③ the breeding of good varieties is mainly a matter of few even individual agricultural scientists, and the participation degree in scientific research of growers (including farmers) is low.
With the continuous development of high-efficiency artificial lighting technology, the technology of applying artificial lighting to agricultural planting gradually enters the visual field of people. The applicant of the present application has made many studies on artificial light planting technology, and applied tens of application patents related to artificial light planting technology, such as CN201810572349.0, CN201810572352.2, CN201810572315.1, CN201810571305.6, CN201810572340.x, cn201711079354.x, CN201711080822.5, CN201711080840.3, CN201711079902.9, and CN201711080842.2, in 2017 and 2018. The technologies provide a solid foundation for the popularization and the application of the artificial illumination planting technology.
Disclosure of Invention
The invention aims to provide a plant planting technology evolution method based on artificial lighting planting technology, which is based on the characteristic that environmental resource elements required by plant growth can be artificially, consciously and accurately controlled in the artificial lighting planting technology, improves the planting technology of a certain plant variety by copying and reproducing environmental resource element data corresponding to a planting preferable object by using planting preferable objects of the plant variety, which appear in the practice of artificial lighting planting of the certain plant variety by different growers, greatly simplifies the research of the planting technology, simplifies the original abnormal and complicated and uncertain planting operation flow influenced by natural environment and is convenient to copy, namely, only by copying or reproducing the digital planting data in a specific artificial ecological planting environment, a planting process is realized.
The technical scheme of the invention is as follows: a plant planting technology evolution method based on artificial illumination planting technology comprises the following steps: by constructing an artificial illumination planting environment capable of reproducing the environmental resource elements in different places, different growers spontaneously adjust the environmental resource elements and record the adjustment elements in the artificial illumination planting environment to obtain various growth conditions of a certain plant variety, a planting preferred object of the plant variety is screened according to the growth conditions, the environmental resource elements corresponding to the planting preferred object are summarized by using a big data technology and artificial intelligence, and the growers can evolve the planting technology of the plant variety by reproducing the environmental resource elements corresponding to the planting preferred object.
In the above plant cultivation technique evolution method based on artificial light planting technique, the environmental resource elements include light, temperature, moisture, nutrients, gas, and data related to the planting object and the planting device.
Wherein the illumination comprises: spectrum, light intensity, light period (off time/on time), light distribution (or substituted with product model), etc.;
the moisture comprises: air humidity (spraying or dehumidifying), substrate humidity, root system spraying, foliar spraying, liquid level of substrate or nutrient solution, and the like.
The nutrient comprises: the nutrient of the substrate or nutrient solution (or the nutrient can be replaced by the product type), the consumption and the like.
The gas comprises: oxygen content, carbon dioxide content, aeration or wind agitation, etc.
And (4) safe filtration: safe filtration of the planting environment (infection prevention, pest and disease prevention) or replacement with a filtration product model.
The data relating to the planted objects and the planted equipment comprises: equipment model, planting layer height of standardized modulus, seed (including strain) batch number, seed consumption, time consumption (one planting period), illuminated time, illuminated period, seedling raising time and the like.
In the plant planting technology evolution method based on the artificial illumination planting technology, the sampling points of the environmental resource elements are arranged at the centers of the adjacent electric light sources of the artificial illumination planting environment, so that the sampling consistency of different artificial illumination planting environments is guaranteed, and the interference of the plant growth state change on the sampling data can be avoided.
In the plant planting technology evolution method based on the artificial illumination planting technology, each index in the environmental resource elements is correspondingly adjusted in intensity based on the periodic variation of the illumination intensity, so as to achieve the optimal energy-saving and planting growth indexes.
In the foregoing method for evolving a plant planting technology based on an artificial light planting technology, the planting optimization object performs quantification of an evaluation index by using various growth state related elements in a unit planting period as quantification objects.
In the foregoing method for evolving a plant cultivation technique based on artificial light planting, the relevant factors of the growth state include yield, quality (including sensory perception, palatability, and the like), marketability, energy consumption, water consumption, seed consumption, nutrient consumption, cultivation time, seedling raising time, and completion date.
In the plant planting technology evolution method based on the artificial illumination planting technology, when the plant in the artificial illumination planting environment does not need to grow continuously, the temperature in the environment resource elements is adjusted to 5-10 ℃, the illumination is turned off, and the living plant can be stored at low temperature for a long time to reduce the generation of nitrite, so that the long-time preservation after the planting is finished is realized.
In the foregoing method for evolving a plant cultivation technique based on an artificial light planting technique, the sampled environmental resource element data is modified by a function Y ═ C × (x) × (M), where Y is corrected device detection data; c is a correction coefficient; (x) is a nonlinear correction function, and is a correction curve before factory shipment of the factory standard corrector and the sensor of the sampling point in the whole detection measuring range when a correction coefficient C is 1.0; m is standard calibrator test data; the correction coefficient C is an average correction coefficient generated at a plurality of measurement points (e.g., 25%, 50%, 75%, etc.) of the on-site etalon and the sensor. The correction function f (x) and the correction coefficient C are used to account for sampling errors resulting from sensor lot, housing, etalon sampling position, and component aging.
In the plant planting technology evolution method based on the artificial lighting planting technology, the artificial lighting planting environment capable of reproducing the environmental resource elements in different places is realized by constructing planting equipment or building facilities; the summarized preferred data may serve as a data service resource for such lighting planting equipment or construction facilities.
Compared with the prior art, the method has the advantages that according to the characteristic that the same plant species can show the consistency characteristics in the same environmental resource element, the same plant can show different growth conditions by artificially, subjectively and consciously selecting and controlling the environmental resource element in the artificial illumination planting technology from the adjustment of the environmental resource element, then the case with better growth condition is screened as the preferred object, and the purpose of the evolution planting technology can be achieved by accurately and remotely repeatedly reproducing the environmental resource element of the preferred object.
Therefore, the focus of the present invention is not on the plant itself (which is the work of the botanic scientist), but on the study or reproduction of the corresponding environmental resource elements when the plant species presents the preferred objects. The method greatly simplifies the research of planting technology, simplifies the original abnormal complex planting operation flow influenced by natural environment and is convenient to copy, namely, the digital planting data is copied or reproduced in the specific artificial ecological planting environment, and a planting process is realized. In the artificial ecological planting environment, all data related to planting are induced and evolved by big data technology and artificial intelligence, and the planting data after evolution become resources of planting data service.
The planting evolution method of the invention is a method aiming at the conscious evolution of environmental resource elements, and will bring subversive changes to the traditional planting technology, namely:
① the preferred seeds are stock seeds with existing planting scale, and can be popularized and applied in wide regions only by reproducing the planting environment resource elements.
② the allopatric reproduction of the artificial ecological planting environment can be realized by planting equipment or structures such as buildings, which brings great revolution to the planting industry.
③ the preferred choice of objects is a broad planting practice by thousands of growers, which can be the result of big data and artificial intelligence.
④ A few agricultural data companies can control light planting data globally.
Drawings
FIG. 1 is an example of adjustment of illumination intensity in the embodiment;
FIG. 2 is an example of adjustment of the spectrum (red-blue light ratio) in the embodiment;
FIG. 3 is an example of temperature adjustment in the embodiment;
FIG. 4 is an example of humidity adjustment in the embodiment;
FIG. 5 is a schematic view of a correction curve in the example;
FIG. 6 is a schematic bottom view of the tray assembly with 4 planting trays;
FIG. 7 is a schematic perspective view of FIG. 6;
FIG. 8 is a schematic structural view of the mobile carriage of the structure of FIG. 6;
FIG. 9 is a schematic partial enlarged (CYD arrangement) view of FIG. 8;
FIG. 10 is a schematic view of the construction of the sensor holder;
FIG. 11 is a schematic bottom view of a pallet assembly with 3 planting pallets;
FIG. 12 is a schematic perspective view of FIG. 11;
FIG. 13 is a schematic bottom view of the tray assembly with 2 planting trays;
FIG. 14 is a schematic perspective view of FIG. 13;
FIG. 15 is a schematic view of an assembled artificial light planting box with 2 planting trays;
FIG. 16 is a schematic view of an assembled artificial light planting box with 3 planting trays;
FIG. 17 is a schematic view of an assembled artificial light planting box with 4 planting trays;
FIG. 18 is a schematic diagram of an assembled artificial light planting unit with 4 planting trays;
FIG. 19 is a schematic diagram of an instrumented multi-functional light planting box-type factory configuration with a plurality of artificial light planting units;
FIG. 20 is a schematic diagram of a modular instrumented multifunctional light planting facility configured from a plurality of light planting box-type facilities;
FIG. 21 is a schematic diagram of the arrangement of electric light sources and sampling points in multi-layer illumination planting;
fig. 22 is a schematic diagram of the horizontal arrangement relationship of fig. 21.
Reference numbers in the drawings: 1-artificial light planting unit, 1.2-sheet metal shell, 2-movable tray assembly, 2.1-movable bracket, 2.1.1-bulb fixing support, 2.1.2-cable hook, 2.1.3-sensor support fixing hole, 2.1.4-sensor support, 2.1.4.1-sensor fixing clip, 2.2-liquid storage tray, 2.2.5-liquid storage tray liquid inlet joint, 2.2.6-liquid storage tray liquid outlet joint, 2.3-electric light source, 2.4-cable with electric connector, 2.5-cable standard sleeve, 2.6-bulb fixing ring, 2.7-bulb protective cover, 2.9-planting tray, 2.9.1-through hole, 2.9.2-disposable planting tray (with hole), 2.10-planting tray, 2.10.1-disc support, 2.10.2-planting disc base, 2.11-spraying device, 2.11.1-spraying head, 2.11.2-fixed spring, 3-ventilation filtering module, 4-humidity adjustment atomizing module, 5.2-air conditioner outdoor unit, 5.3-air conditioner coil, 6-illumination planting control module, 6.1-illumination sensor, 6.2-CO2Or a temperature and humidity sensor, a 6.3-soil humidity sensor, a 6.5-control screen, a 7-bracket set, a 7.1-floater liquid level module, a 7.1.4-quick-change hose connector, a 7.2-liquid inlet header pipe, a 7.3-liquid outlet header pipe, a 7.4-high pressure header pipe, a 7.7-vertical bracket, a 7.8-transverse reinforcing rib, an 8-planting box body and a CYD-environment resource element selectable sampling point.
Detailed Description
The present invention is further illustrated by the following examples, which are not to be construed as limiting the invention.
Example (b): an artificial illumination planting environment capable of reproducing environmental resource elements in different places is constructed, different growers spontaneously adjust the environmental resource elements in the artificial illumination planting environment to obtain multiple growth conditions of a certain plant variety, planting optimization objects of the plant variety are screened according to the growth conditions, the environmental resource elements corresponding to the planting optimization objects are summarized, and the growers can reproduce the planting technology of the plant variety by reproducing the environmental resource elements corresponding to the planting optimization objects.
And the planting optimization object takes various growth state related factors in a unit planting period as quantization objects to carry out the quantization of evaluation indexes. The relevant factors of the growth state comprise yield, quality (comprising perception, palatability and the like), marketability, energy consumption, water consumption, seed consumption, nutrient consumption, cultivation time, seedling raising time and completion date. The environmental resource elements comprise illumination, temperature, moisture, nutrients, gas and relevant data of planting objects and planting equipment.
When the plants in the artificial illumination planting environment do not need to grow continuously, the temperature in the environmental resource elements is adjusted to 5-10 ℃, illumination is turned off, and living plants can be stored at low temperature for a long time to reduce the generation of nitrite, so that long-time preservation after planting is realized.
In the evolutionary approach of the present invention, historical data of environmental resource elements needs to be reproduced when preferred objects appear. Meanwhile, the data is required to be copied and reused in different places, so that the data is required to be consistent. In addition to the sample point placement of the environmental resource elements, the factors that affect the data consistency are: 1. the data sampled by the sensor and the standard corrector have a nonlinear relation in the whole measuring range, namely a nonlinear correction function f (x) is needed for correction; 2. the difference exists between the factory standard corrector and the field standard corrector; 3. the data sampled by the sensor on the same measuring point between different devices is different from the on-site standard calibrator, such as sampling errors generated by sensor batches, light attenuation of an outer cover and an artificial light source; for example, the standard corrector is arranged above the center of the planting tray 2.9 for sampling, namely the actual irradiation center of light, and the light sampling point CYD of the environmental resource element is arranged between the two artificial light sources 2.3, and a coefficient is needed for correction. Therefore, the invention modifies the sampled environmental resource element data by a function Y ═ C × (x) × M, where Y is the corrected device detection data; c is a correction coefficient; (x) is a nonlinear correction function, and is a correction curve before shipment of the factory standard calibrator and the sensor of the sampling point in the whole detection measuring range when the correction coefficient C is 1.0 (as shown in fig. 5); m is standard calibrator test data; the correction coefficient C is an average correction coefficient generated at a plurality of measurement points by the calibrator and the sensor at the test site.
The remote reproduction of the environmental resource elements in the artificial ecological planting environment has a general significance for popularization, and is the value of the conscious evolution (optimization) of the planting technology, that is, the corresponding environmental resource element sampling data in the artificial ecological planting environments of different regions has consistency and can be copied only. The environmental resource elements for plant growth mainly comprise illumination, temperature, moisture, nutrients, gas and the like,
the nutrients and gas in the artificial ecological planting environment are in a closed space, the influence of the external natural environment on the two factors is small, and the artificial control is easy to adopt. The relative deviation of the placement of the sampling sensors does not constitute a decisive influence on the sampling parameters. But relatively uniform sampling locations are also necessary to obtain the best consistent sample data.
The nutrient comprises mineral substances (or element ions) in a substrate or nutrient solution, and can be fixedly compiled into product types according to the component composition types of the substrate or nutrient solution, and the product type of the substrate or nutrient solution is only required to be selected in the planting process.
The gas is mainly oxygen and carbon dioxide. In the planting environment, the oxygen and the carbon dioxide are supplemented, and the oxygen and the carbon dioxide are easy to distribute uniformly and are not easily influenced by other factors.
In contrast, light has the greatest impact on the artificial ecological planting environment, and the light parameters include spectrum, light intensity, photoperiod, light distribution and the like. The uncertainty of the optical parameters may cause large errors of the environmental resource elements and may even result in failure of the reproduction or reproduction.
On the premise of an artificial light source, the light period and the light distribution are easily controlled manually and accurately.
The plant growth process mainly absorbs the spectral energy of red and blue light, and a small amount of spectral energy of yellow and green light, and the absorption to other spectral plants is less. In the aspect of spectrum, because spectrum adjustment, especially stepless adjustment has certain difficulty, a traditional plant factory with an electric light source mostly adopts a full-spectrum electric light source for illumination, so that the energy consumption of illumination planting is large.
In the aspect of light intensity, for plant factories which widely adopt LED electric light source schemes of lamp panels, lamp tubes and lamp strips at present, it is difficult to find a proper position for arranging a light intensity sampling sensor, and the light intensity detected by a plant approaching the plant can be interfered by the growth of the plant; the light intensity of only a plurality of lamp beads rather than the light intensity of the electric light source (whole lamp) is measured near the electric light source, the consistency is not achieved, and the requirement of copying or reproducing the light parameters at different places can not be met; plant factories assisted by natural light are greatly influenced by natural environment, and the remote copying or reappearing of light parameters is not always mentioned; even if a bulb is used as the light source in the light planting, any relative displacement of the sensors will have a large effect on the light intensity parameters, which may lead to failure of the reproduction or reproduction.
Secondly, the ambient temperature, the temperature has a significant effect on the whole growth period of the plant, and different temperature indicators may lead to different growth results. The conventional plant factory has no requirement for duplicating or reproducing the source elements of the environment, the structure of the plant factory is mainly based on the conventional building, and the natural environment has a great influence on the temperature change of the plant factory. The artificial ecological planting environment and the external large temperature difference can cause the temperature index to lose significance when the result is copied and reproduced in different places. Therefore, the scheme of this patent application on the one hand the control temperature does not receive outside natural environment's influence, and on the other hand will guarantee that temperature sensor's sampling data possesses the uniformity in the artificial ecology environment of difference.
Moisture includes ambient humidity, substrate humidity, level of substrate or nutrient solution, and the like. In contrast, substrate humidity, substrate or nutrient solution level, etc. are relatively easy to control accurately by auxiliary equipment. The ambient humidity is greatly affected by the temperature, and constant humidity is easily realized by adopting auxiliary equipment, but the energy consumption is increased.
Therefore, the sampling points of the environmental resource elements are arranged at the centers of the adjacent electric light sources of the artificial illumination planting environment, so that the sampling consistency of different artificial illumination planting environments is guaranteed, and the interference of the plant growth state change on the sampling data can be avoided.
The method for collecting the environmental resource element indexes comprises the following steps (taking illumination and temperature as examples): the existing artificial illumination planting mode has no requirement for copying or reproducing the source elements of the environment, generally adopts a control mode of constant temperature, constant humidity and constant illumination, and the basic idea of the subjective evolution of the planting technology is that the environment parameters are artificially and consciously adjusted to enable the plant species to present the preferred objects and further reproduce the environment resource elements, so that the main environment resource elements such as spectrum, light intensity, light period, temperature, humidity and the like are required to be adjustable in the planting period. Even if all factors influencing the plant growth change are adjustable variable parameters, first, the light adjustment: in the 1 day and 24 hours of the natural day, the artificial illumination period can adopt 16 hours of illumination and 8 hours of light closing, which is equivalent to the illumination period of 1 natural day, but the illumination time is greatly increased; or 8 hours of light, 4 hours of light off, which corresponds to 2 light cycles on natural days; or 7 hours of light, 1 hour of light off, which corresponds to 3 light cycles on natural days; the light intensity may then be changed from a relatively low value to a relatively high value of illumination, again and again, see fig. 1.
While the light period and the illumination intensity are changed, the spectrum can be changed correspondingly from a relatively low value to a relatively high value of the red-blue light ratio, and the process is repeated, as shown in fig. 2. The red light can be obtained by adopting a scheme that the blue light chip covers the red fluorescent powder, the red light of the scheme can generate a small amount of yellow-green light enough for plants, and the requirement of plant growth can be met in the process of adjusting the proportion of the red light and the blue light.
Secondly, the temperature is adjusted, and when the temperature is hottest in a natural day at 14 o' clock, the temperature in the artificial planting environment can be kept relatively high; when the temperature is close to the lowest temperature in a natural day 2 o' clock in the morning, the temperature in the artificial planting environment can be relatively low, and the process is repeated. This allows to maintain a relatively small temperature difference with the outside world, so as to obtain a minimum energy consumption, see fig. 3.
Thirdly, in inclosed space, the change of temperature will make humidity take place corresponding change, in traditional building mode artificial light planting mode, because the temperature easily receives outside air temperature to influence, adopts the artificial illumination of constant temperature and humidity to plant the mode, has undoubtedly taken the huge consumption of energy. In the scheme of the patent, in the range of humidity suitable for the plant species, the humidity is allowed to be automatically adjusted according to the temperature change, so that the energy consumption can be reduced to the maximum extent, and the figure 4 is shown. It should be noted that the relationships in fig. 2, 3, 4 and 1 do not necessarily have a one-to-one correspondence between the high and low points.
The construction of the sampling points of the artificial ecological planting environment is as follows:
in multiple applications 201810572349.0, 201810572315.1, 201810571305.6, 201711080840.3, etc., the light planting box of fig. 15, 16 and 17, the light planting unit of fig. 18, fig. 18 can build a box-type light planting factory of fig. 19 and 20; the light planting units of fig. 18 may also be placed in a building structure, making up a building-like light planting plant. In the schemes, the sampling point position of the sensor is placed between the electric light source and the plant to plant the same plant, even if the environmental resource element data collected between the illumination planting boxes and the box type planting factory are difficult to obtain a consistent result in the mode, the inconsistency is more prominent when the high modulus of the planting layer is not standardized.
Fig. 21 and 22 illustrate the principle of the arrangement of the electric light source 2.3 and the sampling points CYD with respect to the planting surface. The indexes of the electric light source 2.3 are controlled to have consistency and proper length and diameter, the illumination sensor 2.15 can be arranged on any sampling point CYD in the graph, the whole brightness of the electric light source 2.3 can be acquired, and the brightness indexes are the same; whereas the variation of the plants over the growth cycle on the planting surface has a negligible effect on the brightness. When the electric light source 2.3 adopts matrix distribution and directional downward irradiation, the planting layerThe influence of high variation on brightness is small, which provides a basic condition for large-area illumination planting; correspondingly, the temperature, the humidity and the CO are set on the sampling point CYD2The indexes collected by the sensors 2.15 of the environmental resource elements such as concentration and the like can also obtain high consistency.
The tray set-up with 4, 3 and 2 planting trays is depicted in fig. 6, 7, 11, 12, 13 and 14, respectively. A plurality of sensor bracket fixing holes 2.1.3 are arranged on a bulb fixing bracket 2.1.1 between an electric light source 2.3 and the electric light source 2.3 on a movable bracket 2.1, and a sensor bracket 2.1.4 is fixed on the sensor bracket fixing holes 2.1.3, see fig. 8 and 9; a sensor fixing clip 2.1.4.1 is arranged on the sensor bracket 2.1.4, referring to fig. 8, 9 and 10, an environmental resource element sampling point CYD is arranged in the middle surrounded by the fixing clip 2.1.4.1, referring to fig. 7, 12 and 14; illumination sensor 6.1 or CO2Or a temperature and humidity sensor 6.2 and other sampling sensors are fixed on the sensor bracket 2.1.4 through a fixing clip 2.1.4.1.
In each figure, no matter large-area illumination is planted, or which kind of tray assembly is used in planting boxes and illumination planting factories of different specifications, the position of each CYD position 2.3 away from the electric light source is completely the same as the position of a plant, when the standard modulus is adopted at the planting layer height, the same optical parameters of the whole electric light source can be detected, the variation of the plant growth state does not interfere with sampling data, and illumination, temperature, humidity and CO can be detected2The data with high consistency sampled by concentration and the like is the basic guarantee that environmental resource elements in the artificial ecological planting environment are copied or reproduced in different places.
Claims (10)
1. A plant planting technology evolution method based on artificial illumination planting technology is characterized in that: by constructing an artificial illumination planting environment capable of reproducing the environmental resource elements in different places, different growers spontaneously adjust the environmental resource elements and record the adjustment elements in the artificial illumination planting environment to obtain various growth conditions of a certain plant variety, a planting preferred object of the plant variety is screened according to the growth conditions, the environmental resource elements corresponding to the planting preferred object are summarized by using a big data technology and artificial intelligence, and the growers can evolve the planting technology of the plant variety by reproducing the environmental resource elements corresponding to the planting preferred object.
2. The artificial lighting planting technology-based plant planting technology evolution method of claim 1, characterized in that: the environmental resource elements comprise illumination, temperature, moisture, nutrients, gas, safety filtration and relevant data of planting objects and planting equipment.
3. The artificial lighting planting technology-based plant planting technology evolution method of claim 2, characterized in that: the sampling points of the environmental resource elements are arranged at the centers of the adjacent electric light sources of the artificial illumination planting environments so as to ensure the sampling consistency of different artificial illumination planting environments and avoid the interference of the growth state change of the plants on the sampling data.
4. The artificial lighting planting technology-based plant planting technology evolution method of claim 2, characterized in that: and various indexes in the environmental resource elements are correspondingly adjusted in intensity based on the periodic variation of the illumination intensity so as to achieve the optimal energy-saving and planting growth indexes.
5. The artificial lighting planting technology-based plant planting technology evolution method of claim 1, characterized in that: and the planting optimization object takes various growth state related factors in a unit planting period as quantization objects to carry out the quantization of evaluation indexes.
6. The artificial lighting planting technology-based plant planting technology evolution method of claim 5, characterized in that: the relevant factors of the growth state comprise yield, quality, easy commercialization, energy consumption, water consumption, seed consumption, nutrient consumption, cultivation time, seedling raising time and completion date.
7. The artificial lighting planting technology-based plant planting technology evolution method of claim 1, characterized in that: when the plants in the artificial illumination planting environment do not need to grow continuously, the temperature in the environmental resource elements is adjusted to 5-10 ℃, illumination is turned off, and living plants can be stored at low temperature for a long time to reduce the generation of nitrite, so that long-time preservation after planting is realized.
8. The artificial lighting planting technology-based plant planting technology evolution method of claim 2, characterized in that: modifying the sampled environmental resource element data through a function Y ═ C × (x) × M, wherein Y is corrected equipment detection data; c is a correction coefficient; (x) is a nonlinear correction function, and is a correction curve before factory shipment of the factory standard corrector and the sensor of the sampling point in the whole detection measuring range when a correction coefficient C is 1.0; m is standard calibrator test data; the correction coefficient C is an average correction coefficient generated at a plurality of measurement points by the calibrator and the sensor at the test site.
9. The method for evolving a plant growing technology based on artificial lighting planting technology of claim 2, wherein among the environmental resource elements, ① lighting comprises spectrum, light intensity, photoperiod and light distribution, ② temperature is temperature, ③ moisture comprises air humidity, substrate humidity, root spray, leaf spray, substrate or nutrient liquid level, ④ nutrient comprises substrate nutrient or nutrient liquid nutrient component and loss amount, ⑤ gas comprises oxygen, carbon dioxide, ventilation or wind stirring time, ⑥ safety filtration is filtering index, and ⑦ planting object and planting equipment related data comprises equipment type, planting layer height of standardized modulus, seed batch number, seed consumption, planting period, lighted time, lighted period and seedling raising time.
10. The method for evolving a plant growing technology based on artificial lighting growing technology of any one of claims 1 to 9, wherein: realizing the artificial illumination planting environment of the resource elements of the reproducible environment at different places by constructing planting equipment or building facilities; the summarized preferred data may serve as a data service resource for such lighting planting equipment or construction facilities.
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| CN201911189838.9A CN110786208B (en) | 2019-11-28 | 2019-11-28 | Plant planting technology evolution method based on artificial illumination planting technology |
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