CN113711798A - Plant growth control method, control equipment, plant growth lamp and control system - Google Patents
Plant growth control method, control equipment, plant growth lamp and control system Download PDFInfo
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Abstract
The invention provides a plant growth control method, plant growth control equipment, a plant growth lamp and a plant growth control system, wherein the plant growth control method comprises the following steps: acquiring plant growth images at different time periods; identifying the plant growth image to identify the growth condition of the plant; determining a growth control strategy based on the growth condition; the growth control strategy comprises a parameter adjustment trend corresponding to plant growth factors; and adjusting preset input parameters according to the growth control strategy. According to different stages of the growth cycle of each plant, the invention provides proper illumination, nutrients, temperature and humidity and the like, accelerates the growth of the plant through intelligent monitoring and reasonable regulation and control, promotes the aggregation of nutrient components, and thus realizes the maximum value.
Description
Technical Field
The invention belongs to the technical field of plant growth control, relates to a control method, and particularly relates to a plant growth control method, a plant growth control device, a plant growth lamp and a plant growth control system.
Background
With the development of new generation intelligent agriculture and intelligent indoor plant cultivation, the intelligent illumination simulated sunlight provides photosynthesis for plants, and a trend is formed in the process of accelerating plant production without changing plant components and even increasing related nutritional components.
The wavelength of the LED (Light-Emitting Diode) plant growth lamp is very suitable for the growth, flowering and fruiting of plants. The general plants and flowers are growing worse and worse along with the prolonging of time, the main reason is the irradiation of light, and the LED lamps suitable for the spectrum required by the plants are used for irradiating, so that the growth of the plants and flowers can be promoted, the growth period is shortened, the quantity of fruits is increased, and the nutritional quality can be improved. If the LED light source can obtain key plant growth data in indoor plant cultivation, the LED light source plays a great role in agricultural illumination and completely replaces natural illumination and traditional artificial illumination. With the continuous improvement of the Chinese LED plant lighting technology, the production cost of the LED plant lighting device is gradually reduced, and the permeability is gradually improved. In general, from the perspective of promoting the development of modern agriculture and realizing energy conservation and environmental protection, the application of the LED to agriculture has very important significance, and the status and development requirements of agriculture also provide development opportunities for the LED.
At present, the research of a plant growth parameter collection and AI (Artificial Intelligence) analysis system is developed, plants can be planted under the conditions of no water and seawater or even more harsh conditions and can be harvested in a short period, the parameter collection AI analysis system based on the same system can gradually establish big data of different plant planting, the data has great application value for agricultural planting under different planting environments or even harsh conditions, plant nutrition and human health are improved, and the problem of increasing agricultural yield is of great significance. The method is mainly applied to the stages of application tests of plant lighting lamps, cooperative application demonstration of related parameters and agronomy experts and the like. Research related to wisdom agriculture based on parameter collection AI analysis systems has not yet fully begun.
Therefore, how to provide a control method, a control device, a plant growth lamp and a control system for plant growth to solve the defects that the prior art cannot perform targeted irradiation according to different growth stages of plants, and the like, is a technical problem to be solved by those skilled in the art.
Disclosure of Invention
In view of the above-mentioned drawbacks of the prior art, an object of the present invention is to provide a method, a control device, a plant growth lamp and a control system for controlling plant growth, which are used to solve the problem that the prior art cannot perform targeted irradiation according to different growth stages of plants.
To achieve the above and other related objects, according to one aspect of the present invention, there is provided a method for controlling plant growth, comprising: acquiring plant growth images at different time periods; identifying the plant growth image to identify the growth condition of the plant; determining a growth control strategy based on the growth condition; the growth control strategy comprises a parameter adjustment trend corresponding to plant growth factors; and adjusting preset input parameters according to the growth control strategy.
In an embodiment of the present invention, the step of identifying the plant growth image includes: identifying size data of each organ of the plant in the plant growth image; and converting the size data into the actual size of each organ of the plant according to the conversion relation between the plant growth image and the actual plant size.
In an embodiment of the present invention, the step of identifying the growth status of the plant includes: for each plant organ, determining a size difference of the plant organ according to the actual size of the first time period and the actual size of the second time period; comparing the size difference to an expected difference; if the size difference value and the expected difference value are within a preset range, judging that the plant grows normally; and if the size difference value and the expected difference value are not in a preset range, judging that the plant grows abnormally.
In an embodiment of the invention, the step of identifying the growth status of the plant further includes: obtaining nutrient content analysis data of the plant; identifying the growth condition of the plant in combination with the nutrient content analysis data and the actual size of the plant organ.
In one embodiment of the present invention, the plant growth factor is illumination brightness; the step of determining a growth control strategy based on the growth condition comprises: in response to the growth condition being abnormal growth, determining the red light illumination requirement and the blue light illumination requirement of the plant according to the growth stage of the plant; determining a red light target brightness value according to the red light illumination requirement, and determining a blue light target brightness value according to the blue light illumination requirement; determining the parameter adjustment trend of red light according to the magnitude relation between the red light target brightness value and a preset red light input parameter; determining the parameter adjustment trend of the blue light according to the size relation between the blue light target brightness value and a preset blue light input parameter; determining the growth control strategy based on the parameter adjustment trend of the red light and the parameter adjustment trend of the blue light.
In an embodiment of the invention, after the step of adjusting the preset input parameters according to the growth control strategy, the method for controlling plant growth further includes: and acquiring the plant growth image at different time intervals again, identifying the plant growth image, identifying the growth condition of the plant, and readjusting the adjusted parameters according to the growth condition.
In an embodiment of the invention, the step of determining the growth control strategy based on the growth condition includes: comparing the growth conditions of at least two groups of plants of the same type, and determining the parameters corresponding to the group of plants with the best growth conditions as the optimal parameters; determining a parameter adjustment trend according to the size relationship between the optimal parameter and the preset input parameter; determining the growth control strategy based on the parameter adjustment trend.
To achieve the above and other related objects, another aspect of the present invention provides a control apparatus comprising: a processor and a memory; the memory is used for storing computer programs, and the processor is used for executing the computer programs stored by the memory so as to enable the control device to execute the plant growth control method.
To achieve the above and other related objects, according to yet another aspect of the present invention, there is provided a plant growth lamp comprising: the red lamp, the blue lamp, the power supply and the control equipment; the power supply is respectively connected with the red light, the blue light and the control equipment.
To achieve the above and other related objects, a final aspect of the present invention provides a plant growth control system comprising: the plant growth environment sensor, the environment factor regulating device, the camera, the server and the plant growth lamp; the plant growth environment sensor, the environment factor regulating device, the camera and the server are all connected with the plant growth lamp; the plant growth environment sensor is used for transmitting the collected data of the plant growth environment sensor to the plant growth lamp; the collected data comprises at least one of the temperature, the humidity, the carbon dioxide concentration, or the pH; the camera is used for collecting plant growth images at different time periods and transmitting the plant growth images to the plant growth lamp; the plant growth lamp is used for transmitting the obtained plant growth image and the acquired data of the plant growth environment sensor to the server; the server identifies the plant growth image and identifies the growth condition of the plant by combining the collected data of the plant growth environment sensor; determining a growth control strategy based on the growth condition; the growth control strategy comprises a parameter adjustment trend corresponding to plant growth factors; transmitting the growth control strategy to the plant growth lamp for transmission of the growth control strategy to the environmental factor regulating device via the plant growth lamp; and the environment factor regulating and controlling device is used for regulating preset input parameters according to the growth control strategy.
As described above, the method, the device, the lamp and the system for controlling plant growth according to the present invention have the following advantages:
the invention provides a brand-new plant growth control method for promoting plant growth and improving plant nutrition and an AI plant growth lamp, which enable artificial intelligence to intelligent agriculture, use an LED lamp to replace sunlight, use an AI technology to change parameters such as input wavelength, illumination intensity, temperature and humidity, PH value and the like, monitor the growth condition of plants and obtain output parameters to continuously optimize a system model, thereby achieving the core information of the intelligent agriculture such as a spectrum curve, illumination intensity, even temperature and humidity of a whole set of relatively optimized growth period corresponding to the plants. A mathematical modeling and intelligent sensing processing system for typical plant growth application is established, and appropriate parameters such as specific spectrum, PPF value, moisture, PH value and the like related to each plant are subjected to ecosystem circulation in a totally-enclosed environment. According to the growth period of each plant, proper illumination, nutrients, temperature and humidity and the like are given to accelerate the growth of the plants and promote the aggregation of the nutrient components, thereby realizing the maximum value.
Drawings
FIG. 1 is a schematic flow chart of a method for controlling plant growth according to an embodiment of the present invention.
Fig. 2 is a flowchart illustrating a growth status recognition method of a plant growth control method according to an embodiment of the present invention.
Fig. 3 is a flowchart of the generation of a control strategy in an embodiment of the method for controlling plant growth of the present invention.
FIG. 4 is a schematic diagram of DNN in an embodiment of the method for controlling plant growth of the present invention.
FIG. 5 is a schematic RNN diagram of a method for controlling plant growth according to the present invention in one embodiment.
Fig. 6 is a schematic structural connection diagram of a control device according to an embodiment of the present invention.
FIG. 7 is a schematic view of a plant growth lamp according to an embodiment of the present invention.
FIG. 8 is a schematic diagram of a plant growth control system according to an embodiment of the present invention.
Description of the element reference numerals
1 control device
11 processor
12 memory
2 Red lamp
3 blue lamp
4 power supply
S11-S14
S121 to S125
S131 to S134 steps
Detailed Description
The embodiments of the present invention are described below with reference to specific embodiments, and other advantages and effects of the present invention will be easily understood by those skilled in the art from the disclosure of the present specification. The invention is capable of other and different embodiments and of being practiced or of being carried out in various ways, and its several details are capable of modification in various respects, all without departing from the spirit and scope of the present invention. It is to be noted that the features in the following embodiments and examples may be combined with each other without conflict.
It should be noted that the drawings provided in the following embodiments are only for illustrating the basic idea of the present invention, and the drawings only show the components related to the present invention rather than the number, shape and size of the components in actual implementation, and the type, quantity and proportion of the components in actual implementation may be changed freely, and the layout of the components may be more complicated.
As different plants are different in required specific effective spectrum, illumination intensity and the like in the whole growth period process, even under the constant conditions of temperature, humidity, nutrient solution and the like, core information of specific spectrum data is generally obtained through a long-time study of agricultural experts or related planting enterprises, and the plant growth lamp develops a corresponding LED intelligent lighting product according to the specific spectrum and the illumination intensity, adjusts the illumination intensity along with the growth time of the plants and even adjusts the spectrum curve. The existing plant growth lamp has the following defects:
1. the full-spectrum plant growth lamp is an artificial light source with full spectrum developed according to the principle of simulating the solar spectrum proportioning according to the plant growth rule, and has wide radiation range. Aiming at the agricultural greenhouse, as supplementary illumination, the illumination can be enhanced at any time of a day so as to help the plants to carry out photosynthesis all the time. Especially during the winter months, the effective illumination time can be prolonged. The illumination required by the plants can be effectively prolonged and scientifically controlled no matter in dusk or at night, and the influence of any environmental change is avoided. However, it cannot be specifically irradiated according to specific plants and different growth stages, and even cannot be specifically irradiated according to the requirements of nutrient components, and the utilization rate of illumination is low.
2. Using blue (470nm) and red (630nm) LEDs for combination, light at 400-500nm (blue) and light at 610-720nm (red) contributed the most to photosynthesis. Blue light contributes to plant photosynthesis and can promote green leaf growth, protein synthesis and fruit formation; the red light can promote the growth of plant rootstock, is helpful for flowering and fruiting, prolongs the flowering period and plays a role in increasing yield. However, it requires sufficient planting experience, and it is necessary to know exactly which wavelength band and intensity of light irradiation the plant requires at each stage of production, and then to irradiate as desired. It fails to find the deficiencies of the existing planting experience, not to mention the optimized irradiation method.
The plant growth control method, the plant growth control equipment, the plant growth lamp and the plant growth control system can provide proper illumination, nutrients, temperature and humidity and the like according to different stages of each plant growth cycle, further provide proper illumination, nutrients, temperature and humidity and the like by combining the aggregation of nutrient components, accelerate the plant growth through intelligent monitoring and reasonable regulation and control, promote the aggregation of the nutrient components and further realize the maximum value.
The principle and implementation of the method, the control device, the lamp and the system for controlling plant growth according to the present embodiment will be described in detail below with reference to fig. 1 to 6, so that those skilled in the art can understand the method, the control device, the lamp and the system for controlling plant growth according to the present embodiment without creative work.
Please refer to fig. 1, which is a schematic flow chart illustrating a method for controlling plant growth according to an embodiment of the present invention. As shown in fig. 1, the method for controlling plant growth specifically comprises the following steps:
and S11, acquiring plant growth images at different time intervals.
Specifically, as the plant grows, plant growth images such as leaf growth, flowering, fruit formation, and the like are acquired.
And S12, identifying the plant growth image and identifying the growth condition of the plant.
Please refer to fig. 2, which is a flowchart illustrating a growth status recognition method of a method for controlling plant growth according to an embodiment of the present invention.
As shown in fig. 2, S12 specifically includes the following steps:
and S121, identifying the size data of each organ of the plant in the plant growth image.
Specifically, for the plant leaf growth stage, the leaf area of the plant can be obtained; for the fruit formation stage, parametric data such as the diameter of the plant fruit can be obtained.
And S122, converting the size data into the actual sizes of all organs of the plant according to the conversion relation between the plant growth image and the actual plant size.
Specifically, according to the parameters of the photographing equipment of the plant growth image, the conversion relation between the plant growth image and the actual plant size is determined, and then the size data is converted into the actual size of each organ of the plant.
And S123, determining the size difference of the plant organs according to the actual size of the first time interval and the actual size of the second time interval aiming at each plant organ.
Specifically, for example, if the actual size of a fruit of a certain plant is 7cm in the first period and 7.5cm in the second period, the difference in the sizes of plant organs is 0.5 cm.
And S124, comparing the size difference with an expected difference.
Specifically, for example, a desired difference is 1.5cm, and the size difference of 0.5cm is smaller than the desired difference.
S125, if the size difference value and the expected difference value are within a preset range, judging that the plant grows normally; and if the size difference value and the expected difference value are not in a preset range, judging that the plant grows abnormally.
Specifically, the preset range is set to be within 0.6cm, and the difference between the size difference value of 0.5cm and the expected difference value of 1.5cm is 1cm, so that the plant growth abnormality is judged when the difference exceeds the preset range by 0.6 cm.
In one embodiment, the step of identifying the growth condition of the plant further comprises:
(1) and acquiring nutrient content analysis data of the plant.
Specifically, the nutrient content refers to the nutrient content of leaves in leafy vegetables such as leeks, and the nutrient content refers to the nutrient content of fruits in fruit plants such as apples.
(2) Identifying the growth condition of the plant in combination with the nutrient content analysis data and the actual size of the plant organ.
Therefore, the invention can determine the difference between the nutrient content in the current plant growth condition and the nutrient content in the demand of people according to the demand of people on the nutrient content of the product, thereby changing the wavelength of light and the illumination intensity. By changing the wavelength of light and the illumination intensity, on one hand, the aggregation of the nutrient components is accelerated, and on the other hand, the aggregation period of the nutrient components is prolonged, so that the nutrient components of the plants are improved.
S13, determining a growth control strategy based on the growth condition; the growth control strategy includes a parameter adjustment trend corresponding to a plant growth factor.
Please refer to fig. 3, which is a flowchart illustrating a control strategy generation process of the method for controlling plant growth according to an embodiment of the present invention.
As shown in fig. 3, the plant growth factor is illumination brightness, and S13 specifically includes the following steps:
s131, responding to the growth condition of abnormal growth, and determining the red light illumination requirement and the blue light illumination requirement of the plant according to the growth stage of the plant.
In particular, blue (470nm) and red (630nm) LEDs are used in combination, with monochromatic or composite light illumination applied, depending on the growth stage. The lighting requirements at different stages of plant growth are as follows: as in the rhizome growth stage, the light demand is biased by the longer wavelength red light, which also helps flowering and fruiting and extends flowering time; in the leaf growth stage, the illumination requirement is inclined to the irradiation of blue light with shorter wavelength to promote the growth of green leaves, and the blue light also contributes to protein synthesis and fruit formation. And adjusting the brightness of the light according to different requirements of each stage on the light polymerization Photon Flux PPF (Photon Flux means that the wavelength is in the 400-700nm band, the micromole quantity of photons radiated by the artificial light source per second and the unit umol/s). It is necessary to output light of different wavelengths and illumination intensities to promote the growth of plants.
S132, determining a red light target brightness value according to the red light illumination requirement, and determining a blue light target brightness value according to the blue light illumination requirement.
Specifically, it is determined that the current growth stage of the plant is a leaf growth stage, the illumination requirement is inclined to blue light illumination with a shorter wavelength, and pure blue light illumination can be used, so that the target brightness value of red light is 0, and the target brightness value of blue light is higher; or the red light and the blue light in a certain proportion are used for being irradiated in a matching mode, so that the brightness value of the red light target is lower, and the brightness value of the blue light target is higher.
S133, determining a parameter adjustment trend of red light according to the magnitude relation between the red light target brightness value and a preset red light input parameter; and determining the parameter adjustment trend of the blue light according to the size relation between the blue light target brightness value and a preset blue light input parameter.
S134, determining the growth control strategy based on the parameter adjustment trend of the red light and the parameter adjustment trend of the blue light.
In one embodiment, the red light requirement and the blue light requirement of the plant may be initial values of the light intensity preset according to expert experience. The parameters corresponding to a group of plants with the best growth conditions can be determined as the optimal parameters by comparing the growth conditions of at least two groups of plants with the same type; determining a parameter adjustment trend according to the size relationship between the optimal parameter and the preset input parameter; determining the growth control strategy based on the parameter adjustment trend. For example, the optimal parameters of illumination are used as the red light illumination requirement and the blue light illumination requirement of the plant, and besides, the optimal parameters can also be determined for other parameters such as wavelength, temperature, humidity, PH value and the like.
And S14, adjusting preset input parameters according to the growth control strategy.
In an embodiment, after step S14, the method for controlling plant growth further includes: and acquiring the plant growth image at different time intervals again, identifying the plant growth image, identifying the growth condition of the plant, and readjusting the adjusted parameters according to the growth condition.
Specifically, for example, the initial value of the illumination intensity is preset to be 100lux of expert empirical data, the value is adjusted to be 110lux according to the growth control strategy, and further, in the full closed-loop control optimization process, the optimal value of the illumination intensity required by the plant in the growth stage is found to be 105 lux. Through multiple adjustments, the various environmental parameters of each growth stage of each type of plant are gradually adjusted to be optimal.
In practical application, the control method for plant growth is realized by the following steps: when planting is started, initial values of illumination intensity, wavelength, temperature and humidity, pH value and the like are preset according to plant growth characteristics and expert experience, then input parameters (illumination intensity, wavelength, temperature and humidity, pH value and the like) are changed by a remote control method through analysis of plant growth conditions at a server end, the growth conditions (growth speed of roots, stems and leaves, aggregation period of nutrient components and the like) of plants are checked through a monitoring image, nutrient content analysis data are obtained, and output parameters (growth period and nutrient content) are obtained. In order to accelerate the process, the same plant can be planted in batch at the same time, different input parameters are used for inputting, and output parameters are observed. And further, after the output parameters are obtained, a mathematical model is established by using an AI technology through machine learning and deep learning, and a functional relation between output and input is obtained.
Please refer to fig. 4, which is a DNN schematic diagram of a method for controlling plant growth according to an embodiment of the present invention. As shown in fig. 4, by adding some intermediate layers through a Deep Neural network DNN (Deep Neural Networks), the accuracy of the functional relationship between the output and the input is greatly improved.
Please refer to fig. 5, which is a schematic diagram of RNN in an embodiment of the method for controlling plant growth of the present invention. As shown in fig. 5, according to the model, a more optimal input parameter is found, and then a Recurrent Neural Network (RNN) is applied to add a feedback loop, so that the accuracy of the functional relationship between the output and the input is improved again. And then, reversely deducing input parameters according to the functional relation and an expected result, continuously checking and verifying output according to the parameter input, and repeatedly circulating until all kinds of environmental parameters of all growth stages of all kinds of plants are adjusted to be optimal.
The protection scope of the method for controlling plant growth according to the present invention is not limited to the execution sequence of the steps illustrated in the embodiment, and all the solutions of the prior art including the steps addition, subtraction and step replacement according to the principles of the present invention are included in the protection scope of the present invention.
Fig. 6 is a schematic structural connection diagram of a control device according to an embodiment of the present invention. As shown in fig. 6, the present embodiment provides a control device 1, which specifically includes: a processor 11 and a memory 12; the memory 12 is configured to store a computer program, and the processor 11 is configured to execute the computer program stored in the memory 12 to enable the control device 1 to execute the steps of the control method for plant growth.
The Processor 11 may be a general-purpose Processor, and includes a Central Processing Unit (CPU), a Network Processor (NP), and the like; the Integrated Circuit may also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, discrete gate or transistor logic device, discrete hardware component.
The Memory 12 may include a Random Access Memory (RAM), and may further include a non-volatile Memory (non-volatile Memory), such as at least one disk Memory.
Please refer to fig. 7, which is a schematic structural connection diagram of a plant growth lamp according to an embodiment of the present invention. As shown in fig. 7, the plant growth lamp according to the present invention includes: a red light, a blue light, a power supply and the control device; the power supply is respectively connected with the red light, the blue light and the control equipment.
Please refer to fig. 8, which is a schematic structural diagram of a plant growth control system according to an embodiment of the present invention. As shown in fig. 8, the system for controlling plant growth according to the present invention comprises: the plant growth environment sensor, the environment factor regulating device, the camera, the server and the plant growth lamp; the vegetation environment sensor environmental factor regulation and control device the camera the server all with the vegetation lamp is connected. The server may be arranged on one or more entity servers according to various factors such as functions, loads, and the like, or may be a cloud server formed by a distributed or centralized server cluster, which is not limited in this embodiment.
The plant growth environment sensor is used for transmitting the collected data of the plant growth environment sensor to the plant growth lamp; the collected data includes at least one of the temperature, the humidity, the carbon dioxide concentration, or the pH.
Specifically, vegetation environment sensor includes detection, sensing equipment such as temperature and humidity probe, PH value probe, is connected with the inside intelligent control module of lamps and lanterns, can detect humiture, PH value etc. in real time to upload the server with the information that detects, just can observe and the growing environment of analysis plant at the server end. After the product is mature and picked, the nutrient components of the product are analyzed by the nutrient component sensor and uploaded to the server.
The camera is used for collecting plant growth images in different time periods and transmitting the plant growth images to the plant growth lamp.
The plant growth lamp is used for transmitting the obtained plant growth image and the collected data of the plant growth environment sensor to the server.
The server identifies the plant growth image and identifies the growth condition of the plant by combining the collected data of the plant growth environment sensor; determining a growth control strategy based on the growth condition; the growth control strategy comprises a parameter adjustment trend corresponding to plant growth factors; transmitting the growth control strategy to the plant growth lamp to transmit the growth control strategy to the environmental factor regulation device through the plant growth lamp.
And the environment factor regulating and controlling device is used for regulating preset input parameters according to the growth control strategy.
Specifically, the environment factor regulation and control device comprises switches and valves for heating, humidifying, nutrient solution supplying and the like, can issue instructions at the server end, controls the on-off of the switches and the valves through the intelligent control module, changes the temperature and humidity of the plant growing environment, nutrient solution supply, PH value adjustment and the like, and can issue light and color adjusting instructions through the server to change the wavelength and the intensity of LED light.
Therefore, the plant growth control system can automatically change input parameters through the cooperation of the server, the plant growth lamp, each environmental sensor and the regulation and control device, and continuously optimize a system model through monitoring output parameters, so that the closed-loop control of a spectrum curve, illumination intensity, even temperature and humidity and the like of the whole set of relatively optimized growth period corresponding to the plants is achieved.
The principle of the plant growth control system of the present invention corresponds to the plant growth control method, and the plant growth control system of the present invention can implement the plant growth control method of the present invention, but the implementation apparatus of the plant growth control method of the present invention includes, but is not limited to, the structure of the plant growth control system described in this embodiment, and all the structural modifications and substitutions of the prior art made according to the principle of the present invention are included in the protection scope of the present invention.
In summary, the plant growth control method, the plant growth control device, the plant growth lamp and the control system of the invention provide a brand-new plant growth control method and an AI plant growth lamp for promoting plant growth and improving plant nutrition, enable artificial intelligence to intelligent agriculture, replace sunlight with an LED lamp, change parameters such as input wavelength, illumination intensity, temperature and humidity, PH value and the like with an AI technology, monitor the growth condition of plants, and obtain output parameters to continuously optimize a system model, thereby achieving the core information of intelligent agriculture such as spectrum curve, illumination intensity, even temperature and humidity of a whole set of relatively optimized growth period corresponding to the plants. The method combines the relevant experience of agricultural experts with the field data of real-time detection, establishes a mathematical modeling and intelligent sensing processing system for typical plant growth application, and performs ecosystem circulation in a totally-enclosed environment by using appropriate parameters such as specific spectrum, PPF value, moisture, PH value and the like relevant to each plant. According to the growth period of each plant, proper illumination, nutrients, temperature and humidity and the like are given to accelerate the growth of the plants and promote the aggregation of the nutrient components, thereby realizing the maximum value. The invention effectively overcomes various defects in the prior art and has high industrial utilization value.
The foregoing embodiments are merely illustrative of the principles and utilities of the present invention and are not intended to limit the invention. Any person skilled in the art can modify or change the above-mentioned embodiments without departing from the spirit and scope of the present invention. Accordingly, it is intended that all equivalent modifications or changes which can be made by those skilled in the art without departing from the spirit and technical spirit of the present invention be covered by the claims of the present invention.
Claims (10)
1. A method for controlling plant growth, comprising:
acquiring plant growth images at different time periods;
identifying the plant growth image to identify the growth condition of the plant;
determining a growth control strategy based on the growth condition; the growth control strategy comprises a parameter adjustment trend corresponding to plant growth factors;
and adjusting preset input parameters according to the growth control strategy.
2. The method for controlling plant growth according to claim 1, wherein the step of identifying the plant growth image includes:
identifying size data of each organ of the plant in the plant growth image;
and converting the size data into the actual size of each organ of the plant according to the conversion relation between the plant growth image and the actual plant size.
3. The method of claim 2, wherein the step of identifying the growth condition of the plant comprises:
for each plant organ, determining a size difference of the plant organ according to the actual size of the first time period and the actual size of the second time period;
comparing the size difference to an expected difference;
if the size difference value and the expected difference value are within a preset range, judging that the plant grows normally; and if the size difference value and the expected difference value are not in a preset range, judging that the plant grows abnormally.
4. The method of claim 2, wherein the step of identifying the growth condition of the plant further comprises:
obtaining nutrient content analysis data of the plant;
identifying the growth condition of the plant in combination with the nutrient content analysis data and the actual size of the plant organ.
5. The method of claim 1, wherein the plant growth factor is illumination intensity; the step of determining a growth control strategy based on the growth condition comprises:
in response to the growth condition being abnormal growth, determining the red light illumination requirement and the blue light illumination requirement of the plant according to the growth stage of the plant;
determining a red light target brightness value according to the red light illumination requirement, and determining a blue light target brightness value according to the blue light illumination requirement;
determining the parameter adjustment trend of red light according to the magnitude relation between the red light target brightness value and a preset red light input parameter; determining the parameter adjustment trend of the blue light according to the size relation between the blue light target brightness value and a preset blue light input parameter;
determining the growth control strategy based on the parameter adjustment trend of the red light and the parameter adjustment trend of the blue light.
6. The method of claim 1, wherein after the step of adjusting the preset input parameters according to the growth control strategy, the method further comprises:
and acquiring the plant growth image at different time intervals again, identifying the plant growth image, identifying the growth condition of the plant, and readjusting the adjusted parameters according to the growth condition.
7. The method of claim 1, wherein the step of determining a growth control strategy based on the growth conditions comprises:
comparing the growth conditions of at least two groups of plants of the same type, and determining the parameters corresponding to the group of plants with the best growth conditions as the optimal parameters;
determining a parameter adjustment trend according to the size relationship between the optimal parameter and the preset input parameter;
determining the growth control strategy based on the parameter adjustment trend.
8. A control apparatus, characterized by comprising: a processor and a memory;
the memory is used for storing a computer program, and the processor is used for executing the computer program stored by the memory to cause the control device to execute the control method for plant growth according to any one of claims 1 to 7.
9. A plant growth lamp, comprising: a red light, a blue light, a power supply and a control device according to claim 8; the power supply is respectively connected with the red light, the blue light and the control equipment.
10. A system for controlling plant growth, comprising: a plant growth environment sensor, an environmental factor regulation device, a camera, a server and the plant growth lamp of claim 9; the plant growth environment sensor, the environment factor regulating device, the camera and the server are all connected with the plant growth lamp;
the plant growth environment sensor is used for transmitting the collected data of the plant growth environment sensor to the plant growth lamp; the collected data comprises at least one of the temperature, the humidity, the carbon dioxide concentration, or the pH;
the camera is used for collecting plant growth images at different time periods and transmitting the plant growth images to the plant growth lamp;
the plant growth lamp is used for transmitting the obtained plant growth image and the acquired data of the plant growth environment sensor to the server;
the server identifies the plant growth image and identifies the growth condition of the plant by combining the collected data of the plant growth environment sensor; determining a growth control strategy based on the growth condition; the growth control strategy comprises a parameter adjustment trend corresponding to plant growth factors; transmitting the growth control strategy to the plant growth lamp for transmission of the growth control strategy to the environmental factor regulating device via the plant growth lamp;
and the environment factor regulating and controlling device is used for regulating preset input parameters according to the growth control strategy.
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