Modular combinable plant appreciation and growth control system

Abstract

The invention discloses a modularized combinable plant viewing and growth control system, and relates to the technical field of plant growth cultivation, firstly, environmental parameters in a closed transparent viewing container are analyzed, and a fluid loop in the container is dynamically adjusted according to the environmental parameters, so that gas circulation and microenvironment distribution are optimized; the fluorescent imaging focusing area is screened to guide the display position of the fluorescent imaging focusing area in the decorative wall or the ornamental layout. On the basis, planting plants in each focusing area are clustered, and light sources in the focusing areas are adjusted, so that targeted light environment optimization is realized; the method not only realizes multi-scale and multi-dimensional data-driven decision, but also promotes the refinement, response and individuation of plant growth regulation and control, and further ensures the stable presentation of the ornamental effect and the continuous optimization of the plant health status.

Description

Technical Field

[0001] The present invention relates to the technical field of plant growth cultivation, and particularly to a modular and combinable plant ornamental and growth control system. Background Art

[0002] The plant ornamental and growth control system realizes real-time monitoring and precise management of the growth environment and state of plants in a closed transparent ornamental container by integrating sensing, imaging and intelligent control technologies. With the improvement of the demand for modern urban greening and indoor gardening, it can optimize the plant growth conditions in a limited space and improve the ornamental value and ecological benefits.

[0003] For example, in the control method for plant growth, control device, plant growth lamp and control system announced in the patent with the publication number CN113711798B, the control method for plant growth includes: acquiring plant growth images at different time periods; performing recognition processing on the plant growth images to recognize the growth status of the plants; determining a growth control strategy based on the growth status; the growth control strategy includes a parameter adjustment trend corresponding to plant growth factors; and adjusting preset input parameters according to the growth control strategy.

[0004] For example, a family intelligent plant growth promotion control system announced in the patent with the publication number CN107593141B includes a planting tank filled with soil and planted with plants, as well as a solar power supply system, an irrigation system, a light control system, a humidity control system and a temperature control system.

[0005] However, in the process of implementing the technical solutions of the present invention in the embodiments of the present application, it is found that the above technologies have at least the following technical problems: Sensors are difficult to achieve real-time and precise monitoring of the growth status of plants, cannot meet the differentiated needs of multiple varieties, and cannot meet the needs of plants, resulting in low survival rate and resource waste, which is not conducive to the healthy growth of plants, reduces the ornamental value and damages the operation efficiency of the system. Summary of the Invention

[0006] In view of the deficiencies of the prior art, the present invention provides a modular and combinable plant ornamental and growth control system to solve the problems described in the above background art.

[0007] To achieve the above objectives, the present invention is realized through the following technical solutions: A modular and combinable plant ornamental and growth control system includes a growth deviation evaluation module, which is used to collect environmental data of the plants planted in a closed transparent ornamental container and analyze it to obtain the growth deviation factor of the planted plants, and adjust the fluid circuit of the closed transparent ornamental container according to the growth deviation factor of the planted plants.

[0008] A fluorescence focusing characterization module, which is used to divide the sealed transparent ornamental container into several sub-regions, collect the leaf surface reflection spectra in each sub-region of the sealed transparent ornamental container to generate a growth activity distribution map of the planted plants, combine the growth deviation factors of the planted plants to obtain the fluorescence imaging focusing characterization values of the planted plants in each sub-region of the sealed transparent ornamental container, screen to obtain each fluorescence imaging focusing region, and obtain the visual interface priority of each fluorescence imaging focusing region.

[0009] A light efficiency analysis and regulation module, which is used to divide the planted plants in each fluorescence imaging focusing region to obtain various planted plant clusters in each fluorescence imaging focusing region, collect and analyze the fluorescence imaging measurement parameters of various planted plant clusters in each fluorescence imaging focusing region to obtain the light efficiency index of each fluorescence imaging focusing region, adjust the light source of each fluorescence imaging focusing region, and give an early warning to the sealed transparent ornamental container.

[0010] Furthermore, the process of obtaining the growth deviation factor of the planted plants is as follows: Extract the environmental data of the planted plants in the sealed transparent ornamental container, including air temperature, relative humidity, carbon dioxide concentration, photosynthetically active radiation intensity, and light duration.

[0011] Perform ratio analysis on the air temperature and the optimal growth air temperature, relative humidity and the optimal growth humidity, carbon dioxide concentration and the optimal growth carbon dioxide concentration, photosynthetically active radiation intensity and the optimal growth photosynthetically active radiation intensity, and light duration and the optimal growth light duration respectively, and introduce a weight coefficient to obtain the growth deviation factor of the planted plants. The growth deviation factor of the planted plants is used to evaluate the deviation degree of the current environmental conditions in the sealed transparent ornamental container relative to the ideal growth state conditions.

[0012] Furthermore, the process of adjusting the fluid circuit of the sealed transparent ornamental container is as follows: Extract the growth deviation factor of the planted plants, compare and match it with the nutrient solution flow rate increment corresponding to each interval of the preset growth deviation factor of the planted plants to obtain the nutrient solution flow rate increment of the planted plants, and adjust the nutrient solution flow rate in the fluid circuit of the sealed transparent ornamental container according to the nutrient solution flow rate increment of the planted plants.

[0013] Furthermore, the process of obtaining the fluorescence imaging focusing characterization value of the planted plants in each sub-region of the sealed transparent ornamental container is as follows: Collect the ratio of the reflection intensities of the leaves in each sub-region of the sealed transparent ornamental container to near-infrared light and red light and the absolute average value of the total band reflection intensity through a multi-channel imaging spectrometer.

[0014] The ratio of the reflection intensity of the leaves in each sealed transparent ornamental container sub-region to near-infrared light and red light is respectively analyzed in proportion to the reference ratio of the reflection intensity of near-infrared light and red light, and the absolute average value of the total band reflection intensity is analyzed in proportion to the reference absolute average value of the total band reflection intensity. A weight coefficient and a growth deviation factor of the planted plants are introduced to obtain the fluorescence imaging focusing characterization value of the planted plants in each sealed transparent ornamental container sub-region. The fluorescence imaging focusing characterization value of the planted plants in each sealed transparent ornamental container sub-region is used to evaluate and quantify the local abnormality degree of each sealed transparent ornamental container sub-region relative to the ideal photosynthetic state.

[0015] Further, each fluorescence imaging focusing region is screened. The specific process is as follows: The fluorescence imaging focusing characterization value of the planted plants in each sealed transparent ornamental container sub-region is extracted and compared with the fluorescence imaging focusing characterization threshold of the planted plants set in the database. If the fluorescence imaging focusing characterization value of the planted plants in a certain sealed transparent ornamental container sub-region is higher than or equal to the fluorescence imaging focusing characterization threshold of the planted plants, then this sealed transparent ornamental container sub-region is marked as a fluorescence imaging focusing region. If the fluorescence imaging focusing characterization value of the planted plants in a certain sealed transparent ornamental container sub-region is lower than the fluorescence imaging focusing characterization threshold of the planted plants, then this sealed transparent ornamental container sub-region does not need to be marked as a fluorescence imaging focusing region. Thus, each fluorescence imaging focusing region is obtained.

[0016] Further, the visual interface priority of each fluorescence imaging focusing region is obtained. The specific process is as follows: The fluorescence imaging focusing characterization value of the planted plants in each fluorescence imaging focusing region is extracted and sorted from small to large. The visual interface priority of each fluorescence imaging focusing region is obtained according to the sorting of the fluorescence imaging focusing characterization value of the planted plants in each fluorescence imaging focusing region.

[0017] Further, various planted plant clusters in each fluorescence imaging focusing region are obtained. The specific process is as follows: The fluorescence imaging image data of each fluorescence imaging focusing region is acquired. Through image segmentation technology, multiple plants in the fluorescence imaging focusing region are divided into several plant clusters. Thus, various planted plant clusters in each fluorescence imaging focusing region are obtained.

[0018] Further, the light source of each fluorescence imaging focusing region is adjusted. The specific process is as follows: The light efficiency index of each fluorescence imaging focusing region is extracted and compared with the light efficiency index threshold of the fluorescence imaging focusing region preset in the database. If the light efficiency index of a certain fluorescence imaging focusing region is lower than the light efficiency index threshold of the fluorescence imaging focusing region, then the light source of this fluorescence imaging focusing region is adjusted. If the light efficiency index of a certain fluorescence imaging focusing region is higher than or equal to the light efficiency index threshold of the fluorescence imaging focusing region, then the light source of this fluorescence imaging focusing region does not need to be adjusted.

[0019] Further, a warning is issued for the sealed transparent viewing container. The specific process is as follows: several monitoring cycles are preset. In each monitoring cycle, the light efficiency index of each fluorescence imaging focusing area is extracted, and the number of cycles in which the light efficiency index of each fluorescence imaging focusing area is lower than the preset light efficiency index threshold in each monitoring cycle is counted, which is recorded as the number of light efficiency insufficient cycles. If the number of light efficiency insufficient cycles is higher than or equal to the light efficiency insufficient cycle number threshold preset in the database, a warning is issued for the sealed transparent viewing container. If the number of light efficiency insufficient cycles is lower than the preset light efficiency insufficient cycle number threshold, there is no need to issue a warning for the sealed transparent viewing container.

[0020] One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages: (1) A modular and combinable plant viewing and growth control system provided by the present invention first collects the environmental parameters inside the sealed transparent viewing container to obtain the growth deviation factors of the planted plants, and dynamically adjusts the fluid circuit inside the container accordingly, so as to optimize the gas circulation and microenvironment distribution. Subsequently, the system divides the sealed container into several sub-regions, forms representative fluorescence imaging focusing areas through screening, and further assigns visual interface priorities to these areas to guide their display positions in the decorative wall or viewing layout. On this basis, the planted plants in each focusing area are clustered, and the light intensity, spectral composition and irradiation timing of the light source in the area are intelligently adjusted accordingly, so as to achieve targeted light environment optimization. If the light efficiency is continuously detected to be extremely low, the system can also automatically send a warning signal to the entire container, guiding the user to intervene or automatically triggering an emergency mechanism, which not only realizes multi-scale and multi-dimensional data-driven decision-making, but also promotes the refinement, responsiveness and personalization of plant growth regulation, and further ensures the stable presentation of the viewing effect and the continuous optimization of the plant health state.

[0021] (2) By obtaining the growth deviation factors of the planted plants, the present invention can realize the real-time and accurate quantification of the plant growth state, making up for the problems of lag and insufficient accuracy in traditional sensor monitoring, thus helping to promote the precise monitoring and dynamic adjustment of the plant growth environment by the system, helping to reduce the waste of resources and the decline of plant survival rate caused by environmental fluctuations, improving the environmental adaptability and management efficiency of the modular and combinable plant viewing and growth control system, and thus helping to optimize the stability and consistency of the plant growth state and viewing performance.

[0022] (3) By obtaining the fluorescence imaging focusing characterization values of the plants planted in each sub-region of the airtight transparent ornamental container, the present invention helps to accurately locate and grade the growth state of plants, provides a scientific basis for local anomaly recognition and visual focus allocation for the modular combinable plant ornamental and growth control system, effectively solves the problem that the one-size-fits-all ornamental layout cannot take into account multiple varieties and states, and effectively improves the intelligent level and response efficiency of the system in plant health monitoring, light management and ornamental effect optimization.

[0023] (4) By obtaining the light efficiency index of each fluorescence imaging focusing region, the present invention helps to dynamically adjust the light source intensity to optimize the photosynthetic activity of plants, effectively improves the real-time monitoring and environmental response ability of the plant growth state, and enhances the intelligent management and risk warning functions of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 It is a schematic diagram of the system module of the present invention; Figure 2 It is a schematic diagram of the monochromatic reflection spectrum of the present invention; Figure 3 It is a schematic diagram of the logical flow of a modular combinable plant ornamental and growth control system of the present invention; Figure 4 It is a schematic diagram of the logical flow of the method for identifying and prioritizing plant fluorescence focusing regions based on multi-channel imaging spectroscopy of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0025] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative work shall fall within the protection scope of the present invention.

[0026] In the description of the present invention, it should be understood that the terms "opening", "upper", "lower", "thickness", "top", "middle", "length", "inner", "perimeter", etc. indicating the orientation or positional relationship are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the components or elements referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation to the present invention.

[0027] Please refer to Figure 1, an embodiment of the present invention provides a technical solution: a modular combinable plant viewing and growth control system, including a growth deviation evaluation module, which is used to collect the environmental data of the plants planted in the airtight transparent viewing container and analyze it to obtain the growth deviation factor of the planted plants, and adjust the fluid circuit of the airtight transparent viewing container according to the growth deviation factor of the planted plants.

[0028] A fluorescence focusing characterization module, which is used to divide the airtight transparent viewing container into several sub-regions, collect the leaf surface reflection spectrum in each sub-region of the airtight transparent viewing container to generate a growth activity distribution map of the planted plants, combine the growth deviation factor of the planted plants to obtain the fluorescence imaging focusing characterization value of the planted plants in each sub-region of the airtight transparent viewing container, screen to obtain each fluorescence imaging focusing region, and obtain the visual interface priority of each fluorescence imaging focusing region.

[0029] A light efficiency analysis and regulation module, which is used to divide the plants in each fluorescence imaging focusing region to obtain various plant clusters in each fluorescence imaging focusing region, collect and analyze the fluorescence imaging measurement parameters of various plant clusters in each fluorescence imaging focusing region to obtain the light efficiency index of each fluorescence imaging focusing region, adjust the light source of each fluorescence imaging focusing region, and give an early warning to the airtight transparent viewing container.

[0030] It should be noted that the specific process of generating the growth activity distribution map of the planted plants is to simultaneously capture the reflection images of the leaves in the visible light and near-infrared bands by a multi-band camera installed in front of the wall surface, use the camera to capture the reflection brightness of the same leaf under two or more specific color lights respectively, and then uniformly convert them into a numerical value according to a preset certain proportional relationship; then, the system maps these numerical values onto a two-dimensional plane, where different numerical values correspond to different shades of color, forming an activity distribution map covering the entire decorative wall, so that the high-activity areas show bright tones while the low-activity areas are marked with dark color blocks. During the whole process, the shutter, filter switching and image acquisition of the camera are completed at the same moment to ensure that there is no time difference in the images of each band; the numerical value is converted into a color gradient through the built-in color mapping template and superimposed on the three-dimensional model of the decorative wall to provide a visual basis for subsequent precise adjustment. The whole process is smooth and seamless, ensuring both the synchronization of information collection and the timely presentation of the health status distribution of plants in different positions.

[0031] Specifically, the specific process of obtaining the growth deviation factor of the planted plants is as follows: extract the environmental data of the plants planted in the airtight transparent viewing container, including air temperature, relative humidity, carbon dioxide concentration, photosynthetically active radiation intensity, and light duration.

[0032] It should be noted that the air temperature and relative humidity inside the airtight transparent ornamental container are usually obtained through real-time monitoring by high-precision temperature and humidity sensors, the carbon dioxide concentration is measured by a dedicated carbon dioxide sensor, and the photosynthetically active radiation intensity and light duration are collected by light sensors and radiometers.

[0033] The air temperature is compared with the optimal growth air temperature, the relative humidity with the optimal growth humidity, the carbon dioxide concentration with the optimal growth carbon dioxide concentration, the photosynthetically active radiation intensity with the optimal growth photosynthetically active radiation intensity, and the light duration with the optimal growth light duration. A proportion analysis is carried out for each pair and a weight coefficient is introduced to obtain the growth deviation factor of the planted plants. The growth deviation factor of the planted plants is used to evaluate the degree of deviation of the current environmental conditions inside the airtight transparent ornamental container from the ideal growth state conditions.

[0034] It should be noted that the specific analysis conditions for the growth deviation factor of the planted plants are as follows: ; ; In the formula, represents the growth deviation factor of the planted plants, represents the air temperature, represents the optimal growth air temperature set in the database, represents the relative humidity, represents the optimal growth humidity set in the database, represents the carbon dioxide concentration, represents the optimal growth carbon dioxide concentration set in the database, represents the second growth deviation factor of the planted plants, represents the weight coefficient corresponding to the air temperature set in the database, represents the weight coefficient corresponding to the relative humidity set in the database, represents the weight coefficient corresponding to the carbon dioxide concentration set in the database, represents the weight coefficient corresponding to the second growth deviation factor of the planted plants set in the database, represents the photosynthetically active radiation intensity, represents the optimal growth photosynthetically active radiation intensity set in the database, represents the light duration, represents the optimal growth light duration set in the database, represents the weight coefficient corresponding to the photosynthetically active radiation intensity set in the database, represents the weight coefficient corresponding to the light duration set in the database.

[0035] It should be noted that in the plant growth control system, there is also a close coupling relationship between air temperature, relative humidity, carbon dioxide concentration, photosynthetically active radiation intensity, and light duration, which jointly determine the photosynthetic efficiency and plant health level. First, air temperature affects relative humidity and transpiration rate: when the temperature rises, the humidity decreases at the same water vapor content, and the plant tends to increase transpiration to maintain the stomata open, thereby accelerating the absorption of water in the root zone; secondly, the degree of stomatal openness is not only restricted by temperature and humidity conditions, but also linked to carbon dioxide concentration and photosynthetically active radiation intensity: when the light intensity and carbon dioxide concentration levels increase simultaneously, the stomata are more inclined to open fully to maximize the absorption of carbon dioxide concentration, but if the air is too dry or the stomata are partially closed due to continuous long-term light, it will limit the entry of carbon dioxide and reduce the actual photosynthesis rate.

[0036] It should be noted that for most greenhouse or indoor ornamental plants, an air temperature of 20-28°C can strike a balance between photosynthesis rate and respiratory consumption. Therefore, the air temperature is most suitable in an environment of 20 to 28 degrees Celsius, and the corresponding optimal growth temperature is also in the range of 20 to 28 degrees Celsius; a relative humidity of 60%-80% can not only maintain normal ventilation of leaf stomata, but also effectively reduce the risk of pests and diseases, so the corresponding optimal growth humidity is also set in this range; the carbon dioxide concentration is generally maintained at around 800 to 1,200 ppm, which can greatly improve the photosynthetic carbon fixation efficiency, so the optimal growth carbon dioxide concentration range is also 800 to 1,200 ppm; the photosynthetically active radiation intensity is commonly found in the range of 200 to 800 micromoles per square meter per second, which can meet the light saturation point requirements of most ornamental green plants while avoiding light damage, so the optimal growth photosynthetically active radiation intensity is also set in this section; the daily light duration can be set to twelve to sixteen hours, which can not only meet the daylight accumulation, but also retain enough dark period to complete respiration and metabolism, so the corresponding optimal light duration can be set to about twelve to sixteen hours.

[0037] It should be noted that the weight coefficients corresponding to air temperature, relative humidity, carbon dioxide concentration, the second growth deviation factor of the planted plants, photosynthetically active radiation intensity, light duration, and nutrient solution flow rate are all stored in the database and their value ranges are usually set between 0 and 1. For example, by separately constructing mapping tables between air temperature, relative humidity, carbon dioxide concentration, photosynthetically active radiation intensity, light duration, and the second growth deviation factor of the planted plants and the weight coefficients, the real-time detected air temperature, relative humidity, carbon dioxide concentration, photosynthetically active radiation intensity, light duration, and the second growth deviation factor of the planted plants are respectively input and transmitted to the corresponding mapping relation tables in the database, so as to quickly obtain the weight coefficients corresponding to air temperature, relative humidity, carbon dioxide concentration, photosynthetically active radiation intensity, light duration, and the second growth deviation factor of the planted plants respectively.

[0038] Specifically, the fluid circuit of the sealed transparent ornamental container is adjusted. The specific process is as follows: extract the growth deviation factor of the planted plants, compare and match it with the nutrient solution flow rate increments corresponding to each interval of the preset growth deviation factor of the planted plants in the database to obtain the nutrient solution flow rate increment of the planted plants, and adjust the nutrient solution flow rate in the fluid circuit of the sealed transparent ornamental container according to the nutrient solution flow rate increment of the planted plants.

[0039] It should be noted that the specific process of adjusting the nutrient solution flow rate in the fluid circuit of the sealed transparent ornamental container is as follows: add the original nutrient solution flow rate in the fluid circuit of the sealed transparent ornamental container to the nutrient solution flow rate increment of the planted plants to obtain the target nutrient solution flow rate of the sealed transparent ornamental container, send the set parameters of the pump circuit of the sealed transparent ornamental container to the control board at one time through the digital valve and pulse drive, and make the original nutrient solution flow rate in the fluid circuit of the sealed transparent ornamental container reach the target nutrient solution flow rate, providing a new physiological state basis for the subsequent threshold screening, focusing area priority ranking, and light efficiency index evaluation in the sub-region, and finally supporting the precise triggering of the light source adjustment and warning logic.

[0040] Specifically, the fluorescence imaging focusing characterization values of the planted plants in each sub-region of the sealed transparent ornamental container are obtained. The specific process is as follows: collect the ratio of the reflection intensities of the leaves in each sub-region of the sealed transparent ornamental container to near-infrared light and red light and the absolute average value of the total band reflection intensity through a multi-channel imaging spectrometer.

[0041] The ratio of the reflection intensity of the leaves in each airtight transparent ornamental container sub-region for near-infrared light to red light and the reference ratio of the reflection intensity of near-infrared light to red light, and the absolute average value of the total band reflection intensity and the reference absolute average value of the total band reflection intensity are respectively subjected to proportion analysis, and a weight coefficient and a growth deviation factor of the planted plants are introduced to obtain the fluorescence imaging focusing characterization value of the planted plants in each airtight transparent ornamental container sub-region. The fluorescence imaging focusing characterization value of the planted plants in each airtight transparent ornamental container sub-region is used to evaluate and quantify the local abnormal degree of each airtight transparent ornamental container sub-region relative to the ideal photosynthetic state.

[0042] It should be noted that the ratio of the reflection intensity of the leaves for near-infrared light to red light is obtained by synchronously collecting the reflection intensity data of each leaf surface through a multi-channel imaging spectrometer or a multi-band sensor set in each sub-region. The reflection intensity of each pixel point corresponds to light of different bands. For example, the red light band usually refers to around 660 nanometers, and the near-infrared light refers to between 750 and 800 nanometers. After the system extracts the reflection intensities of these two bands respectively and performs a ratio calculation, the reflection ratio of near-infrared light to red light is obtained. This ratio is usually used to reflect the chlorophyll content level and photosynthetic capacity state of the leaves; the absolute average value of the total band reflection intensity refers to the average value of the overall reflection level obtained by adding up the reflection intensity values collected for each 10-nanometer channel from 400 nanometers to 800 nanometers, for example, and then dividing by the number of bands.

[0043] It should be noted that the fluorescence imaging focusing characterization value of the planted plants in each airtight transparent ornamental container sub-region has the following specific analysis conditions: ; In the formula, represents the fluorescence imaging focusing characterization value of the planted plants in the i-th airtight transparent ornamental container sub-region, represents the ratio of the reflection intensity of the leaves in the i-th airtight transparent ornamental container sub-region for near-infrared light to red light, represents the reference ratio of the reflection intensity of near-infrared light to red light set in the database, represents the absolute average value of the total band reflection intensity of the leaves in the i-th airtight transparent ornamental container sub-region, represents the reference absolute average value of the total band reflection intensity set in the database, represents the growth deviation factor of the planted plants, represents the weight coefficient corresponding to the ratio of the reflection intensity of the leaves for near-infrared light to red light set in the database, represents the weight coefficient corresponding to the absolute average value of the total band reflection intensity set in the database, represents the weight coefficient corresponding to the growth deviation factor of the planted plants set in the database, and \(i\) represents each sub-region of the airtight transparent ornamental container. , and \(n\) is the total number of sub-regions of the airtight transparent ornamental container.

[0044] It should be noted that in plant viewing and growth monitoring, the ratio of the reflection intensity of near-infrared light to red light by the leaves, the absolute average value of the overall band reflection intensity, and the growth deviation factor do not exist in isolation, but interact with each other and jointly reflect the health and stress state of the plants. First, when the chlorophyll content is sufficient and the photosynthetic activity is normal, the reflection of the leaves to near-infrared light is significantly higher than that to red light, so the reflection ratio shows a relatively high level. At the same time, due to the uniform distribution of the leaf structure and pigments, the average reflection value of the overall band will be maintained in an intermediate range that is neither too low to cause excessive absorption nor too high to cause excessive reflection; in this ideal state, the growth deviation factor is usually extremely small, indicating that the environmental conditions are highly consistent with the model expectations. However, once the environment is stressed by factors such as dryness, high temperature, or nutrient imbalance, plants often reduce chlorophyll synthesis or change the leaf surface structure to reduce the risk of transpiration and light damage, which will cause the reflection ratio of near-infrared and red light to drop rapidly, so the average reflection value of the same band may increase as a whole.

[0045] It should be noted that for the leaves of most ornamental plants, the reflectivity of healthy leaves to near-infrared light is usually significantly higher than that to red light. Therefore, in spectral imaging, the ratio of the reflection intensity of near-infrared light to red light generally lies in the range of 3:1 to 8:1; the reference ratio of the red light reflection intensity can be set at about 5:1 according to the variety characteristics and growth stages to serve as the baseline for the ideal healthy state. Similarly, the average reflection intensity of the leaves in the full band from visible light to near-infrared mostly falls within the range of 20% to 40%. This absolute average value reflects the overall light energy absorption efficiency of the leaves; the corresponding reference absolute average reflection value is often set at about 30%, which can represent the reflection baseline level of the leaves under ideal growth conditions.

[0046] It should be noted that the weight coefficients corresponding to the ratio of the reflection intensities of the leaves to near-infrared light and red light, the weight coefficients corresponding to the absolute average value of the total band reflection intensity, and the weight coefficients corresponding to the growth deviation factor of the planted plants are stored in the database, and their value ranges are usually set between 0 and 1. For example, by separately constructing mapping tables between the ratio of the reflection intensities of the leaves to near-infrared light and red light, the absolute average value of the total band reflection intensity, the growth deviation factor of the planted plants, and the weight coefficients, the ratio of the reflection intensities of the leaves to near-infrared light and red light, the absolute average value of the total band reflection intensity, and the growth deviation factor of the planted plants detected in real time are respectively input and transmitted to the corresponding mapping relation tables in the database, so as to quickly obtain the weight coefficients corresponding to the ratio of the reflection intensities of the leaves to near-infrared light and red light, the weight coefficients corresponding to the absolute average value of the total band reflection intensity, and the weight coefficients corresponding to the growth deviation factor of the planted plants.

[0047] Specifically, to screen out each fluorescence imaging focused area, the specific process is as follows: extract the fluorescence imaging focus characterization values of the planted plants in each sub-region of the sealed transparent ornamental container, and compare them with the fluorescence imaging focus characterization threshold set in the database. If the fluorescence imaging focus characterization value of the planted plants in a certain sub-region of the sealed transparent ornamental container is higher than or equal to the fluorescence imaging focus characterization threshold of the planted plants, then mark this sub-region of the sealed transparent ornamental container as a fluorescence imaging focused area. If the fluorescence imaging focus characterization value of the planted plants in a certain sub-region of the sealed transparent ornamental container is lower than the fluorescence imaging focus characterization threshold of the planted plants, then there is no need to mark this sub-region of the sealed transparent ornamental container as a fluorescence imaging focused area, and thus each fluorescence imaging focused area is obtained.

[0048] Specifically, to obtain the visual interface priorities of each fluorescence imaging focused area, the specific process is as follows: extract the fluorescence imaging focus characterization values of the planted plants in each fluorescence imaging focused area and sort them from small to large, and match the visual interface priorities of each fluorescence imaging focused area according to the sorting of the fluorescence imaging focus characterization values of the planted plants in each fluorescence imaging focused area.

[0049] It should be noted that the status indicators and priority distributions of each area are displayed in real time through the graphical user interface or the mobile App. Users can flexibly combine multiple high-priority areas on the interface through interactive methods such as panning, zooming, or dragging to form the best viewing layout.

[0050] It should be noted that the specific process of obtaining the visual interface priority of each fluorescence imaging focused area by sorting and matching the fluorescence imaging focused characterization values of the planted plants in each fluorescence imaging focused area is as follows: Use the sorting results to assign priority labels to each focused area. For example, the areas with the top 25% of the characterization values are marked as "primary focus", and the recommended display is generated for display in the main visual area; the middle 50% are classified as "secondary focus", and the recommended display is generated and configured in the auxiliary visual area; while the last 25% are labeled as "low priority", and the recommended display suggests arranging this sub-area at the wall edge, occlusion area or background cultivation area, or waiting for intervention and repair before re-mounting on the wall. Place the modules with the lowest fluorescence imaging focused characterization values, that is, the relatively healthy and beautiful modules, in the center of the wall and the focus of the line of sight to ensure the best viewing effect. This not only ensures the high efficiency of system operation and maintenance, but also does not affect the harmonious beauty presented by the decorative wall to the audience. By subsequently concentrating the limited imaging, computing and regulation resources of the system on the areas with higher priorities, it is possible to carry out refined grouping and parameter tracking of the most critical modules on the premise of ensuring the overall viewing effect, significantly improving the monitoring and regulation efficiency.

[0051] Specifically, to obtain the planted plant clusters in each fluorescence imaging focused area, the specific process is as follows: Obtain the fluorescence imaging image data of each fluorescence imaging focused area, and through image segmentation technology, divide the multiple plants in the fluorescence imaging focused area into several plant clusters, thereby obtaining the planted plant clusters in each fluorescence imaging focused area.

[0052] It should be noted that the fluorescence imaging image data mainly includes three key frames: the minimum fluorescence intensity map measured with extremely low excitation light after dark adaptation, the maximum fluorescence intensity map measured with a strong saturation pulse light subsequently, and the steady-state fluorescence map under natural light conditions.

[0053] It should be noted that the specific process of obtaining various plant clusters in each fluorescent imaging focal area is as follows: in the multispectral imaging stage, the system first synchronously shoots multiple bands from visible light to near-infrared for all plant leaves on the decorative wall, and processes the reflection intensity of each band into an intuitive activity distribution map, in which the brightness and color depth represent the photosynthetic activity of the leaves. Next, on this distribution map, the system uses advanced image segmentation algorithms to automatically detect and depict the outer contour of each leaf, and then calculates the NDVI (Normalized Difference Vegetation Index, which determines the health of the leaves by comparing the reflectance difference between the near-infrared band and the red light band, reflecting the amount of chlorophyll) and PRI (Photochemical Reflectance Index, a numerical value used to reflect the photosynthetic protection mechanism and the stress state of the leaves) in each contour area, and differentiates these values from the global average value of the entire decorative wall to obtain the deviation of each leaf; the NDVI and PRI deviation of each leaf is used as a two-dimensional feature vector and input into the clustering algorithm. There is no need to predetermine the number of groups, and the similarity calculation within the algorithm can automatically divide leaves with similar deviations into the same subset to form several clustered leaf subsets. After completing the deviation clustering with leaves as the basic unit and obtaining several clustered leaf subsets, these leaf clusters are further organized into plant clusters to facilitate overall fluorescence parameter analysis and regulation of the same plant. First, relying on the spatial registration of fluorescence imaging or multispectral panoramic images, a three-dimensional or two-dimensional plane model of the plant wall is generated, in which the contour mask of each leaf is clearly mapped in the coordinate system of the container wall. Then, the system uses connected domain analysis to connect those leaf clusters that have spatial adjacent relationships on the image plane and belong to the same plant within the root and stem projection range. Specifically, the entire image is first semantically segmented to separate the main contours and branch connection areas of each plant, and then the centroid position and bounding box of each clustered leaf cluster are calculated, and it is determined whether they overlap or are adjacent to the trunk or petiole of a certain plant. Specifically, the centroid of each leaf cluster is calculated in three-dimensional space, and the shortest Euclidean distance from the centroid to the nearest stem skeleton point is measured. If the distance is less than the preset threshold in the database (usually equivalent to the average petiole length or leaf scale of the plant), the leaf cluster is determined to be spatially connected or adjacent to the trunk of the plant; otherwise, it is considered to belong to different plants or different root units. If the spatial centroid of a leaf cluster falls within the projection range of the same root stem, or the shortest distance between adjacent leaf clusters is below the preset threshold, the system will merge them into the same plant cluster. Ultimately, multiple plant clusters will be obtained in each fluorescent imaging focal area, and each cluster represents a whole plant or a community of the same root system in the area.

[0054] like Figure 2 As shown, Figure 2It is a schematic diagram of monochromatic reflection spectrum. After multi-band images are captured, the reflection spectra of different sub-regions are analyzed and decoded. After the system acquires images of each band, it generates a monochromatic spectral reflection curve based on the pixel reflectivity of each sub-region, and uses the changes in reflectivity at specific bands (such as red light and near-infrared) to obtain indicators such as NDVI and PRI, so as to judge the photosynthetic activity and stress state of the leaves. Here, the horizontal axis is the wavelength (400–800 nanometers), and the vertical axis is the reflectivity of the corresponding band. The curve peaks appear on both sides of the chlorophyll absorption valley (near about 550 nanometers), showing typical reflection characteristics, demonstrating the reflection intensity distribution of the leaves in each band from visible light to near-infrared, for the system to extract near-infrared in each sub-region, visually identify the spectral distribution and the positions of abnormal peaks and valleys, and help subsequent multi-region comparison and anomaly detection.

[0055] Specifically, the light efficiency index of each fluorescence imaging focus area is obtained. The specific process is as follows: Extract the fluorescence imaging measurement parameters of various planted plant clusters in each fluorescence imaging focus area, including the maximum photochemical efficiency, minimum fluorescence intensity, and maximum fluorescence intensity of the target leaves.

[0056] It should be noted that the minimum fluorescence intensity of the target leaf is obtained by placing the plant in a dark room for several minutes to completely close the photosystem reaction center, then irradiating the leaf surface with a very low-intensity detection light source, and recording the baseline fluorescence emitted by chlorophyll molecules when not participating in the photochemical reaction at this time; subsequently, to obtain the maximum fluorescence intensity, the system applies a short and strong saturation light pulse to the same dark-adapted leaf, causing all reaction centers to close instantly, blocking the photochemical energy conversion, forcing the excitation energy to be released entirely in the form of fluorescence, and recording this peak value; while the maximum photochemical efficiency of the leaf is reflected by comparing the ratio of the difference between these two measurement results to the maximum fluorescence value, which indirectly characterizes the energy conversion ability of the photosystem under dark adaptation conditions, and this ratio indirectly represents the potential of the leaf to efficiently use the absorbed light energy for chemical reactions in the non-saturated state.

[0057] Perform ratio analysis on the maximum photochemical efficiency of the target leaf and the reference maximum photochemical efficiency of the target leaf, the minimum fluorescence intensity and the defined minimum fluorescence intensity, and the maximum fluorescence intensity and the reference maximum fluorescence intensity respectively, and introduce the weight coefficient and the fluorescence imaging focus characterization value of the planted plants in each fluorescence imaging focus area to obtain the light efficiency index of each fluorescence imaging focus area. The light efficiency index of each fluorescence imaging focus area is used to evaluate the overall activity degree of the plants under the current light conditions.

[0058] It should be noted that the fluorescence imaging focus characterization value of the planted plants in each sub-region of each airtight transparent ornamental container includes the fluorescence imaging focus characterization value of the planted plants in each fluorescence imaging focus area.

[0059] It should be noted that the light efficiency index of each fluorescence imaging focus area, the specific analysis conditions are: ; In the formula, represents the light efficiency index of the k-th fluorescence imaging focused area, represents the maximum photochemical efficiency of the target leaf of the j-th planted plant cluster in the k-th fluorescence imaging focused area, represents the reference maximum photochemical efficiency of the target leaf set in the database, represents the minimum fluorescence intensity of the target leaf of the j-th planted plant cluster in the k-th fluorescence imaging focused area, represents the defined minimum fluorescence intensity set in the database, represents the maximum fluorescence intensity of the target leaf of the j-th planted plant cluster in the k-th fluorescence imaging focused area, represents the reference maximum fluorescence intensity set in the database, represents the fluorescence imaging focus characterization value of the planted plants in the k-th fluorescence imaging focused area, represents the weight coefficient corresponding to the maximum photochemical efficiency set in the database, represents the weight coefficient corresponding to the minimum fluorescence intensity set in the database, represents the weight coefficient corresponding to the maximum fluorescence intensity set in the database, represents the weight coefficient corresponding to the fluorescence imaging focus characterization value set in the database, j represents each planted plant cluster, , m is the total number of planted plant clusters, k represents each fluorescence imaging focused area, , b is the total number of fluorescence imaging focused areas.

[0060] It should be noted that the maximum photochemical efficiency, minimum fluorescence intensity, maximum fluorescence intensity, and regional-level focus characterization value are not isolated indicators. For example, first, when the photosystem function is intact and the photosynthetic activity is strong, the potential maximum photochemical efficiency of the leaf will remain at a relatively high level. At this time, the minimum fluorescence intensity is low and the maximum fluorescence intensity is high, indicating that the opening and closing conversion of the reaction center is normal and the electron transfer is smooth. At the same time, the characterization value of the entire focused area will also be maintained in a lower range, meaning that there is no obvious risk of light damage or photoinhibition in this area. However, when environmental stress occurs, the photosynthetic mechanism is first reflected in the leaf - the potential maximum photochemical efficiency begins to decline, reflecting the decline in the system's chemical energy conversion efficiency; while the minimum fluorescence intensity increases instead, which indicates that the reaction center has been abnormally closed or damaged under dark adaptation conditions; the maximum fluorescence intensity shows a significant decrease, indicating that chlorophyll cannot fully accumulate excitation energy.

[0061] It should be noted that for most ornamental plant leaves, the potential maximum photochemical efficiency is usually maintained between 0.78 and 0.85, and the maximum theoretical efficiency of converting light energy into chemical energy is capped at the highest energy conversion efficiency under dark adaptation. Therefore, the reference maximum photochemical efficiency of the target leaves can be set at around 0.83 as an ideal baseline. The minimum fluorescence intensity measured under completely dark adaptation conditions is generally between 100 and 300, representing the baseline fluorescence level when the reaction center is fully open. The corresponding reference value for the defined minimum fluorescence intensity can be around 200. A value below 100 may indicate damage to antenna pigments, such as blocked chlorophyll synthesis, and a value above 300 may indicate possible inactivation of the reaction center. When saturated pulse light is applied, the maximum fluorescence intensity is mostly between 800 and 1200, indicating the peak fluorescence when all reaction centers are closed, and the reference maximum fluorescence intensity can be set at around 1000.

[0062] It should be noted that the weight coefficient corresponding to the maximum photochemical efficiency, the weight coefficient corresponding to the minimum fluorescence intensity, the weight coefficient corresponding to the maximum fluorescence intensity, and the weight coefficient corresponding to the fluorescence imaging focus characterization value are all stored in the database, and the value range is usually set between 0 and 1. For example, by constructing mapping tables between the maximum photochemical efficiency, the minimum fluorescence intensity, the maximum fluorescence intensity, and the fluorescence imaging focus characterization value and the weight coefficients, the real-time detected maximum photochemical efficiency, the minimum fluorescence intensity, the maximum fluorescence intensity, and the fluorescence imaging focus characterization value are respectively input and transmitted to the corresponding mapping relationship table in the database, so as to quickly obtain the weight coefficient corresponding to the maximum photochemical efficiency, the weight coefficient corresponding to the minimum fluorescence intensity, the weight coefficient corresponding to the maximum fluorescence intensity, and the weight coefficient corresponding to the fluorescence imaging focus characterization value.

[0063] Specifically, the light source of each fluorescent imaging focal area is adjusted, and the specific process is: extracting the light efficiency index of each fluorescent imaging focal area, and comparing it with the light efficiency index threshold of the fluorescent imaging focal area preset in the database; if the light efficiency index of a fluorescent imaging focal area is lower than the light efficiency index threshold of the fluorescent imaging focal area, the light source of the fluorescent imaging focal area is adjusted; if the light efficiency index of a fluorescent imaging focal area is higher than or equal to the light efficiency index threshold of the fluorescent imaging focal area, there is no need to adjust the light source of the fluorescent imaging focal area.

[0064] It should be noted that the specific process of adjusting the light source in the fluorescence imaging focusing area is as follows: The main control unit triggers the light source adjustment mechanism to lower the excessive light intensity and shorten the irradiation period. The reduction amplitude of the light intensity is dynamically calculated according to the deviation degree between the actual light efficiency and the threshold. For example, when it is detected that the light efficiency in a certain area is about 10% to 20% lower than the threshold, the system will preferentially reduce the output power of the LED light source in this area by about 5% to 10% to avoid light inhibition or energy waste caused by excessive light. If the efficiency deviation further intensifies, exceeding about 20% or even reaching 30%, the system may take more significant adjustment actions to reduce the light intensity by 15% to 20%. However, to prevent secondary stress caused by insufficient light energy, a protection upper limit of no more than 25% for the maximum single adjustment is generally set. In terms of the irradiation period, the system also adopts a deviation-driven strategy to adjust the total daily lighting duration. The specific method is to take the total duration of the current sunshine period as the benchmark and dynamically decrease it in combination with the efficiency deviation ratio. For example, if the efficiency drops by more than 15%, the system will shorten the lighting duration in the next period by about 5%, with a maximum of no more than 15% of the total period, so as not to affect the photoperiod rhythm.

[0065] Specifically, for the airtight transparent ornamental container, the early warning process is as follows: Preset several monitoring periods. In each monitoring period, extract the light efficiency index of each fluorescence imaging focusing area, and count the number of periods in each monitoring period when the light efficiency index of each fluorescence imaging focusing area is lower than the preset light efficiency index threshold, which is recorded as the number of light efficiency insufficient periods. If the number of light efficiency insufficient periods is higher than or equal to the light efficiency insufficient period number threshold preset in the database, an early warning will be issued for the airtight transparent ornamental container. If the number of light efficiency insufficient periods is lower than the preset light efficiency insufficient period number threshold, there is no need to issue an early warning for the airtight transparent ornamental container.

[0066] It should be noted that the early warning for the airtight transparent ornamental container includes the control center sending real-time alarm information to the operation and maintenance personnel or the management platform, the content covering the location of the affected area and the current light efficiency index. The adjustment is mainly achieved by adjusting the nutrient solution flow rate and light source parameters in the airtight transparent ornamental container, optimizing the growth environment of the plants, and improving the light efficiency index of each fluorescence imaging focusing area, so as to promote the plant health and the photosynthesis efficiency. The early warning mechanism is based on the monitoring data of the light efficiency index, continuously tracking the physiological state changes of each focusing area. When the light efficiency index of a certain area continuously drops below the preset threshold in multiple monitoring cycles, the system issues an early warning, indicating that there may be growth abnormalities or environmental problems and timely intervention is required. The adjustment measures aim to prevent or improve the problem of light efficiency decline by actively optimizing the environmental conditions and maintaining plant health; while the early warning function serves as a passive monitoring and feedback mechanism to help identify whether the adjustment effect meets the standards, timely discover and locate abnormal areas, and achieve dynamic closed-loop management. Through the organic combination of adjustment and early warning, the system not only ensures the continuous optimization of the planting environment, but also can quickly respond to potential risks, ensuring the stable growth and good ornamental effect of the ornamental plants.

[0067] As Figure 3 shown, Figure 3 Figure 1 is a schematic logical flow diagram of a modular combinable plant ornamental and growth control system. Through the modular process, it realizes the environmental state assessment, space subdivision and plant population focusing management, combines multi-dimensional data analysis to dynamically adjust the fluid and lighting conditions, and conducts intelligent early warning based on the light efficiency cycle statistics, achieving the precise quantification and real-time response of the plant growth state, improving the intelligent control ability and flexible scalability of the system, and being applicable to multi-scenario plant ornamental and growth control.

[0068] As Figure 4 shown, Figure 4 Figure 2 is a schematic logical flow diagram of a method for identifying and prioritizing plant fluorescence focusing areas based on multi-channel imaging spectroscopy. Through the multi-channel imaging spectroscopy technology combined with weight analysis, it accurately identifies local photosynthetic abnormal areas, and the dynamic identification of abnormal states and the priority ranking function of the visual interface greatly improve the pertinence and intelligent level of plant growth monitoring, contributing to achieving precise management and efficient response.

[0069] Those skilled in the art should understand that the embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present invention can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk memories, CD-ROMs, optical memories, etc.) containing computer-usable program codes.

[0070] The present invention is described with reference to the flowcharts and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It should be understood that each flow and / or block in the flowchart and / or block diagram, and combinations of flows and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing device to produce a machine, such that the instructions executed by the processor of the computer or other programmable data processing device generate means for implementing the functions specified in one flow Figure 1 one flow or multiple flows and / or blocks Figure 1 or multiple blocks.

[0071] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, such that the instructions stored in the computer-readable memory produce a manufacture including instruction means that implement the functions specified in one flow Figure 1 one flow or multiple flows and / or blocks Figure 1 or multiple blocks.

[0072] These computer program instructions can also be loaded onto a computer or other programmable data processing device, such that a series of operation steps are executed on the computer or other programmable device to produce a computer-implemented process, and thus the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in one flow Figure 1 one flow or multiple flows and / or blocks Figure 1 or multiple blocks.

[0073] Although the preferred embodiments of the present invention have been described, those skilled in the art can make additional changes and modifications once they learn the basic creative concepts. Therefore, the appended claims are intended to be construed to include the preferred embodiments as well as all changes and modifications that fall within the scope of the present invention.

[0074] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalent technologies, the present invention is also intended to include these changes and modifications.

Claims

1. A modular and combinable plant viewing and growth control system, characterized in that, Including: A growth deviation evaluation module, which is used to collect and analyze the environmental data of the planted plants in the airtight transparent ornamental container, obtain the growth deviation factor of the planted plants, and adjust the fluid circuit of the airtight transparent ornamental container according to the growth deviation factor of the planted plants; A fluorescence focusing characterization module, which is used to divide the airtight transparent ornamental container into several sub-regions, collect the leaf surface reflection spectrum in each sub-region of the airtight transparent ornamental container to generate a growth activity distribution map of the planted plants, combine the growth deviation factor of the planted plants to obtain the fluorescence imaging focusing characterization value of the planted plants in each sub-region of the airtight transparent ornamental container, screen to obtain each fluorescence imaging focusing region, and obtain the visual interface priority of each fluorescence imaging focusing region; A light efficiency analysis and regulation module, which is used to divide the planted plants in each fluorescence imaging focusing region to obtain various planted plant clusters in each fluorescence imaging focusing region, collect and analyze the fluorescence imaging measurement parameters of various planted plant clusters in each fluorescence imaging focusing region, obtain the light efficiency index of each fluorescence imaging focusing region, adjust the light source of each fluorescence imaging focusing region, and give an early warning to the airtight transparent ornamental container.

2. The modular combinable plant viewing and growth control system according to claim 1, characterized in that: The specific process of obtaining the growth deviation factor of the planted plants is as follows: Extract the environmental data of the planted plants in the airtight transparent ornamental container, including air temperature, relative humidity, carbon dioxide concentration, photosynthetically active radiation intensity, and light duration; Perform ratio analysis on air temperature and optimal growth air temperature, relative humidity and optimal growth humidity, carbon dioxide concentration and optimal growth carbon dioxide concentration, photosynthetically active radiation intensity and optimal growth photosynthetically active radiation intensity, and light duration and optimal growth light duration respectively, and introduce a weight coefficient to obtain the growth deviation factor of the planted plants. The growth deviation factor of the planted plants is used to evaluate the deviation degree of the current environmental conditions in the airtight transparent ornamental container relative to the ideal growth state conditions.

3. The modular combinable plant viewing and growth control system according to claim 2, wherein: The specific process of adjusting the fluid circuit of the airtight transparent ornamental container is as follows: Extract the growth deviation factor of the planted plants, compare and match it with the nutrient solution flow rate increment corresponding to each interval of the preset growth deviation factor of the planted plants to obtain the nutrient solution flow rate increment of the planted plants, and adjust the nutrient solution flow rate in the fluid circuit of the airtight transparent ornamental container according to the nutrient solution flow rate increment of the planted plants.

4. The modular combinable plant viewing and growth control system according to claim 1, characterized in that: The specific process of obtaining the fluorescence imaging focusing characterization value of the planted plants in each sub-region of the airtight transparent ornamental container is as follows: Collect the ratio of the reflection intensity of the leaves in each sub-region of the airtight transparent ornamental container to near-infrared light and red light, and the absolute average value of the total band reflection intensity through a multi-channel imaging spectrometer; The ratio of the reflection intensity of the leaves in each sealed transparent ornamental container sub-region to near-infrared light and red light is respectively analyzed for proportion with the reference ratio of the reflection intensity of near-infrared light and red light, and the absolute average value of the total band reflection intensity is respectively analyzed for proportion with the reference absolute average value of the total band reflection intensity. A weight coefficient and a growth deviation factor of the planted plants are introduced to obtain the fluorescence imaging focusing characterization value of the planted plants in each sealed transparent ornamental container sub-region. The fluorescence imaging focusing characterization value of the planted plants in each sealed transparent ornamental container sub-region is used to evaluate and quantify the local abnormal degree of each sealed transparent ornamental container sub-region relative to the ideal photosynthetic state.

5. The modular combinable plant viewing and growth control system according to claim 4, characterized in that: The specific process of screening to obtain each fluorescence imaging focusing region is as follows: Extract the fluorescence imaging focusing characterization value of the planted plants in each sealed transparent ornamental container sub-region and compare it with the fluorescence imaging focusing characterization threshold of the planted plants set in the database. If the fluorescence imaging focusing characterization value of the planted plants in a certain sealed transparent ornamental container sub-region is higher than or equal to the fluorescence imaging focusing characterization threshold of the planted plants, then mark this sealed transparent ornamental container sub-region as a fluorescence imaging focusing region. If the fluorescence imaging focusing characterization value of the planted plants in a certain sealed transparent ornamental container sub-region is lower than the fluorescence imaging focusing characterization threshold of the planted plants, then there is no need to mark this sealed transparent ornamental container sub-region as a fluorescence imaging focusing region. Thus, each fluorescence imaging focusing region is obtained.

6. The modular combinable plant viewing and growth control system according to claim 4, characterized in that: The specific process of obtaining the visual interface priority of each fluorescence imaging focusing region is as follows: Extract the fluorescence imaging focusing characterization values of the planted plants in each fluorescence imaging focusing region and sort them from small to large. The visual interface priority of each fluorescence imaging focusing region is obtained according to the sorting of the fluorescence imaging focusing characterization values of the planted plants in each fluorescence imaging focusing region.

7. The modular combinable plant viewing and growth control system according to claim 1, characterized in that: The specific process of obtaining each planted plant cluster in each fluorescence imaging focusing region is as follows: Obtain the fluorescence imaging image data of each fluorescence imaging focusing region. Through image segmentation technology, multiple plants in the fluorescence imaging focusing region are divided into several plant clusters. Thus, each planted plant cluster in each fluorescence imaging focusing region is obtained.

8. The modular combinable plant viewing and growth control system according to claim 1, characterized in that: The specific process of obtaining the light efficiency index of each fluorescence imaging focusing region is as follows: Extract the fluorescence imaging measurement parameters of each planted plant cluster in each fluorescence imaging focusing region, including the maximum photochemical efficiency, minimum fluorescence intensity, and maximum fluorescence intensity of the target leaf. The ratio of the maximum photochemical efficiency of the target leaf to the reference maximum photochemical efficiency of the target leaf, the minimum fluorescence intensity to the defined minimum fluorescence intensity, and the maximum fluorescence intensity to the reference maximum fluorescence intensity are respectively analyzed for proportion. A weight coefficient and the fluorescence imaging focusing characterization value of the planted plants in each fluorescence imaging focusing region are introduced to obtain the light efficiency index of each fluorescence imaging focusing region. The light efficiency index of each fluorescence imaging focusing region is used to evaluate the overall activity degree of the plants under the current light conditions.

9. The modular combinable plant viewing and growth control system according to claim 8, characterized in that: The specific process of adjusting the light source of each fluorescence imaging focusing region is as follows: Extract the light efficiency index of each fluorescence imaging focusing area, and compare it with the light efficiency index threshold of the fluorescence imaging focusing area preset in the database. If the light efficiency index of a certain fluorescence imaging focusing area is lower than the light efficiency index threshold of the fluorescence imaging focusing area, adjust the light source of this fluorescence imaging focusing area. If the light efficiency index of a certain fluorescence imaging focusing area is higher than or equal to the light efficiency index threshold of the fluorescence imaging focusing area, there is no need to adjust the light source of this fluorescence imaging focusing area.

10. The modular combinable plant viewing and growth control system according to claim 1, characterized in that: The warning for the sealed transparent ornamental container is carried out in the following specific process: Preset several monitoring cycles. In each monitoring cycle, extract the light efficiency index of each fluorescence imaging focusing area, and count the number of cycles in which the light efficiency index of each fluorescence imaging focusing area is lower than the preset light efficiency index threshold, which is recorded as the number of light efficiency insufficient cycles. If the number of light efficiency insufficient cycles is higher than or equal to the light efficiency insufficient cycle number threshold preset in the database, give a warning to the sealed transparent ornamental container. If the number of light efficiency insufficient cycles is lower than the preset light efficiency insufficient cycle number threshold, there is no need to give a warning to the sealed transparent ornamental container.

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