A modular and combinable plant viewing and growth control system

Abstract

The present invention discloses a modular, combinable plant viewing and growth control system, which relates to the field of plant growth and cultivation technology. The system first analyzes the environmental parameters within a sealed, transparent viewing container and dynamically adjusts the fluid circuit within the container accordingly, thereby optimizing gas circulation and microenvironmental distribution. Subsequently, the system screens the focused areas of fluorescent imaging to guide their display positions within decorative walls or viewing layouts. On this basis, the planted plants within each focused area are clustered, and the light source within the focused area is adjusted to achieve targeted light environment optimization. This system not only enables multi-scale, multi-dimensional data-driven decision-making, but also promotes the refinement, responsiveness, and personalization of plant growth regulation, further ensuring the stable presentation of viewing effects and the continuous optimization of plant health.

Description

Technical Field

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

[0002] The plant viewing and growth control system integrates sensing, imaging, and intelligent control technologies to achieve real-time monitoring and precise management of the plant growth environment and status within sealed, transparent viewing containers. With the increasing demand for modern urban greening and indoor gardening, this system can optimize plant growth conditions within limited spaces, enhancing their ornamental value and ecological benefits.

[0003] For example, the plant growth control method, control equipment, plant growth lamp and control system announced with announcement number CN113711798B include the following: obtaining plant growth images at different time periods; identifying and processing the plant growth images to identify the growth status of the plants; determining a growth control strategy based on the growth status; the growth control strategy includes parameter adjustment trends corresponding to plant growth factors; and adjusting preset input parameters according to the growth control strategy.

[0004] For example, announcement number CN107593141B discloses a household intelligent plant growth promotion control system, which includes a planting trough filled with soil and planted with plants, as well as a solar power supply system, an irrigation system, a lighting control system, a humidity control system, and a temperature control system.

[0005] However, in the process of implementing the technical solutions of the invention in the embodiments of the present application, the present application found that the above technology has at least the following technical problems:

[0006] It is difficult for sensors to achieve real-time and accurate monitoring of plant growth status, and they cannot meet the differentiated needs of multiple varieties. In addition, they cannot meet the needs of plants, resulting in low survival rates and waste of resources, which is not conducive to the healthy growth of plants, reduces the ornamental value and damages the operating efficiency of the system. Summary of the Invention

[0007] In view of the shortcomings of the prior art, the present invention provides a modular combinable plant viewing and growth control system that solves the problems designed in the above-mentioned background technology.

[0008] To achieve the above objectives, the present invention is implemented through the following technical solutions: a modular and combinable plant viewing and growth control system, including a growth deviation assessment module, which is used to collect and analyze environmental data of plants planted in a closed transparent viewing container, obtain the growth deviation factor of the planted plants, and adjust the fluid circuit of the closed transparent viewing container according to the growth deviation factor of the planted plants.

[0009] The fluorescence focus characterization module is used to divide the sealed transparent ornamental container into several sub-areas, collect the leaf surface reflection spectrum in each sealed transparent ornamental container sub-area 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 focus characterization value of the planted plants in each sealed transparent ornamental container sub-area, and screen out each fluorescence imaging focus area, and obtain the visual interface priority of each fluorescence imaging focus area.

[0010] The light efficiency analysis and control module is used to divide the plants in each fluorescent imaging focus area to obtain various plant clusters in each fluorescent imaging focus area, collect and analyze the fluorescence imaging measurement parameters of each plant cluster in each fluorescent imaging focus area, obtain the light efficiency index of each fluorescent imaging focus area, adjust the light source of each fluorescent imaging focus area, and issue an early warning for the sealed transparent viewing container.

[0011] Furthermore, the growth deviation factor of the planted plants is obtained. The specific process is: extracting the environmental data of the plants planted in the sealed transparent ornamental container, including air temperature, relative humidity, carbon dioxide concentration, photosynthetic active radiation intensity and light duration.

[0012] 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 are respectively analyzed in proportion 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 in the sealed transparent ornamental container from the ideal growth conditions.

[0013] Furthermore, the fluid circuit of the sealed transparent ornamental container is adjusted. The specific process is: extract the growth deviation factor of the planted plant, and compare and match it with the nutrient solution flow rate increment corresponding to each interval of the preset growth deviation factor of the planted plant to obtain the nutrient solution flow rate increment of the planted plant, 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 plant.

[0014] Furthermore, the fluorescence imaging focus characterization values of the plants planted in each sub-area of the sealed transparent ornamental container are obtained. The specific process is: the reflection intensity ratio of the leaves to near-infrared light and red light in each sub-area of the sealed transparent ornamental container and the absolute average value of the reflection intensity of the total band are collected through a multi-channel imaging spectrometer.

[0015] The ratio of the reflection intensity of near-infrared light to red light of leaves in each sub-area of the sealed transparent ornamental container and the reference ratio of the reflection intensity of near-infrared light to red light, and the absolute average value of the reflection intensity of the total band and the reference absolute average value of the reflection intensity of the total band were respectively analyzed. The weight coefficient and the growth deviation factor of the planted plants were introduced to obtain the fluorescence imaging focus representation value of the planted plants in each sub-area of the sealed transparent ornamental container. The fluorescence imaging focus representation value of the planted plants in each sub-area of the sealed transparent ornamental container is used to evaluate and quantify the degree of local abnormality of each sub-area of the sealed transparent ornamental container relative to the ideal photosynthetic state.

[0016] Furthermore, the fluorescence imaging focus areas are obtained by screening. The specific process is: the fluorescence imaging focus characterization value of the planted plants in each sealed transparent ornamental container sub-area is extracted, and compared with the fluorescence imaging focus characterization threshold of the planted plants set in the database. If the fluorescence imaging focus characterization value of the planted plants in a certain sealed transparent ornamental container sub-area is higher than or equal to the fluorescence imaging focus characterization threshold of the planted plants, then the sealed transparent ornamental container sub-area is marked as the fluorescence imaging focus area. If the fluorescence imaging focus characterization value of the planted plants in a certain sealed transparent ornamental container sub-area is lower than the fluorescence imaging focus characterization threshold of the planted plants, then there is no need to mark the sealed transparent ornamental container sub-area as the fluorescence imaging focus area, thereby obtaining various fluorescence imaging focus areas.

[0017] Furthermore, the visual interface priority of each fluorescent imaging focusing area is obtained. The specific process is: the fluorescent imaging focus characterization values of the plants planted in each fluorescent imaging focusing area are extracted and sorted from small to large, and the visual interface priority of each fluorescent imaging focusing area is obtained according to the sorting matching of the fluorescent imaging focus characterization values of the plants planted in each fluorescent imaging focusing area.

[0018] Furthermore, clusters of various plants in each fluorescence imaging focal area are obtained. The specific process is: fluorescence imaging image data of each fluorescence imaging focal area is obtained, and multiple plants in the fluorescence imaging focal area are divided into several plant clusters through image segmentation technology, thereby obtaining clusters of various plants in each fluorescence imaging focal area.

[0019] Furthermore, the light source of each fluorescence imaging focal area is adjusted. The specific process is: extracting the light efficiency index of each fluorescence imaging focal area and comparing it with the light efficiency index threshold of the fluorescence imaging focal area preset in the database; if the light efficiency index of a fluorescence imaging focal area is lower than the light efficiency index threshold of the fluorescence imaging focal area, the light source of the fluorescence imaging focal area is adjusted; if the light efficiency index of a fluorescence imaging focal area is higher than or equal to the light efficiency index threshold of the fluorescence imaging focal area, the light source of the fluorescence imaging focal area does not need to be adjusted.

[0020] Furthermore, an early warning is issued for a sealed transparent viewing container. The specific process is: a number of monitoring cycles are preset, the light efficiency index of each fluorescent imaging focal area is extracted in each monitoring cycle, and the number of cycles in which the light efficiency index of each fluorescent imaging focal area in each monitoring cycle is lower than a preset light efficiency index threshold is counted, and recorded as the number of cycles with insufficient light efficiency. If the number of cycles with insufficient light efficiency is higher than or equal to the threshold number of cycles with insufficient light efficiency preset in the database, an early warning is issued for the sealed transparent viewing container. If the number of cycles with insufficient light efficiency is lower than the threshold number of cycles with insufficient light efficiency preset in the database, there is no need to issue an early warning for the sealed transparent viewing container.

[0021] One or more technical solutions provided in the embodiments of this application have at least the following technical effects or advantages:

[0022] (1) The present invention provides a modular and combinable plant viewing and growth control system. First, the environmental parameters in a sealed transparent viewing container are collected to obtain the growth deviation factor of the plant, and the fluid circuit inside the container is dynamically adjusted accordingly, thereby optimizing the gas circulation and microenvironment distribution. Subsequently, the system divides the sealed container into several sub-areas, forms representative fluorescence imaging focus areas through screening, and further assigns visual interface priorities to these areas to guide their display positions in decorative walls or viewing layouts. On this basis, the planted plants in each focus area are clustered, and the light intensity, spectral composition and illumination timing of the light source in the area are intelligently adjusted accordingly, thereby achieving targeted light environment optimization. If abnormally low light efficiency is continuously detected, the system can also automatically issue an early warning signal to the entire container, guiding user intervention or automatically triggering an emergency mechanism. This not only realizes multi-scale and multi-dimensional data-driven decision-making, but also promotes the refinement, responsiveness and personalization of plant growth regulation, further ensuring the stable presentation of viewing effects and the continuous optimization of plant health status.

[0023] (2) The present invention can achieve real-time and accurate quantification of plant growth status by obtaining the growth deviation factor of the plant, making up for the problems of lag and insufficient precision of traditional sensor monitoring, thereby helping to promote the system's accurate monitoring and dynamic adjustment of the plant growth environment, helping to reduce resource waste and decreased plant survival rate caused by environmental fluctuations, and improving the environmental adaptability and management efficiency of the modular combinable plant viewing and growth control system, thereby helping to optimize the stability and consistency of plant growth status and viewing performance.

[0024] (3) The present invention obtains the fluorescence imaging focus characterization value of the plants planted in each sub-area of the sealed transparent viewing container, which helps to accurately locate and classify the growth status of the plants, and provides a scientific basis for local abnormality recognition and visual focus allocation for the modular combinable plant viewing and growth control system. It effectively solves the problem that the one-size-fits-all viewing layout cannot take into account multiple varieties and multiple states, and effectively improves the system's intelligence level and response efficiency in plant health monitoring, light management and viewing effect optimization.

[0025] (4) The present invention obtains the light efficiency index of each fluorescent imaging focus area to help dynamically adjust the light source intensity to optimize the photosynthetic activity of plants, effectively improving the real-time monitoring and environmental response capabilities of plant growth status, and enhancing the system's intelligent management and risk warning functions. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 Schematic diagram of the system module of the present invention;

[0027] Figure 2 Schematic diagram of the monochromatic reflectance spectrum of the present invention;

[0028] Figure 3 This is a logic flow diagram of a modular combinable plant viewing and growth control system of the present invention;

[0029] Figure 4 The figure is a logical flow diagram of the plant fluorescence focal area identification and priority sorting method based on multi-channel imaging spectroscopy of the present invention. DETAILED DESCRIPTION

[0030] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0031] In the description of the present invention, it should be understood that the terms "opening", "upper", "lower", "thickness", "top", "middle", "length", "inside", "around" and the like indicating orientation or positional relationship are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the components or elements referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as limiting the present invention.

[0032] See also Figure 1An embodiment of the present invention provides a technical solution: a modular and combinable plant viewing and growth control system, including a growth deviation assessment module for collecting and analyzing environmental data of plants planted in a sealed transparent viewing container to obtain a growth deviation factor of the planted plant, and adjusting the fluid circuit of the sealed transparent viewing container according to the growth deviation factor of the planted plant.

[0033] The fluorescence focus characterization module is used to divide the sealed transparent ornamental container into several sub-areas, collect the leaf surface reflection spectrum in each sealed transparent ornamental container sub-area 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 focus characterization value of the planted plants in each sealed transparent ornamental container sub-area, and screen out each fluorescence imaging focus area, and obtain the visual interface priority of each fluorescence imaging focus area.

[0034] The light efficiency analysis and control module is used to divide the plants in each fluorescent imaging focus area to obtain various plant clusters in each fluorescent imaging focus area, collect and analyze the fluorescence imaging measurement parameters of each plant cluster in each fluorescent imaging focus area, obtain the light efficiency index of each fluorescent imaging focus area, adjust the light source of each fluorescent imaging focus area, and issue an early warning for the sealed transparent viewing container.

[0035] It should be noted that the specific process of generating a plant growth activity distribution map is to use a multi-band camera installed in front of the wall to simultaneously capture the reflection images of the leaves in the visible light and near-infrared bands, and use the camera to capture the reflection brightness of the same leaf under two or more specific colors of light, and then convert them into a single numerical value according to a preset certain proportional relationship; then, the system maps these numerical values onto a two-dimensional plane, with different numerical values corresponding to different color depths, forming an activity distribution map covering the entire decorative wall, so that high-activity areas appear bright and low-activity areas are marked with dark blocks. Throughout the entire process, the camera's shutter, filter switching, and image acquisition are all completed at the same time, ensuring that there is no time difference between the images of each band; the high and low values are converted into color gradients through the built-in color mapping template and superimposed on the three-dimensional model of the decorative wall, providing a visual basis for subsequent precise adjustment. The entire process is smooth and seamless, ensuring the synchronization of information collection and timely presenting the health status distribution of plants in different locations.

[0036] Specifically, the growth deviation factor of the planted plants is obtained by extracting the environmental data of the plants planted in a sealed transparent ornamental container, including air temperature, relative humidity, carbon dioxide concentration, photosynthetic active radiation intensity and light duration.

[0037] It should be noted that the air temperature and relative humidity in a sealed transparent viewing container are usually obtained by real-time monitoring through high-precision temperature and humidity sensors, the carbon dioxide concentration is measured using a special carbon dioxide sensor, and the photosynthetic active radiation intensity and light duration are collected through light sensors and radiometers.

[0038] 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 are respectively analyzed in proportion 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 in the sealed transparent ornamental container from the ideal growth conditions.

[0039] It should be noted that the specific analysis conditions for the growth deviation factor of the plant are:

[0040] ;

[0041] ;

[0042] Where, represents the growth deviation factor of the plant, Indicates the air temperature, Represents the optimal growth air temperature set in the database, Relative humidity, Indicates 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 plant, Indicates the weight coefficient corresponding to the air temperature set in the database, Indicates the weight coefficient corresponding to the relative humidity set in the database, Indicates the weight coefficient corresponding to the carbon dioxide concentration set in the database, Indicates the weight coefficient corresponding to the second growth deviation factor of the plant set in the database, represents the intensity of photosynthetically active radiation, Indicates the optimal growth photosynthetically active radiation intensity set in the database, Indicates the duration of illumination. Indicates the optimal growth light duration set in the database. Indicates the weight coefficient corresponding to the photosynthetic active radiation intensity set in the database, Indicates the weight coefficient corresponding to the illumination duration set in the database.

[0043] It should be noted that in plant growth control systems, there is a close coupling relationship between air temperature, relative humidity, carbon dioxide concentration, photosynthetically active radiation intensity, and light duration, which together determine photosynthetic efficiency and plant health. First, air temperature affects relative humidity and transpiration rate: when the temperature rises, the humidity decreases at the same water vapor content. To maintain stomata open, plants tend to increase transpiration, thereby accelerating water absorption in the root zone. Second, the degree of stomatal openness is not only affected by temperature and humidity conditions, but also by carbon dioxide concentration and photosynthetically active radiation intensity. When light intensity and carbon dioxide concentration levels increase simultaneously, stomata tend to open fully to maximize carbon dioxide absorption. However, if the air is too dry or if the stomata are partially closed due to continuous light for a long time, this will restrict carbon dioxide entry and reduce the actual photosynthesis rate.

[0044] It should be noted that for most greenhouse or indoor ornamental plants, an air temperature of 20–28°C balances photosynthesis and respiratory expenditure. Therefore, an air temperature between 20 and 28°C is most suitable, and the corresponding optimal growth temperature is also in the 20-28°C range. A relative humidity of 60%–80% maintains normal leaf stomata ventilation and effectively reduces the risk of pests and diseases, so the corresponding optimal growth humidity is also set within this range. Carbon dioxide concentrations generally maintained between 800 and 1,200 ppm can significantly improve photosynthetic carbon fixation efficiency, so the optimal growth carbon dioxide concentration range is also 800 to 1,200 ppm. Photosynthetically active radiation intensity is commonly found in the range of 200 to 800 micromoles per square meter per second, which meets the light saturation requirements of most ornamental plants while avoiding light damage. Therefore, the optimal growth photosynthetically active radiation intensity is also set in this range. The daily light duration can be set to 12 to 16 hours, which both meets the daily light accumulation requirements and retains a sufficient dark period for respiration and metabolism. Therefore, the corresponding optimal light duration is set to around 12 to 16 hours.

[0045] It should be noted that the weight coefficient corresponding to the air temperature, the weight coefficient corresponding to the relative humidity, the weight coefficient corresponding to the carbon dioxide concentration, the weight coefficient corresponding to the second growth deviation factor of the plant, the weight coefficient corresponding to the photosynthetic active radiation intensity, the weight coefficient corresponding to the light duration, and the weight coefficient corresponding to the nutrient solution flow rate 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 air temperature, relative humidity, carbon dioxide concentration, photosynthetic active radiation intensity, light duration, and the second growth deviation factor of the plant and the weight coefficients, the real-time detected air temperature, relative humidity, carbon dioxide concentration, photosynthetic active radiation intensity, light duration, and the second growth deviation factor of the plant are input and transmitted to the corresponding mapping relationship table in the database, thereby quickly obtaining the weight coefficient corresponding to the air temperature, the weight coefficient corresponding to the relative humidity, the weight coefficient corresponding to the carbon dioxide concentration, the weight coefficient corresponding to the photosynthetic active radiation intensity, the weight coefficient corresponding to the light duration, and the weight coefficient corresponding to the second growth deviation factor of the plant.

[0046] Specifically, the fluid circuit of the sealed transparent ornamental container is adjusted. The specific process is: extract the growth deviation factor of the planted plant, and compare and match it with the nutrient solution flow rate increment corresponding to each interval of the growth deviation factor of the planted plant preset in the database to obtain the nutrient solution flow rate increment of the planted plant, 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 plant.

[0047] 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: the original nutrient solution flow rate in the fluid circuit of the sealed transparent ornamental container is added 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, and the setting parameters of the pump circuit of the sealed transparent ornamental container are sent to the control board at one time through the digital valve and pulse drive, so that the original nutrient solution flow rate in the fluid circuit of the sealed transparent ornamental container reaches the target nutrient solution flow rate, and the subsequent sub-area threshold screening, focus area priority sorting and light efficiency index evaluation provide new physiological state basis, which ultimately supports the precise triggering of light source adjustment and early warning logic.

[0048] Specifically, the fluorescence imaging focus characterization value of the plants planted in each sub-area of the sealed transparent ornamental container is obtained. The specific process is: the reflection intensity ratio of the leaves in each sub-area of the sealed transparent ornamental container to near-infrared light and red light and the absolute average value of the reflection intensity of the total band are collected through a multi-channel imaging spectrometer.

[0049] The ratio of the reflection intensity of near-infrared light to red light of leaves in each sub-area of the sealed transparent ornamental container and the reference ratio of the reflection intensity of near-infrared light to red light, and the absolute average value of the reflection intensity of the total band and the reference absolute average value of the reflection intensity of the total band were respectively analyzed. The weight coefficient and the growth deviation factor of the planted plants were introduced to obtain the fluorescence imaging focus representation value of the planted plants in each sub-area of the sealed transparent ornamental container. The fluorescence imaging focus representation value of the planted plants in each sub-area of the sealed transparent ornamental container is used to evaluate and quantify the degree of local abnormality of each sub-area of the sealed transparent ornamental container relative to the ideal photosynthetic state.

[0050] It should be noted that the ratio of the leaf's reflectance intensity to near-infrared light and red light is obtained by synchronously collecting reflectance intensity data for each leaf surface using multi-channel imaging spectrometers or multi-band sensors installed in each sub-area. The reflectance intensity of each pixel corresponds to light of a different wavelength band. For example, the red light band generally refers to the wavelength around 660 nanometers, while the near-infrared light band refers to the wavelength between 750 and 800 nanometers. The system extracts the reflectance intensity of these two bands separately and calculates the ratio to obtain the reflectance ratio of near-infrared to red light. This ratio is generally used to reflect the chlorophyll content level and photosynthetic capacity of the leaves. The absolute average of the total band reflectance intensity refers to the average value of the overall reflectance level obtained by summing the reflectance intensity values collected for all set bands, for example, one channel every 10 nanometers from 400 to 800 nanometers, and dividing by the number of bands.

[0051] It should be noted that the specific analysis conditions for the fluorescence imaging focus characterization values of the plants planted in each sub-area of the sealed transparent viewing container are:

[0052] ;

[0053] Where, represents the fluorescence imaging focus characterization value of the plant in the i-th sealed transparent viewing container sub-area, represents the ratio of the reflection intensity of the leaves to near-infrared light and red light in the i-th sealed transparent viewing container sub-area, Indicates 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 closed transparent viewing container sub-area, Indicates the reference absolute average value of the total band reflection intensity set in the database. represents the growth deviation factor of the plant, Indicates the weight coefficient corresponding to the reflection intensity ratio of the leaf to near-infrared light and red light set in the database, Indicates 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 plant set in the database, i represents each closed transparent viewing container sub-area, , n is the total number of sub-areas of the sealed transparent viewing container.

[0054] It is important to note that in plant observation and growth monitoring, the leaf reflectance ratio for near-infrared to red light, the absolute average of overall reflectance intensity, and the growth deviation factor do not exist in isolation; rather, they interact and jointly reflect plant health and stress. First, when chlorophyll content is sufficient and photosynthetic activity is normal, leaves reflect significantly more near-infrared light than red light, resulting in a high reflectance ratio. At the same time, due to the uniform distribution of leaf structure and pigments, the overall average reflectance remains within a range that is neither too low for excessive absorption nor too high for excessive reflection. Under these ideal conditions, the growth deviation factor is typically minimal, indicating that environmental conditions are highly consistent with model expectations. However, under environmental stresses such as dryness, high temperature, or nutrient imbalance, plants often reduce chlorophyll synthesis or alter leaf structure to mitigate transpiration and photodamage. This results in a rapid decrease in the near-infrared to red reflectance ratio, and the average reflectance values in the same band may therefore increase overall.

[0055] It should be noted that for most ornamental plant leaves, healthy leaves typically have a significantly higher reflectivity for near-infrared light than for red light. Therefore, in spectral imaging, the near-infrared to red light reflectivity ratio generally ranges from 3:1 to 8:1. A reference red light reflectivity ratio can be set at approximately 5:1, depending on the species and growth stage, as a baseline for ideal health. Similarly, the average reflectivity of leaves across the entire visible to near-infrared spectrum typically falls between 20% and 40%. This absolute average reflects the leaf's overall absorption efficiency of available light energy. The corresponding reference absolute average reflectance value is often set at approximately 30%, representing the baseline reflectivity level of leaves under ideal growth conditions.

[0056] It should be noted that the weight coefficient corresponding to the ratio of the reflection intensity of the leaves to near-infrared light and red light, the weight coefficient corresponding to the absolute average value of the reflection intensity of the total band, and the weight coefficient corresponding to the growth deviation factor of the planted plant 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 ratio of the reflection intensity of the leaves to near-infrared light and red light, the absolute average value of the reflection intensity of the total band, the growth deviation factor of the planted plant and the weight coefficient, the real-time detected ratio of the reflection intensity of the leaves to near-infrared light and red light, the absolute average value of the reflection intensity of the total band, and the growth deviation factor of the planted plant are input into the corresponding mapping relationship table in the database, respectively, so as to quickly obtain the weight coefficient corresponding to the ratio of the reflection intensity of the leaves to near-infrared light and red light, the weight coefficient corresponding to the absolute average value of the reflection intensity of the total band, and the weight coefficient corresponding to the growth deviation factor of the planted plant.

[0057] Specifically, the fluorescent imaging focusing areas are obtained by screening, and the specific process is: the fluorescent imaging focusing characterization value of the planted plants in each sealed transparent ornamental container sub-area is extracted, and compared with the fluorescent imaging focusing characterization threshold of the planted plants set in the database; if the fluorescent imaging focusing characterization value of the planted plants in a certain sealed transparent ornamental container sub-area is higher than or equal to the fluorescent imaging focusing characterization threshold of the planted plants, then the sealed transparent ornamental container sub-area is marked as the fluorescent imaging focusing area; if the fluorescent imaging focusing characterization value of the planted plants in a certain sealed transparent ornamental container sub-area is lower than the fluorescent imaging focusing characterization threshold of the planted plants, then there is no need to mark the sealed transparent ornamental container sub-area as the fluorescent imaging focusing area, thereby obtaining the fluorescent imaging focusing areas.

[0058] Specifically, the visual interface priority of each fluorescent imaging focusing area is obtained. The specific process is: extract the fluorescent imaging focus characterization values of the plants planted in each fluorescent imaging focusing area and sort them from small to large, and obtain the visual interface priority of each fluorescent imaging focusing area according to the sorting matching of the fluorescent imaging focus characterization values of the plants planted in each fluorescent imaging focusing area.

[0059] It should be noted that the status indicators and priority distribution of each area are displayed in real time through the graphical user interface or mobile app. Users can flexibly combine multiple high-priority areas through interactive methods such as panning, zooming or dragging on the interface to form the best viewing layout.

[0060] It should be noted that the specific process of obtaining the visual interface priority of each fluorescent imaging focus area based on the sorting and matching of the fluorescent imaging focus characterization values of the plants planted in each fluorescent imaging focus area is: use the sorting result to assign a priority label to each focus area, for example, the areas with the top 25% characterization values are marked as "primary focus", and a suggestion display is generated for display in the main visual area; the middle 50% are classified as "secondary focus", and a suggestion display is generated to be configured in the auxiliary field of view area; and the last 25% are marked as "low priority", and a suggestion display is generated to suggest that the sub-area be arranged at the edge of the wall, the blocked area or the background cultivation area, or wait for intervention and repair before being put on the wall again, and the modules with the lowest fluorescent imaging focus characterization values of the plants planted in each fluorescent imaging focus area, that is, the healthier and more beautiful ones, are placed in the center of the wall and at the focus of sight to ensure the best viewing effect. This ensures efficient system operation and maintenance without affecting the harmonious aesthetic of the decorative wall that is ultimately presented to the audience. By subsequently concentrating the system's limited imaging, computing, and control resources on higher-priority areas, the most critical modules can be finely grouped and parameter tracked while ensuring the overall viewing effect, significantly improving monitoring and control efficiency.

[0061] Specifically, clusters of various plants in each fluorescence imaging focal area are obtained. The specific process is: fluorescence imaging image data of each fluorescence imaging focal area is acquired, and multiple plants in the fluorescence imaging focal area are divided into several plant clusters through image segmentation technology, thereby obtaining clusters of various plants in each fluorescence imaging focal area.

[0062] 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 strong saturation pulse light, and the steady-state fluorescence map under natural light conditions.

[0063] It should be noted that the specific process of obtaining the various plant clusters in each fluorescence imaging focal area is as follows: in the multispectral imaging stage, the system first synchronously shoots multiple bands of visible light to near-infrared light 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 level of photosynthetic activity of the leaves. Next, on this distribution map, the system uses an advanced image segmentation algorithm to automatically detect and depict the outer contours of each leaf. It then calculates the NDVI (Normalized Difference Vegetation Index, which determines leaf health by comparing the reflectance difference between the near-infrared band and the red band, reflecting the amount of chlorophyll) and PRI (Photochemical Reflectance Index, a value used to reflect the photosynthetic protection mechanism and leaf stress state) within each contour area, and compares these values with the global average value of the entire decorative wall to obtain the deviation of each leaf. The NDVI and PRI deviations of each leaf are used as two-dimensional feature vectors and input into the clustering algorithm. Without predetermining the number of groups, the algorithm's internal similarity calculation automatically groups leaves with similar deviations into the same subset, forming 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 spatial registration of fluorescence or multispectral panoramic images, a three-dimensional or two-dimensional model of the plant wall is generated, in which each leaf's outline mask is clearly mapped to the container wall's coordinate system. Next, the system uses connected component analysis to link leaf clusters that are spatially adjacent in the image plane and belong to the same plant's root stem projection. Specifically, semantic segmentation is performed on the entire image to isolate the main plant outlines and branch connection regions. The centroid position and bounding box of each clustered leaf cluster are then calculated, and a determination is made as to whether they overlap or are spatially adjacent to the trunk or petiole of a particular plant. Specifically, the centroid of each leaf cluster is calculated in three dimensions and the shortest Euclidean distance from this centroid to the nearest stem skeleton point is measured. If this distance is less than a preset threshold in the database (typically equivalent to the average petiole length or leaf size of the plant), the leaf cluster is considered spatially connected or adjacent to the trunk of the plant; otherwise, it is considered to belong to a different plant or root unit. 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 fluorescence imaging focal area, each cluster representing a whole plant or a community of the same root system in the area.

[0064] like Figure 2 As shown, Figure 2This is a schematic diagram of a monochromatic reflectance spectrum. After capturing multi-band images, the reflectance spectra of different sub-regions are analyzed and decoded. After the system acquires images of each band, it generates a monochromatic spectral reflectance curve based on the pixel reflectance of each sub-region. The changes in reflectance in specific bands (such as red and near-infrared) are used to derive indicators such as NDVI and PRI, thereby determining the photosynthetic activity and stress state of the leaves. The horizontal axis represents wavelength (400–800 nanometers), and the vertical axis represents reflectance in the corresponding band. The curve peaks appear on both sides of the chlorophyll absorption valley (around 550 nanometers), exhibiting typical reflectance characteristics. This shows the distribution of reflectance intensity of the leaves in various bands from visible light to near-infrared, allowing the system to extract the near-infrared in each sub-region and intuitively identify the spectral distribution and the location of abnormal peaks and valleys, facilitating subsequent multi-region comparison and anomaly detection.

[0065] Specifically, the light efficiency index of each fluorescence imaging focal area is obtained. The specific process is: extracting the fluorescence imaging measurement parameters of each plant cluster in each fluorescence imaging focal area, including the maximum photochemical efficiency, minimum fluorescence intensity and maximum fluorescence intensity of the target leaf.

[0066] It should be noted that the minimum fluorescence intensity of the target leaf is achieved after the plant is placed in a dark room for several minutes to completely shut down the photosystem reaction centers, and then the leaf surface is illuminated with an extremely low-intensity detection light source to record the baseline fluorescence emitted by the chlorophyll molecules when they are not participating in the photochemical reaction. Subsequently, to obtain the maximum fluorescence intensity, the system applies a short and strong saturation light pulse to the same dark-adapted leaf to instantaneously close all the reaction centers, blocking the photochemical energy conversion, forcing all the excitation energy to be released in the form of fluorescence, and recording this peak value. The maximum photochemical efficiency of the leaf is reflected by comparing the ratio of the difference between the two measurement results to the maximum fluorescence value to reflect the energy conversion ability of the photosystem under dark-adapted conditions. This ratio indirectly characterizes the potential of the leaf to efficiently use the absorbed light energy for chemical reactions under non-saturated conditions.

[0067] The proportions of 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 were analyzed respectively, and the weight coefficient and the fluorescence imaging focus characterization value of the plants planted in each fluorescence imaging focus area were introduced 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 level of the plant under the current lighting conditions.

[0068] It should be noted that the fluorescence imaging focus characterization value of the plants planted in each sub-area of the sealed transparent ornamental container includes the fluorescence imaging focus characterization value of the plants planted in each fluorescence imaging focus area.

[0069] It should be noted that the specific analysis conditions for the light efficiency index of each fluorescence imaging focus area are:

[0070] ;

[0071] Where, represents the light efficiency index of the kth fluorescence imaging focal area, represents the maximum photochemical efficiency of the target leaf of the jth plant cluster in the kth fluorescence imaging focal area, It represents the maximum photochemical efficiency of the target leaf set in the database. represents the minimum fluorescence intensity of the target leaf of the jth plant cluster in the kth fluorescence imaging focus area, Indicates the minimum fluorescence intensity defined in the database. represents the maximum fluorescence intensity of the target leaf of the jth plant cluster in the kth fluorescence imaging focus area, Indicates the reference maximum fluorescence intensity set in the database, represents the fluorescence imaging focus characterization value of the plant in the kth fluorescence imaging focus area, Indicates the weight coefficient corresponding to the maximum photochemical efficiency set in the database, Indicates the weight coefficient corresponding to the minimum fluorescence intensity set in the database, Indicates 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 the clusters of various plants, , m is the total number of plant clusters, k represents the focal area of each fluorescence imaging, , b is the total number of fluorescence imaging focus areas.

[0072] It should be noted that the maximum photochemical efficiency, minimum fluorescence intensity, maximum fluorescence intensity, and regional-level focus characterization values are not isolated indicators. For example, first, when the photosystem functions intactly and photosynthetic activity is strong, the potential maximum photochemical efficiency of the leaves will remain at a 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 electron transfer is smooth. At the same time, the characterization value of the entire focus area will also remain in a low range, which means that there is no obvious risk of light damage or photoinhibition in this area. However, when environmental stress occurs, the photosynthetic mechanism is first manifested in the leaves - the potential maximum photochemical efficiency begins to decline, reflecting a decline in the system's chemical energy conversion efficiency; while the minimum fluorescence intensity increases, indicating that the reaction center has been abnormally closed or damaged under dark adaptation conditions; the maximum fluorescence intensity decreases significantly, indicating that chlorophyll cannot fully accumulate excitation energy.

[0073] It should be noted that for most ornamental plant leaves, the potential maximum photochemical efficiency usually remains between 0.78 and 0.85, and the maximum theoretical efficiency of converting light energy into chemical energy is upper bounded by the highest energy conversion efficiency under dark-adapted conditions. 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-adapted 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 minimum fluorescence intensity can be around 200. A value below 100 may indicate damage to antenna pigments, such as blocked chlorophyll synthesis, while a value above 300 may indicate 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. The reference maximum fluorescence intensity can be set at around 1000.

[0074] 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 generally 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, minimum fluorescence intensity, maximum fluorescence intensity, and fluorescence imaging focus characterization value are respectively input and transmitted to the corresponding mapping relationship table in the database, thereby quickly obtaining 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.

[0075] Specifically, the light source of each fluorescence imaging focal area is adjusted. The specific process is: extracting the light efficiency index of each fluorescence imaging focal area and comparing it with the light efficiency index threshold of the fluorescence imaging focal area preset in the database; if the light efficiency index of a certain fluorescence imaging focal area is lower than the light efficiency index threshold of the fluorescence imaging focal area, the light source of the fluorescence imaging focal area is adjusted; if the light efficiency index of a certain fluorescence imaging focal area is higher than or equal to the light efficiency index threshold of the fluorescence imaging focal area, there is no need to adjust the light source of the fluorescence imaging focal area.

[0076] It should be noted that the specific process of adjusting the light source in the fluorescent imaging focal area is as follows: the main control unit triggers the light source adjustment mechanism, lowers the excessive light intensity and shortens the irradiation period, and the degree of light intensity reduction is dynamically calculated based on the degree of deviation between the actual light efficiency and the threshold. For example, when it is detected that the light efficiency of 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 the area by about 5% to 10% to avoid light inhibition or energy waste caused by excessive illumination; if the efficiency deviation further intensifies, exceeding about 20% or even reaching 30%, , the system may take more significant regulatory actions, reducing the light intensity by 15% to 20%, but in order to prevent secondary stress caused by insufficient light energy, a protection upper limit of no more than 25% is generally set; in terms of illumination cycle, the system also adopts a deviation-driven strategy to adjust the total daily lighting time. The specific method is to use the total duration of the current sunlight cycle as the benchmark, combined with the efficiency deviation ratio for dynamic reduction. For example, if the efficiency drops by more than 15%, the system will shorten the illumination time of the next cycle by about 5%, and the maximum will not exceed 15% of the total cycle, so as not to affect the photoperiod rhythm.

[0077] Specifically, an early warning is issued for a sealed transparent viewing container. The specific process is: a number of monitoring cycles are preset, the light efficiency index of each fluorescent imaging focal area is extracted in each monitoring cycle, and the number of cycles in which the light efficiency index of each fluorescent imaging focal area in each monitoring cycle is lower than a preset light efficiency index threshold is counted, and recorded as the number of cycles with insufficient light efficiency. If the number of cycles with insufficient light efficiency is higher than or equal to the threshold number of cycles with insufficient light efficiency preset in the database, an early warning is issued for the sealed transparent viewing container. If the number of cycles with insufficient light efficiency is lower than the threshold number of cycles with insufficient light efficiency preset in the database, there is no need to issue an early warning for the sealed transparent viewing container.

[0078] It should be noted that early warning for sealed, transparent ornamental containers involves the control center sending real-time alerts to operations personnel or the management platform, including the location of the affected area and the current light efficiency index. Regulation primarily adjusts the nutrient solution flow rate and light source parameters within the sealed, transparent ornamental container to optimize the plant's growth environment and improve the light efficiency index within each fluorescent imaging focus area, thereby promoting plant health and photosynthetic efficiency. The early warning mechanism, based on light efficiency index monitoring data, continuously tracks changes in the physiological state of each focus area. When the light efficiency index of a particular area consistently falls below a preset threshold over multiple monitoring cycles, the system issues an alert, indicating possible growth anomalies or environmental issues, requiring timely intervention. Regulation measures are intended to proactively optimize environmental conditions to prevent or alleviate light efficiency decline and maintain plant health. The early warning function, however, serves as a passive monitoring and feedback mechanism, helping to identify whether regulation measures are meeting targets and promptly identifying and locating abnormal areas, achieving dynamic closed-loop management. By seamlessly integrating regulation and early warning, the system not only ensures continuous optimization of the planting environment but also rapidly responds to potential risks, ensuring stable growth and optimal viewing of ornamental plants.

[0079] like Figure 3 As shown, Figure 3 This is a logical flow diagram of a modular and combinable plant viewing and growth control system. Through modular processes, it realizes environmental status assessment, spatial segmentation and focused management of plant groups. Combined with multi-dimensional data analysis, it dynamically adjusts fluid and lighting conditions, and performs intelligent early warning based on light efficiency cycle statistics. It realizes accurate quantification and real-time response of plant growth status, improves the system's intelligent control capabilities and flexible scalability, and is suitable for plant viewing and growth control in multiple scenarios.

[0080] like Figure 4 As shown, Figure 4 This is a logical flow diagram of the plant fluorescence focal area identification and priority sorting method based on multi-channel imaging spectroscopy. By combining multi-channel imaging spectroscopy technology with weight analysis, local photosynthetic abnormal areas can be accurately identified. The dynamic identification of abnormal states and the visual interface priority sorting function greatly improve the targeted and intelligent level of plant growth monitoring, and help achieve precise management and efficient response.

[0081] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Thus, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0082] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowcharts and / or block diagrams, as well as combinations of processes and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowcharts and / or block diagrams. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0083] These computer program instructions may 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, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0084] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0085] Although the preferred embodiments of the present invention have been described, those skilled in the art may make additional changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0086] Obviously, those skilled in the art may make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if such changes and modifications fall within the scope of the claims and their equivalents, the present invention is intended to include such changes and modifications.

Claims

1. A modular combinable plant viewing and growth control system, characterized in that: include: A growth deviation assessment module is used to collect and analyze environmental data of plants planted in a sealed transparent ornamental container to obtain a growth deviation factor of the planted plant and adjust the fluid circuit of the sealed transparent ornamental container according to the growth deviation factor of the planted plant; A fluorescence focus characterization module is used to divide the sealed transparent ornamental container into several sub-areas, collect leaf surface reflectance spectra in each sealed transparent ornamental container sub-area to generate a plant growth activity distribution map, combine the plant growth deviation factor to obtain the fluorescence imaging focus characterization value of the plant in each sealed transparent ornamental container sub-area, screen each fluorescence imaging focus area, and obtain the visual interface priority of each fluorescence imaging focus area; The light efficiency analysis and control module is used to divide the plants in each fluorescent imaging focus area to obtain various plant clusters in each fluorescent imaging focus area, collect and analyze the fluorescence imaging measurement parameters of each plant cluster in each fluorescent imaging focus area, obtain the light efficiency index of each fluorescent imaging focus area, adjust the light source of each fluorescent imaging focus area, and issue an early warning for the sealed transparent viewing container.

2. A modular combinable plant viewing and growth control system as claimed in claim 1, characterized in that: The specific process of obtaining the growth deviation factor of the plant is as follows: Extract environmental data of plants grown in sealed transparent ornamental containers, including air temperature, relative humidity, carbon dioxide concentration, photosynthetically active radiation intensity, and light duration; 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 are respectively analyzed in proportion and a weight coefficient is introduced to obtain the growth deviation factor of the planted plant. The growth deviation factor of the planted plant is used to evaluate the degree of deviation of the current environmental conditions in the sealed transparent ornamental container from the ideal growth state conditions.

3. A modular combinable plant viewing and growth control system as claimed in claim 2, characterized in that: The specific process of adjusting the fluid circuit of the sealed transparent viewing container is as follows: The growth deviation factor of the planted plant is extracted and compared with the nutrient solution flow rate increment corresponding to each interval of the preset growth deviation factor of the planted plant to obtain the nutrient solution flow rate increment of the planted plant. The nutrient solution flow rate in the fluid circuit of the closed transparent ornamental container is adjusted according to the nutrient solution flow rate increment of the planted plant.

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 focus characterization value of the plant planted in each sub-area of the sealed transparent viewing container is as follows: The multi-channel imaging spectrometer was used to collect the reflection intensity ratio of near-infrared light to red light and the absolute average value of the total reflection intensity of the leaves in each sub-area of the sealed transparent viewing container. The ratio of the reflection intensity of near-infrared light to red light of leaves in each sub-area of the sealed transparent ornamental container and the reference ratio of the reflection intensity of near-infrared light to red light, and the absolute average value of the reflection intensity of the total band and the reference absolute average value of the reflection intensity of the total band were respectively analyzed, and the weight coefficient and the growth deviation factor of the planted plants were introduced to obtain the fluorescence imaging focus characterization value of the planted plants in each sub-area of the sealed transparent ornamental container. The fluorescence imaging focus characterization value of the planted plants in each sub-area of the sealed transparent ornamental container is used to evaluate and quantify the degree of local abnormality of each sub-area of the sealed transparent ornamental container relative to the ideal photosynthetic state.

5. A modular combinable plant viewing and growth control system as claimed in claim 4, characterized in that: The screening process to obtain each fluorescent imaging focal area is as follows: The fluorescence imaging focus characterization value of the planted plants in each sealed transparent ornamental container sub-area is extracted and compared with the fluorescence imaging focus characterization threshold of the planted plants set in the database. If the fluorescence imaging focus characterization value of the planted plants in a certain sealed transparent ornamental container sub-area is higher than or equal to the fluorescence imaging focus characterization threshold of the planted plants, the sealed transparent ornamental container sub-area is marked as a fluorescence imaging focus area. If the fluorescence imaging focus characterization value of the planted plants in a certain sealed transparent ornamental container sub-area is lower than the fluorescence imaging focus characterization threshold of the planted plants, there is no need to mark the sealed transparent ornamental container sub-area as a fluorescence imaging focus area, thereby obtaining each fluorescence imaging focus area.

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 fluorescent imaging focus area is as follows: The fluorescence imaging focus characterization values of the plants planted in each fluorescence imaging focus area are extracted and sorted from small to large, and the visual interface priority of each fluorescence imaging focus area is obtained according to the sorting matching of the fluorescence imaging focus characterization values of the plants planted in each fluorescence imaging focus area.

7. The modular combinable plant viewing and growth control system according to claim 1, characterized in that: The specific process of obtaining the plant clusters in each fluorescence imaging focal area is as follows: Fluorescence imaging image data of each fluorescence imaging focal area is obtained, and multiple plants in the fluorescence imaging focal area are divided into several plant clusters through image segmentation technology, thereby obtaining various plant clusters in each fluorescence imaging focal area.

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 focus area is as follows: Extracting fluorescence imaging measurement parameters of each plant cluster in each fluorescence imaging focus area, including the maximum photochemical efficiency, minimum fluorescence intensity, and maximum fluorescence intensity of the target leaf; The proportions of 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 were analyzed respectively, and the weight coefficient and the fluorescence imaging focus characterization value of the plants planted in each fluorescence imaging focus area were introduced 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 level of the plant under the current lighting conditions.

9. The modular combinable plant viewing and growth control system according to claim 8, characterized in that: The light source of each fluorescence imaging focus area is adjusted in the following specific process: The light efficiency index of each fluorescence imaging focus area is extracted and compared with the light efficiency index threshold of the fluorescence imaging focus area preset in the database. If the light efficiency index of a fluorescence imaging focus area is lower than the light efficiency index threshold of the fluorescence imaging focus area, the light source of the fluorescence imaging focus area is adjusted. If the light efficiency index of a fluorescence imaging focus area is higher than or equal to the light efficiency index threshold of the fluorescence imaging focus area, the light source of the fluorescence imaging focus area does not need to be adjusted.

10. The modular combinable plant viewing and growth control system according to claim 1, characterized in that: The specific process of providing early warning for a sealed transparent viewing container is as follows: A number of monitoring cycles are preset, and the light efficiency index of each fluorescent imaging focal area is extracted in each monitoring cycle. The number of cycles in which the light efficiency index of each fluorescent imaging focal area in each monitoring cycle is lower than a preset light efficiency index threshold is counted, and recorded as the number of cycles with insufficient light efficiency. If the number of cycles with insufficient light efficiency is higher than or equal to the threshold number of cycles with insufficient light efficiency preset in the database, an early warning is issued for the sealed transparent viewing container. If the number of cycles with insufficient light efficiency is lower than the threshold number of cycles with insufficient light efficiency preset, there is no need to issue an early warning for the sealed transparent viewing container.

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