A method for identifying cold tolerance of phalaenopsis by real-time photosynthetic phenotyping imaging system

Abstract

The present application relates to the field of plant trait identification method, and relates to a method for identifying cold tolerance of butterfly orchid through a real-time photosynthetic phenotype imaging system, a plurality of butterfly orchid varieties are selected for cold tolerance test, and 4 plants of each variety are selected for low-temperature cold damage treatment; the test butterfly orchid varieties are placed in a set environment, and are tested and treated in cooperation with a multi-environment regulation in-situ real-time photosynthetic phenotype imaging system, butterfly orchid flower information data are collected at four treatment time points respectively, and cold tolerance indexes of the butterfly orchid flowers are calculated; the PSII maximum photochemical efficiency is calculated according to the detected chlorophyll fluorescence data, and the butterfly orchid varieties to be rated are pre-screened based on a preset standard; the cold tolerance indexes of the butterfly orchid flower varieties screened in the previous step are calculated; and the butterfly orchid varieties with better cold tolerance are screened according to the cold tolerance evaluation results, so that rapid and continuous detection of the chlorophyll fluorescence of butterfly orchid leaves is realized, and the detection period is shortened.

Description

Technical Field

[0001] This invention relates to a method for identifying the cold tolerance of Phalaenopsis orchids using a real-time photosynthetic phenotypic imaging system, and particularly to a method for identifying the cold tolerance of Phalaenopsis orchids using a real-time photosynthetic phenotypic imaging system applied in the field of plant trait identification methods. Background Technology

[0002] Phalaenopsis orchids are perennial, warm-loving, evergreen herbaceous plants. These plants are not very cold-hardy; they cease growth below 15℃ in winter, and are susceptible to chilling injury below 12℃, causing flower color to darken and flowers to fall off. If the low temperatures persist, the roots stop absorbing water, leading to physiological dehydration and plant death. In northern China and the middle and lower reaches of the Yangtze River, the market for Phalaenopsis orchids is huge, but temperature remains a crucial factor affecting their growth and consumption. Particularly in the middle and lower reaches of the Yangtze River, the low indoor temperatures at night in winter make Phalaenopsis orchids more vulnerable to chilling injury, significantly impacting their marketability. Therefore, there is an urgent need to select Phalaenopsis orchid varieties that are resistant to low temperatures.

[0003] To address the issue of trait identification in Phalaenopsis orchid cultivation, a certain identification method on the market employs a design that calculates chlorophyll fluorescence parameters for identification, and it has a certain market share.

[0004] Chinese invention patent CN202110475367.9 discloses a device and method for detecting chlorophyll fluorescence parameters in plant leaves. Based on the radiance information, fluorescence spectrum and temperature of the plant leaves, the chlorophyll fluorescence parameters are calculated to achieve real-time, non-destructive, efficient and accurate detection of chlorophyll fluorescence parameters in plant leaves.

[0005] Traditional methods for identifying cold tolerance in Phalaenopsis orchids suffer from drawbacks such as long testing cycles, complex operations, and susceptibility to human error. Therefore, developing an efficient, accurate, and automated method and system for identifying the cold tolerance of Phalaenopsis orchids is of paramount importance. Summary of the Invention

[0006] The technical problem this invention aims to solve in light of the aforementioned existing technologies is that traditional cold tolerance assessment methods suffer from drawbacks such as long testing cycles, complex operations, and susceptibility to human factors. Therefore, developing an efficient, accurate, and automated method and system for assessing the cold tolerance of Phalaenopsis orchids is of paramount importance.

[0007] To address the above problems, this invention provides a method for identifying the cold tolerance of Phalaenopsis orchids using a real-time photosynthetic phenotypic imaging system, specifically comprising the following steps:

[0008] S1. Select several Phalaenopsis orchid varieties for cold tolerance tests, and select 4 plants of each variety for low-temperature chilling injury treatment;

[0009] S2. The experimental Phalaenopsis orchid varieties were placed in an environment with a temperature of 10℃, relative humidity of 70%-80%, day / night light duration of 10h / 14h, and daytime light intensity of 160μmol·m⁻²·s⁻¹. The experimental treatment was carried out in conjunction with a multi-environmental regulation in-situ real-time photosynthetic phenotypic imaging system. During the experiment, the plant substrate was kept moist and the water content was uniform to ensure that the plants grew uniformly.

[0010] S3 collected Phalaenopsis orchid flower information data at four processing time points: 0 days, 7 days, 14 days and 21 days, and calculated the cold tolerance index of each Phalaenopsis orchid flower; the information data included chlorophyll fluorescence data, number of Phalaenopsis orchid open flowers, number of open flowers that fell, total number of flower buds and number of flower buds that fell.

[0011] S4. Based on the detected chlorophyll fluorescence data, calculate the maximum photochemical efficiency of PSII, and pre-screen Phalaenopsis orchid varieties for rating based on preset standards;

[0012] S5. Based on the number of open flowers, the number of fallen open flowers, the total number of flower buds, and the number of fallen flower buds collected from Phalaenopsis orchids, calculate the cold tolerance index of the flowers of the Phalaenopsis orchid varieties selected in the previous step.

[0013] S6. Based on the cold tolerance assessment results, select Phalaenopsis orchid varieties with better cold tolerance.

[0014] The above-mentioned method for identifying the cold tolerance of Phalaenopsis orchids using a real-time photosynthetic phenotypic imaging system enables rapid and continuous detection of chlorophyll fluorescence in Phalaenopsis orchid leaves, shortening the detection cycle.

[0015] As a further improvement to this application, the preset standard for S4 is that the maximum photochemical efficiency of the leaf PSII is greater than 0.7.

[0016] As a further improvement to this application, the cold resistance index is determined by the following formula:

[0017] Rc = 1 - (FC + BC) / (F0 + B0);

[0018] Where F0 is the number of open flowers of the Phalaenopsis orchid, FC is the number of open flowers that have fallen or closed, B0 is the total number of flower buds, and BC is the number of flower buds that have fallen or yellow flowers.

[0019] A multi-environment-controlled in-situ real-time photosynthetic phenotypic imaging system, the system is set up in a laboratory, the system includes;

[0020] The environmental control module is used to control the light intensity, spectral distribution, temperature, humidity, and carbon dioxide concentration in the laboratory.

[0021] The information acquisition module is used to capture images of plant leaf surfaces and reflectance spectral data. The information acquisition module is connected to optical imaging equipment and a chlorophyll fluorescence detector. The optical imaging equipment specifically includes: a high-resolution camera, a spectrometer, and an optical lens.

[0022] The data analysis module integrates image processing and data analysis algorithms. Through image processing and data analysis, it identifies leaf outlines, extracts fluorescence parameters, calculates photosynthetic rates and the average value and trend of PSII maximum photochemical efficiency for each plant variety, and generates data reports.

[0023] The acquisition and control module is connected to an automated moving platform, which is used to adjust the position of the optical imaging equipment to the position of each leaf of the plant, so as to realize continuous scanning and imaging of multiple plants or different parts of the same plant.

[0024] As another improvement of this application, the automated mobile platform includes: an electric guide rail assembly and a displacement sensor; the electric guide rail assembly includes a horizontal guide rail and a longitudinal guide rail, and the electric guide rail assembly is used to drive an auxiliary acquisition structure equipped with an optical imaging device to move smoothly in the horizontal or longitudinal direction, so that the optical imaging device can be accurately positioned above the target plant leaf, and then the auxiliary acquisition structure can be used to adjust the optical imaging device to be closer to the plant leaf for information acquisition.

[0025] As a further improvement to this application, the auxiliary acquisition structure includes an electric push rod installed at the movable end of an electric guide rail. A base is installed at the movable end of the electric push rod. The base is rotatably connected to a detector body via a motor. A nozzle is installed on the detector body. A detection ring is sleeved on the nozzle. An electric telescopic rod connects the detection ring and the detector body.

[0026] As a further improvement to this application, both the optical imaging device and the chlorophyll fluorescence detector are integrated on the detection ring. During detection, the detection ring is driven to move by an electric telescopic rod until its surface is level with the exit end of the detector body.

[0027] As a further improvement to this application, the detector body integrates a data acquisition unit that is connected to the information acquisition module, and both the optical imaging device and the chlorophyll fluorescence detector are connected to the data acquisition unit.

[0028] In summary, this method enables rapid and continuous detection of chlorophyll fluorescence in Phalaenopsis orchid leaves, shortening the detection cycle. Through automated data acquisition and processing, it reduces human error and improves the accuracy of detection results. It can be applied to the cold tolerance identification of various Phalaenopsis orchid varieties, providing a scientific basis for Phalaenopsis orchid breeding and cultivation management. Attached Figure Description

[0029] Figure 1This is a flowchart illustrating the method steps of the first embodiment of this application;

[0030] Figure 2 A graph showing the cold damage resistance index of each Phalaenopsis orchid flower according to the first embodiment of this application;

[0031] Figure 3 These are actual images of the cold resistance of various Phalaenopsis orchid flowers according to the first embodiment of this application;

[0032] Figure 4 This is a graph showing the cold damage tolerance index of various Phalaenopsis orchid flowers according to the second embodiment of this application;

[0033] Figure 5 This is a schematic diagram of the maximum photochemical efficiency of leaves under wedding banquet and Amar cold damage conditions according to the third embodiment of this application.

[0034] Figure 6 This is a system block diagram of the fourth embodiment of this application;

[0035] Figure 7 This is a three-dimensional schematic diagram of the auxiliary acquisition structure according to the fourth embodiment of this application;

[0036] Figure 8 This is a cross-sectional view of the auxiliary acquisition structure according to the fourth embodiment of this application;

[0037] Figure 9 This is a schematic diagram of the installation of the auxiliary acquisition structure in the laboratory according to the fourth embodiment of this application.

[0038] Explanation of the labels in the diagram:

[0039] 1. Base, 2. Detector body, 3. Nozzle, 4. Detection ring. Detailed Implementation

[0040] The two embodiments of this application will be described in detail below with reference to the accompanying drawings.

[0041] Implementation method 1:

[0042] Figures 1-3 This paper illustrates a method for identifying the cold tolerance of Phalaenopsis orchids using a real-time photosynthetic phenotypic imaging system, which specifically includes the following steps:

[0043] S1. Select several Phalaenopsis orchid varieties for cold tolerance tests, and select 4 plants of each variety for low-temperature chilling injury treatment.

[0044] S2. The experimental Phalaenopsis orchid varieties were placed in an environment with a temperature of 10℃, relative humidity of 70%-80%, day / night light duration of 10h / 14h, and daytime light intensity of 160μmol·m⁻²·s⁻¹. The experimental treatment was carried out in conjunction with a multi-environmental regulation in-situ real-time photosynthetic phenotypic imaging system. During the experiment, the plant substrate was kept moist and the water content was uniform to ensure that the plants grew uniformly.

[0045] S3. Collect Phalaenopsis orchid flower information data at four processing time points, including 0 days, 7 days, 14 days and 21 days, and calculate the cold tolerance index of each Phalaenopsis orchid flower; the information data includes chlorophyll fluorescence data, number of Phalaenopsis orchid open flowers, number of open flowers that have fallen, total number of flower buds and number of flower buds that have fallen.

[0046] S4. Based on the detected chlorophyll fluorescence data, calculate the maximum PSII photochemical efficiency (Fv / Fm), and pre-screen Phalaenopsis orchid varieties to be rated based on preset standards; the preset standard is that the maximum PSII photochemical efficiency of leaves is greater than 0.7.

[0047] S5. Based on the number of open flowers, the number of fallen open flowers, the total number of flower buds, and the number of fallen flower buds collected from Phalaenopsis orchids, calculate the cold tolerance index of the flowers of the Phalaenopsis orchid varieties selected in the previous step.

[0048] S6. Based on the cold tolerance assessment results, select Phalaenopsis orchid varieties with better cold tolerance.

[0049] The cold resistance index is determined by the following formula:

[0050] Rc = 1 - (FC + BC) / (F0 + B0);

[0051] Where F0 is the number of open flowers of the Phalaenopsis orchid, FC is the number of open flowers that have fallen or closed, B0 is the total number of flower buds, and BC is the number of flower buds that have fallen or yellow flowers.

[0052] In this implementation method, S1 selected 32 Phalaenopsis orchid varieties for cold tolerance testing, namely: 'Treasure Map', 'Red Agate', 'Big Chili', 'Super Group No. 9', 'U89', 'Super Group Crystal', 'Xibin Hani', 'White Lightning', 'Peach', 'Anna', 'Fule Sunset', 'Golden Phoenix', 'Golden Princess', 'Golden Armor', 'Tricolor Bird', 'Pink Lulu', 'Pink Baby', 'Rising Star', 'Little Magpie', 'Wedding Banquet', 'Chocolate', 'Purple Butterfly', 'Starry Sky', 'Little Peacock', 'Butterfly Brothers', 'Red Butterfly', 'Super Group Little Peacock', 'Willow Forest Phoenix', 'Christmas Tree', 'Remnant Snow', 'Amethyst', and 'Crystal'. The test plants were selected based on uniform growth and 5-6 mature leaves. Four clones of each variety were selected for low-temperature chilling injury treatment. Before the treatment, the plants were growing normally in the greenhouse of Zhejiang University Agricultural Experiment Station.

[0053] Thirty-two Phalaenopsis orchid varieties were placed in a multi-environment-controlled in-situ real-time photosynthetic phenotypic imaging system at 10℃, relative humidity (RH) of 70%-80%, day / night light duration of 10 h / 14 h, and daytime light intensity of 160 μmol·m⁻²·s⁻¹ for experimental treatment. The substrate was kept moist and the water content was uniform to ensure uniform growth of all plants. The cold damage to Phalaenopsis orchid flowers was investigated at 0d, 7d, 14d, and 21d, and the cold tolerance index of Phalaenopsis orchid flowers was calculated. The cold damage to Phalaenopsis orchid leaves was identified by chlorophyll fluorescence imaging, and the fluorescence parameters of Phalaenopsis orchid leaves were detected.

[0054] Figure 3 The results show that after different varieties of Phalaenopsis orchids were treated at 10℃ for 7 days, the flowers showed varying degrees of cold damage, with some varieties exhibiting flower closure and drop, and yellowing of flower buds.

[0055] Figure 2 The cold tolerance index of each variety is shown. Among them, the cold tolerance index values ​​of 'Peach', 'Anna', 'Little Magpie', 'Purple Butterfly' and 'Crystal' are 0.57, 0.56, 0.47, 0.64 and 0.39 respectively, with lower flower cold tolerance index values, indicating poorer flower cold tolerance. The cold tolerance index values ​​of 'Red Agate', 'White Lightning', 'Little Peacock', 'Wedding Banquet', 'Chocolate', 'Golden Armor' and 'Pink Baby' are 0.94, 0.91, 0.93, 0.90, 0.97, 0.92 and 0.91 respectively, with higher flower cold tolerance index values, indicating better flower cold tolerance.

[0056] The second implementation method:

[0057] Components that are the same as or corresponding to those in the first embodiment are referred to using the same reference numerals as those in the first embodiment. For simplicity, only the differences between this second embodiment and the first embodiment are described below. The difference between this second embodiment and the first embodiment is as follows:

[0058] In step S1 of this embodiment, 32 Phalaenopsis orchid varieties were selected for low-temperature treatment experiments, and the results were detected by a multi-environmental regulation in-situ real-time photosynthetic phenotypic imaging system.

[0059] Figure 4 The results show that after 14 days of low-temperature treatment at 10℃, the maximum photochemical efficiency (Fv / Fm) of PSII in the leaves of different Phalaenopsis orchid varieties was measured. The Fv / Fm values ​​of Super Peacock, Ban Die Brothers, Purple Butterfly, Tricolor Bird, and Fule Sunset were relatively small, at 0.567, 0.589, 0.611, 0.612, and 0.616, respectively. Under low temperature conditions, the PSII of these Phalaenopsis orchid leaves suffered more severe damage, and the leaves of these plants had poor low-temperature tolerance. The maximum photochemical efficiency (Fv / Fm) values ​​of PSII for 'Red Agate', 'Super Group No. 9', 'Little Magpie', 'Pink Baby', 'Wedding Banquet', 'Golden Armor', and 'Chocolate' were 0.719, 0.704, 0.683, 0.687, 0.689, and 0.714, respectively. The maximum photochemical efficiency (Fv / Fm) of PSII for leaves of 'Red Agate', 'Super Group No. 9', and 'Chocolate' were all greater than 0.7, indicating that under low temperature conditions, the PSII of these Phalaenopsis orchid leaves suffered less damage and the leaves had better low-temperature tolerance.

[0060] After different varieties of Phalaenopsis orchids were treated at 10℃, the cold tolerance index of the flowers and the in-situ real-time photosynthetic phenotypic imaging system under multiple environmental regulation were used to detect the cold tolerance of the introduced Phalaenopsis orchid varieties 'Red Agate', 'Wedding Banquet', 'Chocolate', 'Golden Armor' and 'Pink Baby' under low temperature conditions. The results showed that the flowers and leaves of the introduced Phalaenopsis orchid varieties 'Red Agate', 'Wedding Banquet', 'Chocolate', 'Golden Armor' and 'Pink Baby' had good cold tolerance under low temperature conditions.

[0061] The third implementation method:

[0062] Components that are the same as or corresponding to those in the first embodiment are referred to using the same reference numerals as those in the first embodiment. For simplicity, only the differences between this third embodiment and the first embodiment are described below. The difference between this third embodiment and the first embodiment is that:

[0063] In step S1 of this embodiment, two Phalaenopsis orchid varieties, 'Wedding Banquet' and 'Amma', are selected for a 10°C low-temperature test.

[0064] Among them, 'Wedding Banquet' is more tolerant to low temperatures, while 'Ama' is sensitive to low temperatures. Under low temperature conditions of 10℃, the characteristics of chlorophyll fluorescence parameters of the two Phalaenopsis orchid varieties changing with low temperature time were detected by a multi-environmental-controlled in-situ real-time photosynthetic phenotypic imaging system.

[0065] like Figure 5 The results show that with the duration of chilling injury (0d, 7d, 14d, and 21d), the chilling injury to both Phalaenopsis orchid varieties became increasingly severe, and the maximum PSII photochemical efficiency (Fv / Fm) of the leaves gradually decreased. Before treatment (0d), there was no difference in the maximum PSII photochemical efficiency (Fv / Fm) of the two Phalaenopsis orchid varieties. After treatment at 10℃ for 7d, 14d, and 21d, the more cold-resistant 'Wedding Banquet' had a significantly higher maximum PSII photochemical efficiency (Fv / Fm) than the cold-sensitive 'Ama' variety during the same period. Under low-temperature stress, the maximum PSII photochemical efficiency (Fv / Fm) of Phalaenopsis orchid leaves is consistent with the cold tolerance of Phalaenopsis orchids.

[0066] Fifth implementation method:

[0067] Components that are the same as or corresponding to those in the first embodiment are referred to using the same reference numerals as those in the first embodiment. For simplicity, only the differences between this second embodiment and the first embodiment are described below. The difference between this second embodiment and the first embodiment is as follows:

[0068] Figures 6-9 This invention illustrates a multi-environment-controlled in-situ real-time photosynthetic phenotypic imaging system, which is installed in a laboratory and specifically includes:

[0069] The environmental control module is used to control the light intensity, spectral distribution, temperature, humidity, and carbon dioxide concentration in the laboratory.

[0070] An information acquisition module is used to capture images of plant leaf surfaces and reflectance spectral data. The information acquisition module is connected to an optical imaging device and a chlorophyll fluorescence detector. The optical imaging device specifically includes a high-resolution camera, a spectrometer, and an optical lens.

[0071] The data analysis module integrates image processing and data analysis algorithms. Through image processing and data analysis, it identifies leaf outlines, extracts fluorescence parameters, calculates photosynthetic rates and the average value and trend of PSII maximum photochemical efficiency for each plant variety, and generates data reports.

[0072] The acquisition control module is connected to an automated moving platform, which is used to adjust the position of the optical imaging device to the position of each leaf of the plant, so as to realize continuous scanning and imaging of multiple plants or different parts of the same plant.

[0073] The automated mobile platform includes an electric guide rail assembly and a displacement sensor. The electric guide rail assembly includes a horizontal guide rail and a longitudinal guide rail. The electric guide rail assembly is used to drive the auxiliary acquisition structure, which is equipped with an optical imaging device, to move smoothly in the horizontal or longitudinal direction, so that the optical imaging device can be accurately positioned above the target plant leaf. Then, the auxiliary acquisition structure adjusts the optical imaging device to get closer to the plant leaf for information acquisition.

[0074] The auxiliary acquisition structure includes an electric push rod installed at the movable end of an electric guide rail. A base 1 is installed at the movable end of the electric push rod. A detector body 2 is connected to the base 1 via a motor. A nozzle 3 is installed on the detector body 2. A detection ring 4 is sleeved on the nozzle 3. An electric telescopic rod is connected between the detection ring 4 and the detector body 2. The input end of the nozzle 3 is connected to the air supply equipment via a corrugated air pipe.

[0075] The detector body 2 integrates a data acquisition unit that is connected to the information acquisition module. Both the optical imaging device and the chlorophyll fluorescence detector are connected to the data acquisition unit.

[0076] The optical imaging device and the chlorophyll fluorescence detector are both integrated on the detection ring 4. When the detection ring 4 is detected, it is driven to move by the electric telescopic rod until its surface is level with the outlet end of the detector body 2.

[0077] When collecting information data of Phalaenopsis flowers in S3, first move the auxiliary collection structure and adjust the motor to make the outlet end of the nozzle 3 face the leaf to be collected and hold the leaf. During the movement, the nozzle 3 can be controlled to spray air, so that the stacked leaves are blown apart by the airflow, or the airflow can be used to clean the debris on the leaf surface.

[0078] When the leaf is collected and the nozzle 3 is tilted and separated from other leaves, the electric telescopic rod is controlled to move the detection ring 4 forward to fit against the leaf for image acquisition and chlorophyll fluorescence data acquisition.

[0079] This implementation method facilitates the automated acquisition of blade data. During the acquisition process, an auxiliary acquisition structure ensures that the blade is quickly isolated from other blades, which facilitates the rapid automated acquisition of information from individual blades.

[0080] In summary, this method enables rapid and continuous detection of chlorophyll fluorescence in Phalaenopsis orchid leaves, shortening the detection cycle. Through automated data acquisition and processing, it reduces human error and improves the accuracy of detection results. It can be applied to the cold tolerance identification of various Phalaenopsis orchid varieties, providing a scientific basis for Phalaenopsis orchid breeding and cultivation management.

[0081] In light of current practical needs, the above-described embodiments adopted in this application are not limited to these. Any changes made within the scope of knowledge possessed by those skilled in the art without departing from the concept of this application still fall within the protection scope of this invention.

Claims

1. A method for identifying cold tolerance of Phalaenopsis by a real-time photosynthetic phenotyping imaging system, characterized by: Specifically comprising the following steps: S1. Selecting multiple Phalaenopsis varieties for cold tolerance test, and selecting 4 plants for each variety for low temperature cold damage treatment; S2. Placing the test Phalaenopsis varieties in an environment of 10℃, relative humidity of 70%-80%, light time of 10h / 14h for day / night, and white day light intensity of 160μmol·m⁻²·s⁻¹, and cooperating with a multi-environment regulation in-situ real-time photosynthetic phenotyping system for test treatment, and ensuring that the plant substrate is moist and the water content is uniform to make the plants grow uniformly; S3. Collecting Phalaenopsis flower information data at four treatment time points, the treatment time points including 0 days, 7 days, 14 days and 21 days, and calculating the cold tolerance index of each Phalaenopsis flower; the information data including chlorophyll fluorescence data, the number of open Phalaenopsis flowers, the number of open flower drop, the total number of flower buds and the number of flower bud drop; The cold tolerance index is determined by the following formula: Rc=1-( FC+BC ) / ( F0+ B0); Wherein F0 is the number of open Phalaenopsis flowers, FC is the number of open flower drop or closure, B0 is the total number of flower buds, and BC is the number of flower drop or yellow flower; S4. According to the detected chlorophyll fluorescence data, the PSII maximum photochemical efficiency is calculated, and the Phalaenopsis varieties ready for rating are pre-screened based on the preset standard; S5. According to the collected number of open Phalaenopsis flowers, the number of open flower drop, the total number of flower buds and the number of flower bud drop, the cold tolerance index of the screened Phalaenopsis flower varieties in the last step is calculated; S6. According to the cold tolerance evaluation result, the Phalaenopsis variety with better cold tolerance is screened.

2. The method for identifying cold tolerance of Phalaenopsis by real-time photosynthetic phenotyping imaging system according to claim 1, characterized in that: The preset standard of S4 is that the leaf PSII maximum photochemical efficiency is greater than 0.

7.

3. A multi-environment-controlled in-situ real-time photosynthetic phenotypic imaging system applied to the method of claim 1, wherein the system is installed in a laboratory, characterized in that: The system comprises; An environment regulation module for regulating the light intensity, spectral distribution, temperature, humidity and carbon dioxide concentration in the laboratory; An information acquisition module for capturing plant leaf surface images and reflectance spectrum data, the information acquisition module being connected with an optical imaging device and a chlorophyll fluorescence detector, the optical imaging device specifically comprising a high-resolution camera, a spectrometer and an optical lens; A data analysis module integrating image processing and data analysis algorithms, which identifies leaf contours, extracts fluorescence parameters, calculates photosynthetic rates and the average value and variation trend of the PSII maximum photochemical efficiency of each variety of plants, and generates a data report; An acquisition control module connected with an automatic moving platform, the automatic moving platform being used to adjust the position of the optical imaging device to the position of each leaf of the plant, realizing continuous scanning and imaging of multiple plants or different parts of the same plant.

4. The multi-environmental controlled in-situ real-time photosynthetic phenotyping imaging system according to claim 3, wherein: The automatic moving platform comprises an electric guide rail set and a displacement sensor; the electric guide rail set comprises a horizontal guide rail and a longitudinal guide rail, and is used to drive an auxiliary acquisition structure installed with the optical imaging device to move smoothly along the horizontal or longitudinal direction, so that the optical imaging device can be accurately positioned above the target plant leaf, and then the optical imaging device is adjusted by the auxiliary acquisition structure to approach the plant leaf for information acquisition.

5. The multi-environmental controlled in-situ real-time photosynthetic phenotyping imaging system according to claim 4, wherein: The auxiliary collecting structure comprises an electric push rod mounted on the movable end of the electric guide rail, a base (1) is mounted on the movable end of the electric push rod, a detector main body (2) is rotatably connected to the base (1) through an electric motor, a spray pipe (3) is mounted on the detector main body (2), a detection ring (4) is sleeved on the spray pipe (3), and an electric telescopic rod is connected between the detection ring (4) and the detector main body (2).

6. The multi-environmental controlled in-situ real-time photosynthetic phenotyping imaging system according to claim 5, wherein: The optical imaging device and the chlorophyll fluorescence detector are both integrated on the detection ring (4), and when the detection ring (4) is detected, the detection ring (4) is driven to displace by the electric telescopic rod until the surface of the detection ring (4) is horizontal with the outlet end of the detector main body (2).

7. The multi-environmental controlled in-situ real-time photosynthetic phenotyping imaging system according to claim 6, wherein: The detector main body (2) is integrated with a data acquisition unit which is signal-connected with an information acquisition module, and the optical imaging device and the chlorophyll fluorescence detector are both signal-connected with the data acquisition unit.

Images