Plant stress identification system and method integrating canopy fluorescence and reflectance spectral features

Abstract

The present invention relates to the field of pattern recognition technology, and in particular to a plant stress identification system and method that integrates canopy fluorescence and reflection spectrum features, a dynamic excitation light source detects whether the historical stress identification position of the area to be identified is greater than the first risk distance from the position to be identified, a decision is made on whether the dynamic excitation light source triggers a strong risk identification state or a low risk identification state to control the triggering of a fluorescence detector, polls the first chlorophyll fluorescence information in the area to be identified, and obtains the identification stress type in the area to be identified; based on the identification stress type, randomly obtains the plant POI in the first chlorophyll fluorescence information, obtains the stress fluorescence record to determine whether it has been subjected to stress, collects the reflection spectrum, queries multiple stress identification data tables based on deviations from normal values, and adjusts the luminous intensity and angle of the dynamic excitation light source for stress identification. The present invention obtains the physiological state information of the plant by analyzing the plant reflection spectrum, and accurately determines whether the plant is in a stress state and the type of stress.

Description

Technical Field

[0001] The present invention relates to the technical field of pattern recognition, and in particular to a plant stress recognition system and method integrating canopy fluorescence and reflection spectrum characteristics. Background Art

[0002] Plant stress refers to various environmental factors that have an adverse effect on plant growth and development. These factors interfere with the normal physiological and biochemical processes of plants, resulting in stunted plant growth, reduced yields, and even death. Plant stress can be divided into biotic stress and abiotic stress. Biological stress is mainly caused by biological factors, such as pests and diseases (fungi, bacteria, viral infections, insect gnawing, etc.). For example, when plants are infected with fungi, fungi may grow and reproduce in plant tissues, destroy the cell structure of plants, and affect plant photosynthesis and nutrient absorption. Abiotic stress includes drought, salinity, extreme temperatures (high or low temperatures), heavy metal pollution, etc. When plants are stressed, the light reaction process of photosynthesis will be affected, thereby changing the chlorophyll fluorescence characteristics. When plants are stressed, the reflectivity of the near-infrared band will also decrease, and the reflectivity of the visible light band may change. Therefore, by analyzing these chlorophyll fluorescence parameters and reflectance spectrum indices, it is possible to identify whether the plant is under stress and the type of stress.

[0003] Plant reflectance spectrum refers to the curve of the intensity of reflected light changing with wavelength when plants are irradiated with electromagnetic radiation of different wavelengths (mainly visible light and near-infrared light). It is an important optical property of plants, reflecting a lot of information such as physiological and biochemical characteristics of plants. By analyzing plant reflectance spectrum, we can obtain information about the physiological state of plants. Plant reflectance spectrum has a wide range of applications in the fields of plant growth monitoring, plant growth pest and disease stress, etc., but the existing technology cannot accurately determine whether the plant is in a state of stress and the type of stress. Summary of the invention

[0004] To achieve the above object, the present invention provides the following technical solutions:

[0005] According to a first aspect of the present invention, the present invention claims a method for identifying plant stress by integrating canopy fluorescence and reflectance spectral features, comprising:

[0006] The dynamic excitation light source detects whether the historical duress identification position of the area to be identified is greater than a first risk distance from the position to be identified. When it is greater than the first risk distance, the dynamic excitation light source triggers a strong risk identification state; when it is not greater than the first risk distance, the dynamic excitation light source triggers a low risk identification state;

[0007] When the dynamic excitation light source triggers a strong risk identification state, the dynamic excitation light source suspends the auxiliary function, triggers the fluorescence detector, polls the first chlorophyll fluorescence information in the area to be identified, and obtains the identification stress type in the area to be identified;

[0008] When the dynamic excitation light source triggers a low-risk identification state, triggering the auxiliary function;

[0009] Based on the identified stress type, randomly obtaining a plant POI in the first chlorophyll fluorescence information, and obtaining a stress fluorescence record of the plant POI;

[0010] When the stress fluorescence record shows that the plant POI has suffered stress, the dynamic excitation light source acquires the reflectance spectrum of the plant POI;

[0011] When the stress fluorescence record shows that the plant POI is not under stress, the dynamic excitation light source triggers a low-risk identification state;

[0012] When the reflectance spectrum of the plant POI deviates from the normal value by more than a first upper limit value, the dynamic excitation light source triggers a multiple identification state, triggering a plurality of stress identification data tables corresponding to the reflectance spectrum of the plant POI and the stress fluorescence record;

[0013] When the reflectance spectrum of the plant POI deviates from the normal value by no more than a first upper limit value, the dynamic excitation light source triggers a serial recognition state, triggering a stress recognition data table corresponding to the stress fluorescence record;

[0014] According to the corresponding stress identification data table, the luminous intensity and angle of the dynamic excitation light source are adjusted to perform stress identification on the plants and culture layers in the area to be identified.

[0015] Furthermore, when the dynamic excitation light source triggers a strong risk identification state, the dynamic excitation light source suspends the auxiliary function, triggers the fluorescence detector, polls the first chlorophyll fluorescence information in the area to be identified, and obtains the identification stress type in the area to be identified, specifically including:

[0016] When the dynamic excitation light source triggers a strong risk identification state, the auxiliary function is suspended, and the dynamic excitation light source only allows the first management server to issue management instructions;

[0017] The first management server sends a strong risk identification instruction to the dynamic excitation light source, and the dynamic excitation light source triggers the configured fluorescence detector according to the strong risk identification instruction;

[0018] The dynamic excitation light source polls the area to be identified, captures fluorescence information of chlorophyll in the area to be identified, and obtains a plurality of first chlorophyll fluorescence information;

[0019] Identifying the plant type in the first chlorophyll fluorescence information, and when the number of plant types in the first chlorophyll fluorescence information is 1, determining that the plant type in the chlorophyll remote sensing is an identified stress type;

[0020] When the number of plant types in the first chlorophyll fluorescence information is not 1, the percentage ratio of various plants in the first chlorophyll fluorescence information is determined, and the plant type with the highest percentage is used as the plant identification stress type.

[0021] Furthermore, the method further comprises:

[0022] The step of randomly acquiring a plant POI in the first chlorophyll fluorescence information based on the identified stress type, and acquiring a stress fluorescence record of the plant POI, further comprises:

[0023] According to the identified stress type, randomly selecting a chlorophyll area of ​​a preset area in the area to be identified as a plant POI;

[0024] The dynamic excitation light source uses a fluorescence detector to obtain the second chlorophyll fluorescence information of the plant of the plant POI;

[0025] According to the identified stress type, and according to the corresponding priority, obtaining different plant light sources in the second chlorophyll fluorescence information;

[0026] When the second chlorophyll fluorescence information matches a preset stress candidate fluorescence database, it is determined that the second chlorophyll fluorescence information is under stress;

[0027] When the second chlorophyll fluorescence information does not match the preset stress candidate fluorescence database, it is determined that there is no stress in the second chlorophyll fluorescence information.

[0028] Further, the method comprises:

[0029] When the stress fluorescence record shows that the plant POI has suffered stress, the dynamic excitation light source acquires the reflection spectrum of the plant POI; when the reflection spectrum of the plant POI deviates from the normal value by more than a first upper limit, the dynamic excitation light source triggers a multiple identification state, triggering a plurality of stress identification data tables corresponding to the reflection spectrum of the plant POI and the stress fluorescence record; when the reflection spectrum of the plant POI deviates from the normal value by no more than a first upper limit, the dynamic excitation light source triggers a serial identification state, triggering a stress identification data table corresponding to the stress fluorescence record, including:

[0030] When the stress fluorescence record shows that the plant POI has suffered stress, the dynamic excitation light source triggers the reflectance spectrum measuring device;

[0031] The dynamic excitation light source obtains the reflection spectrum of the plant POI, and compares the reflection spectrum of the plant POI with a normal reflection spectrum index. When the compared record determines that the reflection spectrum of the plant POI deviates from the normal reflection spectrum index by more than a first upper limit value, it is determined that the culture layer of the area to be identified is abnormal; otherwise, it is determined that the culture layer of the area to be identified is normal;

[0032] When it is determined that the culture layer of the area to be identified is abnormal, the dynamic excitation light source triggers a multiple identification state, triggering at least two stress identification data tables corresponding to the reflectance spectrum of the plant POI and the stress fluorescence record respectively;

[0033] When it is determined that the culture layer of the area to be identified is normal, the dynamic excitation light source triggers a serial identification state, and only triggers a stress identification data table corresponding to the stress fluorescence record.

[0034] Further, the method comprises:

[0035] The step of adjusting the luminous intensity and angle of the dynamic excitation light source according to the corresponding stress identification data table to perform stress identification on the plants and culture layers in the area to be identified further includes:

[0036] When at least two duress recognition data tables are triggered, the luminous angle of the dynamic excitation light source is adjusted to emit light close to the ground and the obstacle avoidance function of the dynamic excitation light source is triggered, and the luminous intensity of the dynamic excitation light source is set to slow;

[0037] Managing the dynamic excitation light source to perform corresponding stress identification on the culture layer of the area to be identified;

[0038] Adjust the luminous angle of the dynamic excitation light source to be higher than the angle of the plant, suspend the obstacle avoidance function of the dynamic excitation light source, and set the luminous intensity of the dynamic excitation light source to medium intensity or high intensity according to the irradiation area detected by the dynamic excitation light source;

[0039] Managing the dynamic excitation light source to perform corresponding stress identification on the plants in the area to be identified;

[0040] When only one stress identification data table is triggered, the luminous angle of the dynamic excitation light source is adjusted to be higher than the plant angle, and the obstacle avoidance function of the dynamic excitation light source is suspended, and the luminous intensity of the dynamic excitation light source is set to medium intensity or high intensity according to the irradiation area detected by the dynamic excitation light source;

[0041] The dynamic excitation light source is managed to perform corresponding stress identification on the plants in the area to be identified.

[0042] According to a second aspect of the present invention, the present invention claims protection for a plant stress identification system integrating canopy fluorescence and reflectance spectrum characteristics, comprising a dynamic excitation light source and a plurality of management servers, characterized in that the dynamic excitation light source has at least a fluorescence detector, a reflectance spectrum measuring device, an irradiation area sensor, and a plurality of stress identification data tables;

[0043] The management server sends an identification instruction to the dynamic excitation light source;

[0044] The dynamic excitation light source stress identification management system is used to execute the plant stress identification method that integrates canopy fluorescence and reflectance spectrum characteristics.

[0045] The present invention relates to the field of pattern recognition technology, and in particular to a plant stress identification system and method that integrates canopy fluorescence and reflection spectrum features, a dynamic excitation light source detects whether the historical stress identification position of the area to be identified is greater than the first risk distance from the position to be identified, a decision is made on whether the dynamic excitation light source triggers a strong risk identification state or a low risk identification state to control the triggering of a fluorescence detector, polls the first chlorophyll fluorescence information in the area to be identified, and obtains the identification stress type in the area to be identified; based on the identification stress type, randomly obtains the plant POI in the first chlorophyll fluorescence information, obtains the stress fluorescence record to determine whether it has been subjected to stress, collects the reflection spectrum, queries multiple stress identification data tables based on deviations from normal values, and adjusts the luminous intensity and angle of the dynamic excitation light source for stress identification. The present invention obtains the physiological state information of the plant by analyzing the plant reflection spectrum, and accurately determines whether the plant is in a stress state and the type of stress. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1 A flowchart of a plant stress identification method integrating canopy fluorescence and reflectance spectrum characteristics claimed in an embodiment of the present invention;

[0047] Figure 2 A second working flow chart of the plant stress identification method integrating canopy fluorescence and reflectance spectrum characteristics claimed in the embodiment of the present invention;

[0048] Figure 3 A third working flow chart of the plant stress identification method integrating canopy fluorescence and reflectance spectrum characteristics claimed in the embodiment of the present invention;

[0049] Figure 4 This is a fourth workflow diagram of the plant stress identification method that integrates canopy fluorescence and reflectance spectral features claimed in an embodiment of the present invention. DETAILED DESCRIPTION

[0050] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. 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 creative work belong to the plants protected by the present invention.

[0051] The terms "first", "second" and "third" in the present invention are only used for descriptive purposes and cannot be understood as indicating or implying relative importance or implicitly indicating the number of indicated technical features. Therefore, the features defined as "first", "second" and "third" may explicitly or implicitly include at least one of the features. In the description of the present invention, the meaning of "multiple" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined. All directional indications (such as up, down, left, right, front, back...) in the embodiments of the present invention are only used to explain the relative position relationship, movement, etc. between the components under a certain specific posture (as shown in the accompanying drawings). If the specific posture changes, the directional indication also changes accordingly. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but optionally also includes steps or units that are not listed, or optionally also includes other steps or units inherent to these processes, methods, products or devices.

[0052] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present invention. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it a serial or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0053] The present invention integrates canopy fluorescence and reflectance spectrum characteristics to identify plant stress. Plant canopy fluorescence refers to the electromagnetic radiation emitted by the plant canopy (the uppermost part of the plant consisting of leaves, branches, etc.) in the form of fluorescence after absorbing solar radiation energy. It is a natural luminescence phenomenon in the photosynthetic physiological process of plants and is closely related to the photosynthesis of plants. Healthy plants with high photosynthesis efficiency can effectively utilize the absorbed light energy, and the fluorescence emission is relatively weak. When plants are subjected to environmental stress, such as drought, high temperature, nutrient deficiency, etc., photosynthesis is inhibited, the efficiency of light energy utilization is reduced, and the fluorescence emission will be enhanced.

[0054] According to the first embodiment of the present invention, referring to Figure 1-4The present invention provides a plant stress identification method integrating canopy fluorescence and reflectance spectrum features, comprising:

[0055] The dynamic excitation light source detects whether the historical coercion identification position of the area to be identified and the position to be identified are greater than a first risk distance. When greater than the first risk distance, the dynamic excitation light source triggers a strong risk identification state; when not greater than the first risk distance, the dynamic excitation light source triggers a low risk identification state;

[0056] When the dynamic excitation light source triggers a strong risk identification state, the dynamic excitation light source suspends the auxiliary function, triggers the fluorescence detector, polls the first chlorophyll fluorescence information in the area to be identified, and obtains the identification stress type in the area to be identified;

[0057] When the dynamic excitation light source triggers the low-risk recognition state, the auxiliary function is triggered;

[0058] Based on the identified stress type, randomly obtain the plant POI in the first chlorophyll fluorescence information, and obtain the stress fluorescence record of the plant POI;

[0059] When the stress fluorescence record shows that the plant POI has been stressed, the reflectance spectrum of the plant POI is obtained by the dynamic excitation light source;

[0060] When the stress fluorescence recording shows that the plant POI is not under stress, the dynamic excitation light source triggers the low-risk identification state;

[0061] When the reflectance spectrum of the plant POI deviates from the normal value by more than a first upper limit value, the dynamic excitation light source triggers a multiple identification state, triggering a plurality of stress identification data tables corresponding to the reflectance spectrum and stress fluorescence records of the plant POI;

[0062] When the reflectance spectrum of the plant POI deviates from the normal value by no more than the first upper limit value, the dynamic excitation light source triggers the serial recognition state, triggering the stress recognition data table corresponding to the stress fluorescence record;

[0063] According to the corresponding stress identification data table, the luminous intensity and angle of the dynamic excitation light source are adjusted to perform stress identification on the plants and culture layers in the identification area.

[0064] Among them, this embodiment is suitable for plants on a large area of ​​land in a certain planting area, and a comparative analysis of plants in each area, such as the similarities and differences in the stress conditions of plants in different positions in a piece of farmland, is helpful for the subsequent differentiated treatment of different farmland areas and better improve the farmland output rate.

[0065] The historical stress identification location is the plant area where stress has been found in the past. Since the stress has already accumulated at this location, there is no need to conduct too much strong stress monitoring for nearby areas;

[0066] For planting areas that are farther away, due to the possibility of dispersed stress, it is more reasonable to emphasize higher stress monitoring for locations farther away from the monitored stress location areas.

[0067] When setting the first risk distance, it is set according to the total area of ​​the planting area.

[0068] When strong monitoring intensity is used, the auxiliary function of the light source is dynamically stimulated to pause. The auxiliary function is an auxiliary correction means for the light source after emitting light, such as adjusting the light's attribute characteristics such as color, irradiation frequency, and irradiation area. Due to strong monitoring intensity, the light intensity is high and the monitoring purpose is clear. Therefore, turning off the auxiliary function that mainly adjusts the details can save resources.

[0069] When the dynamic excitation light source triggers the low-risk identification state, the auxiliary function is triggered. This is mainly because in this scenario, the light intensity is weak and the monitoring purpose is unclear. Therefore, it is necessary to turn on the auxiliary function of adjusting the details.

[0070] The culture layer includes soil for soil culture or water for hydroponic culture.

[0071] Furthermore, when the dynamic excitation light source triggers a strong risk identification state, the dynamic excitation light source suspends the auxiliary function, triggers the fluorescence detector, polls the first chlorophyll fluorescence information in the area to be identified, and obtains the identification stress type in the area to be identified, specifically including:

[0072] When the dynamic excitation light source triggers a strong risk identification state, the auxiliary function is suspended, and the dynamic excitation light source only allows the first management server to issue management instructions;

[0073] The first management server sends a strong risk identification instruction to the dynamic excitation light source, and the dynamic excitation light source triggers the configured fluorescence detector according to the strong risk identification instruction;

[0074] The dynamic excitation light source polls the area to be identified, captures the fluorescence information of the chlorophyll in the area to be identified, and obtains a plurality of first chlorophyll fluorescence information;

[0075] Identify the plant type in the first chlorophyll fluorescence information, and when the number of plant types in the first chlorophyll fluorescence information is 1, determine that the plant type in the chlorophyll remote sensing is an identified stress type;

[0076] When the number of plant types in the first chlorophyll fluorescence information is not 1, the percentage ratios of various plants in the first chlorophyll fluorescence information are determined, and the plant type with the highest percentage is used as the plant identification stress type.

[0077] The dynamic excitation light source further detects the specific type of the input sample of the first chlorophyll fluorescence information, thereby determining the specific type of the input sample of the first chlorophyll fluorescence information. In some embodiments, the detection of the specific type of an input sample of a first chlorophyll fluorescence information can be determined based on the specific type corresponding to the pixels in a certain adjacent area around the input sample of the first chlorophyll fluorescence information. For example, the dynamic excitation light source determines an area with the input sample of the first chlorophyll fluorescence information as the center, and uses the specific type of pixel cumulative area with the largest proportion among the various specific types of pixel cumulative areas in the area as the specific type of the input sample of the first chlorophyll fluorescence information for subsequent processing, such as for detecting the type of plant. Furthermore, based on the identification of the stress type, the plant POI in the first chlorophyll fluorescence information is randomly obtained, and the stress fluorescence record of the plant POI is obtained, which also includes:

[0078] According to the type of stress to be identified, a chlorophyll area of ​​a preset area is randomly selected in the area to be identified as a plant POI;

[0079] The dynamic excitation light source uses a fluorescence detector to obtain the second chlorophyll fluorescence information of the plant at the plant POI;

[0080] According to the identified stress type, different plant light sources in the second chlorophyll fluorescence information are obtained according to the corresponding priority;

[0081] When the second chlorophyll fluorescence information matches the preset stress candidate fluorescence database, it is determined that the second chlorophyll fluorescence information is under stress;

[0082] When the second chlorophyll fluorescence information does not match the preset stress candidate fluorescence database, it is determined that there is no stress in the second chlorophyll fluorescence information.

[0083] In the stress matching process, several stress fluorescences are first selected from each class as stress candidate fluorescences, and the remaining stress fluorescences are used as verification samples. The specific process is to select the first n stress fluorescences of each class as stress candidate fluorescences, where n takes values ​​from 1 to 5, and all other stress fluorescences are used as verification samples accordingly. Since the total number of stress fluorescences of each disease in the stress library used in the process is 5, the number of stress candidate fluorescences n of each class in the stress library is 1 to 4. All stress candidate fluorescences constitute the stress candidate fluorescence database, and the verification samples constitute the verification sample library. For each verification sample in the verification stress library, calculate its matching score with each stress candidate fluorescence in the stress candidate fluorescence database. And take the category information of the stress candidate fluorescence with the smallest matching score with the verification sample as the class to which the verification sample belongs. Then compare the estimated category of the verification sample with the true category information, and calculate the corresponding stress recognition error rate.

[0084] Wherein, according to the identified stress type and the corresponding priority, different plant light sources in the second chlorophyll fluorescence information are obtained, specifically including:

[0085] The light sources in the preset fluorescence include natural light, infrared light, and ultraviolet light. Different plants have different light sources for industrial and agricultural purposes according to the type of stress, and the importance priority of different light sources for different types of plants is set;

[0086] When the stress is of abiotic stress type, the importance priority sets natural light as the highest priority, and the priority of obtaining different plant light sources in the second chlorophyll fluorescence information is to obtain the fluorescence of natural light sources first;

[0087] When the stress is of biological stress type, the infrared of biological stress is called an important factor in stress identification. When the importance priority is set to infrared as the highest priority, the priority of obtaining different plant light sources in the second chlorophyll fluorescence information is to obtain infrared light source fluorescence first;

[0088] When the stress is of uncertain type, when the importance priority sets the ultraviolet light as the highest priority, the priority of obtaining different plant light sources in the second chlorophyll fluorescence information is to obtain the ultraviolet light source fluorescence first;

[0089] After obtaining the second chlorophyll fluorescence information of the plant at the plant POI, the information of the key input sample of the stress fluorescence may be adjusted accordingly.

[0090] Further, when the stress fluorescence record shows that the plant POI has suffered stress, the dynamic excitation light source obtains the reflection spectrum of the plant POI; when the reflection spectrum of the plant POI deviates from the normal value by more than the first upper limit value, the dynamic excitation light source triggers a multiple identification state, triggering multiple stress identification data tables corresponding to the reflection spectrum of the plant POI and the stress fluorescence record; when the reflection spectrum of the plant POI deviates from the normal value by no more than the first upper limit value, the dynamic excitation light source triggers a serial identification state, triggering a stress identification data table corresponding to the stress fluorescence record, including:

[0091] When the stress fluorescence record shows that the plant POI has suffered stress, the dynamic excitation light source triggers the reflectance spectrum measurement device;

[0092] The dynamic excitation light source obtains the reflection spectrum of the plant POI, and compares the reflection spectrum of the plant POI with the normal reflection spectrum index. When the compared record determines that the reflection spectrum of the plant POI deviates from the normal reflection spectrum index by more than a first upper limit value, it is determined that the culture layer of the area to be identified is abnormal; otherwise, it is determined that the culture layer of the area to be identified is normal;

[0093] When it is determined that the culture layer of the area to be identified is abnormal, the dynamic excitation light source triggers a multiple identification state, triggering at least two stress identification data tables corresponding to the reflectance spectrum and stress fluorescence records of the plant POI respectively;

[0094] When it is determined that the culture layer of the area to be identified is normal, the dynamic excitation light source triggers the serial identification state, and only triggers one stress identification data table corresponding to the stress fluorescence record.

[0095] Further, according to the corresponding stress identification data table, the luminous intensity and angle of the dynamic excitation light source are adjusted to perform stress identification on the plants and culture layers in the identification area, and further comprising:

[0096] When at least two duress recognition data tables are triggered, the luminous angle of the dynamic excitation light source is adjusted to near-ground luminous intensity and the obstacle avoidance function of the dynamic excitation light source is triggered, and the luminous intensity of the dynamic excitation light source is set to slow;

[0097] Managing the dynamic excitation light source to identify the corresponding stress of the culture layer in the area to be identified;

[0098] Adjust the luminous angle of the dynamic excitation light source to be higher than the angle of the plant, and suspend the obstacle avoidance function of the dynamic excitation light source. Set the luminous intensity of the dynamic excitation light source to medium intensity or high intensity according to the irradiation area detected by the dynamic excitation light source;

[0099] Managing the dynamic excitation light source to identify the corresponding stress of the plants in the area to be identified;

[0100] When only one stress recognition data table is triggered, the luminous angle of the dynamic excitation light source is adjusted to be higher than the angle of the plant, and the obstacle avoidance function of the dynamic excitation light source is suspended. According to the irradiation area detected by the dynamic excitation light source, the luminous intensity of the dynamic excitation light source is set to medium intensity or high intensity;

[0101] A dynamic excitation light source is managed close to the ground to identify the corresponding stress on the plants in the area to be identified.

[0102] Specifically, when the dynamic excitation light source triggers a low-risk identification state, when the auxiliary function is triggered, users with common stress identification needs are allowed to assist the dynamic excitation light source to improve the efficiency of chlorophyll stress identification.

[0103] The first management server and the second management server are both installed with an application capable of managing the dynamic excitation light source, and the application is bound to the ownership relationship between the dynamic excitation light source and the first management server;

[0104] The first management server and the second management server set the first dynamic excitation light source low-risk identification plant and the second dynamic excitation light source low-risk identification plant belonging to the first management server and the second management server in the application, and set the first stress type and the second stress type belonging to the first management server and the second management server;

[0105] The first management server performs instruction management on the dynamic excitation light source;

[0106] When the dynamic excitation light source triggers the auxiliary function, the corresponding dynamic excitation light source triggers the radar module to detect other management servers within the preset area of ​​the plant;

[0107] When it is detected that the second dynamic excitation light source low-risk identification plant of the second management server is located within the preset area of ​​the first dynamic excitation light source low-risk identification plant and the similarity between the second stress type of the second management server and the first stress type of the first management server meets the preset condition, the dynamic excitation light source identifies the second management server as another management server and sends an auxiliary invitation message to the second management server;

[0108] The second management server selects whether to accept the auxiliary invitation information. When the auxiliary invitation information is accepted, the second management server feeds back an invitation acceptance signal to the dynamic excitation light source;

[0109] When the auxiliary invitation information is not accepted, the dynamic excitation light source continues to detect other management servers within the preset area of ​​the plant;

[0110] After receiving the consent invitation signal, the dynamic excitation light source sends an auxiliary request instruction to the first management server, where the auxiliary request instruction includes attribute information of the second management server and low-risk identification plant information of the second dynamic excitation light source;

[0111] The first management server sets the auxiliary position of the dynamic excitation light source according to the auxiliary request instruction, forms an auxiliary consent instruction, and sends it to the dynamic excitation light source;

[0112] After the dynamic excitation light source receives the auxiliary request instruction, the dynamic excitation light source goes to the second dynamic excitation light source to low-risk identify plant information for stress identification.

[0113] According to the second embodiment of the present invention, the present invention also claims a plant stress identification system integrating canopy fluorescence and reflection spectrum characteristics, including a dynamic excitation light source and multiple management servers, the dynamic excitation light source having at least a fluorescence detector, a reflection spectrum measuring device, an irradiation area sensor, and multiple stress identification data tables;

[0114] The management server sends an identification instruction to the dynamic excitation light source;

[0115] The dynamic excitation light source detects whether the historical coercion identification position of the area to be identified and the position to be identified are greater than the first risk distance according to the identification instruction. When it is greater than the first risk distance, the dynamic excitation light source triggers a strong risk identification state. When it is not greater than the first risk distance, the dynamic excitation light source triggers a low risk identification state.

[0116] When the dynamic excitation light source triggers a strong risk identification state, the dynamic excitation light source suspends the auxiliary function, triggers the fluorescence detector, polls the first chlorophyll fluorescence information in the area to be identified, and obtains the identification stress type in the area to be identified;

[0117] When the dynamic excitation light source triggers the low-risk recognition state, the auxiliary function is triggered;

[0118] Based on the identified stress type, randomly obtain the plant POI in the first chlorophyll fluorescence information, and obtain the stress fluorescence record of the plant POI;

[0119] When the stress fluorescence record shows that the plant POI has been stressed, the reflectance spectrum of the plant POI is obtained by the dynamic excitation light source;

[0120] When the stress fluorescence recording shows that the plant POI is not under stress, the dynamic excitation light source triggers the low-risk identification state;

[0121] When the reflectance spectrum of the plant POI deviates from the normal value by more than a first upper limit value, the dynamic excitation light source triggers a multiple identification state, triggering a plurality of stress identification data tables corresponding to the reflectance spectrum and stress fluorescence records of the plant POI;

[0122] When the reflectance spectrum of the plant POI deviates from the normal value by no more than the first upper limit value, the dynamic excitation light source triggers the serial recognition state, triggering the stress recognition data table corresponding to the stress fluorescence record;

[0123] According to the corresponding stress identification data table, the luminous intensity and angle of the dynamic excitation light source are adjusted to perform stress identification on the plants and culture layers in the identification area.

[0124] Furthermore, when the dynamic excitation light source triggers a strong risk identification state, the dynamic excitation light source suspends the auxiliary function, triggers the fluorescence detector, polls the first chlorophyll fluorescence information in the area to be identified, and obtains the identification stress type in the area to be identified, specifically including:

[0125] When the dynamic excitation light source triggers a strong risk identification state, the auxiliary function is suspended, and the dynamic excitation light source only allows the first management server to issue management instructions;

[0126] The first management server sends a strong risk identification instruction to the dynamic excitation light source, and the dynamic excitation light source triggers the configured fluorescence detector according to the strong risk identification instruction;

[0127] The dynamic excitation light source polls the area to be identified, captures the fluorescence information of the chlorophyll in the area to be identified, and obtains a plurality of first chlorophyll fluorescence information;

[0128] Identify the plant type in the first chlorophyll fluorescence information, and when the number of plant types in the first chlorophyll fluorescence information is 1, determine that the plant type in the chlorophyll remote sensing is an identified stress type;

[0129] When the number of plant types in the first chlorophyll fluorescence information is not 1, the percentage ratios of various plants in the first chlorophyll fluorescence information are determined, and the plant type with the highest percentage is used as the plant identification stress type.

[0130] The dynamic excitation light source further detects the specific type of the input sample of the first chlorophyll fluorescence information, thereby determining the specific type of the input sample of the first chlorophyll fluorescence information. In some embodiments, the detection of the specific type of an input sample of the first chlorophyll fluorescence information can be determined based on the specific type corresponding to the pixels in a certain adjacent area around the input sample of the first chlorophyll fluorescence information. For example, the dynamic excitation light source determines an area with the input sample of the first chlorophyll fluorescence information as the center, and uses the specific type of the pixel cumulative area with the largest proportion among the various specific types of pixel cumulative areas in the area as the specific type of the input sample of the first chlorophyll fluorescence information for subsequent processing, such as for detecting the type of plant.

[0131] Further, based on the identification of the stress type, randomly obtaining the plant POI in the first chlorophyll fluorescence information, obtaining the stress fluorescence record of the plant POI, further comprising:

[0132] According to the type of stress to be identified, a chlorophyll area of ​​a preset area is randomly selected in the area to be identified as a plant POI;

[0133] The dynamic excitation light source uses a fluorescence detector to obtain the second chlorophyll fluorescence information of the plant at the plant POI;

[0134] According to the identified stress type, different plant light sources in the second chlorophyll fluorescence information are obtained according to the corresponding priority;

[0135] When the second chlorophyll fluorescence information matches the preset stress candidate fluorescence database, it is determined that the second chlorophyll fluorescence information is under stress;

[0136] When the second chlorophyll fluorescence information does not match the preset stress candidate fluorescence database, it is determined that there is no stress in the second chlorophyll fluorescence information.

[0137] In the stress matching process, several stress fluorescences are first selected from each class as stress candidate fluorescences, and the remaining stress fluorescences are used as verification samples. The specific process is to select the first n stress fluorescences of each class as stress candidate fluorescences, where n takes values ​​from 1 to 5, and all other stress fluorescences are used as verification samples accordingly. Since the total number of stress fluorescences of each disease in the stress library used in the process is 5, the number of stress candidate fluorescences n of each class in the stress library is 1 to 4. All stress candidate fluorescences constitute the stress candidate fluorescence database, and the verification samples constitute the verification sample library. For each verification sample in the verification stress library, calculate its matching score with each stress candidate fluorescence in the stress candidate fluorescence database. And take the category information of the stress candidate fluorescence with the smallest matching score with the verification sample as the class to which the verification sample belongs. Then compare the estimated category of the verification sample with the true category information, and calculate the corresponding stress recognition error rate.

[0138] Wherein, according to the identified stress type and the corresponding priority, different plant light sources in the second chlorophyll fluorescence information are obtained, specifically including:

[0139] The light sources in the preset fluorescence include natural light, infrared light, and ultraviolet light. Different plants have different light sources for industrial and agricultural purposes according to the type of stress, and the importance priority of different light sources for different types of plants is set;

[0140] When the stress is of abiotic stress type, the importance priority sets natural light as the highest priority, and the priority of obtaining different plant light sources in the second chlorophyll fluorescence information is to obtain the fluorescence of natural light sources first;

[0141] When the stress is of biological stress type, the infrared of biological stress is called an important factor in stress identification. When the importance priority is set to infrared as the highest priority, the priority of obtaining different plant light sources in the second chlorophyll fluorescence information is to obtain infrared light source fluorescence first;

[0142] When the stress is of uncertain type, when the importance priority sets the ultraviolet light as the highest priority, the priority of obtaining different plant light sources in the second chlorophyll fluorescence information is to obtain the ultraviolet light source fluorescence first;

[0143] After obtaining the second chlorophyll fluorescence information of the plant at the plant POI, the information of the key input sample of the stress fluorescence may be adjusted accordingly.

[0144] When the corresponding position difference and angle difference of two key input samples are less than the corresponding upper limit value, the two are considered to be matched successfully. In the actual matching process, we calculate the least squares transformation of the feature vectors of the two detail points respectively, and find the best matching combination in the least squares transformation space. After obtaining the best matching key input sample, we can calculate the matching score between the two coerced key input sample vectors:

[0145] ;

[0146] in, represents the total number of matched key input samples, A and B represent the second chlorophyll fluorescence information to be matched and the stress candidate fluorescence in the preset stress candidate fluorescence database, and Indicates the number of key input samples corresponding to the two stress fluorescences. It represents the matching score of the key input samples of the two stress fluorescence. Therefore, the more the number of detail points that match the two stress fluorescence, the higher the matching score. The larger the value is, the more similar the second chlorophyll fluorescence information A to be matched is to the stress candidate fluorescence information B in the preset stress candidate fluorescence database.

[0147] Further, when the stress fluorescence record shows that the plant POI has suffered stress, the dynamic excitation light source obtains the reflection spectrum of the plant POI; when the reflection spectrum of the plant POI deviates from the normal value by more than the first upper limit value, the dynamic excitation light source triggers a multiple identification state, triggering multiple stress identification data tables corresponding to the reflection spectrum of the plant POI and the stress fluorescence record; when the reflection spectrum of the plant POI deviates from the normal value by no more than the first upper limit value, the dynamic excitation light source triggers a serial identification state, triggering a stress identification data table corresponding to the stress fluorescence record, including:

[0148] When the stress fluorescence record shows that the plant POI has suffered stress, the dynamic excitation light source triggers the reflectance spectrum measurement device;

[0149] The dynamic excitation light source obtains the reflection spectrum of the plant POI, and compares the reflection spectrum of the plant POI with the normal reflection spectrum index. When the compared record determines that the reflection spectrum of the plant POI deviates from the normal reflection spectrum index by more than a first upper limit value, it is determined that the culture layer of the area to be identified is abnormal; otherwise, it is determined that the culture layer of the area to be identified is normal;

[0150] When it is determined that the culture layer of the area to be identified is abnormal, the dynamic excitation light source triggers a multiple identification state, triggering at least two stress identification data tables corresponding to the reflectance spectrum and stress fluorescence records of the plant POI respectively;

[0151] When it is determined that the culture layer of the area to be identified is normal, the dynamic excitation light source triggers the serial identification state, and only triggers one stress identification data table corresponding to the stress fluorescence record.

[0152] Further, according to the corresponding stress identification data table, the luminous intensity and angle of the dynamic excitation light source are adjusted to perform stress identification on the plants and culture layers in the identification area, and further comprising:

[0153] When at least two duress recognition data tables are triggered, the luminous angle of the dynamic excitation light source is adjusted to near-ground luminous intensity and the obstacle avoidance function of the dynamic excitation light source is triggered, and the luminous intensity of the dynamic excitation light source is set to slow;

[0154] Managing the dynamic excitation light source to identify the corresponding stress of the culture layer in the area to be identified;

[0155] Adjust the luminous angle of the dynamic excitation light source to be higher than the angle of the plant, and suspend the obstacle avoidance function of the dynamic excitation light source. Set the luminous intensity of the dynamic excitation light source to medium intensity or high intensity according to the irradiation area detected by the dynamic excitation light source;

[0156] Managing the dynamic excitation light source to identify the corresponding stress of the plants in the area to be identified;

[0157] When only one stress recognition data table is triggered, the luminous angle of the dynamic excitation light source is adjusted to be higher than the angle of the plant, and the obstacle avoidance function of the dynamic excitation light source is suspended. According to the irradiation area detected by the dynamic excitation light source, the luminous intensity of the dynamic excitation light source is set to medium intensity or high intensity;

[0158] A dynamic excitation light source is managed close to the ground to identify the corresponding stress on the plants in the area to be identified.

[0159] Specifically, when the dynamic excitation light source triggers a low-risk identification state, when the auxiliary function is triggered, users with common stress identification needs are allowed to assist the dynamic excitation light source to improve the efficiency of chlorophyll stress identification.

[0160] The first management server and the second management server are both installed with an application capable of managing the dynamic excitation light source, and the application is bound to the ownership relationship between the dynamic excitation light source and the first management server;

[0161] The first management server and the second management server set the first dynamic excitation light source low-risk identification plant and the second dynamic excitation light source low-risk identification plant belonging to the first management server and the second management server in the application, and set the first stress type and the second stress type belonging to the first management server and the second management server;

[0162] The first management server performs instruction management on the dynamic excitation light source;

[0163] When the dynamic excitation light source triggers the auxiliary function, the corresponding dynamic excitation light source triggers the radar module to detect other management servers within the preset area of ​​the plant;

[0164] When it is detected that the second dynamic excitation light source low-risk identification plant of the second management server is located within the preset area of ​​the first dynamic excitation light source low-risk identification plant and the similarity between the second stress type of the second management server and the first stress type of the first management server meets the preset condition, the dynamic excitation light source identifies the second management server as another management server and sends an auxiliary invitation message to the second management server;

[0165] The second management server selects whether to accept the auxiliary invitation information. When the auxiliary invitation information is accepted, the second management server feeds back an invitation acceptance signal to the dynamic excitation light source;

[0166] When the auxiliary invitation information is not accepted, the dynamic excitation light source continues to detect other management servers within the preset area of ​​the plant;

[0167] After receiving the consent invitation signal, the dynamic excitation light source sends an auxiliary request instruction to the first management server, where the auxiliary request instruction includes attribute information of the second management server and low-risk identification plant information of the second dynamic excitation light source;

[0168] The first management server sets the auxiliary position of the dynamic excitation light source according to the auxiliary request instruction, forms an auxiliary consent instruction, and sends it to the dynamic excitation light source;

[0169] After the dynamic excitation light source receives the auxiliary request instruction, the dynamic excitation light source goes to the second dynamic excitation light source to low-risk identify plant information for stress identification.

[0170] In the several embodiments provided by the present invention, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic, for example, the division of units is only a logical function division, and there may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0171] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above integrated unit may be implemented in the form of hardware or in the form of software functional units. The above is only an implementation mode of the present invention, and does not limit the patent plant of the present invention. Any equivalent structure or equivalent process transformation made by using the contents of the specification and drawings of the present invention, or directly or indirectly used in other related technical fields, is also included in the patent protection plant of the present invention.

[0172] The specific embodiments of the invention are described in detail above, but they are only examples, and the invention is not limited to the specific embodiments described above. For those skilled in the art, any equivalent modification or substitution of the invention is also within the scope of the invention, and therefore, the equalization, modification, improvement, etc. made without departing from the spirit and principle of the invention should be included in the invention.

Claims

1. A plant stress identification method integrating canopy fluorescence and reflectance spectral features, characterized in that: include: The dynamic excitation light source detects whether the historical duress identification position of the area to be identified is greater than a first risk distance from the position to be identified. When it is greater than the first risk distance, the dynamic excitation light source triggers a strong risk identification state; when it is not greater than the first risk distance, the dynamic excitation light source triggers a low risk identification state; When the dynamic excitation light source triggers a strong risk identification state, the dynamic excitation light source suspends the auxiliary function, triggers the fluorescence detector, polls the first chlorophyll fluorescence information in the area to be identified, and obtains the identification stress type in the area to be identified; When the dynamic excitation light source triggers a low-risk identification state, triggering the auxiliary function; Based on the identified stress type, randomly obtaining a plant POI in the first chlorophyll fluorescence information, and obtaining a stress fluorescence record of the plant POI; When the stress fluorescence record shows that the plant POI has suffered stress, the dynamic excitation light source acquires the reflectance spectrum of the plant POI; When the stress fluorescence record shows that the plant POI is not under stress, the dynamic excitation light source triggers a low-risk identification state; When the reflectance spectrum of the plant POI deviates from the normal value by more than a first upper limit value, the dynamic excitation light source triggers a multiple identification state, triggering a plurality of stress identification data tables corresponding to the reflectance spectrum of the plant POI and the stress fluorescence record; When the reflectance spectrum of the plant POI deviates from the normal value by no more than a first upper limit value, the dynamic excitation light source triggers a serial recognition state, triggering a stress recognition data table corresponding to the stress fluorescence record; According to the corresponding stress identification data table, the luminous intensity and angle of the dynamic excitation light source are adjusted to perform stress identification on the plants and culture layers in the area to be identified.

2. The plant stress identification method integrating canopy fluorescence and reflectance spectrum characteristics as claimed in claim 1, characterized in that: include: When the dynamic excitation light source triggers a strong risk identification state, the dynamic excitation light source suspends an auxiliary function, triggers a fluorescence detector, polls the first chlorophyll fluorescence information in the area to be identified, and obtains the identification stress type in the area to be identified, specifically including: When the dynamic excitation light source triggers a strong risk identification state, the auxiliary function is suspended, and the dynamic excitation light source only allows the first management server to issue management instructions; The first management server sends a strong risk identification instruction to the dynamic excitation light source, and the dynamic excitation light source triggers the configured fluorescence detector according to the strong risk identification instruction; The dynamic excitation light source polls the area to be identified, captures fluorescence information of chlorophyll in the area to be identified, and obtains a plurality of first chlorophyll fluorescence information; Identifying the plant type in the first chlorophyll fluorescence information, and when the number of plant types in the first chlorophyll fluorescence information is 1, determining that the plant type in the chlorophyll remote sensing is an identified stress type; When the number of plant types in the first chlorophyll fluorescence information is not 1, the percentage ratio of various plants in the first chlorophyll fluorescence information is determined, and the plant type with the highest percentage is used as the plant identification stress type.

3. The plant stress identification method integrating canopy fluorescence and reflectance spectrum characteristics as claimed in claim 1, characterized in that: include: The step of randomly acquiring a plant POI in the first chlorophyll fluorescence information based on the identified stress type, and acquiring a stress fluorescence record of the plant POI, further comprises: According to the identified stress type, randomly selecting a chlorophyll area of ​​a preset area in the area to be identified as a plant POI; The dynamic excitation light source uses a fluorescence detector to obtain the second chlorophyll fluorescence information of the plant of the plant POI; According to the identified stress type, and according to the corresponding priority, obtaining different plant light sources in the second chlorophyll fluorescence information; When the second chlorophyll fluorescence information matches a preset stress candidate fluorescence database, it is determined that the second chlorophyll fluorescence information is under stress; When the second chlorophyll fluorescence information does not match the preset stress candidate fluorescence database, it is determined that there is no stress in the second chlorophyll fluorescence information.

4. The plant stress identification method integrating canopy fluorescence and reflectance spectral characteristics as claimed in claim 1, characterized in that: include: When the stress fluorescence record shows that the plant POI has suffered stress, the dynamic excitation light source acquires the reflection spectrum of the plant POI; when the reflection spectrum of the plant POI deviates from the normal value by more than a first upper limit, the dynamic excitation light source triggers a multiple identification state, triggering a plurality of stress identification data tables corresponding to the reflection spectrum of the plant POI and the stress fluorescence record; when the reflection spectrum of the plant POI deviates from the normal value by no more than a first upper limit, the dynamic excitation light source triggers a serial identification state, triggering a stress identification data table corresponding to the stress fluorescence record, including: When the stress fluorescence record shows that the plant POI has suffered stress, the dynamic excitation light source triggers the reflectance spectrum measuring device; The dynamic excitation light source obtains the reflection spectrum of the plant POI, and compares the reflection spectrum of the plant POI with a normal reflection spectrum index. When the compared record determines that the reflection spectrum of the plant POI deviates from the normal reflection spectrum index by more than a first upper limit value, it is determined that the culture layer of the area to be identified is abnormal; otherwise, it is determined that the culture layer of the area to be identified is normal; When it is determined that the culture layer of the area to be identified is abnormal, the dynamic excitation light source triggers a multiple identification state, triggering at least two stress identification data tables corresponding to the reflectance spectrum of the plant POI and the stress fluorescence record respectively; When it is determined that the culture layer of the area to be identified is normal, the dynamic excitation light source triggers a serial identification state, and only triggers a stress identification data table corresponding to the stress fluorescence record.

5. The plant stress identification method integrating canopy fluorescence and reflectance spectrum characteristics as claimed in claim 4, characterized in that: include: The step of adjusting the luminous intensity and angle of the dynamic excitation light source according to the corresponding stress identification data table to perform stress identification on the plants and culture layers in the area to be identified further includes: When at least two duress recognition data tables are triggered, the luminous angle of the dynamic excitation light source is adjusted to emit light close to the ground and the obstacle avoidance function of the dynamic excitation light source is triggered, and the luminous intensity of the dynamic excitation light source is set to slow; Managing the dynamic excitation light source to perform corresponding stress identification on the culture layer of the area to be identified; Adjust the luminous angle of the dynamic excitation light source to be higher than the angle of the plant, suspend the obstacle avoidance function of the dynamic excitation light source, and set the luminous intensity of the dynamic excitation light source to medium intensity or high intensity according to the irradiation area detected by the dynamic excitation light source; Managing the dynamic excitation light source to perform corresponding stress identification on the plants in the area to be identified; When only one stress identification data table is triggered, the luminous angle of the dynamic excitation light source is adjusted to be higher than the plant angle, and the obstacle avoidance function of the dynamic excitation light source is suspended, and the luminous intensity of the dynamic excitation light source is set to medium intensity or high intensity according to the irradiation area detected by the dynamic excitation light source; The dynamic excitation light source is managed to perform corresponding stress identification on the plants in the area to be identified.

6. A plant stress identification system integrating canopy fluorescence and reflectance spectral features, comprising a dynamic excitation light source and multiple management servers, characterized in that: The dynamic excitation light source at least has a fluorescence detector, a reflection spectrum measuring device, an irradiation area sensor, and a plurality of stress identification data tables; The management server sends an identification instruction to the dynamic excitation light source; The dynamic excitation light source stress identification management system is used to execute the plant stress identification method integrating canopy fluorescence and reflectance spectrum characteristics as described in any one of claims 1 to 5.

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