A method and system for delaying the phenological stage of fruit trees

Abstract

The embodiment of the present application provides a kind of fruit tree phenology stage delay regulation method and system, belong to fruit tree cultivation regulation technical field.The method includes: obtaining the environment parameter data and fruit tree state data in the environment area formed by the enclosure structure of target fruit tree crown, and equivalent action temperature is constructed;Growth preparation index is constructed, and target growth trajectory is constructed, to obtain the deviation data between growth preparation index and target growth trajectory;Environment regulation strategy is generated, and growth preparation index is driven to evolve along target growth trajectory;In the process of executing environment regulation strategy, determine factor is constructed based on fruit tree state data, and environment regulation strategy is dynamically modified according to determine factor.The present application scheme realizes the stable delay and phenology matching of fruit tree growth start time by temperature and photoperiod coordinated regulation and state feedback.

Description

Technical Field

[0001] This invention relates to the field of fruit tree cultivation regulation technology, specifically to a method and system for delaying the regulation of fruit tree phenological stages. Background Technology

[0002] In fruit tree cultivation, the timing of the onset of phenological stages directly affects flowering, fruit setting, and final yield, especially in climatically marginal areas or introduced cultivation scenarios, where this issue is more pronounced. Taking the expansion of tropical or subtropical fruit tree cultivation to northern or high-latitude regions as an example, influenced by climate fluctuations such as warm winters, periodic warming, and late spring frosts, fruit trees often prematurely initiate new shoot growth or budding before entering a stable growth environment. If subsequent low temperatures occur, it can easily cause frost damage to tender shoots or flowers, leading to reduced yields or even crop failure. Current production mainly relies on emergency protection methods such as frost-proof fans, water spraying for frost prevention, and mulching for insulation. These measures focus on short-term frost resistance and are primarily effective during extreme low temperatures, making it difficult to intervene in advance and regulate the overall timing of fruit tree growth initiation.

[0003] On the other hand, while greenhouse temperature control and supplemental lighting can achieve a certain degree of growth regulation under protected cultivation conditions, these methods are costly and primarily control the overall environment, making them unsuitable for large-scale application in open-field orchards. In open-field conditions, there are also protective covering structures for individual trees or specific areas, but current applications mostly remain at the level of passive insulation or simple shading, lacking dynamic regulation mechanisms based on the physiological state of the fruit trees, and thus failing to achieve precise control over the growth initiation process.

[0004] From an engineering perspective, the transition of fruit trees from dormancy or growth stagnation to growth initiation is a continuous process, influenced by temperature changes, photoperiod, and the trees' own physical condition. Currently, there is a lack of closed-loop control methods that combine environmental regulation with feedback on growth status. Especially in locally controllable environments within the canopy, effective technical solutions are still lacking for delaying the growth initiation rhythm of fruit trees through coordinated regulation of temperature and light, without relying on large-scale facilities, and for avoiding premature or repeated growth initiation.

[0005] Therefore, there is an urgent need for a regulation method that can controllably delay the start-up process of fruit tree growth under open or semi-open conditions, in order to solve the problems of existing technologies that cannot actively adjust the timing of phenological stages and are difficult to cope with climate fluctuations. Summary of the Invention

[0006] The purpose of this invention is to provide a method and system for delaying the phenological stages of fruit trees, so as to at least solve the problems of the inability to actively adjust the timing of phenological stages and the difficulty in coping with climate fluctuations in the prior art.

[0007] To achieve the above objectives, a first aspect of the present invention provides a method for delaying the regulation of phenological stages in fruit trees. The method includes: acquiring environmental parameter data and fruit tree status data within an environmental area enclosed by a canopy covering a target fruit tree; constructing an equivalent operating temperature based on the environmental parameter data and the fruit tree status data; constructing a growth preparation index based on the equivalent operating temperature and light intensity data in the environmental parameter data; constructing a target growth trajectory according to a preset delay target to obtain deviation data between the growth preparation index and the target growth trajectory; generating an environmental regulation strategy based on the deviation data; and adjusting the temperature and photoperiod within the environmental area based on the environmental regulation strategy to drive the growth preparation index to evolve along the target growth trajectory; and during the execution of the environmental regulation strategy, constructing a determination factor based on the fruit tree status data and dynamically correcting the environmental regulation strategy based on the determination factor.

[0008] Optionally, acquiring environmental parameter data and fruit tree status data within the environmental area enclosed by the canopy of the target fruit tree includes: acquiring temperature data and light intensity data within the environmental area at preset time intervals as the environmental parameter data; simultaneously, acquiring branch surface temperature data based on temperature detection devices deployed on the branch surface of the target fruit tree, and extracting bud morphological features based on image acquisition results of the canopy area of ​​the target fruit tree to construct bud activity data as the fruit tree status data.

[0009] Optionally, constructing an equivalent effect temperature based on the environmental parameter data and the fruit tree status data includes: constructing a temperature time series based on the temperature data in the environmental parameter data at preset time intervals, and calculating the rate of temperature change between adjacent time points based on the temperature time series; performing hysteresis compensation processing on the temperature data based on the rate of temperature change to obtain corrected temperature data for characterizing the dynamic impact of temperature changes; and performing weighted fusion processing on the branch surface temperature data in the fruit tree status data and the corrected temperature data to obtain the equivalent effect temperature.

[0010] Optionally, a growth preparation index is constructed based on the equivalent operating temperature and the light intensity data in the environmental parameter data, including: constructing an equivalent temperature time series based on the equivalent operating temperature, and mapping the equivalent temperature time series to a corresponding temperature contribution series according to a preset temperature response rule; constructing a light intensity time series based on the light intensity data, and mapping the light intensity time series to a corresponding light contribution series according to a preset light response rule; performing time-by-time combination calculations of the temperature contribution series and the light contribution series to obtain a growth driving sequence, and performing cumulative calculations of the growth driving sequence to obtain the growth preparation index.

[0011] Optionally, constructing a target growth trajectory based on a preset delay target to obtain deviation data between the growth preparation index and the target growth trajectory includes: determining a corresponding target delay duration based on the preset delay target, and constructing a target time series according to the target delay duration; mapping the target time series to a target growth trajectory sequence based on a preset growth process accumulation rule; constructing a corresponding actual growth trajectory sequence based on the growth preparation index, and performing a time-by-time comparison calculation between the actual growth trajectory sequence and the target growth trajectory sequence to obtain deviation data.

[0012] Optionally, generating an environmental control strategy based on the deviation data includes: determining the corresponding deviation direction and deviation amplitude based on the deviation data, and determining whether the growth preparation state is a state of insufficient delay or excessive delay based on the deviation direction; when the state of insufficient delay is determined, generating a first control parameter based on the deviation amplitude to reduce the rate of temperature change in the environmental area and suppress light input; when the state of excessive delay is determined, generating a second control parameter based on the deviation amplitude to increase the temperature in the environmental area and increase photoperiod perturbation; constructing a growth rate sequence based on the deviation data, and generating a perturbation control parameter for performing short-term perturbations on the temperature and the photoperiod when the growth rate sequence meets a preset rate threshold condition; and combining the first control parameter, the second control parameter, and the perturbation control parameter to form an environmental control strategy.

[0013] Optionally, adjusting the temperature and photoperiod within the environmental region based on the environmental control strategy to drive the growth preparation index to evolve along the target growth trajectory includes: resolving the control parameters in the environmental control strategy into corresponding temperature adjustment parameters and photoperiod adjustment parameters; controlling a temperature adjustment device located within the environmental region based on the temperature adjustment parameters to adjust the temperature change process within the environmental region to change the equivalent operating temperature; controlling a photoperiod adjustment device located within the environmental region based on the photoperiod adjustment parameters to adjust the light input corresponding to the light intensity data to change the light contribution sequence; reconstructing the growth preparation index based on the adjusted equivalent operating temperature and the adjusted light contribution sequence; and comparing the reconstructed growth preparation index with the target growth trajectory to drive the growth preparation index to evolve along the target growth trajectory.

[0014] Optionally, during the execution of the environmental regulation strategy, a determination factor is constructed based on the fruit tree state data, and the environmental regulation strategy is dynamically modified according to the determination factor. This includes: constructing a bud activity sequence and a branch temperature response sequence based on the fruit tree state data, and fusing the bud activity sequence and the branch temperature response sequence to obtain the determination factor; determining the fruit tree growth status based on the determination factor and its rate of change, and suppressing or perturbing the temperature regulation parameters and photoperiod regulation parameters in the environmental regulation strategy according to the determination result, so as to generate a modified environmental regulation strategy and use it to re-execute the temperature and photoperiod regulation.

[0015] A second aspect of the present invention provides a system for delaying and regulating the phenological stages of fruit trees. The system includes: a parameter acquisition unit, configured to acquire environmental parameter data and fruit tree status data within an environmental area enclosed by a covering structure of a target fruit tree canopy, and to construct an equivalent operating temperature based on the environmental parameter data and the fruit tree status data; a deviation data determination unit, configured to construct a growth preparation index based on the equivalent operating temperature and light intensity data in the environmental parameter data, and to construct a target growth trajectory according to a preset delay target, thereby obtaining deviation data between the growth preparation index and the target growth trajectory; an adjustment unit, configured to generate an environmental regulation strategy based on the deviation data, and to adjust the temperature and photoperiod within the environmental area based on the environmental regulation strategy to drive the growth preparation index to evolve along the target growth trajectory; and a correction unit, configured to construct a judgment factor based on the fruit tree status data during the execution of the environmental regulation strategy, and to dynamically correct the environmental regulation strategy based on the judgment factor.

[0016] Optionally, the parameter acquisition unit includes: a temperature detection device for acquiring temperature data within the environmental area; a light detection device for acquiring light intensity data within the environmental area; a temperature detection device disposed on the surface of the target fruit tree branches for acquiring branch surface temperature data; and an image acquisition device for acquiring image data of the canopy area of ​​the target fruit tree. The adjustment unit includes: a temperature adjustment device for adjusting the temperature change process within the environmental area according to temperature adjustment parameters to change the equivalent temperature; and a photoperiod adjustment device for adjusting the light input within the environmental area according to photoperiod adjustment parameters to change the light contribution sequence. The temperature adjustment parameters and the photoperiod adjustment parameters are obtained based on the environmental control strategy.

[0017] Through the above technical solution, the present invention collects environmental parameter data and fruit tree status data within the environmental area enclosed by the canopy covering structure, and constructs an equivalent temperature and growth preparation index to quantitatively characterize the fruit tree growth initiation process; further, it constructs a target growth trajectory by combining a preset delay target, and generates an environmental regulation strategy based on deviation data to coordinate the adjustment of temperature and photoperiod, so that the growth preparation index evolves according to the target trajectory; at the same time, it dynamically corrects the regulation strategy through a decision factor to achieve a feedback loop between environmental regulation and growth status, thereby achieving stable delayed control of the fruit tree growth initiation time under open-air conditions and improving the matching degree between phenological stages and climatic conditions.

[0018] Other features and advantages of the embodiments of the present invention will be described in detail in the following detailed description section. Attached Figure Description

[0019] The accompanying drawings are provided to further illustrate embodiments of the present invention and form part of the specification. They are used together with the following detailed description to explain the embodiments of the present invention, but do not constitute a limitation thereof. In the drawings:

[0020] Figure 1 This is a flowchart of the steps of a method for delaying the phenological stage of fruit trees according to one embodiment of the present invention;

[0021] Figure 2 This is a schematic diagram of a local environmental regulation structure for fruit tree canopies provided in one embodiment of the present invention;

[0022] Figure 3 This is a schematic diagram comparing the effects of regulating the germination and growth process of fruit trees according to one embodiment of the present invention;

[0023] Figure 4 This is a system structure diagram of a fruit tree phenological stage delay regulation system provided in one embodiment of the present invention;

[0024] Figure 5 This is an internal structural diagram of a computer device provided in one embodiment of the present invention.

[0025] Explanation of reference numerals in the attached figures

[0026] 10-Temperature detection device; 20-Light intensity detection device; 30-Image acquisition device; 40-Temperature adjustment device; 50-Light cycle adjustment device; 60-Coverage structure;

[0027] A01 - Processor; A02 - Network Interface; A03 - Internal Memory; A04 - Non-volatile Storage Media; B01 - Operating System; B02 - Computer Program. Detailed Implementation

[0028] The specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are for illustration and explanation only and are not intended to limit the present invention.

[0029] like Figure 1 As shown, this invention provides a method for delaying and regulating the phenological stages of fruit trees, the method comprising:

[0030] Step S1: Obtain environmental parameter data and fruit tree status data within the environmental area enclosed by the canopy of the target fruit tree 60, and construct an equivalent operating temperature based on the environmental parameter data and the fruit tree status data.

[0031] Specifically, acquiring environmental parameter data and fruit tree status data within the environmental area enclosed by the canopy of the target fruit tree 60 includes: acquiring temperature data and light intensity data within the environmental area at preset time intervals as the environmental parameter data; simultaneously, acquiring branch surface temperature data based on a temperature detection device 10 deployed on the branch surface of the target fruit tree, and extracting bud morphological features based on image acquisition results of the canopy area of ​​the target fruit tree to construct bud activity data as the fruit tree status data.

[0032] Furthermore, constructing an equivalent effect temperature based on the environmental parameter data and the fruit tree status data includes: constructing a temperature time series based on the temperature data in the environmental parameter data at preset time intervals, and calculating the rate of temperature change between adjacent time points based on the temperature time series; performing hysteresis compensation processing on the temperature data based on the rate of temperature change to obtain corrected temperature data for characterizing the dynamic impact of temperature changes; and performing weighted fusion processing on the branch surface temperature data in the fruit tree status data and the corrected temperature data to obtain the equivalent effect temperature.

[0033] In embodiments of the present invention, such as Figure 2 As shown, in an open-air orchard, a covering structure 60 is set up around the canopy area of ​​the target fruit tree. The covering structure 60 is made of flexible material and forms an arched or dome-shaped enclosure, thus creating a relatively independent environmental area around the canopy. This environmental area is in a semi-open state, reducing external wind speed and heat exchange intensity while maintaining a certain level of ventilation to avoid the adverse effects of excessive humidity. Within this environmental area, temperature detection devices 10 and light detection devices 20 are deployed to continuously acquire local temperature and light changes. Simultaneously, image acquisition devices 30 are installed on the side of the canopy or at appropriate locations to acquire information on the morphological changes of buds and branches. Through the above deployment, the environmental conditions within the canopy area and the condition of the fruit tree itself can be stably collected.

[0034] In terms of regulation, the temperature regulation device 40 is installed around the trunk or near the ground. It can take the form of a heating strip wrapped around the trunk and main branches, or a small hot air device can be used to slowly heat the inside of the canopy. The photoperiod regulation device 50 can use low-power supplemental lighting installed above or to the side of the canopy to adjust the duration of light at night. Through the above methods, the local environment of a single fruit tree can be precisely intervened without changing the overall open-air planting conditions, thus providing the basic conditions for regulating the growth rhythm.

[0035] It should be noted that the above-described structural form is only a preferred embodiment. The covering structure 60 can be made of different forms such as plastic film, composite fabric, or mesh material, depending on actual needs. The temperature regulating device 40 is not limited to heating belts or hot air devices, but can also be other devices capable of temperature regulation. Similarly, the photoperiod regulating device 50 can also use different types of light source equipment. The specific layout of various devices can be adjusted according to the type of fruit tree, planting density, and environmental conditions. This application is not limited to the specific structural combinations described above.

[0036] Specifically, as shown in the aforementioned structural scenario, an environmental area enclosed by a covering structure 60 needs to be constructed around the canopy of the target fruit tree. Within this environmental area, environmental parameter data and fruit tree status data are continuously acquired. It should be noted that this environmental area is a locally controlled space formed by enclosing the canopy space with the covering structure 60. There is still a certain degree of air exchange between it and the external environment. However, compared to a completely open-air state, its temperature fluctuation rate and light conditions are adjustable, thus providing basic data conditions for subsequent growth process regulation.

[0037] During data acquisition, periodic data collection is preferably performed at preset time intervals, which can be set to 5 minutes, 10 minutes, or 15 minutes, etc., to balance data continuity and system load. Air temperature data is acquired by a temperature detection device 10 deployed within the environmental area, and light intensity data at corresponding times is acquired by a light detection device 20. These temperature and light intensity data together constitute environmental parameter data. Furthermore, a temperature detection device 10 is installed on the surface of the branches of the target fruit tree to acquire branch surface temperature data, which reflects the actual response of plant tissue to environmental temperature. Simultaneously, an image acquisition device 30 continuously or intermittently acquires data from the canopy area, and extracts morphological features of the bud region based on the image data, such as bud outline area, edge variation, or brightness distribution changes, thereby constructing bud activity data. It should be noted that bud activity data is a comprehensive characterization index obtained by normalizing the above morphological features; its numerical changes reflect the trend of buds transitioning from a quiescent to an active state.

[0038] After acquiring environmental parameter data and fruit tree status data, an equivalent action temperature is further constructed based on the aforementioned data. Unlike directly using ambient temperature, the equivalent action temperature described in this application aims to characterize the actual temperature state perceived by the fruit trees; therefore, it is necessary to consider the dynamic characteristics of temperature changes and the plant's own thermal response characteristics. Specifically, a temperature time series is first constructed based on the temperature data according to the preset time intervals. , indicating the first The ambient temperature values ​​at each sampling time point. Based on this temperature time series, the rate of temperature change between adjacent time points is calculated, which can be expressed as:

[0039] ;

[0040] in, It represents the rate of temperature change within the current sampling period, used to depict the trend of temperature increase or decrease.

[0041] After obtaining the rate of temperature change, hysteresis compensation is applied to the temperature data to correct for the delayed effect of ambient temperature on the actual plant activity. In one embodiment, the following correction model can be constructed:

[0042] ;

[0043] in, This indicates a correction to the temperature data. This is the lag compensation coefficient, and its value can be set according to the fruit tree species, branch thickness, and environmental conditions. For example, it can be selected within an equivalent time range of 30 to 60 minutes. Through the above processing, when the temperature rises rapidly, the corrected temperature is appropriately lowered to reflect the actual state of the plant not yet fully responding to the temperature rise; when the temperature drops rapidly, the corrected temperature is relatively increased, thereby avoiding underestimating the thermal state of the plant.

[0044] After obtaining the corrected temperature data, a weighted fusion process is performed by combining it with the branch surface temperature data to obtain the final equivalent effective temperature. In a preferred embodiment, the following weighted model can be used:

[0045] ;

[0046] in, Indicates the equivalent operating temperature. This indicates the surface temperature of the branch at the corresponding moment. The weighting coefficient is preferably between 0.6 and 0.8. This fusion method preserves the overall trend of ambient temperature while incorporating the plant's own temperature response, making the equivalent temperature closer to the actual physiological state.

[0047] It should be noted that the aforementioned lag compensation model and weighted fusion model are only preferred implementations, and this application is not limited to specific function forms or parameter values. In other embodiments, exponential smoothing, moving average, or nonlinear models based on historical data fitting can also be used to correct for temperature, which can also achieve the characterization of the dynamic impact of temperature. During the fusion process, the weighting coefficients can also be dynamically adjusted according to different fruit tree types or different growth stages to improve the model's adaptability.

[0048] The equivalent operating temperature obtained through the above steps can effectively reflect the actual thermal state of fruit trees under current environmental conditions and serve as an important input for the subsequent construction of the growth preparation index. Compared with the traditional method that only uses ambient temperature, this application introduces a joint correction of temperature change rate and branch temperature, making the temperature characterization more accurate and providing a reliable basis for the formulation of subsequent control strategies, thereby improving the stability and controllability of the overall control process.

[0049] Step S2: Based on the equivalent operating temperature and the light intensity data in the environmental parameter data, construct a growth preparation index, and construct a target growth trajectory according to a preset delay target, so as to obtain the deviation data between the growth preparation index and the target growth trajectory.

[0050] Specifically, based on the equivalent operating temperature and the light intensity data in the environmental parameter data, a growth preparation index is constructed, including: constructing an equivalent temperature time series based on the equivalent operating temperature, and mapping the equivalent temperature time series to a corresponding temperature contribution series according to a preset temperature response rule; constructing a light intensity time series based on the light intensity data, and mapping the light intensity time series to a corresponding light contribution series according to a preset light response rule; performing time-by-time combination calculations of the temperature contribution series and the light contribution series to obtain a growth driving sequence, and performing cumulative calculations of the growth driving sequence to obtain the growth preparation index.

[0051] Furthermore, constructing a target growth trajectory based on a preset delay target to obtain deviation data between the growth preparation index and the target growth trajectory includes: determining a corresponding target delay duration based on the preset delay target, and constructing a target time series according to the target delay duration; mapping the target time series to a target growth trajectory sequence based on a preset growth process accumulation rule; constructing a corresponding actual growth trajectory sequence based on the growth preparation index, and comparing the actual growth trajectory sequence with the target growth trajectory sequence time-by-time to obtain deviation data.

[0052] In this embodiment of the invention, after constructing the equivalent operating temperature, it is necessary to further model the equivalent operating temperature and light intensity data together to form a growth preparation index that can characterize the degree of fruit tree transformation from a growth stagnation state to a growth initiation state. It should be noted that the growth preparation index is obtained by uniformly quantifying the synergistic effect of temperature-driven and photoperiodic-driven processes, thereby obtaining a state quantity with continuous evolutionary characteristics.

[0053] In one specific implementation, an equivalent temperature time series is first constructed based on the equivalent operating temperature according to a preset time interval. , indicating the first The equivalent temperature at each sampling time point. For this equivalent temperature time series, mapping processing is performed according to a preset temperature response rule to obtain a temperature contribution sequence. The temperature response rule is used to characterize the degree of influence of different temperature ranges on the fruit tree growth preparation process; for example, the contribution of temperature to growth preparation is weaker in the low-temperature range, while the contribution gradually increases in the suitable temperature range. In a preferred embodiment, the following piecewise function form can be constructed:

[0054] ;

[0055] in, Indicates the temperature contribution value. and These are the temperature response thresholds, and their specific values ​​can be set according to the type of fruit tree. For example, they can be set to... , In this way, the driving effect of temperature on growth preparation becomes gradual.

[0056] At the same time, a time series of light intensity is constructed based on the light intensity data. The light is then mapped according to a preset light response rule to obtain a light contribution sequence. The light response rule describes the promoting effect of light intensity on growth initiation; its effect is generally manifested as higher growth readiness due to stronger light or longer photoperiods. In one embodiment, the following normalization form can be used:

[0057] ;

[0058] in, Indicates the contribution value of light. To preset the maximum light intensity, The basic weighting coefficient can be set to a value between 0.4 and 0.6 to avoid the model becoming distorted due to excessively low contribution values ​​under low light conditions.

[0059] After obtaining the temperature contribution sequence and the light contribution sequence, they are combined time-by-time to obtain the growth-driving sequence. In a preferred embodiment, the combination can be performed in a product form:

[0060] ;

[0061] in, Indicates the first The growth drive value at a given time reflects the immediate growth driving force under the combined effects of temperature and light. Subsequently, the growth drive sequence is cumulatively calculated over time to obtain the growth readiness index, which is expressed as:

[0062] ;

[0063] in, This indicates the growth readiness index as of the current moment. The sampling time interval is defined as . Through the aforementioned accumulation process, the growth readiness index can continuously reflect the historical accumulation effect of growth drivers, thus exhibiting continuous evolutionary characteristics.

[0064] It should be noted that the temperature response rules, illumination response rules, and combination methods described above are preferred examples. In other implementations, weighted summation, nonlinear functions, or mapping methods based on empirical models can also be used to achieve coupled modeling of temperature and illumination. This application does not limit the specific function form.

[0065] After obtaining the growth readiness index, the next step is to construct a target growth trajectory based on a preset delay target and calculate the deviation data accordingly. The corresponding target delay duration is determined based on the preset delay target, such as a delay of 5 or 7 days, and a target time series is constructed accordingly. Based on this time series, a target growth trajectory sequence is constructed according to a preset growth process accumulation rule. This growth process accumulation rule can be consistent with the accumulation rule of the growth readiness index, or it can be appropriately adjusted according to different control strategies. Furthermore, an actual growth trajectory sequence is constructed based on the currently calculated real-time growth readiness index. By comparing the actual growth trajectory sequence with the target growth trajectory sequence time-by-time, the deviation data is obtained, which can be expressed as follows:

[0066] ;

[0067] in, This represents the growth deviation at the current moment, reflecting the degree to which the actual growth process is ahead or behind the target trajectory. When When the value is positive, it indicates insufficient growth preparation, requiring regulation to promote accumulation; when the value is negative, it indicates excessive growth preparation, requiring inhibition or perturbation.

[0068] It should be noted that the construction of the target growth trajectory is not limited to linear growth. In some implementations, piecewise functions or nonlinear curves can also be used to adapt to the needs of different fruit tree species or different growth stages. Furthermore, smoothing or sliding window methods can be introduced during deviation calculation to reduce the impact of short-term fluctuations on the control strategy.

[0069] Step S3: Generate an environmental control strategy based on the deviation data, and adjust the temperature and photoperiod within the environmental area based on the environmental control strategy to drive the growth preparation index to evolve along the target growth trajectory.

[0070] Specifically, generating an environmental control strategy based on the deviation data includes: determining the corresponding deviation direction and deviation amplitude based on the deviation data, and determining whether the growth preparation state is a state of insufficient delay or excessive delay based on the deviation direction; when the state of insufficient delay is determined, generating a first control parameter based on the deviation amplitude to reduce the rate of temperature change in the environmental area and suppress light input; when the state of excessive delay is determined, generating a second control parameter based on the deviation amplitude to increase the temperature in the environmental area and increase photoperiod perturbation; constructing a growth rate sequence based on the deviation data, and generating a perturbation control parameter for performing short-term perturbations on the temperature and the photoperiod when the growth rate sequence meets a preset rate threshold condition; and combining the first control parameter, the second control parameter, and the perturbation control parameter to form an environmental control strategy.

[0071] In this embodiment of the invention, adjusting the temperature and photoperiod within the environmental region based on the environmental control strategy to drive the growth preparation index to evolve along the target growth trajectory includes: parsing the control parameters in the environmental control strategy into corresponding temperature adjustment parameters and photoperiod adjustment parameters; controlling a temperature adjustment device 40 located within the environmental region to adjust the temperature change process within the environmental region based on the temperature adjustment parameters to change the equivalent operating temperature; controlling a photoperiod adjustment device 50 located within the environmental region to adjust the light input corresponding to the light intensity data based on the photoperiod adjustment parameters to change the light contribution sequence; reconstructing the growth preparation index based on the adjusted equivalent operating temperature and the adjusted light contribution sequence; and comparing the reconstructed growth preparation index with the target growth trajectory to drive the growth preparation index to evolve along the target growth trajectory.

[0072] In this embodiment of the invention, the corresponding deviation direction and deviation amplitude are determined based on the deviation data. The deviation direction reflects the current actual growth preparation level relative to the target growth trajectory, while the deviation amplitude quantifies the degree of deviation. In one embodiment, when the deviation data is positive, it indicates that the current growth preparation index is lower than the target trajectory, corresponding to an insufficient growth preparation state; when the deviation data is negative, it indicates that the current growth preparation index is higher than the target trajectory, corresponding to an excessive growth preparation state. Through the above determination, subsequent regulation has a clear directional basis.

[0073] If the condition is determined to be insufficiently delayed, it indicates that the fruit tree's growth preparation process is too slow. In this case, it is necessary to control environmental variables to reduce the growth rate of the growth-driving intensity. Specifically, a first control parameter can be generated based on the deviation amplitude. This first control parameter is used to gradually control the temperature change process, such as reducing the rate of temperature rise or maintaining the temperature within a lower fluctuation range, while simultaneously suppressing light input, such as reducing nighttime supplemental lighting or shortening the duration of light exposure. It should be noted that reducing the rate of temperature change here is achieved by controlling the dynamic process of temperature change, making the temperature change more gradual over time, thereby slowing down the accumulation rate of the growth preparation index.

[0074] If the condition is determined to be an excessive delay, it indicates that the growth preparation process is too rapid, requiring reverse adjustment of environmental variables. In this case, a second control parameter is generated based on the deviation amplitude. This second control parameter is used to increase the temperature level within the environmental area and introduce photoperiod perturbation. For example, the nighttime temperature can be appropriately increased by the temperature regulation device 40, or supplemental lighting for a certain duration can be introduced at night by the photoperiod regulation device 50, thereby altering the trend of the light contribution sequence. Through these methods, the growth-driven process is adjusted in stages, preventing the continuous and rapid accumulation of the growth preparation index.

[0075] Furthermore, to avoid lag in regulatory response due to relying solely on deviation amplitude, this embodiment also constructs a growth rate sequence based on deviation data. This growth rate sequence can be obtained by time-difference analysis of the growth preparation index, reflecting the changing trend of the growth preparation process. When the growth rate sequence meets a preset rate threshold condition, it indicates that the current growth process is in an accelerated phase. At this time, a perturbation regulation parameter is generated to perform short-term perturbations on temperature and photoperiod. This perturbation can manifest as a short-term increase in temperature or the introduction of intermittent supplemental lighting, thereby interrupting the continuous growth-driven process and causing a deflection in the growth curve of the growth preparation index. It should be noted that the duration and amplitude of the perturbation regulation parameter can be set according to the specific application scenario, for example, limiting the duration of the perturbation to less than 1 hour to avoid excessive stimulation to the plant.

[0076] After obtaining the first control parameter, the second control parameter, and the disturbance control parameter, these parameters are combined to form a complete environmental control strategy. This environmental control strategy coordinates based on the priority of the current state, for example, selecting only one type of dominant control parameter at any given time, or weighted fusion of multiple types of parameters, to ensure the stability of the control process.

[0077] It should be noted that the first control parameter, the second control parameter, and the disturbance control parameter are all intermediate control parameters, used to further map them into specific execution parameters. Therefore, in this embodiment, the above intermediate control parameters are uniformly converted into temperature adjustment parameters and photoperiod adjustment parameters. The specific conversion relationship can be expressed as follows:

[0078] ;

[0079] ;

[0080] in, Indicates deviation data, Indicates temperature control parameters. Indicates the photoperiod adjustment parameter. and The preset mapping coefficient can be set according to the fruit tree species and environmental conditions. For the disturbance control parameters, it is preferable to apply them in a superimposed manner to the above-mentioned control parameters, for example, within a preset time window... or Instantaneous incremental corrections are performed to interrupt the continuous growth drive.

[0081] Through the above mapping process, the first control parameter, the second control parameter, and the disturbance control parameter are ultimately normalized to the temperature control parameter and the photoperiod control parameter, thereby establishing a continuous transmission relationship between deviation data and the executed control quantity. In other words, the environmental control strategy can be understood as a parameter set composed of the temperature control parameter and the photoperiod control parameter, while the first control parameter, the second control parameter, and the disturbance control parameter are used to generate different components of this parameter set.

[0082] During the execution phase, the temperature regulation device 40, set within the environmental area, is controlled based on the temperature regulation parameters to adjust the temperature change process within the environmental area. For example, when the temperature regulation parameter is positive, the power output of the heating belt can be increased or the operating intensity of the hot air device can be increased; when the temperature regulation parameter is negative, the heating power is reduced or heating is stopped, thereby making the temperature change more gradual. Through the above methods, the temperature evolution trajectory within the environmental area is changed, and the equivalent effective temperature is further affected.

[0083] Simultaneously, the photoperiod adjustment device 50 is controlled based on the photoperiod adjustment parameters to adjust the light input within the environmental area. For example, the duration of illumination and the degree of light contribution can be adjusted by controlling the on-time of the supplemental lighting device or the light intensity. Through the above adjustments, the light contribution sequence corresponding to the light intensity data changes, thereby affecting the accumulation process of the growth-driving sequence.

[0084] After temperature and photoperiod regulation is implemented, the equivalent temperature and light contribution sequences are reconstructed based on the updated environmental parameters, and the updated growth readiness index is further calculated. Subsequently, the reconstructed growth readiness index is compared with the target growth trajectory to obtain new deviation data, and an environmental regulation strategy is regenerated accordingly. Through the above cyclical process, the growth readiness index gradually approaches the target growth trajectory, thereby achieving continuous regulation of the fruit tree growth initiation process.

[0085] Step S4: During the execution of the environmental control strategy, a decision factor is constructed based on the fruit tree status data, and the environmental control strategy is dynamically modified according to the decision factor.

[0086] Specifically, based on the fruit tree status data, bud activity sequences and branch temperature response sequences are constructed, and the bud activity sequences and branch temperature response sequences are fused to obtain a determination factor; the fruit tree growth status is determined based on the determination factor and its rate of change, and the temperature regulation parameters and photoperiod regulation parameters in the environmental control strategy are suppressed or perturbed according to the determination results, so as to generate a modified environmental control strategy and use it to re-execute the temperature and photoperiod regulation.

[0087] In this embodiment of the invention, a bud activity sequence and a branch temperature response sequence are constructed based on the fruit tree state data. The bud activity sequence is obtained by processing continuously acquired image data, for example, extracting features such as changes in bud area, edge sharpness, or brightness, and normalizing these features to form a time-varying bud activity index sequence. This sequence reflects the transition of buds from a quiescent state to a swollen state. The branch temperature response sequence is constructed based on branch surface temperature data. By comparing the difference between branch surface temperature and ambient temperature, the degree of plant tissue response to environmental changes is characterized. For example, during active growth stages, branch temperature changes are usually more sensitive, and its trend can serve as an auxiliary criterion.

[0088] After obtaining the bud activity sequence and the branch temperature response sequence, the two are fused to obtain a decision factor. In a preferred embodiment, a weighted fusion method can be used to construct the decision factor, for example:

[0089] ;

[0090] in, Indicates the decision factor. Indicates the active sequence of the bud. This represents the temperature response sequence of the branches. This is a weighting coefficient, the value of which can be set according to different fruit tree species. Through the above integration, the judgment factor can comprehensively reflect morphological changes and thermal response changes, thereby improving the accuracy of judging the growth status.

[0091] After obtaining the decision factors, their rate of change is further calculated, for example, by performing time difference analysis on the decision factor sequence to obtain the trend of change, which is used to determine the dynamic changes in growth status. When the decision factors and their rate of change are at a low level, it indicates that the fruit tree is still in the growth preparation stage; when the decision factors continue to rise and the rate of change exceeds a preset threshold, it indicates that the fruit tree has entered the growth initiation or growth acceleration stage. Through the above method, the graded determination of the fruit tree's growth status is achieved.

[0092] Based on the determination results, the temperature regulation parameters and photoperiod regulation parameters in the environmental control strategy are dynamically corrected. When the growth initiation stage is determined, the temperature regulation parameters and photoperiod regulation parameters can be suppressed, for example, by reducing the temperature regulation amplitude or reducing light input, to slow down the growth driving intensity. When the growth acceleration stage is determined, a perturbation correction can be performed, for example, by changing the temperature or photoperiod for a short period of time, to interrupt the continuous growth driving process. It should be noted that the suppression correction and perturbation correction can be continuously adjusted according to the specific value and rate of change of the determination factor, thereby ensuring the smoothness of the correction process.

[0093] After the correction is completed, a revised environmental control strategy is generated and used to re-implement temperature and photoperiod regulation. Subsequently, the growth readiness index is calculated again based on the updated environmental conditions and compared with the target growth trajectory to obtain new deviation data. Through the above iterative process, the environmental control strategy can be continuously adjusted according to the actual growth status of the fruit trees, thereby avoiding control errors caused by model bias or environmental disturbances.

[0094] It should be further noted that the construction method and fusion rules of the decision factors are not limited to the above-mentioned forms. In other embodiments, more parameters characterizing the growth state of fruit trees can be introduced, such as branch moisture content or leaf expansion degree, and decision factors can be constructed through a multivariate fusion model. The key to this application is that by introducing state feedback quantities, the environmental regulation strategy has the ability to dynamically correct itself, thereby forming a stable closed-loop control mechanism.

[0095] In other embodiments, by controlling the rate of change of relative humidity within the environmental area, the transpiration process on the branch surface is adjusted, thereby indirectly affecting the changing trend of the branch temperature response sequence. Simultaneously, by setting a low-speed circulating airflow, the air distribution inside the canopy is homogenized, reducing local temperature gradients and avoiding uneven growth caused by local hot or cold spots.

[0096] In this implementation, humidity changes and airflow distribution are not directly used as growth drivers in the calculation of the growth preparation index. Instead, they influence the construction of the decision factors by affecting the equivalent temperature and the temperature response characteristics of the branches, thereby indirectly controlling the growth initiation process. Compared to single temperature or light regulation, this method is more adaptable to scenarios where temperature fluctuations are small but growth is still prone to occur earlier.

[0097] In another implementation, temperature regulation parameters and photoperiod regulation parameters are executed in segments according to diurnal time periods. Temperature suppression regulation is prioritized during the first half of the night to maintain the temperature within a low fluctuation range, thus delaying the initial accumulation of the growth preparation index. During the second half of the night, short-term photoperiod regulation is appropriately introduced to disturb the growth-driven process, thereby preventing premature initiation due to continuous accumulation. During the daytime, no active regulation is performed, allowing the fruit trees to maintain normal metabolic processes under natural light conditions. Through this segmented regulation method, the same set of temperature and photoperiod regulation parameters establish differentiated action paths over time, achieving precise control over the growth rate of the growth preparation index and improving the stability and controllability of the regulation process.

[0098] In one specific implementation, such as Figure 3 Citrus trees were selected as the research subject. During the northward migration of subtropical cultivation, these trees are susceptible to premature shoot emergence due to warm winters and periodic temperature increases, making them highly representative. Three-year-old citrus trees were chosen as the target trees. During the spring budding and growth stage, a covering structure 60 was installed over the canopy area. Within the enclosed environment of the covering structure 60, temperature detection devices 10, light detection devices 20, image acquisition devices 30, temperature regulation devices 40, and photoperiod regulation devices 50 were installed to create a controllable local environment.

[0099] During the experiment, a continuous 10-day observation period was used, and the growth preparation index was used as a longitudinal characterization index to record the budding and growth process of fruit trees. The growth preparation index was obtained by normalizing the changes in bud morphology and environmental driving factors, and it can reflect the degree to which the buds transition from a dormant state to a growth initiation state.

[0100] like Figure 3As shown in (a), without implementing the control methods of this application, relying solely on natural environmental conditions, the fruit tree growth process exhibits a clear trend of premature growth. Specifically, around day 3, the growth preparation index enters a rapid growth phase and reaches a high level on day 5, approximately 1.5 to 2 days earlier than the expected growth curve. This stage corresponds to the common phenomenon of premature shoot emergence in actual production, where fruit trees rapidly enter a growth state under conditions of short-term temperature increases, and are easily damaged by subsequent temperature drops.

[0101] Furthermore, such as Figure 3 As shown in (b), after implementing the control method described in this application, the evolution process of the growth readiness index changes significantly by synergistically regulating the temperature and photoperiod within the environmental area. During the first three days, the growth readiness index is maintained at a low level by reducing the rate of temperature change and suppressing light input. From the fourth to the sixth day, the growth readiness index enters a phase of gradual increase by moderately adjusting the temperature and photoperiod. After the sixth day, the growth readiness index gradually approaches the desired growth curve and essentially coincides with the desired curve around the eighth day.

[0102] As can be seen from the curve morphology, the regulated growth curve maintains a consistent overall trend with the desired growth curve, and its growth inflection point and growth rate match the desired state. Unlike the premature growth under unregulated conditions, the growth process in this implementation method achieves effective delay in the time dimension, while not changing the continuity and smoothness of the growth curve, indicating that this regulation method will not have an adverse effect on the normal physiological processes of the fruit tree.

[0103] It should be noted that in this embodiment, the temperature regulating device 40 is a combination of a heating belt wrapped around the trunk and main branches and a small hot air device placed under the canopy; the photoperiod regulating device 50 is implemented using a low-power LED supplemental light; and the covering structure 60 is a dome-shaped enclosure structure constructed from a transparent plastic film. The above structure is only a preferred implementation; in practical applications, various devices can be adjusted according to the type of fruit tree and planting conditions.

[0104] Furthermore, the curve shown in this embodiment is only a typical expression. The expected growth curve and the actual response curve may differ for different fruit tree species and under different climatic conditions. However, by dynamically regulating the growth preparation index using the method of this application, the effective adjustment of the growth initiation time can be achieved, thereby improving the matching degree between the phenological stage and the target climatic window.

[0105] like Figure 4As shown, this invention provides a fruit tree phenological stage delay regulation system. The system includes: a parameter acquisition unit, used to acquire environmental parameter data and fruit tree status data within an environmental area enclosed by a covering structure 60 of a target fruit tree canopy, and construct an equivalent operating temperature based on the environmental parameter data and the fruit tree status data; a deviation data determination unit, used to construct a growth preparation index based on the equivalent operating temperature and light intensity data in the environmental parameter data, and construct a target growth trajectory according to a preset delay target, to obtain deviation data between the growth preparation index and the target growth trajectory; an adjustment unit, used to generate an environmental regulation strategy based on the deviation data, and adjust the temperature and photoperiod within the environmental area based on the environmental regulation strategy to drive the growth preparation index to evolve along the target growth trajectory; and a correction unit, used to construct a judgment factor based on the fruit tree status data during the execution of the environmental regulation strategy, and dynamically correct the environmental regulation strategy according to the judgment factor.

[0106] Optionally, the parameter acquisition unit includes: a temperature detection device 10, used to acquire temperature data within the environmental area and branch surface temperature data; a light detection device 20, used to acquire light intensity data within the environmental area; and an image acquisition device 30, used to acquire image data of the target fruit tree canopy area. The adjustment unit includes: a temperature adjustment device 40, used to adjust the temperature change process within the environmental area according to temperature adjustment parameters to change the equivalent temperature; and a photoperiod adjustment device 50, used to adjust the light input within the environmental area according to photoperiod adjustment parameters to change the light contribution sequence. The temperature adjustment parameters and the photoperiod adjustment parameters are obtained based on the analysis of the environmental control strategy.

[0107] In one embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as follows: Figure 5 As shown, the computer device includes a processor A01, a network interface A02, memory (not shown), and a database (not shown) connected via a system bus. The processor A01 provides computing and control capabilities. The memory includes internal memory A03 and a non-volatile storage medium A04. The non-volatile storage medium A04 stores an operating system B01, a computer program B02, and a database (not shown). The internal memory A03 provides an environment for the operation of the operating system B01 and the computer program B02 stored in the non-volatile storage medium A04. The network interface A02 is used for communication with external terminals via a network connection. When the computer program B02 is executed by the processor A01, it implements a method for delayed regulation of fruit tree phenological stages.

[0108] Those skilled in the art will understand that all or part of the steps in the methods of the above embodiments can be implemented by a program instructing related hardware. This program is stored in a storage medium and includes several instructions to cause a microcontroller, chip, or processor to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as a USB flash drive, a portable hard drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.

[0109] The optional embodiments of the present invention have been described in detail above with reference to the accompanying drawings. However, the embodiments of the present invention are not limited to the specific details described above. Within the scope of the technical concept of the embodiments of the present invention, various simple modifications can be made to the technical solutions of the embodiments of the present invention, and these simple modifications all fall within the protection scope of the embodiments of the present invention. It should also be noted that the various specific technical features described in the above specific embodiments can be combined in any suitable manner without contradiction. To avoid unnecessary repetition, the embodiments of the present invention will not further describe the various possible combinations.

[0110] Furthermore, various different embodiments of the present invention can be combined in any way, as long as they do not violate the spirit of the embodiments of the present invention, they should also be regarded as the content disclosed by the embodiments of the present invention.

Claims

1. A method for delaying and regulating the phenological stages of fruit trees, characterized in that, The method includes: Environmental parameter data and fruit tree status data are obtained within the environmental area enclosed by the canopy of the target fruit tree and the covering structure. An equivalent operating temperature is then constructed based on the environmental parameter data and the fruit tree status data. Acquiring environmental parameter data and fruit tree status data within the environmental area enclosed by the canopy of the target fruit tree includes: acquiring temperature data and light intensity data within the environmental area at preset time intervals as the environmental parameter data; simultaneously, acquiring branch surface temperature data based on temperature detection devices deployed on the branch surface of the target fruit tree, and extracting bud morphological features based on image acquisition results of the canopy area of ​​the target fruit tree to construct bud activity data as the fruit tree status data; Constructing an equivalent effect temperature based on the environmental parameter data and the fruit tree status data includes: constructing a temperature time series based on the temperature data in the environmental parameter data at preset time intervals, and calculating the rate of temperature change between adjacent time points based on the temperature time series; performing hysteresis compensation processing on the temperature data based on the rate of temperature change to obtain corrected temperature data for characterizing the dynamic impact of temperature changes; and performing weighted fusion processing on the branch surface temperature data in the fruit tree status data and the corrected temperature data to obtain the equivalent effect temperature. Based on the equivalent operating temperature and the light intensity data in the environmental parameter data, a growth preparation index is constructed, and a target growth trajectory is constructed according to a preset delay target to obtain the deviation data between the growth preparation index and the target growth trajectory; wherein... Based on the equivalent operating temperature and the light intensity data in the environmental parameter data, a growth preparation index is constructed, including: constructing an equivalent temperature time series based on the equivalent operating temperature, and mapping the equivalent temperature time series to a corresponding temperature contribution series according to a preset temperature response rule; constructing a light intensity time series based on the light intensity data, and mapping the light intensity time series to a corresponding light contribution series according to a preset light response rule; performing time-by-time combination calculations of the temperature contribution series and the light contribution series to obtain a growth driving sequence, and performing cumulative calculations of the growth driving sequence to obtain the growth preparation index; An environmental control strategy is generated based on the deviation data, and the temperature and photoperiod within the environmental area are adjusted based on the environmental control strategy to drive the growth preparation index to evolve along the target growth trajectory. During the execution of the environmental control strategy, a decision factor is constructed based on the fruit tree status data, and the environmental control strategy is dynamically modified according to the decision factor.

2. The method for delaying and regulating the phenological stages of fruit trees according to claim 1, characterized in that, A target growth trajectory is constructed based on a preset delay target to obtain deviation data between the growth preparation index and the target growth trajectory, including: Based on the preset delay target, a corresponding target delay duration is determined, and a target time series is constructed according to the target delay duration; The target time series is mapped to a target growth trajectory sequence based on a preset growth process accumulation rule; Based on the growth preparation index, a corresponding actual growth trajectory sequence is constructed, and the actual growth trajectory sequence is compared with the target growth trajectory sequence at each time step to obtain deviation data.

3. The method for delaying and regulating the phenological stages of fruit trees according to claim 2, characterized in that, An environmental control strategy is generated based on the aforementioned deviation data, including: Based on the deviation data, the corresponding deviation direction and deviation amplitude are determined, and the growth preparation state is determined to be either insufficient delay or excessive delay based on the deviation direction. When the delay is determined to be insufficient, a first control parameter is generated based on the deviation amplitude to reduce the rate of temperature change in the environmental area and suppress light input. When the delay is determined to be excessive, a second control parameter is generated based on the deviation amplitude to increase the temperature in the environmental region and increase the photoperiod perturbation. A growth rate sequence is constructed based on the deviation data, and when the growth rate sequence meets a preset rate threshold condition, a perturbation control parameter is generated for performing short-term perturbations on the temperature and the photoperiod. The first control parameter, the second control parameter, and the disturbance control parameter are combined to form an environmental control strategy.

4. The method for delaying and regulating the phenological stages of fruit trees according to claim 3, characterized in that, Based on the environmental regulation strategy, the temperature and photoperiod within the environmental region are adjusted to drive the growth readiness index to evolve along the target growth trajectory, including: The control parameters in the environmental control strategy are analyzed into corresponding temperature control parameters and photoperiod control parameters. Based on the temperature control parameters, the temperature control device set in the environmental area is controlled to adjust the temperature change process in the environmental area, so as to change the equivalent temperature. Based on the photoperiod adjustment parameters, the photoperiod adjustment device set in the environmental area adjusts the light input corresponding to the light intensity data to change the light contribution sequence. The growth preparation index is reconstructed based on the adjusted equivalent temperature and the adjusted light contribution sequence, and the reconstructed growth preparation index is compared with the target growth trajectory to drive the growth preparation index to evolve along the target growth trajectory.

5. The method for delaying and regulating the phenological stages of fruit trees according to claim 4, characterized in that, During the implementation of the environmental control strategy, a decision factor is constructed based on the fruit tree status data, and the environmental control strategy is dynamically modified according to the decision factor, including: Based on the fruit tree status data, bud activity sequences and branch temperature response sequences are constructed, and the bud activity sequences and branch temperature response sequences are fused to obtain a decision factor. The growth status of fruit trees is determined based on the determination factors and their rate of change. Based on the determination results, the temperature regulation parameters and photoperiod regulation parameters in the environmental control strategy are suppressed or disturbed to generate a modified environmental control strategy and to re-execute the temperature and photoperiod regulation.

6. A system for delaying and regulating the phenological stages of fruit trees, characterized in that, The system is used to execute the fruit tree phenological stage delay regulation method according to any one of claims 1-5, the system comprising: The parameter acquisition unit is used to acquire environmental parameter data and fruit tree status data within the environmental area enclosed by the canopy of the target fruit tree and the fruit tree status data, and to construct an equivalent operating temperature based on the environmental parameter data and the fruit tree status data. The deviation data determination unit is used to construct a growth preparation index based on the equivalent operating temperature and the light intensity data in the environmental parameter data, and to construct a target growth trajectory according to a preset delay target, so as to obtain the deviation data between the growth preparation index and the target growth trajectory. An adjustment unit is used to generate an environmental control strategy based on the deviation data, and to adjust the temperature and photoperiod within the environmental area based on the environmental control strategy, so as to drive the growth preparation index to evolve along the target growth trajectory. The correction unit is used to construct a determination factor based on the fruit tree status data during the execution of the environmental control strategy, and to dynamically correct the environmental control strategy according to the determination factor.

7. The fruit tree phenological stage delay regulation system according to claim 6, characterized in that, The parameter acquisition unit includes: Temperature detection device, used to acquire temperature data within the environmental area and to acquire temperature data on the surface of the branches; A light intensity detection device is used to acquire light intensity data within the environmental area; Image acquisition device, used to acquire image data of the canopy area of ​​the target fruit tree; The adjustment unit includes: A temperature control device is used to adjust the temperature change process within the environmental area according to temperature control parameters, so as to change the equivalent operating temperature. A photoperiod adjustment device is used to adjust the illumination input within the environmental area according to photoperiod adjustment parameters, so as to change the illumination contribution sequence; wherein, The temperature regulation parameters and the photoperiod regulation parameters are obtained based on the analysis of the environmental control strategy.

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