Plant lighting method, plant lighting system, storage medium and program product

Abstract

A plant lighting method, plant lighting system, storage medium, and program product relate to the field of plant lighting. The method includes: determining the target illumination duration, target spectrum, and target illumination intensity required by the target plant based on the growth stage of the target plant in the target planting area; determining the cumulative duration of effective sunlight exposure for the target plant based on the sunlight intensity in the target planting area; if the cumulative duration is less than the target illumination duration, determining whether the growth stage is in a preset critical growth stage; if so, setting the photovoltaic panel to tracking mode; if not, setting the photovoltaic panel to normal mode; and controlling the photovoltaic panel to stop supplemental illumination when the supplemental illumination duration exceeds the difference between the target illumination duration and the cumulative duration. Implementing this method improves the illumination efficiency and effectiveness of plant growth.

Description

Technical Field

[0001] The present application relates to the field of plant lighting, and in particular to a plant lighting method, a plant lighting system, a storage medium, and a program product. Background Art

[0002] Plant lighting technology is gaining increasing attention in modern agriculture, particularly in facilities like plant factories, greenhouses, and vertical farms. Providing plants with the necessary light conditions through artificial light sources not only prolongs their growth cycle but also improves crop yield and quality. Scientifically designed plant lighting can simulate natural light environments, meet the light needs of plants at different growth stages, and promote photosynthesis and other physiological activities.

[0003] Existing plant lighting systems typically use fixed artificial light sources, such as LEDs or fluorescent lamps. These systems provide the required lighting conditions for plants by setting a fixed spectrum, light intensity, and duration. Common solutions include using timers and dimmers to control the on / off and brightness of the light sources, ensuring that plants receive sufficient and appropriate light to support normal growth and development.

[0004] While existing plant lighting systems can provide basic lighting conditions for plants, their fixed light sources and lighting parameter settings have certain limitations. Because plants have different requirements for light spectrum and light intensity at different growth stages, existing systems are unable to flexibly adjust lighting to meet these needs. Summary of the Invention

[0005] The present application provides a plant lighting method, a plant lighting system, a storage medium and a program product for improving the lighting efficiency and effect of plant growth.

[0006] In a first aspect, the present application provides a plant lighting method, which is applied to a plant lighting system, the method comprising: determining the target illumination duration, target spectrum, and target illumination intensity required for the target plant according to the growth stage of the target plant in the target planting area; determining the cumulative duration of the target plant under effective sunlight according to the sunlight intensity in the target planting area, where the effective sunlight is sunlight with an intensity within a preset range of illumination intensity; if the cumulative duration is lower than the target illumination duration, determining whether the growth stage is in a preset critical growth stage; if so, setting the photovoltaic panel to In tracking mode, the target plant is supplemented with light using the target spectrum and target light intensity, and the supplementary light duration is obtained. Tracking mode is used to indicate that the photovoltaic panel monitors the position of the target plant in real time through the built-in sensor and rotates 360 degrees freely to aim at the target plant for supplementary light. If it is not in tracking mode, the photovoltaic panel is set to normal mode, and the target plant is supplemented with light using the target spectrum and target light intensity, and the supplementary light duration is obtained. Normal mode is used to indicate that the photovoltaic panel is fixed in a preset position to supplement the target plant. When the supplementary light duration exceeds the difference between the target light duration and the cumulative duration, the photovoltaic panel is controlled to stop supplementary light.

[0007] In the above embodiment, the target illumination duration, target spectrum, and target illumination intensity required by plants at different growth stages are different. The plant lighting system determines the target illumination duration, target spectrum, and target illumination intensity required by the target plants according to the growth stage of the target plants, so that the target plants can be illuminated in a targeted manner. The plant lighting system regards daylight illumination with an intensity within a preset illumination intensity range as effective daylight illumination, and determines the cumulative duration of the target plants under effective daylight illumination. If the cumulative duration is lower than the target illumination duration, it means that the illumination duration obtained by the target plants is insufficient, and the plant lighting system is required to provide supplementary light for them. The method of supplementary lighting depends on whether the growth stage is in the preset critical growth stage. If the growth stage is in the preset critical growth stage, it means that the light at this stage is crucial for the target plant. The photovoltaic panel needs to be set to tracking mode to achieve 360-degree free rotation to provide targeted supplementary lighting to the target plant. The lighting parameters can be adjusted as needed to provide personalized and precise lighting support for the plant. If the growth stage is not in the preset critical growth stage, it means that there is no need to consume too many resources to supplement the light for the target plant at this stage. The plant lighting system only sets the photovoltaic panel to normal mode, that is, the photovoltaic panel is fixed in the preset position to supplement the light for the target plant, thereby promoting plant growth. When the supplementary lighting duration exceeds the difference between the target lighting duration and the cumulative duration, the photovoltaic panel is controlled to stop supplementary lighting. This adaptive supplementary lighting solution realizes automatic identification and response to the light requirements of plants at different growth stages, improving the quality of plant growth.

[0008] In combination with some embodiments of the first aspect, in some embodiments, the target illumination duration, target spectrum and target light intensity required for the target plant are determined according to the growth stage of the target plant in the target planting area, specifically including: inputting the target image data of the target plant in the target planting area into a preset plant growth model to obtain the type and growth stage of the target plant; determining the target illumination duration, target spectrum and target light intensity required for the target plant according to the type, growth stage and preset plant knowledge base of the target plant, the plant knowledge base including the illumination parameters of different types of plants at various growth stages, and the illumination parameters including illumination duration, spectrum and light intensity.

[0009] In the above-mentioned embodiment, the plant lighting system automatically identifies the target plant's species and growth stage by inputting target image data of the target plant into a preset plant growth model. The system then determines the target plant's precise lighting requirements based on the lighting parameters for each growth stage of different plant species stored in a preset plant knowledge base. This enables automated identification and parameter extraction of the lighting requirements of different individual plants during their ever-changing growth stages. This enables accurate identification of plant information and automatic acquisition of lighting requirement parameters, providing support for personalized, precise supplemental lighting.

[0010] In combination with some embodiments of the first aspect, in some embodiments, before the step of inputting the image data of the target plants in the target planting area into a preset plant growth model to obtain the type and growth stage of the target plants, the method also includes: obtaining image data of different types of plants at various growth stages; using the image data as input features and the type and growth stage as output features; using the input features and output features to train the preset model to obtain the accuracy of the preset model; when the accuracy exceeds a preset accuracy threshold, obtaining a plant growth model.

[0011] In the above-mentioned embodiment, the plant lighting system acquires image data of different plant species at multiple growth stages and uses machine learning methods to train a plant growth model. This enables intelligent and automatic identification of plant species and growth stages, improving the accuracy of plant information extraction. This enables intelligent and automated plant identification and model training, providing a foundation for subsequent individualized plant information extraction and precise supplemental lighting decisions.

[0012] In combination with some embodiments of the first aspect, in some embodiments, the cumulative duration of the target plant under effective daylight illumination is determined based on the daylight intensity in the target planting area, where effective daylight illumination is daylight illumination whose intensity is within a preset light intensity range, specifically including: when the target plant is under effective daylight illumination, triggering the timing device to start timing; when the target plant is not under effective daylight illumination, triggering the timing device to stop timing; and accumulating the recorded duration of the timing device to obtain the cumulative duration of the target plant under effective daylight illumination.

[0013] In the above embodiment, the plant lighting system detects the effective daylight exposure actually received by the target plant and uses a timing device to record the cumulative duration of effective daylight exposure. The timing starts when the target plant is exposed to effective daylight and ends when the target plant is not exposed to effective daylight. This constitutes a round, and the cumulative duration of multiple rounds of effective daylight exposure is calculated. This accurately captures the actual daylight exposure conditions of the target plant, providing data support for subsequent determinations of whether supplemental lighting is needed and the duration of supplemental lighting. This achieves accurate monitoring and data extraction of the actual effective daylight amount received by the plant, laying the foundation for scientific and reasonable supplemental lighting decisions.

[0014] In combination with some embodiments of the first aspect, in some embodiments, after the step of controlling the photovoltaic panel to stop supplementary lighting when the supplementary lighting duration exceeds the difference between the target lighting duration and the cumulative duration, the method also includes: obtaining the growth assessment results of the target plant; recording the growth assessment results and the supplementary lighting plan into a preset supplementary lighting table, the supplementary lighting plan including the mode, spectrum, light intensity and supplementary lighting duration of the photovoltaic panel.

[0015] In the above embodiment, the plant lighting system records each lighting process, obtains plant growth assessment results, and records these growth assessment results and lighting plan in a preset lighting table. This allows for continuous tracking and assessment of plant growth, determining whether the lighting plan is scientific and reasonable. Based on the growth assessment results, the lighting strategy can be proactively adjusted to continuously optimize the plant's lighting needs. This allows for tracking and assessment of the entire plant growth cycle, enabling continuous improvement and optimization of the lighting plan.

[0016] In combination with some embodiments of the first aspect, in some embodiments, the method also includes: determining the optimal fill light position of the target plant based on the target image data of the target plant; when the growth assessment result does not meet the preset growth result, controlling the photovoltaic panel to move to the optimal fill light position to fill light the target plant.

[0017] In the above embodiment, the plant lighting system can determine the optimal fill light position for the target plant based on the target image data of the target plant. If abnormal growth is detected, the fill light position is proactively adjusted, ensuring that the target plant receives more adequate and even lighting, improving the targeted fill light. This technical approach can continuously track the position changes of the target plant and adjust the lighting angle to achieve more precise fill light illumination for individual target plants.

[0018] In combination with some embodiments of the first aspect, in some embodiments, the method further includes: when the presence of pests and diseases on the target plant is detected based on the target image data of the target plant, controlling the photovoltaic panel to enter a wavelength conversion mode to emit a light signal of a preset wavelength to expel the pests and diseases.

[0019] In the above embodiment, when the plant lighting system detects the presence of pests and diseases on a target plant through its target image data, it causes the photovoltaic panel to enter a wavelength conversion mode to emit a light signal of a preset wavelength to repel the pests and diseases, thereby protecting the target plant and improving its healthy growth rate. This enables active monitoring and response to plant growth anomalies, promoting normal and healthy plant growth.

[0020] In a second aspect, an embodiment of the present application provides a plant lighting system, which includes: one or more processors and a memory; the memory is coupled to the one or more processors, the memory is used to store computer program code, the computer program code includes computer instructions, and the one or more processors call the computer instructions to enable the plant lighting system to perform the method described in the first aspect and any possible implementation of the first aspect.

[0021] In a third aspect, an embodiment of the present application provides a computer program product comprising instructions. When the computer program product is run on a plant lighting system, the plant lighting system executes the method described in the first aspect and any possible implementation of the first aspect.

[0022] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium comprising instructions. When the instructions are executed on a plant lighting system, the plant lighting system executes the method described in the first aspect and any possible implementation of the first aspect.

[0023] It is understood that the plant lighting system provided in the second aspect, the computer program product provided in the third aspect, and the computer storage medium provided in the fourth aspect are all used to execute the methods provided in the embodiments of this application. Therefore, the beneficial effects achievable by these methods can be referenced to the beneficial effects of the corresponding methods and will not be further elaborated here.

[0024] One or more technical solutions provided in the embodiments of this application have at least the following technical effects or advantages:

[0025] 1. Due to the adoption of technical means for automatically determining the light compensation scheme according to the growth stage of the target plant and the required light conditions, the light requirements of the plants at each growth stage are accurately met. Therefore, the present invention can identify the growth information of the plants in real time and provide personalized light support, effectively solving the problem in the existing technology that fixed light modes and parameters are difficult to adapt to the differences in the needs of plants at different stages, thereby achieving continuous optimization and satisfaction of the light requirements during the plant growth cycle, thereby significantly improving the growth quality of the plants.

[0026] 2. By adopting image recognition and machine learning to train plant growth models, the system can automatically and accurately identify different plant species and growth stages, effectively solving the problem of the existing technology being unable to accurately extract individual plant information. This enables intelligent plant identification and parameter acquisition, providing reliable support for individualized and precise fill lighting decisions, thereby significantly improving the pertinence and effectiveness of fill lighting.

[0027] 3. Due to the adoption of technical means to continuously record, evaluate and optimize each lighting process, the lighting strategy can be adjusted and optimized according to the actual growth conditions of the plants, effectively solving the problem of dynamic adjustment of lighting modes and lighting parameters in existing technologies. It then realizes the continuous tracking, evaluation and optimization of lighting schemes of plant growth processes, so that plants can obtain continuous personalized lighting support, thereby significantly improving the healthy growth rate of plants. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] Figure 1 This is a flow chart of the plant lighting method in an embodiment of the present application;

[0029] Figure 2 This is another flow chart of the plant lighting method according to an embodiment of the present application;

[0030] Figure 3 This is a schematic diagram of the structure of a physical device of the plant lighting system in the embodiment of the present application. DETAILED DESCRIPTION

[0031] The terms used in the following examples of the present application are only for the purpose of describing specific embodiments and are not intended to limit the present application. As used in the specification of the present application, the singular expressions "a", "an", "above", "the", and "this" are intended to include plural expressions as well, unless the context clearly indicates otherwise. It should also be understood that the term "and / or" used in the present application refers to any or all possible combinations of one or more of the listed items.

[0032] In the following, the terms "first" and "second" are used for descriptive purposes only and should not be understood to imply or suggest relative importance or implicitly indicate the number of the technical features indicated. Therefore, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. In the description of the embodiments of this application, unless otherwise specified, "plurality" means two or more.

[0033] The following is a description of the process of the method provided by this implementation. Figure 1 , is a flow chart of the plant lighting method in an embodiment of the present application.

[0034] S101, determining the target illumination duration, target spectrum, and target illumination intensity required by the target plants according to the growth stage of the target plants in the target planting area;

[0035] Different plants require different light conditions at different growth stages. These conditions include the duration of the daylight, the light spectrum, and the light intensity. Duration refers to the number of hours of sunlight required per day. The light spectrum refers to the wavelengths of light required (for example, blue light promotes leaf growth, red light promotes flowering and fruiting). Light intensity is typically measured in micromoles per square meter per second (μmol / m² / s) or lux.

[0036] The growth stages of plants can generally be divided into the following main stages:

[0037] Germination

[0038] Seedling

[0039] Vegetative Growth

[0040] Flowering

[0041] Fruiting

[0042] The plant lighting system can obtain the lighting conditions required for the target plant at different growth stages based on the growth knowledge base corresponding to the target plant. For example, if the target plant is wheat and is in the seedling stage, the plant lighting system can refer to the stored wheat growth knowledge base to determine the lighting conditions required for the wheat seedling stage, including the lighting duration of about 16 hours, the spectrum is mainly red light and blue light, and the light intensity is maintained at about 8000 lumens to meet the growth needs of wheat seedlings. When determining the target lighting parameters, the plant lighting system will also consider specific planting environment, climatic conditions, wheat varieties and other information to ensure the scientific nature and pertinence of the lighting parameters. In actual applications, the plant lighting system can identify different varieties of various plants and determine the precise lighting requirements of the individual plant at the current stage based on stored botanical knowledge or new knowledge at each growth stage throughout its life cycle.

[0043] S102: Determine the cumulative duration of effective sunlight exposure for the target plant based on the sunlight intensity of the target planting area, where effective sunlight exposure refers to sunlight exposure with an intensity within a preset range of light intensity.

[0044] Horticulture lighting systems can monitor sunlight intensity in target planting areas using a light meter or related sensors, as light is a key factor in plant photosynthesis and growth. Plants vary in their light requirements, with some preferring shade and others preferring sun. By monitoring light intensity, plants can be guaranteed to receive the appropriate amount of light, preventing growth retardation from insufficient light and photoinhibition or burns from excessive light. When sunlight intensity is within the preset range, the target plants are confirmed to be receiving effective sunlight, which is beneficial for growth.

[0045] The preset light intensity range is set according to the photosynthesis requirements and growth habits of the target plant. For example, for tomatoes, the suitable preset light intensity range may be between 200-800μmol / m²s, while succulents may require lower light intensity. Therefore, their suitable preset light intensity range is lower than the preset light intensity range of tomatoes.

[0046] The cumulative duration of effective daylight exposure for a target plant refers to the total duration of effective daylight exposure over a period of time (such as a week, a month, or an entire growing season). This metric is crucial for assessing plant growth and managing light intensity. For example, if the cumulative duration of effective daylight exposure over a month is significantly lower than the plant's needs, supplemental lighting may be necessary.

[0047] The collected sunlight intensity data for the target planting area requires detailed analysis to determine the effective duration of daylight exposure within the preset light intensity range. This process can be performed using data analysis software to filter out time periods that meet the criteria. For example, if the data shows that there are six hours in a day with a sunlight intensity between 400-700 μmol / m²s, then these six hours are considered the cumulative duration of effective daylight exposure for the target plant.

[0048] Optionally, under normal circumstances, the cumulative duration of the target plant under effective daylight illumination is determined based on the daylight intensity of the target planting area. Effective daylight illumination is daylight illumination with an intensity within a preset light intensity range. This can be achieved in the following way: when the target plant is under effective daylight illumination, the timing device is triggered to start timing; when the target plant is not under effective daylight illumination, the timing device is triggered to stop timing; the recorded duration of the timing device is accumulated to obtain the cumulative duration of the target plant under effective daylight illumination.

[0049] The plant lighting system divides the daylight intensity levels into different ranges, among which the daylight within the light intensity range suitable for plant growth (preset light intensity range) is recognized as effective daylight. For example, the preset light intensity range suitable for wheat growth can be determined as 4000-10000 lumens. When the daylight intensity received in the planting area is within this range, the plant lighting system will trigger the timing device to record the cumulative duration of effective daylight. When the target plant is in effective daylight, the timing starts, and when the target plant is not in effective daylight, the timing ends. This is considered a round, and the cumulative duration of multiple rounds of effective daylight is calculated, so that the actual daylight conditions of the target plant can be accurately obtained.

[0050] S103: If the accumulated duration is less than the target illumination duration, determine whether the growth stage is in a preset critical growth stage;

[0051] After obtaining the accumulated time, the plant lighting system will compare the growth stage of the target plant with the preset key growth stage to determine whether the growth stage is in the preset key growth stage. Because in the critical growth stage of the target plant, the plant management system can adopt the photovoltaic panel tracking mode, that is, through the built-in sensor to monitor the position of the sun in real time, and automatically adjust the angle of the photovoltaic panels to ensure that they are always facing the sun, thereby receiving the maximum amount of effective light. And the tracking mode can optimize the lighting angle, reduce shadows and reflections, so that the plant leaves receive more direct light and improve the efficiency of photosynthesis. During the critical growth stages of plants, such as flowering or fruit development, appropriate light is essential for the growth and development of plants. The tracking system can provide continuous and uniform light, which helps to improve the yield and quality of crops.

[0052] When the target plant's growth stage is not at a predetermined critical stage, the plant management system can adopt a fixed photovoltaic panel mode. This is because fixed lighting is generally simpler than tracking lighting, not requiring complex sensors and actuators, and therefore lowering costs. Furthermore, due to its simple structure, fixed lighting generally requires less maintenance, making it suitable for use during non-critical plant growth stages.

[0053] S104: If yes, set the photovoltaic panel to tracking mode, provide supplementary light to the target plant with the target spectrum and target light intensity, and obtain the supplementary light duration. The tracking mode means that the photovoltaic panel monitors the position of the target plant in real time through the built-in sensor and rotates 360 degrees freely to aim at the target plant for supplementary light.

[0054] If the horticulture lighting system determines that the target plant's growth stage is at a preset critical stage, it means that the target plant is currently in a particularly important period in its growth cycle, such as germination, flowering, or fruiting. During these periods, the target plant requires higher photosynthetic efficiency to support rapid growth or flowering and fruiting. Therefore, providing the appropriate light intensity and spectrum can maximize photosynthetic efficiency.

[0055] When sunlight is insufficient, the plant lighting system needs to control the photovoltaic panels to start tracking mode. In tracking mode, the photovoltaic panels can use built-in sensors and motion mechanisms to monitor and track the position of the target plants in real time, making free adjustments within a 360-degree range to continuously aim at the target plants for supplementary lighting. For example, in a greenhouse planting environment, photovoltaic panels can be installed on tracks, and plants can be planted in mobile cultivation boxes. When the mobile cultivation boxes move, the photovoltaic panels can detect the new position of the plants and drive the panels to rotate to align with the plants to continue supplementary lighting, thereby ensuring that the plants receive the required light intensity.

[0056] S105: If not, setting the photovoltaic panel to a normal mode, providing supplemental lighting to the target plant with a target spectrum and target light intensity, and obtaining a supplemental lighting duration. The normal mode indicates that the photovoltaic panel is fixed at a preset position to provide supplemental lighting to the target plant.

[0057] If the plant lighting system determines that the target plant's growth stage is not at a preset critical stage, the system will set the photovoltaic panel to normal mode. In normal mode, the photovoltaic panel is fixed in a pre-set position, maintaining a stable fill light angle and direction to supplement the target plant's lighting. This normal mode is mainly used for daily light supplementation during the plant's overall growth period, without the need for tracking. For example, in field crop cultivation, multiple fixed photovoltaic fill light devices can be planned in the field to form a lighting network to improve the uniformity of light throughout the entire planting area.

[0058] S106: When the fill-in lighting duration exceeds the difference between the target illumination duration and the accumulated illumination duration, the photovoltaic panel is controlled to stop fill-in lighting.

[0059] During the supplemental lighting process, the plant lighting system monitors the duration of supplemental lighting in real time, also known as the supplemental lighting duration. When the supplemental lighting duration exceeds the difference between the target lighting duration and the cumulative duration, it indicates that the target plant's lighting needs are being met. At this time, the plant lighting system controls the photovoltaic panels to stop supplemental lighting to avoid light overload. In subsequent growth cycles, the plant lighting system will cyclically re-detect the target plant's lighting needs and the amount of daylight available, and start or stop supplemental lighting at the appropriate time, implementing a scientific and reasonable supplemental lighting strategy to promote good plant growth.

[0060] In the above embodiment, the target illumination duration, target spectrum, and target illumination intensity required by plants at different growth stages are different. The plant lighting system determines the target illumination duration, target spectrum, and target illumination intensity required by the target plants according to the growth stage of the target plants, so that the target plants can be illuminated in a targeted manner. The plant lighting system regards daylight illumination with an intensity within a preset illumination intensity range as effective daylight illumination, and determines the cumulative duration of the target plants under effective daylight illumination. If the cumulative duration is lower than the target illumination duration, it means that the illumination duration obtained by the target plants is insufficient, and the plant lighting system is required to provide supplementary light for them. The method of supplementary lighting depends on whether the growth stage is in the preset critical growth stage. If the growth stage is in the preset critical growth stage, it means that the light at this stage is crucial for the target plant. The photovoltaic panel needs to be set to tracking mode to achieve 360-degree free rotation to provide targeted supplementary lighting to the target plant. The lighting parameters can be adjusted as needed to provide personalized and precise lighting support for the plant. If the growth stage is not in the preset critical growth stage, it means that there is no need to consume too many resources to supplement the light for the target plant at this stage. The plant lighting system only sets the photovoltaic panel to normal mode, that is, the photovoltaic panel is fixed in the preset position to supplement the light for the target plant, thereby promoting plant growth. When the supplementary lighting duration exceeds the difference between the target lighting duration and the cumulative duration, the photovoltaic panel is controlled to stop supplementary lighting. This adaptive supplementary lighting solution realizes automatic identification and response to the light requirements of plants at different growth stages, improving the quality of plant growth.

[0061] The following is a more detailed description of the process of the method provided by this implementation. Figure 2 , is another flow chart of the plant lighting method in an embodiment of the present application.

[0062] S201, obtaining image data of different plant species at various growth stages; using the image data as input features and the species and growth stage as output features; training a preset model using the input features and the output features to obtain the accuracy of the preset model; when the accuracy exceeds a preset accuracy threshold, obtaining a plant growth model;

[0063] The steps to build a deep learning-based plant growth model are as follows:

[0064] First, the plant lighting system collects image data of various plants at different growth stages. This image data needs to cover all growth stages of plants, from seed germination to maturity, to ensure that the model can learn and understand the entire process of plant growth. The plant lighting system then determines the plant species and growth stage corresponding to each image in the image data through expert annotation. The plant lighting system stores the collected image data, species, and growth stage in a dataset D, with each data item in the format of (image data, species, and growth stage). Among them, the image data is the input feature of the model training, and the species and growth stage are the output features of the model training.

[0065] Secondly, the plant lighting system performs data preprocessing on the dataset D and deletes the missing data and abnormal data (such as records with empty image data or image clarity lower than a preset clarity threshold) in the dataset D.

[0066] The plant lighting system then constructed an LSTM-based recurrent neural network, consisting of an input layer, two LSTM hidden layers, a fully connected layer, and an output layer. The input layer fed the image data, while the hidden layer had 64 nodes and the fully connected layer had 32 nodes. The output layer outputted the species and growth stage.

[0067] Next, the plant lighting system uses the Adam optimizer with a learning rate of 0.001 and a training batch size of 32. These settings can be customized and are not set here. 80% of the data in dataset D is divided into a training set and 20% into a validation set. Training is performed for 100 epochs, and the model with the highest validation set accuracy is retained. This can also be customized and is not set here. An epoch is the process of passing the entire training dataset through the neural network once. In machine learning and deep learning, an epoch is a unit used to measure the number of times the entire training set is repeatedly learned. Specifically, an epoch is completed when the neural network completes a forward computation and backward propagation process, meaning that all data has been processed once. The plant lighting system uses binary cross entropy as the loss function and employs early stopping to prevent overfitting. When the loss function value exceeds a preset threshold, model training is considered complete, resulting in a plant growth model. Early stopping is a technique in deep learning and machine learning to prevent overfitting by monitoring the model's performance on the validation set to determine when to stop training.

[0068] Finally, the plant lighting system feeds the input features from the validation set into the plant growth model, which then generates the model's predicted output. The predicted output is then compared with the actual output features from the validation set, using performance metrics such as accuracy, precision, recall, F1 score, and mean squared error (MSE) to evaluate the model's performance. Based on the model's performance on the validation set, the model's parameters are adjusted, including the learning rate, model complexity (such as increasing or decreasing the number of neural network layers or nodes), and regularization strength. This process may require multiple iterations, with each adjustment based on the previous learning results, to optimize the plant growth model.

[0069] S202, inputting target image data of target plants in the target planting area into a preset plant growth model to obtain the species and growth stage of the target plants;

[0070] The plant lighting system pre-trains a plant growth model according to the implementation method of step S201. Then, the plant lighting system can collect real-time target image data of the target plant through a camera and other equipment and input it into the preset plant growth model. The plant growth can give the type of target plant in the target image data and the current growth stage of the target plant of this type, such as the fruiting period of eggplant and the heading period of wheat.

[0071] S203, determining a target illumination duration, a target spectrum, and a target illumination intensity required for the target plant based on the type and growth stage of the target plant and a preset plant knowledge base, wherein the plant knowledge base includes illumination parameters for different types of plants at various growth stages, the illumination parameters including illumination duration, spectrum, and intensity;

[0072] After identifying the type and growth stage of the target plant, the plant lighting system needs to determine the lighting conditions required for the current growth stage of the target plant. To this end, the plant lighting system pre-stores a plant library, which contains the lighting conditions corresponding to different plant varieties at various growth stages, such as lighting duration, light intensity, spectrum and other parameters. The plant lighting system can search this plant library to find the lighting parameter combination that matches the identification result as the target lighting duration, target spectrum and target light intensity required by the target plant to guide subsequent lighting supplements. The plant library can be integrated from the botanical database or accumulated through actual research, and can be continuously optimized and updated during use to ensure the accuracy of the parameters.

[0073] S204: Determine the cumulative duration of effective sunlight exposure for the target plant based on the sunlight intensity of the target planting area, where effective sunlight exposure refers to sunlight exposure with an intensity within a preset range of light intensity.

[0074] For details, please refer to step S102, which will not be described again here.

[0075] S205: If the accumulated duration is less than the target illumination duration, determine whether the growth stage is in a preset critical growth stage;

[0076] For details, please refer to step S103, which will not be described again here.

[0077] S206: If yes, set the photovoltaic panel to tracking mode, provide supplementary light to the target plant with the target spectrum and target light intensity, and obtain the supplementary light duration. The tracking mode means that the photovoltaic panel monitors the position of the target plant in real time through the built-in sensor and rotates 360 degrees freely to aim at the target plant for supplementary light.

[0078] For details, please refer to step S104, which will not be described again here.

[0079] S207. If not, setting the photovoltaic panel to a normal mode, providing supplemental lighting to the target plant with the target spectrum and target light intensity, and obtaining the supplemental lighting duration. The normal mode indicates that the photovoltaic panel is fixed at a preset position to provide supplemental lighting to the target plant.

[0080] For details, please refer to step S105, which will not be described again here.

[0081] S208: When the fill-in lighting duration exceeds the difference between the target illumination duration and the accumulated illumination duration, the photovoltaic panel is controlled to stop fill-in lighting.

[0082] For details, please refer to step S106, which will not be described in detail here.

[0083] S209, obtaining a growth assessment result of the target plant; recording the growth assessment result and a supplementary lighting plan into a preset supplementary lighting table, where the supplementary lighting plan includes a photovoltaic panel mode, spectrum, light intensity, and supplementary lighting duration;

[0084] After each lighting cycle, the horticulture lighting system obtains growth assessment results for the target plant. Experts can assess the actual growth of the target plant to determine whether the growth effect is satisfactory. After obtaining the growth assessment results, the horticulture lighting system records the lighting parameters (such as lighting duration, light spectrum, and light intensity), as well as the growth assessment results of the target plant, in a preset lighting table. By continuously recording the lighting table, you can see the plant's growth response to different lighting solutions, thereby determining the optimal lighting strategy.

[0085] S210, determining an optimal fill-light position for the target plant based on the target image data of the target plant; when the growth assessment result does not meet the preset growth result, controlling the photovoltaic panel to move to the optimal fill-light position to fill-light the target plant;

[0086] The plant lighting system also determines the optimal location for supplemental lighting based on target plant image data. For example, cameras continuously monitor plant position changes, identifying differences in plant growth rates at different azimuths. This prioritizes the direction of increased illumination and adjusts the position and angle of the photovoltaic panels accordingly, ensuring that light reaches the areas of the plant most in need. This can be customized based on the specific growth conditions of the plant, rather than relying on a fixed supplemental lighting direction.

[0087] S211 , when it is detected based on the target image data of the target plant that the target plant has pests and diseases, the photovoltaic panel is controlled to enter a wavelength conversion mode to emit a light signal of a preset wavelength to drive away the pests and diseases.

[0088] If pests and diseases are detected on target plants, the plant lighting system can control the photovoltaic panels to enter wavelength conversion mode, emitting light signals at preset wavelengths to repel pests and diseases, protecting plant health. For example, UV LEDs could be installed in the photovoltaic panels. Upon identifying pests and diseases affecting plant growth, they would release UV radiation signals to kill the pests. This allows for the selection of optimal wavelengths for repelling different pests and diseases based on the needs of different plants.

[0089] The plant lighting system in the embodiment of the present invention is described below from the perspective of hardware processing. Figure 3, is a schematic diagram of a physical device structure of a plant lighting system in an embodiment of the present application.

[0090] It should be noted that Figure 3 The structure of the plant lighting system shown is only an example and should not limit the functions and scope of use of the embodiments of the present invention.

[0091] like Figure 3 As shown, the plant lighting system includes a central processing unit (CPU) 301, which can perform various appropriate actions and processes, such as the methods described in the above embodiments, based on programs stored in a read-only memory (ROM) 302 or programs loaded from a storage unit 308 into a random access memory (RAM) 303. RAM 303 also stores various programs and data required for system operation. CPU 301, ROM 302, and RAM 303 are interconnected via a bus 304. An input / output (I / O) interface 305 is also connected to bus 304.

[0092] The following components are connected to the I / O interface 305: an input section 306 including an audio input device, push button switches, and the like; an output section 307 including a liquid crystal display (LCD), an audio output device, indicator lights, and the like; a storage section 308 including a hard disk and the like; and a communication section 309 including a network interface card such as a LAN (Local Area Network) card or a modem. The communication section 309 performs communication processing via a network such as the Internet. A drive 310 is also connected to the I / O interface 305 as needed. Removable media 311, such as a magnetic disk, an optical disk, a magneto-optical disk, or a semiconductor memory, is installed in the drive 310 as needed, so that computer programs read from the removable media can be installed in the storage section 308 as needed.

[0093] In particular, according to embodiments of the present invention, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments of the present invention include a computer program product comprising a computer program carried on a computer-readable medium, the computer program including a computer program for executing the methods illustrated in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via the communication section 309 and / or installed from removable media 311. When executed by the central processing unit (CPU) 301, the computer program performs the various functions defined in the present invention.

[0094] It should be noted that specific examples of computer-readable storage media may include, but are not limited to, an electrical connection having one or more conductors, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM), flash memory, optical fiber, portable compact disc read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof. In the present invention, a computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, apparatus, or device.

[0095] The flowcharts and block diagrams in the accompanying drawings illustrate the possible architecture, functions and operations of the systems, methods and computer program products according to various embodiments of the present invention. Each box in the flowchart or block diagram can represent a module, program segment, or part of the code, and the above-mentioned module, program segment, or part of the code contains one or more executable instructions for implementing the specified logical functions. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in an order different from that marked in the accompanying drawings.

[0096] Specifically, the plant lighting system of this embodiment includes a processor and a memory. The memory stores a computer program. When the computer program is executed by the processor, the plant lighting method provided by the above embodiment is implemented.

[0097] As another aspect, the present invention further provides a computer-readable storage medium, which may be included in the plant lighting system described in the above embodiments, or may exist independently and not be incorporated into the plant lighting system. The storage medium carries one or more computer programs, and when executed by a processor of the plant lighting system, the plant lighting system implements the plant lighting method provided in the above embodiments.

[0098] As described above, the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the above embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the above embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present application.

[0099] As used in the above embodiments, the term “when” may be interpreted to mean “if” or “after” or “in response to determining that” or “in response to detecting that”, depending on the context. Similarly, the phrases “upon determining that” or “if (stated condition or event) is detected” may be interpreted to mean “if determining that” or “in response to determining that” or “upon detecting (stated condition or event)” or “in response to detecting (stated condition or event)”, depending on the context.

[0100] Those skilled in the art will appreciate that all or part of the process steps in the above-described method embodiments can be implemented by a computer program instructing the relevant hardware. The program can be stored in a computer-readable storage medium, and when executed, the program can include the process steps in the above-described method embodiments. The aforementioned storage medium includes various media capable of storing program code, such as ROM or random access memory (RAM), magnetic disks, or optical disks.

Claims

1. A plant lighting method, characterized in that: Applied to a plant lighting system, the method includes: Determining the target illumination duration, target spectrum, and target illumination intensity required for the target plants in the target planting area according to the growth stage of the target plants in the target planting area; Determining the cumulative duration of effective sunlight exposure for the target plant according to the sunlight intensity of the target planting area, wherein the effective sunlight exposure is sunlight exposure within a preset light intensity range; If the accumulated duration is less than the target illumination duration, determining whether the growth stage is in a preset key growth stage; If yes, the photovoltaic panel is set to tracking mode, and the target plant is supplemented with light using the target spectrum and the target light intensity, and the supplementary light duration is obtained. The tracking mode is used to indicate that the photovoltaic panel monitors the position of the target plant in real time through a built-in sensor and rotates 360 degrees freely to aim at the target plant for supplementary light; If not, setting the photovoltaic panel to a normal mode, performing supplementary lighting for the target plant with the target spectrum and the target light intensity, and obtaining the supplementary lighting duration, wherein the normal mode indicates that the photovoltaic panel is fixed at a preset position to perform supplementary lighting for the target plant; When the fill light duration exceeds the difference between the target illumination duration and the accumulated duration, the photovoltaic panel is controlled to stop fill light.

2. The method according to claim 1, characterized in that The step of determining the target illumination duration, target spectrum, and target illumination intensity required by the target plant in the target planting area according to the growth stage of the target plant specifically includes: Inputting target image data of the target plant in the target planting area into a preset plant growth model to obtain the type and growth stage of the target plant; The target illumination duration, target spectrum and target illumination intensity required for the target plant are determined according to the type of the target plant, the growth stage and a preset plant knowledge base. The plant knowledge base includes illumination parameters of different types of plants at various growth stages, and the illumination parameters include illumination duration, spectrum and illumination intensity.

3. The method according to claim 2, characterized in that Before the step of inputting the image data of the target plant in the target planting area into a preset plant growth model to obtain the species and growth stage of the target plant, the method further includes: Obtain image data of different types of plants at various growth stages; Using the image data as input features and the species and growth stage as output features; Using the input features and the output features to train a preset model to obtain the accuracy of the preset model; When the accuracy exceeds a preset accuracy threshold, the plant growth model is obtained.

4. The method according to claim 1, wherein The step of determining the cumulative duration of the target plant under effective sunlight according to the sunlight intensity of the target planting area, wherein the effective sunlight is sunlight whose intensity is within a preset range of sunlight intensity, specifically includes: When the target plant is under the effective sunlight, triggering the timing device to start timing; When the target plant is not under the effective sunlight, triggering the timing device to stop timing; The recorded time of the timing device is accumulated to obtain the cumulative time of the target plant under the effective sunlight.

5. The method according to claim 1, wherein After the step of controlling the photovoltaic panel to stop supplemental lighting when the supplemental lighting duration exceeds the difference between the target illumination duration and the accumulated illumination duration, the method further includes: Obtaining a growth assessment result of the target plant; The growth assessment results and the supplementary lighting plan are recorded in a preset supplementary lighting table, wherein the supplementary lighting plan includes the mode, spectrum, light intensity and supplementary lighting duration of the photovoltaic panel.

6. The method according to claim 5, characterized in that The method further comprises: Determining an optimal fill light position for the target plant according to the target image data of the target plant; When the growth evaluation result does not meet the preset growth result, the photovoltaic panel is controlled to move to the optimal supplementary light position to supplementary light for the target plant.

7. The method according to claim 1, characterized in that The method further comprises: When it is detected that the target plant has pests and diseases, the photovoltaic panel is controlled to enter a wavelength conversion mode to emit a light signal of a preset wavelength to drive away the pests and diseases.

8. A plant lighting system, characterized in that: The plant lighting system includes: one or more processors and a memory; the memory is coupled to the one or more processors, the memory is used to store computer program code, the computer program code includes computer instructions, and the one or more processors call the computer instructions to enable the plant lighting system to execute the method described in any one of claims 1 to 7.

9. A computer-readable storage medium comprising instructions, characterized in that: When the instruction is executed on a plant lighting system, the plant lighting system is caused to execute the method according to any one of claims 1 to 7.

10. A computer program product, characterized in that When the computer program product is run on a plant lighting system, the plant lighting system is enabled to perform the method according to any one of claims 1 to 7.

Images