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

Abstract

A plant illumination method, a plant illumination system, a storage medium and a program product relate to the field of plant illumination, and the method comprises the following steps: determining a target illumination duration, a target spectrum and a target illumination intensity required by a target plant according to a growth stage of the target plant in a target planting area; according to the sunlight illumination intensity of the target planting area, the accumulated duration of the target plant under the effective sunlight illumination is determined; if the accumulated duration is lower than the target illumination duration, determining whether the growth stage is in a preset key growth stage or not; if yes, the photovoltaic panel is set to be in a tracking mode; if not, the photovoltaic panel is set to be in a conventional mode; and when the light supplementing duration exceeds the difference value between the target illumination duration and the accumulated duration, controlling the photovoltaic panel to stop light supplementing. By implementing the method, the illumination efficiency and effect of plant growth are improved.

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 more and more attention in modern agriculture, especially in facilities such as plant factories, greenhouses and vertical farms. Providing plants with the necessary lighting conditions through artificial light sources can not only extend the growth cycle of plants, but also improve the yield and quality of crops. Scientific and reasonable plant lighting can simulate the natural light environment, meet the light needs of plants at different growth stages, and promote photosynthesis and other physiological activities.

[0003] In the prior art, plant lighting systems usually use fixed artificial light sources, such as LED lights or fluorescent lamps. These plant lighting systems provide the required lighting conditions for plants by setting a fixed spectrum, light intensity and lighting duration. Common solutions include using timers and dimmers to control the switching and brightness of light sources to ensure that plants can obtain sufficient and appropriate light to support their normal growth and development.

[0004] Although existing plant lighting systems can provide basic lighting conditions for plants, their fixed light sources and lighting parameter settings have certain limitations. As plants have different requirements for spectrum and light intensity at different growth stages, existing systems are difficult to flexibly adjust lighting to meet these requirements. 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, and the method includes: 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 whose intensity is within a preset light intensity range; 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 the tracking mode, the target plant is supplemented with light using the target spectrum and 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 the built-in sensor and rotates 360 degrees freely to aim at the target plant for supplementary light. If it is not in the tracking mode, the photovoltaic panel is set to the 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. The normal mode is used to indicate that the photovoltaic panel is fixed in the 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 embodiments, the target illumination duration, target spectrum, and target illumination intensity required for plants at different growth stages are different. The plant lighting system determines the target illumination duration, target spectrum, and target illumination intensity required for 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 the sunlight illumination whose illumination intensity is within the preset illumination intensity range as effective sunlight illumination, and determines the cumulative duration of the target plants under effective sunlight illumination. If the cumulative duration is lower than the target illumination duration, it means that the illumination duration obtained by the target plant is insufficient, and the plant lighting system is required to provide supplementary light for it. 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 lighting at this stage is crucial for the target plant, and 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 enable the plant to obtain personalized and accurate lighting support; 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 target plant at this stage. The plant lighting system only sets the photovoltaic panel to the normal mode, that is, the photovoltaic panel is fixed in the preset position to supplement 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 the automatic identification and response to the lighting needs of plants at different growth stages, and improves 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 plants are determined according to the growth stage of the target plants in the target planting area, specifically including: inputting the target 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; determining the target illumination duration, target spectrum and target light intensity required for the target plants according to the type and growth stage of the target plants and a preset plant knowledge base, the plant knowledge base including the illumination parameters of different types of plants at various growth stages, the illumination parameters including illumination duration, spectrum and light intensity.

[0009] In the above embodiment, the plant lighting system can automatically identify the type and growth stage of the target plant by inputting the target image data of the target plant into the preset plant growth model. The plant lighting system then determines the precise lighting requirements of the target plant based on the lighting parameters of different types of plants at different growth stages stored in the preset plant knowledge base, thereby realizing the automatic identification and parameter extraction of the lighting requirements of different plant individuals in the ever-changing growth stages. It realizes the automatic acquisition of accurate identification of plant information and lighting requirement parameters, providing support for individualized precise lighting supplement.

[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 the 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 embodiment, the plant lighting system acquires image data of different types of plants at multiple growth stages and uses machine learning methods to train plant growth models, thereby realizing intelligent and automatic recognition of plant types and growth stages and improving the accuracy of plant information extraction. This realizes intelligent and automated plant recognition and model training, providing a basis for subsequent plant individual information extraction and accurate supplementary lighting decision-making.

[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 actually received by the target plant, uses a timing device to record the cumulative duration of the effective daylight, and starts when the target plant is in effective daylight, and ends when the target plant is not in effective daylight. 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, providing data support for subsequent judgments on whether supplementary lighting is needed and the duration of supplementary lighting. Accurate monitoring and data extraction of the actual effective daylight amount obtained by the plant are achieved, laying the foundation for scientific and reasonable supplementary 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 can continuously track and evaluate the growth of plants and judge whether the lighting scheme is scientific and reasonable by recording each lighting process, obtaining the plant growth assessment results, and recording the growth assessment results and the lighting scheme in a preset lighting table. The lighting strategy can also be actively adjusted according to the growth assessment results to achieve continuous optimization of the plant lighting needs. This achieves tracking and evaluation of the entire plant growth cycle and continuous improvement and optimization of the lighting scheme.

[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 of the target plant based on the target image data of the target plant, and actively adjust the fill light position when abnormal growth is found, so that the target plant can obtain more sufficient and uniform light, and improve the pertinence of the fill light. This technical means can continuously track the position changes of the target plant, adjust the light angle, and achieve more accurate fill light irradiation for the target plant individual.

[0018] In combination with some embodiments of the first aspect, in some embodiments, the method also includes: when the presence of pests and diseases in 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 in the target plant through the target image data of the target plant, the photovoltaic panel enters the wavelength conversion mode to emit a light signal of a preset wavelength to drive away the pests and diseases, thereby protecting the target plant and improving the healthy growth rate of the target plant. Active monitoring and response to abnormal plant growth is achieved, which is conducive to the normal and healthy growth of plants.

[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 method of the first aspect.

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

[0023] It can be 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 method provided in the embodiment of the present application. Therefore, the beneficial effects that can be achieved can refer to the beneficial effects in the corresponding method, which will not be repeated here.

[0024] One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages: 1. Since the technical means of automatically determining the lighting compensation scheme according to the growth stage of the target plant and the required lighting conditions is adopted, the lighting needs 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 lighting support, which effectively solves the problem that the fixed lighting modes and parameters used in the prior art are difficult to adapt to the differences in the needs of plants at different stages, thereby achieving continuous optimization and satisfaction of the lighting needs during the plant growth cycle, thereby significantly improving the growth quality of the plants.

[0025] 2. Due to the use of image recognition and machine learning to train plant growth models, different plant species and growth stages can be automatically and accurately identified, effectively solving the problem that the existing technology cannot accurately extract individual plant information, and then realizing intelligent identification of plants and parameter acquisition, providing reliable support for individualized and precise fill lighting decisions, thereby significantly improving the pertinence and effect of fill lighting.

[0026] 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 that the lighting mode and lighting parameters in the existing technology are difficult to dynamically adjust, thereby realizing the continuous tracking, evaluation and optimization of the lighting plan for the plant growth process, so that the plants can obtain continuous personalized lighting support, thereby significantly improving the healthy growth rate of the plants. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 This is a schematic diagram of a process of a plant lighting method in an embodiment of the present application; Figure 2 is another flow chart of the plant lighting method in the embodiment of the present application; Figure 3 It is a schematic diagram of a physical device structure of a plant lighting system in an embodiment of the present application. DETAILED DESCRIPTION

[0028] The terms used in the following embodiments of the present application are only for the purpose of describing specific embodiments, and are not intended to be used as limitations to the present application. As used in the specification of the present application, the singular expressions "one", "a kind of", "above", "the" and "this" are intended to also include plural expressions, unless there is a clear indication to the contrary in the context. It should also be understood that the term "and / or" used in the present application refers to any or all possible combinations comprising one or more of the listed items.

[0029] In the following, the terms "first" and "second" are used for descriptive purposes only and are not to be understood as suggesting or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features, and in the description of the embodiments of the present application, unless otherwise specified, "plurality" means two or more.

[0030] 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.

[0031] S101, determining a target illumination duration, a target spectrum, and a target illumination intensity required for the target plant according to the growth stage of the target plant in the target planting area; Different plants require different light conditions at different growth stages, including light duration, spectrum, and light intensity. Light duration refers to how many hours of light are needed per day. Spectrum refers to which wavelengths of light are needed (for example, blue light promotes leaf growth, red light promotes flowering and fruiting). Light intensity is usually measured in micromoles per square meter per second (μmol / m² / s) or lux.

[0032] The growth stages of plants can usually be divided into the following main stages: Germination Seedling Vegetative Growth Flowering Fruiting 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 needs of wheat seedling growth. When determining the target lighting parameters, the plant lighting system will also consider the specific planting environment, climatic conditions, wheat varieties and other information to ensure the scientificity and pertinence of the lighting parameters. In practical applications, the plant lighting system can identify different varieties of various plants, and at each growth stage throughout its life cycle, determine the precise lighting requirements of the individual plant at the current stage based on the stored botanical knowledge or new knowledge.

[0033] S102, determining the cumulative duration of the target plant under effective sunlight according to the sunlight intensity of the target planting area, where the effective sunlight is sunlight whose intensity is within a preset range of light intensity; The plant lighting system can monitor the sunlight intensity of the target planting area based on a light intensity meter or related sensors, because light is one of the key factors in plant photosynthesis and growth and development. The light requirements of plants vary from species to species, some prefer shade, and some prefer sun. By monitoring the light intensity, it can be ensured that the plants receive appropriate light, and neither growth retardation caused by insufficient light nor photoinhibition or burns caused by excessive light will occur. When the sunlight intensity is within the preset light intensity range, it is determined that the target plant receives effective sunlight, which is conducive to growth.

[0034] 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 200-800 μmol / m²s, while succulents may require lower light intensity, so their suitable preset light intensity range is lower than the preset light intensity range of tomatoes.

[0035] The cumulative duration of effective sunlight exposure for target plants refers to the total duration of effective sunlight exposure accumulated over a period of time (such as a week, a month, or the entire growing season). This indicator is very important for evaluating the growth status of plants and conducting light management. For example, if the cumulative duration of effective sunlight exposure in a month is far lower than the needs of the plants, supplementary lighting measures may need to be considered.

[0036] The collected sunlight intensity of the target planting area needs to be analyzed in detail to determine the effective sunlight duration within the preset light intensity range. This process can be done through the use of data analysis software to filter out the time periods that meet the conditions. For example, if the data shows that there are 6 hours of sunlight intensity in a day between 400-700 μmol / m²s, then these 6 hours are considered to be the cumulative duration of the target plant under effective sunlight.

[0037] Optionally, under normal circumstances, the cumulative duration of the target plant under effective daylight illumination is determined based on the daylight intensity in the target planting area. Effective daylight illumination is daylight illumination whose intensity is 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.

[0038] The plant lighting system divides the daylight intensity level 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 as one 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.

[0039] S103: If the accumulated duration is less than the target illumination duration, determine whether the growth stage is in a preset critical growth stage; After the accumulated time is obtained, 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, the built-in sensor monitors the position of the sun in real time, and automatically adjusts the angle of the photovoltaic panels to ensure that they are always facing the sun, so as to receive 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. In the critical growth stages of plants, such as flowering or fruit development, appropriate lighting is essential for the growth and development of plants. The tracking system can provide continuous and uniform lighting, which helps to improve the yield and quality of crops.

[0040] When the growth stage of the target plant is not in the preset critical growth stage, the plant management system can adopt the photovoltaic panel fixed mode, because fixed lighting is usually simpler than tracking lighting, does not require complex sensors and drivers, and therefore has a lower cost. And because fixed lighting has a simple structure, it usually requires less maintenance and is suitable for use in non-critical growth stages of plants.

[0041] S104, if yes, set the photovoltaic panel to tracking mode, supplement light to the target plant with the target spectrum and target light intensity and obtain the supplement light duration, the 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 supplement light; If the plant lighting system determines that the growth stage of the target plant is at a preset critical stage, it means that the target plant is currently in a period that is particularly important to its growth cycle, such as germination, flowering or fruiting. During these periods, the target plant requires higher efficiency of photosynthesis to support its rapid growth or flowering and fruiting. Therefore, providing appropriate light intensity and spectrum can maximize the efficiency of photosynthesis.

[0042] When there is insufficient sunlight, the plant lighting system needs to control the photovoltaic panels to start the tracking mode. In the tracking mode, the photovoltaic panels can monitor and track the position of the target plants in real time through built-in sensors and motion mechanisms, and make free adjustments within a 360-degree range, so as 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 aim at the plants to continue to supplement lighting, thereby ensuring that the plants get the required light intensity.

[0043] S105, if not, setting the photovoltaic panel to a normal mode, supplementing light to the target plant with the target spectrum and target light intensity, and obtaining the supplementing light duration, wherein the normal mode is used to indicate that the photovoltaic panel is fixed at a preset position to supplement light to the target plant; If the plant lighting system determines that the growth stage of the target plant is not in the preset critical stage, the plant lighting system will set the photovoltaic panel to normal mode. In normal mode, the photovoltaic panel is fixed in a pre-set position to maintain a stable fill light angle and direction to supplement the target plant. This normal mode is mainly used for daily light supplementation during the overall growth period of the plant, without the need for tracking. For example, in field crop planting, multiple fixed photovoltaic fill light devices can be planned in the field to form a lighting network to improve the uniformity of light in the entire planting area.

[0044] S106: When the supplementary lighting duration exceeds the difference between the target illumination duration and the accumulated illumination duration, the photovoltaic panel is controlled to stop supplementary lighting.

[0045] During the light-filling process, the plant lighting system will monitor the duration of the light-filling in real time, that is, the light-filling duration. When the light-filling duration exceeds the difference between the target light duration and the cumulative duration, it means that the light demand of the target plant can be met. At this time, the plant lighting system will control the photovoltaic panel to stop the light-filling to avoid light overload. In the subsequent growth cycle, the plant lighting system will re-detect the light demand and daylight conditions of the target plant in a cycle, and start or stop the light-filling at the right time, and implement a scientific and reasonable light-filling strategy to promote good plant growth.

[0046] In the above embodiments, the target illumination duration, target spectrum, and target illumination intensity required for plants at different growth stages are different. The plant lighting system determines the target illumination duration, target spectrum, and target illumination intensity required for 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 the sunlight illumination whose illumination intensity is within the preset illumination intensity range as effective sunlight illumination, and determines the cumulative duration of the target plants under effective sunlight illumination. If the cumulative duration is lower than the target illumination duration, it means that the illumination duration obtained by the target plant is insufficient, and the plant lighting system is required to provide supplementary light for it. 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 lighting at this stage is crucial for the target plant, and 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 enable the plant to obtain personalized and accurate lighting support; 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 target plant at this stage. The plant lighting system only sets the photovoltaic panel to the normal mode, that is, the photovoltaic panel is fixed in the preset position to supplement 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 the automatic identification and response to the lighting needs of plants at different growth stages, and improves the quality of plant growth.

[0047] 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 the embodiment of the present application.

[0048] S201, obtaining image data of plants of different types at various growth stages; using the image data as input features, and using the type 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, obtaining a plant growth model; The steps to build a deep learning-based plant growth model are as follows: First, the plant lighting system collects image data of various plants at different growth stages. These image data need 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. Then the plant lighting system determines the type and growth stage of the plant corresponding to each image in the image data through expert annotation. The plant lighting system stores the collected image data, type and growth stage in the data set D, and the format of each data is (image data, type and growth stage). Among them, the image data is the input feature of the model training, and the type and growth stage are the output features of the model training.

[0049] Secondly, the plant lighting system performs data preprocessing on the data set D and deletes the missing data and abnormal data (such as records where the image data is empty or the image clarity is lower than a preset clarity threshold) in the data set D.

[0050] Then, the plant lighting system builds a LSTM-based recurrent neural network, which includes an input layer, two LSTM hidden layers, a fully connected layer, and an output layer. The input layer inputs image data, the number of nodes in the hidden layer is set to 64, the number of nodes in the fully connected layer is set to 32, and the output layer outputs the species and growth stage.

[0051] Next, the plant lighting system uses the Adam optimizer, the learning rate is set to 0.001, and the training batch size is 32. It can also be set according to the actual situation and is not limited here. 80% of the data in the data set D is divided into a training set and 20% is divided into a validation set. 100 epochs are trained and the model with the highest accuracy of the validation set is saved. It can also be set according to the actual situation and is not limited here. Epoch is the process in which the training data set passes through the neural network once. In machine learning and deep learning, epoch is a unit used to measure the number of times the entire training set is repeatedly learned. Specifically, when the neural network completes a forward calculation and back propagation process, that is, all data has been processed by the network once, this completes an epoch. The plant lighting system uses binary cross entropy as the loss function and uses Early Stopping to prevent overfitting. When the value of the loss function exceeds the preset function threshold, the model training is determined to be completed and the plant growth model is obtained. Early Stopping is a technology in deep learning and machine learning to prevent model overfitting. It determines when to stop training by monitoring the performance of the model on the validation set.

[0052] Finally, the plant lighting system inputs the input features in the validation set into the plant growth model, and then obtains the predicted output of the plant growth model. The predicted output of the plant growth model is compared with the actual output features in the validation set, and some performance indicators such as accuracy, precision, recall, F1 score, mean square error (MSE), etc. are used to evaluate the performance of the plant growth model. According to the performance of the plant growth model on the validation set, the parameters of the plant growth model are adjusted, including adjusting the learning rate, changing the model complexity (such as increasing or decreasing the number of layers or nodes of the neural network), modifying the regularization strength, etc. This process may require multiple iterations, each adjustment based on the previous learning results to optimize the plant growth model.

[0053] S202, 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; The plant lighting system pre-trains a plant growth model according to the implementation method of step S201, and 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, the heading period of wheat, etc.

[0054] S203, determining the target illumination duration, target spectrum and target illumination intensity required for the target plant according to the type and growth stage of the target plant and a preset plant knowledge base, wherein 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; 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 a combination of lighting parameters that matches the identification result as the target lighting duration, target spectrum and target light intensity required by the current target plant to guide subsequent lighting supplements. The plant library can be integrated from a botanical database or accumulated through actual research, and can be continuously optimized and updated during use to ensure the accuracy of the parameters.

[0055] S204, determining the cumulative duration of the target plant under effective sunlight according to the sunlight intensity of the target planting area, where the effective sunlight is sunlight whose intensity is within a preset range of light intensity; For details, please refer to step S102, which will not be described in detail here.

[0056] S205: If the accumulated duration is less than the target illumination duration, determine whether the growth stage is in a preset critical growth stage; For details, please refer to step S103, which will not be described in detail here.

[0057] S206, if yes, set the photovoltaic panel to tracking mode, supplement light to the target plant with the target spectrum and target light intensity and obtain the supplement light duration, the 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 supplement light; For details, please refer to step S104, which will not be described in detail here.

[0058] S207, if not, setting the photovoltaic panel to a normal mode, supplementing light to the target plant with the target spectrum and target light intensity, and obtaining the supplementing light duration, wherein the normal mode is used to indicate that the photovoltaic panel is fixed at a preset position to supplement light to the target plant; For details, please refer to step S105, which will not be described in detail here.

[0059] S208: When the fill-in light duration exceeds the difference between the target illumination duration and the accumulated illumination duration, the photovoltaic panel is controlled to stop the fill-in light.

[0060] For details, please refer to step S106, which will not be described in detail here.

[0061] S209, obtaining a growth assessment result of the target plant; recording the growth assessment result and the supplementary lighting plan into a preset supplementary lighting table, wherein the supplementary lighting plan includes a mode, spectrum, light intensity, and supplementary lighting duration of the photovoltaic panel; The plant lighting system will obtain the growth evaluation results of the target plants after each lighting session. It can obtain the evaluation of the actual growth of the target plants through experts to determine whether the growth effect is good. After obtaining the growth evaluation results, the plant lighting system will record the lighting parameters, such as lighting duration, spectrum, light intensity, etc., as well as the growth evaluation results of the target plants, into the preset lighting table. After continuously recording the lighting table, you can see the growth response of the plants corresponding to different lighting schemes, so as to determine the optimized lighting strategy.

[0062] S210, determining the optimal supplementary lighting position of 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, controlling the photovoltaic panel to move to the optimal supplementary lighting position to supplement the target plant; The plant lighting system will also determine the best supplementary lighting position for the plant based on the target image data of the target plant. For example, the camera will continuously monitor the change of the plant position, identify the difference in plant growth rate at different azimuths, determine the priority direction of light enhancement, and adjust the position angle of the photovoltaic panel accordingly to ensure that the light is directed to the part of the plant that needs the most light. This can be determined individually according to the specific growth conditions of the plant, rather than using a fixed supplementary lighting direction.

[0063] S211. When it is detected that the target plant has pests and diseases according to the target image data of the target plant, 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.

[0064] If pests and diseases are detected in the target plants, the plant lighting system can control the photovoltaic panels to enter the wavelength conversion mode, and by emitting a light signal of a preset wavelength, it can play a role in driving away pests and diseases and protecting the health of the plants. For example, ultraviolet LEDs can be installed in photovoltaic panels. After identifying pests and diseases that affect plant growth, ultraviolet irradiation signals are released to kill the pests and diseases. This can be applied according to the needs of different plants by selecting the best wavelength for driving away different pests and diseases.

[0065] 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.

[0066] It should be noted that Figure 3 The structure of the plant lighting system shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present invention.

[0067] like Figure 3 As shown, the plant lighting system includes a central processing unit (CPU) 301, which can perform various appropriate actions and processes according to the program stored in the read-only memory (ROM) 302 or the program loaded from the storage part 308 to the random access memory (RAM) 303, such as executing the method described in the above embodiment. In RAM 303, various programs and data required for system operation are also stored. CPU 301, ROM 302 and RAM 303 are connected to each other through bus 304. Input / output (I / O) interface 305 is also connected to bus 304.

[0068] The following components are connected to the I / O interface 305: an input section 306 including an audio input device, a button switch, etc.; an output section 307 including a liquid crystal display (LCD) and an audio output device, an indicator light, etc.; a storage section 308 including a hard disk, etc.; and a communication section 309 including a network interface card such as a LAN (Local Area Network) card, a modem, etc. 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. A removable medium 311, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 310 as needed so that a computer program read therefrom is installed into the storage section 308 as needed.

[0069] In particular, according to an embodiment of the present invention, the process described above with reference to the flowchart can be implemented as a computer software program. For example, an embodiment of the present invention includes a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a computer program for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through the communication part 309, and / or installed from a removable medium 311. When the computer program is executed by the central processing unit (CPU) 301, various functions defined in the present invention are performed.

[0070] It should be noted that specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM), a flash memory, an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a 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 may be used by or in combination with an instruction execution system, apparatus, or device.

[0071] 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 may represent a module, a program segment, or a part of a code, and the above-mentioned module, program segment, or a part of a 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 may also occur in an order different from that marked in the accompanying drawings.

[0072] 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 in the above embodiment is implemented.

[0073] 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 embodiment; or may exist independently without being assembled into the plant lighting system. The above storage medium carries one or more computer programs, and when the above one or more computer programs are executed by a processor of the plant lighting system, the plant lighting system implements the plant lighting method provided in the above embodiment.

[0074] 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 aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned 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.

[0075] As used in the above embodiments, the term "when..." may be interpreted to mean "if..." or "after..." or "in response to determining..." or "in response to detecting...", depending on the context. Similarly, the phrases "upon determining..." or "if (the stated condition or event) is detected" may be interpreted to mean "if determining..." or "in response to determining..." or "upon detecting (the stated condition or event)" or "in response to detecting (the stated condition or event)", depending on the context.

[0076] Those skilled in the art can understand that to implement all or part of the processes in the above-mentioned embodiments, the processes can be completed by computer programs to instruct related hardware, and the programs can be stored in computer-readable storage media. When the programs are executed, they can include the processes of the above-mentioned method embodiments. The aforementioned storage media include: ROM or random access memory RAM, magnetic disk or optical disk and other media that can store program codes.

Claims

1. A plant lighting method, characterized in that: Applied to a plant lighting system, the method comprises: 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; Determine the cumulative duration of the target plant under effective sunlight according to the sunlight intensity of the target planting area, where the effective sunlight is sunlight whose intensity is within a preset range of intensity; If the accumulated duration is less than the target illumination duration, determining whether the growth stage is in a preset critical growth stage; If it is, the photovoltaic panel is set to the tracking mode, the target plant is supplemented with light by 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 the built-in sensor and rotates 360 degrees freely to aim at the target plant for supplementary light; If not, the photovoltaic panel is set to a normal mode, the target plant is supplemented with light using the target spectrum and the target light intensity, and the supplementary light duration is obtained, wherein the normal mode is used to indicate that the photovoltaic panel is fixed at a preset position to supplement the light for the target plant; When the fill-in-light duration exceeds the difference between the target illumination duration and the accumulated duration, the photovoltaic panel is controlled to stop fill-in-light.

2. The method according to claim 1, characterized in that 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 specifically includes: 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; 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, wherein 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 type 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, characterized in that: Determining the cumulative duration of the target plant under effective sunlight illumination according to the sunlight illumination intensity of the target planting area, wherein the effective sunlight illumination is sunlight illumination whose sunlight illumination intensity is within a preset illumination intensity range, 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, characterized in that After the step of controlling the photovoltaic panel to stop supplementary lighting when the supplementary 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 result 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 lighting position to supplement 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 according to the target image data of the target plant, 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 1-7.

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

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