System and method for controlling growth of plants

Abstract

The invention provides a system (10) for controlling the growth of a plant, comprising: at least one lighting device (1) for irradiating a plant with light of a variable spectrum; at least one sensor (2) configured to detect a plurality of growth parameters of the plant; and a processor (3) configured to analyze the plurality of growth parameters detected by the sensor. The processor (3) is further configured to control various combinations of the plurality of spectra based on the plurality of growth parameters such that each spectrum combines into a ratio that allows customization of lighting conditions for various plants.

Description

[0001] CROSS-REFERENCE TO RELATED APPLICATIONS

[0002] The present invention claims priority from Singapore patent application no. 10202251653Q filed on November 7, 2022, the entire disclosure of which is incorporated herein by reference. Technical Field

[0003] The present invention relates to agricultural technology. More specifically, the present invention relates to an AI-driven LED grow light system for environmentally controlled agriculture. Background Art

[0004] In recent years, driven by the need for efficient and sustainable food production, agricultural practices have undergone a significant shift toward controlled environment agriculture (CEA) methods. CEA refers to the practice of growing crops indoors under precise conditions optimized for plant growth. This approach gives farmers complete control over factors such as temperature, humidity, light, and nutrition, resulting in higher yields, reduced environmental impact, and better resource utilization.

[0005] Among the various factors that influence plant growth, light is one of the most critical. Plants require specific light wavelengths, intensities, and durations for photosynthesis, the process by which plants convert light energy into chemical energy, enabling their growth and development. Traditional agricultural lighting systems, such as high-pressure sodium (HPS) and metal halide (MH) lamps, have been used for decades. However, these systems are energy-intensive, release excess heat, and often lack the precise light spectrum required for optimal plant growth.

[0006] The fixed ratio of red to blue light emitted by multiple, unadjustable LEDs in traditional grow light panels hinders optimal plant growth. Different growth stages of plants require varying ratios of red and blue light to enhance productivity. The blue light spectrum promotes chlorophyll absorption, photosynthesis, and growth, while the red light spectrum stimulates flowering and budding. However, existing grow lights on the market lack the ability to adjust the red-to-blue light ratio, limiting their potential to improve plant growth productivity.

[0007] In existing grow light systems, all LEDs remain continuously activated during operation, resulting in inefficient energy usage throughout the entire growing cycle. During the early seedling stage, when the plants are smaller and require less light, the illuminated area of ​​the grow light panel can be reduced, effectively saving energy. In addition, current grow lights lack the function of adjusting the photosynthetic photon flux (PPF) according to the height of the plant. As crops grow taller, they naturally move closer to the light source, thereby increasing the PPFD (photosynthetic photon flux density). If the PPFD received exceeds the required amount, it will result in a waste of light energy. Therefore, there is a need for an AI-enabled grow light system that can automatically reduce energy output as the crops grow, ensuring optimal energy utilization and promoting sustainable agricultural practices. Summary of the Invention

[0008] The purpose of this invention is to combine artificial intelligence (AI) with LED (light-emitting diode) technology to create an AI-powered LED grow light system. The lighting system combines the energy efficiency and flexibility of LED technology with the intelligence of AI algorithms to provide customized lighting conditions for the specific needs of different crops. The AI-enabled grow light system can control the intensity of light at different growth stages of plants, manipulate the spectrum of visible light wavelengths to suit different vegetation species at different growth stages, and optimize light transmittance, thereby saving electricity in climate-controlled agriculture.

[0009] The present invention provides a system for controlling plant growth, comprising: at least one lighting device configured to illuminate the plant with light of a variable spectrum; at least one sensor configured to detect multiple growth parameters of the plant; and a processor configured to analyze the multiple growth parameters detected by the sensor. The processor is further configured to control various combinations of multiple light spectra based on the multiple growth parameters, such that each light spectrum is combined into a ratio that allows customized lighting conditions at various stages of plant growth.

[0010] Preferably, the lighting device comprises a plurality of light emitting diodes (LEDs) configured to emit red, green and blue light.

[0011] Preferably, the light emitting diodes are arranged on one or both of the interior and the exterior of the panel of the lighting device.

[0012] Preferably, the interior includes at least three separate blocks of light emitting diodes.

[0013] Preferably, the sensor comprises any one or a combination of an ultrasonic sensor, a camera, a humidity sensor and a temperature sensor.

[0014] Preferably, the plurality of growth parameters include, but are not limited to, plant type, plant health, plant growth stage, and environmental conditions.

[0015] Preferably, the processor comprises a dimming module configured to control one or more settings of the lighting device.

[0016] Preferably, the settings include any one or a combination of light intensity, type of spectrum, duration of illumination and spectrum ratio.

[0017] Preferably, the processor comprises an optimization module configured to analyze the plurality of detected growth parameters by employing artificial intelligence.

[0018] Preferably, the optimization module is further configured to optimize the settings of the lighting device and make adjustments based on the detected multiple growth parameters to generate personalized lighting configurations for various plants.

[0019] The present invention provides a method for controlling plant growth, comprising: detecting multiple growth parameters of the plant using at least one sensor; analyzing the detected growth parameters using a processor; and irradiating light toward the plant using at least one lighting device. The processor is further configured to control various combinations of multiple light spectra based on the multiple growth parameters, such that each light spectrum is combined into a ratio that allows customized lighting conditions for various plants.

[0020] Preferably, the method further comprises the step of analyzing the plurality of growth parameters using artificial intelligence via an optimization module.

[0021] Preferably, the method further comprises the step of optimizing, by the optimization module, the settings of the lighting device based on the plurality of growth parameters to generate a plurality of customized lighting configurations for various plants.

[0022] Preferably, the method further comprises the step of storing a plurality of data sets of the plurality of growth parameters and a plurality of customized lighting configurations for the plants on a computer readable storage module.

[0023] Preferably, the method further comprises the step of executing, by the processor, instructions to optimize the settings of the lighting device based on the plurality of detected growth parameters.

[0024] Preferably, the method further comprises the step of executing, by the processor, instructions to adjust the ratio of a plurality of spectrums including red light, green light and blue light based on the plurality of customized lighting configurations for various plants.

[0025] One skilled in the art will readily appreciate that the present invention is well adapted to carry out the objects and obtain the objects and advantages mentioned, as well as those inherent therein.The embodiments described herein are not intended to limit the scope of the invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] To facilitate an understanding of the invention, there are shown in the accompanying drawings preferred embodiments which, when considered in conjunction with the following description, will readily understand and appreciate the invention, its construction and operation, and its numerous advantages.

[0027] Figure 1 is a diagram illustrating a system for controlling the growth of plants according to an embodiment of the present invention;

[0028] Figure 2 It shows Figure 1 A diagram showing a perspective view of a lighting device used in

[0029] Figure 3 is a graph showing tabulated results of the relationship between altitude and illuminance during an experiment to verify the present invention;

[0030] Figure 4 It is shown from Figure 3 A graph showing the relationship between height and illuminance obtained from the data in FIG.

[0031] Figure 5 is a flow chart of a method for turning on or off an exterior portion of a plurality of LEDs based on a plurality of detected growth parameters; and

[0032] Figure 6 is a flow chart of a method for controlling the growth of a plant. DETAILED DESCRIPTION

[0033] From now on, for ease of description, this document may use spatially relative terms such as "top," "bottom," "left," "right," "inside," "outside," etc. to describe the relationship of one technical element or feature to another technical element or feature, as shown in the figures. It should be understood that in addition to the orientations shown in the figures, the spatially relative terms are intended to encompass different orientations of the technical features during use or operation.

[0034] For example, if the technical features in the figures were turned over, the element described as "on top" of other elements or features would then be oriented "bottom" of the other elements and features. Thus, the exemplary term "top" can encompass both an orientation of up and down. The device may be otherwise oriented, and the spatially relative descriptors used herein should be interpreted accordingly.

[0035] For example, if a feature in a figure is flipped horizontally, an element described as being on the "left side" of other elements or features would then be oriented "to the right" of the other elements and features. Thus, the exemplary term "left" can encompass both left and right orientations. The device may be otherwise oriented, and the spatially relative descriptors used herein should be interpreted accordingly.

[0036] The present invention will now be described in more detail by way of example with reference to the accompanying drawings.For ease of reference, a common reference numeral or series of numerals will be used throughout the figures when referring to the same or similar features common to the figures.

[0037] Figure 1 10 is a diagram showing a system for controlling plant growth, comprising several components: at least one lighting device 1 arranged to emit a variable spectrum of light to the plants; at least one sensor 2 positioned to detect a plurality of growth parameters of interest; and a processor 3 equipped with an algorithm for analyzing data collected by the sensor on the plurality of growth parameters. Figure 1 Also shown is a computer readable storage module 4 connected to the sensor 2 and the processor 3. The lighting device 1 is a module comprising a plurality of light emitting diodes (LEDs) configured to emit an adjustable or programmable spectrum. These LEDs can produce a wide range of wavelengths, including but not limited to red, blue, and green. The plurality of LEDs can be selected from one or a combination of transparent tri-color common cathode (Transparent Tri Colour Common Cathode) LEDs, diffused tri-color common anode (Diffused Tri Colour Common Anode) LEDs, and diffused LEDs. The lighting device 1 is positioned near the plant to effectively illuminate the plant. Figure 2 As shown, a plurality of LEDs are arranged on one or both of the inner portion 1b and the outer portion 1a of the panel of the lighting device 1. The inner portion 1b includes at least three segments of different LEDs that are individually controlled to operate, thereby saving energy consumption.

[0038] Preferably, transparent tri-color common-cathode LEDs are integrated into the lighting device 1 for emitting light toward plants. Advantageously, compared to other LEDs, transparent tri-color common-cathode LEDs offer superior uniformity and illumination due to their narrow viewing angle, providing concentrated illumination within a designated area. This results in higher photosynthetic photon flux density (PPFD) across the illuminated surface while minimizing energy loss, making them ideal for supporting plant growth at all stages. Furthermore, the LED arrangement allows for independent activation of the red, blue, and green panels within a single LED unit. Adjustment can be achieved through coding or the inclusion of variable resistors, facilitating the creation of different RGB (red, green, blue) ratios tailored to specific plant requirements. A higher resistance in the variable resistor results in lower current flow and, therefore, lower illumination. Conversely, to achieve higher illumination / PPFD for plants, the resistance can be lowered to allow for greater current flow. Since a single common-cathode tri-color LED can illuminate three colors, three variable resistors are employed to allow for varying illumination for each color.

[0039] By programming the intensities of red, green, and blue light within an LED, different RGB ratios can be set within a single LED to achieve the desired RGB ratio. Light intensity can be reduced by supplying lower currents to multiple LEDs. Using a microcontroller and code programming, the color of light emitted by multiple LEDs can be programmed. In one exemplary embodiment, when, for example, a 2:1 RB ratio is required for growing lettuce, the intensity of the red light can be set to twice that of the blue light.

[0040] The sensor 2 includes any one or a combination of an ultrasonic sensor, a camera, a humidity sensor, and a temperature sensor to detect multiple growth parameters of the plant and transmit the data to the processor 3. The multiple growth parameters include, but are not limited to, plant type, plant health, plant growth stage, and environmental conditions. The ultrasonic sensor can be used to accurately measure the distance between the sensor and the plant. The ultrasonic sensor provides data about the plant's height and growth rate, enabling the system to adjust the lighting device 1 accordingly. The camera can be used to obtain high-resolution images of the plant in a controlled environment. Image processing algorithms analyze the captured images to assess multiple growth parameters of the plant. The humidity sensor continuously monitors the plant's humidity level, while the temperature sensor measures the ambient temperature in the controlled environment, which is important for regulating plant metabolism. By analyzing the combined data from the ultrasonic sensor, camera, humidity sensor, and temperature sensor, the plant's growth pattern, health status, and environmental conditions can be identified and processed by the processor 3.

[0041] Processor 3 is equipped with software algorithms customized for plant growth analysis. Processor 3 receives data from sensor 2 and processes this information in real time. Processor 3 is programmed to recognize different plant species and their multiple growth parameters detected by sensor 2, and to control various combinations of multiple light spectra based on the multiple growth parameters, such that each light spectrum is combined into a ratio that allows for customized lighting conditions at various stages of plant growth.

[0042] Processor 3 includes an optimization module 3a configured to analyze the detected multiple growth parameters using artificial intelligence. Optimization module 3a is further configured to optimize the settings of lighting device 1 and adjust them based on the detected multiple growth parameters to generate customized lighting configurations for various plants. Preferably, an artificial intelligence algorithm is employed to interpret the multiple growth parameters and optimize the settings of lighting device 1. For example, machine learning, data analysis, or any other artificial intelligence techniques may be used to process the data collected by sensor 2.

[0043] The processor 3 includes a dimming module 3b, which is configured to control one or more settings of the lighting device 1. The settings of the lighting device 1 include any one or a combination of light intensity, type of spectrum, duration of illumination, and spectral ratio. Preferably, the dimming module 3b controls the light intensity when some plants thrive in bright direct light, while other plants prefer darker indirect light. Preferably, the dimming module 3b can control the wavelength range of the light emitted by the lighting device 1. Different wavelengths of light have different effects on plant growth. For example, blue light is important for plant growth, while red light is important for flowering and fruiting. By adjusting the type of spectrum, the lighting system 10 can adapt to the specific growth stage of the plant.

[0044] In one exemplary embodiment, for plants that require longer light exposures, the dimming module 3b adjusts the settings to increase the duration of the photoperiod, ensuring the plants receive the optimal amount of light for growth. In another exemplary embodiment, if the plants require a higher ratio of red and blue light, the dimming module 3b can adjust the ratio of red and blue wavelengths of the spectrum, allowing the lighting system to create customized lighting conditions suited to the needs of the plants.

[0045] Multiple data sets of multiple growth parameters detected by the sensors and multiple customized lighting configurations generated for the plants by the optimization module 3 are stored on a computer-readable storage module 4, which is connected to the sensor 2 and the processor 3. The computer-readable storage module 4 used may include a hard disk drive (HDD) and a solid-state drive (SSD), a network-attached storage (NAS), a cloud service storage, a flash drive and a memory card, and a database such as MySQL, PostgreSQL, or MongoDB.

[0046] Figure 5 FIG. 1 shows an exemplary embodiment of using an ultrasonic sensor 2 to determine the distance d between the sensor and the plant, thereby providing data to a processor 3 to execute instructions to control the lighting device 1. Figure 5 As shown, when lighting device 1 is started (turned on), in step S1, one or more LED segments in the interior 1b of lighting device 1 are turned on to illuminate the plant. Next, in step S2, the ultrasonic sensor detects the distance d to the plant by transmitting and receiving reflected waves. In step S3, it is determined whether distance d is greater than 5 cm. If the detected distance is less than 5 cm, in step S4, processor 3 executes instructions to turn off the multiple LEDs in the exterior 1a. As the plant continues to grow, if the distance d detected by ultrasonic sensor 2 is greater than 5 cm, processor 3 will execute instructions to turn on the multiple LEDs in the exterior 1a in step S5.

[0047] Figure 6 A flow chart illustrating a method for controlling plant growth according to an embodiment is shown. Upon activation, in step S11, system 10 initiates a continuous monitoring process by turning on multiple LEDs of lighting device 1. Next, in step S12, sensor 2 detects multiple plant growth parameters. Then, in step S13, sensor 2 transmits the multiple growth parameter data to processor 3. Processor 3 analyzes the multiple growth parameters. For example, optimization module 3a employs artificial intelligence to analyze the detected multiple growth parameters and interpret the plant's needs at its current growth stage. After optimization module 3a performs its functions, dimming module 3b responds by adjusting the intensity of the multiple LEDs.

[0048] The optimization module 3a configures the lighting device 1 based on multiple growth parameters, resulting in the generation of multiple customized lighting configurations for various plants. Multiple data sets of the multiple growth parameters and the multiple customized lighting configurations for the plants are then stored on the computer-readable storage module 4. Multiple LEDs are then powered by the customized lighting configurations to illuminate the plants. Based on the analyzed multiple growth parameters, the processor 3 controls the lighting device 1 by controlling various combinations of multiple light spectra based on the multiple growth parameters, such that each light spectrum forms an RGB ratio that allows customized lighting conditions for various plants. To perform this multiple growth parameter analysis, in step 15, a determination is made as to whether there have been any changes in the multiple growth parameters detected by the sensor 2. If there have been no changes in the multiple growth parameters, the control process returns to step S12 for continued monitoring. If there have been changes in the multiple growth parameters, the control process proceeds to the following step S16.

[0049] For each type of plant illuminated by lighting device 1, processor 3 accesses the customized lighting configuration stored in computer-readable storage module 4 and customizes the spectral combination for each type of plant, as shown in step S16, thereby ensuring that the lighting meets the precise needs of each plant. In step S17, processor 3 then executes instructions to adjust the ratio of multiple spectra including red light, green light, and blue light based on the multiple customized lighting configurations for each plant type after detecting multiple growth parameters of the plant.

[0050] Hereinafter, the evaluations performed to validate the method for controlling the growth of plants are briefly described.It should be noted that the parameters defined or determined in these evaluations are not meant to be interpreted as limiting the scope of the invention.

[0051] Experiment using a transparent tri-color common cathode LED on lettuce.

[0052] Thirteen transparent tri-color common-cathode LEDs were used as grow lights to observe lettuce growth. To determine the PPFD generated by the grow lights, illuminance (lux) was measured using a lux meter. Given that lettuce can vary greatly in size, shape, and leaf type, but typically maintains a loose rosette structure, the grow light, composed of thirteen transparent tri-color common-cathode LEDs, formed a spatial structure that provided wide coverage, allowing the lettuce to grow larger and receive more light. Both red and blue light from multiple LEDs were turned on to create a 1:1 red-red ratio. Red light is highly effective in regulating plant growth and development. It helps enhance photosynthesis in the lettuce, promoting its growth. Blue light helps the plant develop strong stems and produces chlorophyll, which is essential for the plant's growth process. Although not shown, a lux meter placed approximately 5 cm from the grow light was used to measure illuminance. This value was then used to determine the PPFD incident on the plant. The meter measured 5053 lux, which was converted to a PPFD of 448.36 μmol / m² for the plant. 2 / s. The PPFD of growth lamp radiation is greater than 80μmol / m 2 / s standard requirement, in the vegetative period of lettuce is greater than 150μmol / m 2 / s(PPFD) standard requirements.

[0053] An experiment was conducted by sowing lettuce seeds to study the effectiveness of grow lights.

[0054] Lettuce seeds were sown and the pots sealed to block out external light. The seeds germinated well, and the seedlings grew leaves larger than 2 cm in an environment with only light from a grow lamp. The lettuce seeds germinated and the seedlings grew well under a 439.8 mW grow lamp, which consisted of thirteen common-cathode tri-color LEDs with a 1:1 RB ratio. The lamp's illuminance at 5 cm was 11.49 lux / mW, proving sufficient to germinate the lettuce seeds and grow seedling leaves larger than 2 cm. These findings led to the subsequent task of building a larger grow lamp with greater power to achieve even stronger illumination.

[0055] The effect of a closer grow light – The closer the grow light is, the stronger the illumination.

[0056] When the grow light is placed closer, the illumination is found to be stronger. When multiple LEDs are placed from 4 cm to 10 cm apart, the illumination decreases. A lux meter was used to verify the difference in illumination due to distance. When the grow light was placed 5 cm above the lux meter, the illumination was measured at 5053 lux, while when it was placed 3 cm above the lux meter, the illumination was measured at 6385 lux. The illumination increases when the grow light is placed closer.

[0057] Experimental work to achieve optimization via RB ratio.

[0058] The RB ratio requirements change at different stages of the lettuce growth cycle. Therefore, the RB ratio needs to be changed relative to the growth stage for optimization. There are two ways to achieve the change of the RB ratio in a transparent common cathode tri-color LED:

[0059] 1) Change the delay time of a single color by coding.

[0060] For example, for RB=2, the program delay time of red light is twice that of blue light.

[0061] 2) Change the light intensity of a single color by coding.

[0062] For example, for RB=2, the intensity of red light is programmed to be twice that of blue light.

[0063] Optimized experimental work through energy savings.

[0064] As the lettuce grows larger, the outer rows of grow lights (1a) are turned on: A LED activation scheme was designed to optimize energy use. When the seeds are first planted, only the grow lights (1b) in the center row are turned on. As germination begins and the seedlings' leaves grow larger, rows of LEDs further away from the center row are turned on to accommodate the growing lettuce, which requires a higher PPFD.

[0065] As the lettuce grows taller, the light source's PPF decreases: As the lettuce grows taller, it grows closer to the grow light and receives more PPFD. If it receives more PPFD than needed, it wastes light energy. Therefore, grow lights should be able to conserve energy as the lettuce grows taller. To simulate the lettuce growing taller, place a ruler near ultrasonic sensor 2; when the ruler is close to ultrasonic sensor 2, multiple LEDs dim.

[0066] Optimized experimental work is achieved through system expansion.

[0067] To add LED boards to the grow light system as the lettuce crop grows, four small LED board modules are connected to an Arduino microcontroller. This system allows the grow light to be expanded by connecting more LED boards to the Arduino microcontroller. Conversely, when not needed, fewer LED boards are connected to the microcontroller. As the lettuce crop grows, requiring more light, more LED board modules are connected to the Arduino microcontroller without the need to install another grow light system.

[0068] The experiment verified that the distance between the grow light and the lettuce is an important factor for healthy growth.

[0069] Experiments were conducted to investigate how illuminance changes with the distance between the grow light and the plant. Knowing the required PPFD for the lettuce and the photosynthetic photon flux of the grow light, Equation 1 can be used to determine the distance h between the plant and the grow light. The value of h is important because it determines how far the plant should be from the grow light to receive the required illuminance and, therefore, the PPFD.

[0070] During the initial stages of growth, when the seedlings' leaves are still small, the illuminated area may be small, but it still provides complete coverage for the seedlings. Therefore, the grow light can be placed close to the seedlings to receive a high amount of PPFD. However, as the lettuce grows and its leaves become larger, the grow light needs to be further away to ensure it still provides adequate illumination coverage. As a result, the illumination becomes weaker, and the PPFD received by the lettuce is lower. It is important to know the maximum distance between the plants and the grow light to ensure that the plants remain within the desired range.

[0071] Figure 3 and Figure 4 The results in the table and plots show that the experimental results are consistent with the derived equations, namely the related illuminance / PPFD and the distance h of the lettuce from the growing light, as shown in Equation 1. The experiment used blue light: the wavelength λ = 465nm, and the illuminance measured in lux was converted to irradiance (W / m 2 ), and then converted to PPFD (μmol / m 2 / s).

[0072]

[0073] Where h = distance from light source to plant

[0074]

[0075] P = photosynthetic photon flux

[0076] from Figure 4 You can notice in the graph shown that the changes in illuminance are more pronounced when you are close to the grow light than at further away. When you are close to the grow light, changes in height can cause large changes in illuminance.

[0077] Experiments were conducted under red light, blue light and green light to study the growth of vegetable.

[0078] Four common-cathode, three-color LEDs were used to construct a grow light circuit. Three such circuits were fabricated and programmed, and from the moment the seeds were sown, one color per light was illuminated on three pots of lettuce. Sixteen days after sowing, the growth of the lettuce under red, blue, and green light was compared. The lettuce germinated well under blue light but poorly under red and green light.

[0079] The blue LEDs had the highest efficiency, at 75.6 lux / mW, which aided germination. The seedlings were 2 cm wide, the largest of the three types. Although green light produced an efficient illumination of 69.9 lux / mW, it did not help the lettuce germinate well. This is consistent with the fact that plants require green light for growth but do not absorb it very well. Red light had the lowest efficiency of the three colors, at 22.1 lux / mW. The seedlings had long, thin stems and small leaves. This is consistent with the fact that plants require red light to grow tall.

[0080] The present disclosure includes the contents described in the appended claims and the contents described in the above description. Although the present invention has been described in its preferred form with a certain degree of detail, it should be understood that the preferred form of the present disclosure is only for example, and various changes can be made to the construction details and the combination and arrangement of parts without departing from the scope of the present invention.

Claims

1. A system for controlling the growth of plants, wherein: include: at least one lighting device (1), the lighting device (1) being used to illuminate the plants with light of a variable spectrum; at least one sensor (2) configured to detect a plurality of growth parameters of the plant; and a processor (3) configured to analyze the plurality of growth parameters detected by the sensor; The processor (3) is further configured to control various combinations of the plurality of light spectra based on the plurality of growth parameters such that each light spectrum is combined into a ratio that allows customized lighting conditions for various plants.

2. The system according to claim 1, wherein: The lighting device (1) comprises a plurality of light emitting diodes (LEDs) configured to emit red, green and blue light.

3. The system according to claim 2, wherein: The light emitting diodes are arranged on one or both of the inner portion (1b) and the outer portion (1a) of the panel of the lighting device (1).

4. The system according to claim 3, wherein: The interior (1b) comprises at least three different segments of light emitting diodes.

5. A system according to any one of the preceding claims, wherein: The sensor (2) includes any one or a combination of an ultrasonic sensor, a camera, a humidity sensor and a temperature sensor.

6. A system according to any one of the preceding claims, wherein: The plurality of growth parameters include, but are not limited to, plant type, plant health, plant growth stage, and environmental conditions.

7. A system according to any one of the preceding claims, wherein: The processor (3) includes a dimming module (3b), and the dimming module (3b) is configured to control one or more settings of the lighting device (1).

8. The system according to claim 7, wherein: The settings include any one or a combination of light intensity, type of spectrum, duration of illumination, and spectrum ratio.

9. A system according to any one of the preceding claims, wherein: The processor (3) comprises an optimization module (3a) configured to analyze the plurality of detected growth parameters by employing artificial intelligence.

10. The system according to claim 9, wherein: The optimization module (3a) is further configured to optimize the settings of the lighting device (1) and make adjustments based on the detected plurality of growth parameters to generate a plurality of customized lighting configurations for various plants.

11. The system according to claim 10, wherein: The invention further comprises a computer-readable storage module (4) for storing a plurality of data sets of the plurality of growth parameters and a plurality of customized lighting configurations for the plants.

12. A method for controlling the growth of plants, wherein: include: The step of detecting a plurality of growth parameters of the plant by means of at least one sensor (2); The step of analyzing the detected plurality of growth parameters by a processor (3); and a step of irradiating light to the plants by at least one lighting device (1); The processor (3) is further configured to control various combinations of the plurality of light spectra based on the plurality of growth parameters such that each light spectrum is combined into an RGB ratio that allows customized lighting conditions for various plants.

13. The method according to claim 12, wherein: It further comprises the step of analyzing the plurality of growth parameters using artificial intelligence through an optimization module (3a).

14. The method according to claim 13, wherein: The method further comprises the step of optimizing the settings of the lighting device (1) based on the plurality of growth parameters by the optimization module (3a) to generate a plurality of customized lighting configurations for various plants.

15. The method according to claim 14, wherein Further including: The step of storing a plurality of data sets of said plurality of growth parameters and a plurality of customized lighting configurations for said plants on a computer readable storage module (4).

16. The method according to claim 14 or 15, wherein: It further comprises the step of executing instructions by the processor (3) to optimize the settings of the lighting device (1) based on the detected plurality of growth parameters.

17. The method according to any one of claims 14 to 16, wherein The method further comprises the step of executing instructions by the processor (3) to adjust the ratio of a plurality of spectrums including red light, green light and blue light based on the plurality of customized lighting configurations for various plants.

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