Hydroponic cultivation device and system including same

Abstract

According to an embodiment of the present invention, a hydroponic cultivation apparatus and a system including the same are provided. The cultivation apparatus includes a frame, a plurality of functional systems, a first plurality of sensors configured to monitor conditions associated with the cultivation of one or more plants, and one or more modular storage cabinets removably attached to the frame. The one or more modular storage cabinets are pre-assembled and include electronics configured to communicate with one or more of the first plurality of sensors and the plurality of functional systems. The electronics include a main controller configured to collect data from the first plurality of sensors.

Description

[Technical field]

[0001] CROSS-REFERENCE TO RELATED APPLICATIONS This application claims priority to Hong Kong Short Term Patent Application No. 32021040786.4, filed on October 20, 2021, entitled "Hydroponics farming apparatus, and systems including the same," which is incorporated herein by reference in its entirety.

[0002] The present invention relates to hydroponic cultivation. [Background technology]

[0003] There is an increasing demand for fresh food in the world. Food shortages can occur due to various reasons such as population growth, climate change, lack of investment, and lack of talent in the industry. Many regions are highly dependent on external food supplies. Take Hong Kong for example. Statistics show that 95% of the food supply comes from other countries or regions. Hydroponics has been developed to increase food supply, but the existing system is still inadequate.

[0004] New growing devices, systems, and methods are desirable to help advance technological needs and industrial applications in hydroponic cultivation. Summary of the Invention

[0005] According to one aspect of the embodiment, a hydroponic cultivation apparatus for plant production is provided. The cultivation apparatus includes a frame configured to define an interior space for cultivating one or more plants, a plurality of functional systems configured to facilitate the cultivation of the one or more plants, a first plurality of sensors configured to monitor conditions associated with the cultivation of the one or more plants, and one or more modular storage cabinets removably attached to the frame. The one or more modular storage cabinets include electronics that are pre-assembled and configured to communicate with one or more of the first plurality of sensors and the plurality of functional systems. The one or more modular storage cabinets further include a pre-assembled interface configured to interface and function with one or more of the plurality of functional systems. The electronics include a main controller configured to collect data from the first plurality of sensors, the main controller configured to provide instructions associated with controlling the plurality of functional systems.

[0006] According to another aspect of the embodiment, a hydroponic cultivation system for plant production is provided. The hydroponic cultivation system includes at least one hydroponic cultivation apparatus for cultivating one or more plants, each of the at least one hydroponic cultivation apparatus including one or more modular storage cabinets removably mounted within the hydroponic cultivation apparatus, one or more networks, and a cloud server in communication with the at least one hydroponic cultivation apparatus via the one or more networks. The cloud server includes a storage for storing data received from the at least one hydroponic cultivation apparatus, and an artificial intelligence processor for processing the data based on an artificial intelligence algorithm to obtain a processing result. The cloud server is configured to generate instructions based on the processing result and provide the instructions to the at least one hydroponic cultivation apparatus for controlling the cultivation of the one or more plants.

[0007] Other example embodiments are described herein. [Brief description of the drawings]

[0008] [Figure 1] FIG. 1 illustrates a hydroponic cultivation apparatus according to an embodiment of the present invention. [Diagram 2] 1 illustrates a modular storage cabinet according to an example embodiment of the present invention. [Figure 3A] FIG. 1 illustrates a hydroponic cultivation apparatus according to an embodiment of the present invention. [Figure 3B] FIG. 3B is a diagram illustrating an internal arrangement of the hydroponic cultivation apparatus illustrated in FIG. 3A. [Figure 4] 1 is a diagram illustrating the internal operation of a hydroponic cultivation device according to an embodiment of the present invention. FIG. [Figure 5A] 1A-1C are diagrams illustrating plants to be used in a bucket system according to an example embodiment of the present invention. [Figure 5B] FIG. 1 illustrates a plant to be used in a tower system according to an example embodiment of the present invention. [Figure 5C] FIG. 1 illustrates plants to be used in a stack tray system according to an example embodiment of the present invention. [Figure 6] FIG. 1 illustrates a hydroponic system according to an example embodiment of the present invention. [Figure 7] FIG. 1 illustrates a hydroponic system according to another example embodiment of the present invention. [Figure 8] 1 is a flow chart illustrating a hydroponic cultivation method according to an example embodiment of the present invention. [Figure 9] 10 is a flow chart illustrating a hydroponic cultivation method according to another example embodiment of the present invention. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0009] Example embodiments relate to hydroponic devices, systems, and methods that facilitate plant production.

[0010] Many existing hydroponic systems and designs are pre-assembled inside a shipping container. For example, a shipping container may typically have dimensions of 12 meters long by 2.44 meters wide by 2.89 meters high. Once the container is equipped with all the necessary equipment and hardware, the available space inside the shipping container is limited and relatively small for growing plants. Furthermore, since the shipping container is pre-assembled, it is difficult to provide the system with features for customization. It is difficult to modify the system by incorporating new features. The cost of logistics for transporting shipping containers to remote locations is also high, which may be an obstacle for users with limited resources. Furthermore, existing system designs typically allow users to grow only a single product (mainly lettuce due to the small space required), and a complete redesign is required to grow a different product.

[0011] Further drawbacks identified by the inventors include the need for extensive human input and agricultural knowledge. Existing system designs typically use on-board software management systems with limited functionality. As a result, a user may only be able to control one individual container. Furthermore, there may be significant discrepancies and incompatibilities in the equipment, hardware, and software provided by different providers. This also requires a significant degree of human intervention.

[0012] Example embodiments address one or more of these problems associated with existing system designs and provide technical solutions with novel designs for hydroponic devices, systems, and methods.

[0013] Example embodiments include a hydroponic device with a democratic and modular design concept to simplify logistics and installation for users. According to one or more embodiments, the frame structure of the hydroponic device can be manufactured in a customized size different from (e.g., larger than) the standard size of existing shipping containers. The frame structure adopts a modular design that requires simple assembly after arriving at the destination. Users can advantageously move the hydroponic device from one location to another with reduced logistics costs. That is, the hydroponic device is a portable device.

[0014] According to one or more embodiments, the hydroponic cultivation device provides increased flexibility and compatibility. In contrast to the fully assembled systems of existing designs, the design concept provided herein uses a democratic design process that provides users with a prefabricated hydroponic cultivation system that they can assemble themselves. The modular design provides users with one or more preassembled storage cabinets with various technical equipment installed. Users only need to install or mount the storage cabinet(s) in one or more dedicated locations (depending on the number of storage cabinets) inside the cultivation device and connect the elements (such as electrical or mechanical connections) that are needed together to operate the hydroponic cultivation system.

[0015] Since the storage cabinet is formed as a pre-assembled module with various electronic devices and interfaces pre-assembled, the user can easily assemble the hydroponic cultivation device or hydroponic cultivation farm with little expertise. For example, the user does not need extensive knowledge to assemble the electronic devices. This reduces the labor and the possibility of errors. On the other hand, since it is pre-assembled in the cabinet, it is not necessary to disassemble all the electronic devices and components, making disassembly easier. This can reduce the labor significantly.

[0016] Furthermore, the system design according to one or more embodiments provides increased flexibility and compatibility. The storage cabinet can be customized according to actual needs. For example, the electronics in the storage cabinet can be easily programmed or modified to meet different needs. It is advantageous to incorporate hardware or elements to add new or additional applications without significantly modifying the rest of the system.

[0017] The hydroponic design described herein may allow users to grow a wide range of plants or crops, increasing the size of the frame structure to establish a larger growing area and produce more plants, improving crop production, and reducing the need for agricultural expertise, allowing users with little or no experience to start growing in a desired location.

[0018] Example embodiments include a hydroponic system that includes one or more hydroponic farms. Each hydroponic farm can be placed at a desired location and remotely controlled by an artificial intelligence (AI) system. This can be fully automated by utilizing big data and cloud computing technologies to manage the technical parts of the cultivation process. Each hydroponic farm is equipped with multiple sensors to collect data that the AI ​​system should use to provide instructions for controlling all the equipment required in providing the elements (light, air, water, nutrients, etc.) required for plant growth.

[0019] According to one or more embodiments, the hydroponic system provides and collects formatted data that can be used to improve consistent quality control, thereby allowing control of multiple hydroponic farms located in different locations with less investment in personnel and equipment. Furthermore, it allows every farm to collect and provide uniform data, thereby providing users with accurate agricultural data that can be used on other farms regardless of location, reducing variance due to human input.

[0020] Formalized data collection methods can be implemented by providing the same equipment and hardware to all users to obtain consistent data. These methods facilitate the deep learning required for the AI ​​system by providing consistent data regardless of where the farm is located and the type of plant being grown. As the technical aspects have been simplified, users no longer need prior experience or knowledge to start cultivation. The data collection methods allow the AI ​​system to improve and control the cultivation requirements required for the plants. The collected data can be stored in the cloud server and used to develop data training and learning modes. With the collected data and cultivation management, the system promotes innovation to the agricultural industry and contributes to the sustainability of the profitable food supply.

[0021] 1 illustrates a hydroponic cultivation system 100 according to an example embodiment of the present invention. The hydroponic cultivation system 100 establishes a field or growing area for producing one or more plants or crops.

[0022] The hydroponic cultivation apparatus 100 has a frame configured to define an interior space for cultivating plants. As illustrated, the hydroponic cultivation apparatus 100 includes a plurality of functional systems 120, a first plurality of sensors 140, and one or more modular storage cabinets 160.

[0023] The functional system 120 facilitates the cultivation of one or more plants by performing one or more functions. As an example, the functional system 120 may include a number of lighting devices that provide the light necessary to grow plants, such as to perform photosynthesis. The lighting devices may include one or more incandescent light sources (e.g., incandescent light bulbs), light emitting light sources (e.g., light emitting diodes (LEDs)), and the like.

[0024] The lighting devices may be positioned in any suitable location. For example, in one embodiment, a first portion of at least one of the plurality of lighting devices is attached to an interior wall of the hydroponic cultivation apparatus 100 and a second portion of at least one of the plurality of lighting devices is attached to a ceiling of the hydroponic cultivation apparatus 100. Alternative arrangements are possible. The interior wall or ceiling may be part of the frame.

[0025] As an example, the functional system 120 may include one or more energy harvesting devices for harvesting energy from nature. In some embodiments, the energy harvesting devices may include one or more photovoltaic devices. The photovoltaic devices may be solar panels disposed on or constituting part of the roof of the hydroponic cultivation apparatus 100. The roof may be defined by a frame, such as being part of the frame. The solar panels may be formed from inorganic materials, such as silicon, or organic materials, such as polymers. The photovoltaic devices utilize solar energy to charge an energy storage device (such as a battery) or power electronics of the hydroponic cultivation apparatus 100.

[0026] In some other embodiments, the energy harvesting device may include a wind turbine to harvest wind energy. The wind turbine may be located at a suitable location. As an example, four wind turbines may be arranged at each corner of the farmland and attached to the frame of the hydroponic cultivation device 100.

[0027] In some other embodiments, the energy harvester includes a hydrogen fuel cell for energy storage. As an example, solar or wind energy can be used to electrolyze water to separate oxygen and hydrogen. The oxygen is released and the hydrogen is stored in the hydrogen fuel cell. The hydrogen gas is then converted back to electricity from the hydrogen fuel cell as needed. As a result, this can replace the use of a battery as an energy storage device. Other types of energy harvesters are possible as long as a certain type of energy can be harvested from nature.

[0028] As an example, the functional system 120 may include one or more video capture devices, such as a video camera, that captures visual information (video, images, etc.) of the plant's growing environment or the plant itself, which can then be processed and based to facilitate control of the cultivation process.

[0029] Optionally or additionally, the functional system 120 includes a pollination device that helps to collect pollen from male plants and mechanically facilitate the transfer of the pollen to pollinate female plants. This is preferred for growing certain plants in certain geographical areas or in certain seasons. In some embodiments, for example, the pollination device can generate soap bubbles that can deliver pollen to flowers to pollinate the plants. The pollination device can be appropriately installed in the field and can be remotely controlled by an on-site controller or by a cloud server.

[0030] The functional system 120 may include other elements, such as pipelines for transporting fluids, modular storage cabinets 160, sensors 140, or connections for connecting and functioning with plant units (such as flower pots), etc. The functional system 120 may include mechanical or electrical elements.

[0031] The sensors 140 may include various sensors that monitor conditions related to the cultivation of plants. The sensors 140 may include, for example, one or more temperature sensors, humidity sensors, light sensors, gas sensors, etc. For example, a light sensor may be provided to collect lighting information related to a lighting device. The lighting information may include, but is not limited to, light intensity, distribution, light emission time, etc., and based on the lighting information, the lighting device may be monitored or adjusted to achieve desired lighting conditions for the cultivation of plants.

[0032] The modular storage cabinet 160 may be removably attached to the frame of the hydroponic cultivation apparatus 100. The number of the modular storage cabinets 160 may be one, two, or more. The modular storage cabinet 160 includes pre-assembled electronics 162 configured to communicate with one or more of the sensors 140 and the functioning system 120. The modular storage cabinet 162 includes pre-assembled interfaces 166 (such as electrical interfaces or mechanical interfaces) that can connect and function with one or more of the sensors 140 and the functioning system 120. The electronics 162 includes a main controller 164 that communicates with the sensors 140 for data collection. The main controller 164 can process the collected data and provide instructions related to the control of the functioning system 120.

[0033] In one embodiment, the main controller 164 communicates with an external electronic system, such as a server, a personal computer, a smartphone, a laptop, etc., via one or more networks, such as wired or wireless networks. The main controller 164 may send the collected data to the external electronic system for processing, and may provide instructions related to controlling the cultivation based on the processing results by the external electronic system. Alternatively or optionally, the main controller 164 may process the data on its own, and then transmit the data to the external electronic system so that the processing results can be visually displayed on the external electronic system for user confirmation. Alternatively or optionally, the user may provide instructions to the main controller 164 via the external electronic system to control the cultivation of plants in the hydroponic cultivation apparatus 100. The collected data may be stored in the electronic device 162 for a certain period of time.

[0034] 2 illustrates a modular storage cabinet 260 according to an example embodiment of the present invention. Modular storage cabinet 260 may be a specific implementation of modular storage cabinet 160, for example, with reference to FIG.

[0035] As illustrated, modular storage cabinet 260 includes sensors 261, an environmental system 263, a main controller 264, and an irrigation system 265. Main controller 264 may be, for example, a specific implementation of main controller 164 with reference to FIG. 1. Main controller 264 is in electrical communication with sensors 261, as well as sensors disposed within the hydroponic cultivation apparatus but outside of modular storage cabinet 260. Main controller 264 may further exchange data with one or more remote electronic devices (e.g., a server, a laptop, a smart phone, an iPad, etc.).

[0036] The sensors 261 detect additional conditions related to the cultivation of plants. For example, the sensors 261 may be used to monitor the internal environment of the modular storage cabinet 260. The sensors 261 may collect data related to the operating conditions of the environmental system 263 or the irrigation system 265, or both, and then provide the collected data to the main controller 264.

[0037] The environmental system 263 controls the environmental conditions of the hydroponic cultivation apparatus when the modular storage cabinet 260 is placed in the hydroponic cultivation apparatus. As illustrated, the environmental system 263 includes a ventilation means 2632. The ventilation means 2632 may include one or more fans or blowers. The fan may function in connection with one or more air duct pipes attached to the frame of the hydroponic cultivation apparatus to control the temperature and humidity inside the farmland. The sensor 261 may include an air temperature sensor, a humidity sensor, etc. for monitoring parameters such as temperature and humidity of the environmental system 263.

[0038] As illustrated, irrigation system 265 includes a reverse osmosis filtration system 2651, a reverse osmosis reservoir 2652, and a purified water reservoir 2653. Reverse osmosis filtration system 2651 filters water received from a water source, such as an external water tank or rainwater source. Reverse osmosis reservoir 2652 stores the water received from reverse osmosis filtration system 2651. Purified water reservoir 2653 stores the water received from reverse osmosis reservoir 2652.

[0039] In some embodiments, the sensor 261 further includes a volume sensor and a temperature sensor. The temperature sensor is disposed in the purified water reservoir 2653 and monitors the temperature of the water. The volume sensor monitors the volume of water in the purified water reservoir 2653.

[0040] As illustrated, the irrigation system 265 includes a nutrient supply tank 2656 for supplying nutrients, and a nutrient solution reservoir 2657 connected to the nutrient supply tank 2656 for preparing a nutrient solution. The sensor 261 may include a sensing means disposed in the irrigation system 265 for monitoring a parameter related to the nutrient solution. A temperature adjustment means 2658 (cooling condenser, heater, etc.) is provided for adjusting the temperature of the nutrient solution. A stirring means 2659 including a stirring motor is provided for mixing or stirring the nutrient solution. The nutrient solution reservoir 2657 may be operatively connected to a nutrient solution transport means (such as one or more nutrient solution supply pipes attached to the frame of the hydroponic cultivation apparatus) to transport the nutrient solution to the plants being cultivated. Furthermore, the nutrient solution reservoir 2657 may be operatively connected to a nutrient solution return means (such as one or more nutrient solution return pipes attached to the frame, or a bottom bed through which a fluid can flow, etc.) to return unused nutrient solution to the nutrient solution reservoir 2657 for further use.

[0041] In some embodiments, the irrigation system 265 includes one or more hydrogen ion index (pH) adjustment tanks. As an example, the irrigation system 265 includes a pH up tank and a pH down tank in fluid communication with the nutrient solution reservoir 2657. As an example, the pH up tank may include potassium hydroxide (KOH) and potassium carbonate (K2CO3). The pH down tank may include phosphoric acid (H3PO4), such as food grade H3PO4. If the pH level of the nutrient solution is low, the contents in the pH up tank may be transferred into the nutrient solution reservoir 2657 to increase the pH level. If the pH level of the nutrient solution is high, the contents in the pH down tank may be transferred into the nutrient solution reservoir 2657 to decrease the pH level. In this manner, the pH level of the nutrient solution may be maintained at a desired level.

[0042] As illustrated, optionally, the irrigation system 265 may further include a rainwater collection reservoir 2655 for collecting rainwater. The rainwater collection reservoir 2655 may function in conjunction with a rainwater collection means (such as a rainwater collection pipe attached to the frame of the hydroponic cultivation device) to allow rainwater that falls on the hydroponic cultivation device to be collected and used. This can conserve significant amounts of water supply, especially in areas with heavy rainfall.

[0043] 3A-3B illustrate a hydroponic cultivation apparatus 300 according to an example embodiment of the present invention. For example, the hydroponic cultivation apparatus 300 may be a specific implementation of the hydroponic cultivation apparatus 100 with reference to FIG.

[0044] The hydroponic cultivation apparatus 300 is portable and can be moved from a first physical location to a second physical location while reducing logistical costs.

[0045] As illustrated, the hydroponic system 300 includes a frame structure or frame 310 with insulated walls and ceiling. The assembled frame 310 is illustrated as having a rectangular parallelepiped configuration, although other configurations are possible. The frame 310 may be formed of a suitable material, such as metal. The frame may be sized according to practical requirements. The frame 310 defines an interior space 312 for growing plants. By way of example, the frame has dimensions of 12 meters (L) by 3 meters (W) by 3 meters (H). The interior floor may be layered with water-resistant polyvinyl chloride (PVC) tiles.

[0046] The entrance 314 of the hydroponic cultivation apparatus 300 is located at a suitable location for personnel to enter and exit and is equipped with an air shower with a security control system. Figures 3A and 3B illustrate three modular storage cabinets 360a, 360b, and 360c located in close proximity to the entrance 314. The storage cabinets 360a, 360b, and 360c contain technical equipment such as electronics, interfaces, etc. The three storage cabinets are for illustrative purposes only. In some embodiments, there may be fewer cabinets (such as one or two) or more cabinets (such as four, five, or more).

[0047] In this embodiment, electronic devices, such as an on-site main controller or controller circuit, data storage or memory, and network interface, are stored inside the storage cabinet 360a. Collected data from various sensors inside the hydroponic cultivation apparatus may be temporarily stored in the data storage. The main controller may process the collected data and send the processed results to an off-site main server controller and big data storage using cloud computing technology. The data may then be used by an AI system to provide instructions that are sent back to the on-site controller to control the operation of the hydroponic cultivation apparatus.

[0048] An environmental system is provided in the storage cabinet 360b. The environmental system includes a heating, ventilation, and air conditioning (HVAC) system. A number of temperature and humidity sensors are provided. For example, some sensors are disposed in the interior space 312, while some sensors are disposed outside the frame 310. These sensors collect environmental data such as temperature, humidity, etc., and provide the collected data to a main controller. The main controller controls the operation of the HVAC system based on these data. For example, the HVAC system may include a circulation fan, an intake fan, or an exhaust fan. The controller may issue an instruction to turn on or off one or more of these fans to manage the temperature and humidity inside the farmland. Furthermore, as illustrated in FIG. 3B, two air duct pipes 370 are attached to the ceiling and connected to the storage cabinet 360b. The two air duct pipes 370 are illustrated as being attached on opposite sides. Each air pipe is divided between two rows of plants to obtain an even distribution, and extends horizontally vertically from front to back. In some embodiments, the HVAC system is located within the field but outside the storage cabinets, while in some other embodiments, at least a portion of the HVAC system is located within one or more of the storage cabinets.

[0049] An irrigation system is provided in the storage cabinet 360c. The irrigation system includes a reverse osmosis filtration system, a reverse osmosis reservoir, and a purified water reservoir, for example, referring to FIG. 2, reverse osmosis filtration system 2651, reverse osmosis reservoir 2652, and purified water reservoir 2653. A fresh water source is connected to the field controlled by a solenoid valve and a pump. The fresh water is then filtered through the reverse osmosis filtration system, stored in the reverse osmosis reservoir, and then transferred by the pump to the purified water reservoir when the solenoid valve opens. A temperature sensor is mounted inside the purified water reservoir to record the temperature. The purified water reservoir includes a volume sensor that monitors the volume of purified water to ensure there is enough purified water to run the field. When the solenoid valve opens, the purified water is transferred by the pump to a nutrient solution reservoir (such as nutrient solution reservoir 2657 referring to FIG. 2) to ensure the proper mixing level of the purified water and nutrients before use in the hydroponic cultivation system. As an example, optionally and additionally, the irrigation system may include a rainwater collection reservoir, such as rainwater collection reservoir 2655 with reference to Figure 2. A rainwater collection pipe 358 is installed on one side of the roof to allow for the collection of rainwater.

[0050] Optionally and additionally, the irrigation system can include a seawater desalination reverse osmosis system that can convert unusable seawater into water suitable for irrigating plants in the farmland by using reverse osmosis technology. This is advantageous for cultivation in geographical locations where fresh water is limited but abundant seawater is available. As an example, seawater is obtained from the sea by pumping means. After screening of trash, sand, and gravel by screening means, the seawater undergoes a series of processes including coagulation, flocculation, and filtration to remove fine solids and suspended matter. The seawater is then forced under high pressure through a semi-permeable membrane through which only water molecules can pass, while at the same time blocking most of the salts present in the seawater, forming concentrated salt water that is returned to the sea. The seawater undergoes multiple stages of reverse osmosis to enhance salt removal. The purified water can be used as process water for plant production in the farmland.

[0051] The desalination reverse osmosis system can be installed within one of the modular storage cabinets with communication channels (such as pipes) in fluid communication with the seawater source and the plant receiving devices (pots, trays, etc.). Alternatively, the desalination reverse osmosis system can be provided as a stand-alone system that can be installed as part of the hydroponic growing device but outside the modular storage cabinet. This allows flexibility. For example, the desalination reverse osmosis system can be provided for growing only in certain areas where fresh water is limited or scarce.

[0052] The irrigation system further includes a nutrient solution reservoir and a nutrient supply tank, e.g., nutrient solution reservoir 2657 and nutrient supply tank 2656 with reference to FIG. 2. A nutrient solution volume sensor is provided to measure the amount of nutrient solution currently in the nutrient solution reservoir. If the nutrient solution is below a predetermined volume or the quality does not meet a predetermined requirement, filtered water from the purified water reservoir is transferred to the nutrient solution reservoir controlled by a solenoid valve and pump. A temperature sensor is provided to ensure that a desired temperature is maintained. A cooling condenser or heating coil is provided to cool or heat the nutrient solution to a desired temperature before use in the hydroponic system. A dissolved oxygen (DO) sensor is provided to measure the oxygen level in the nutrient solution. An oxygen pump may be turned on to increase the oxygen level in the nutrient solution or turned off once the oxygen level is reached. An electrical conductivity (EC) sensor and a pH sensor may be provided to measure the nutrient level in the nutrient solution. In some embodiments, once the EC and pH levels are obtained, the AI ​​system determines the desired amount of nutrients that need to be added into the nutrient solution from three nutrient supply tanks controlled by one or more solenoid valves. Each nutrient supply tank is equipped with a volume sensor to verify that sufficient nutrients are available or that nutrients need to be replenished when the nutrients fall below a certain amount. With the stirring motor turned on, a desired or exact amount of fresh water and nutrients can be added into the nutrient solution to thoroughly mix the solution. Once the desired levels of EC and pH are reached, the nutrient solution can be fed into the hydroponic system. Additionally, pH up and pH down tanks are provided in fluid communication with the nutrient solution reservoir to adjust the pH level of the nutrient solution therein as needed. The remaining nutrient solution used in the hydroponic system can be recovered and reused until the EC and pH levels cannot reach the optimal or predetermined levels. Waste nutrient solution may be pumped to an external wastewater reservoir for recovery.Nutrient solution supply pipes 354 are mounted on the ceiling, with one main pipe mounted on one side (e.g., the left side) running horizontally vertically and connected to a storage cabinet 360c. The main pipe is divided into seven sub-pipes running from one side to the other (e.g., the right side) and distributed among the 14 rolls of plants for even distribution.

[0053] Nutrient solution return pipes 356 are mounted under the floor (floor removed for visibility) with one main pipe mounted on the left side running horizontally vertically and connected to storage cabinet 360c. Seven sub-pipes running from right to left are connected to the main pipe running horizontally vertically and connected to storage 360c housing the nutrient solution reservoir. When the nutrient solution is no longer optimal or falls below a predetermined value, the nutrient solution reservoir may transfer waste nutrient solution to an external wastewater reservoir.

[0054] In some other embodiments, the nutrient solution return pipe 356 is not used. Rather, other suitable methods for collecting waste nutrient solution can be employed. For example, a floor can be used to collect the waste nutrient solution. The floor can be sloped to allow the waste to flow under gravity towards a designated tank or area for collection. A bridge can be provided above the floor to allow a user to walk on. Alternatively, an additional floor (referred to as an upper floor) may be placed above the floor through which the waste flows (referred to as a bottom floor). The additional floor can be formed to allow fluid to pass downward and fall onto the bottom floor.

[0055] A number of lighting devices are placed within the field. As illustrated, LED lights 390 provide light with the same spectrum as the sun to the interior of the field, covering the interior surface area. Four rows of LED lights 390 are mounted horizontally from ground to ceiling and vertically from front to back. Two more rows are mounted back to back suspended from the ceiling. Light sensors are placed at appropriate locations to provide light-related data to an on-site controller to manage a lighting schedule that controls when to turn on or off the LED lights.

[0056] An energy harvesting device is provided to harvest energy. In the illustrated embodiment, solar panels 352 are installed on the roof, partially or completely covering the surface area of ​​the roof. The solar panels 352 are connected to a storage cabinet 360a that includes a balance of system (BOS). The BOS may include a combiner box, a charge controller and a storage battery or battery pack for a stand-alone system, an inverter, a mounting structure, wiring, switch gear and fuses, surge arresters, earth fault protection devices, etc. The charge controller manages the power harvested from the solar panels 352 and converts the power from alternating current (AC) to direct current (DC). A grid power input sensor is provided to collect data on the amount of power provided to the grid power when the battery pack has already reached its maximum capacity. A grid power output sensor is provided to collect data on the amount of power used for the farm when the battery pack is empty. A battery pack input sensor is provided to collect data on the amount of power harvested from the solar panels. A battery pack output sensor is provided to collect data on the amount of power used for the farm. A battery pack quantity sensor is provided for monitoring the amount of power stored in the battery pack. An optional generator output sensor is provided for collecting data on the amount of power used from the generator. The sensor and BOS communicate with an on-site controller that controls the power supply of the farm. In some other embodiments, the energy harvesting device may be a wind turbine for harvesting wind energy. Other types of energy harvesting devices may be possible.

[0057] A video capture device is provided to capture visual information. As illustrated, cameras 380 (e.g., high-definition cameras, 4K cameras, or other types of cameras, e.g., cameras with other resolutions) are mounted horizontally from ground to ceiling and vertically from front to back. One row is mounted on the right wall and one row is mounted on the left wall. The cameras 380 cover the interior surface area and collect data by the on-site controller, which is sent to an AI system to analyze the condition and health of the plants being grown. The cameras 380 may further provide security for the farmland. The cameras 380 may further provide video streaming to the user so that the user can visually check the interior environment of the farmland.

[0058] Carbon dioxide (CO2) level sensors are provided to measure the CO2 content inside the farmland. With the collected data, the main controller or AI system can control the solenoid value of the CO2 tank to open or close until the correct CO2 level is reached. A CO2 supply tank sensor is provided to ensure that there is CO2 available for refilling when it falls below a certain level. A CO2 supply means 372 is attached to the ceiling by two pipes, one on the left and one on the right. Each pipe is split between two rows of plants to get an even distribution, runs horizontally vertically, and is connected to a storage cabinet 360c that houses the CO2 supply tank. As an example, typically the CO2 level in the air is 400 ppm. On average, the CO2 in the farmland can be kept within 1200-1500 ppm. The CO2 supply tank sensor is placed in the tank with a pressure gauge. The main controller or AI system can get the readings from the CO2 supply tank sensor and controls the solenoid valve to release the current amount of CO2 from the supply tank.

[0059] FIG. 4 illustrates the internal operation of a hydroponic cultivation device according to an example embodiment of the present invention.

[0060] As illustrated, a nutrient solution is supplied to the plant 410 from a nitrified, pH-controlled water reservoir 430. The water reservoir 430 is in fluid communication with a clean water reservoir 420, a CO2 tank 450, three nutrient supply tanks 461, 462, and 463, and a wastewater reservoir 440. By way of example, the supply tank 461 contains potassium nitrate (KNO3), calcium nitrate (Ca(NO3)2), and ferric ethylenediaminetetraacetate (FeEDTA). The supply tank 462 contains magnesium sulfate (MgSO4), monopotassium phosphate (KH2PO4), zinc sulfate (ZnSO4), manganese sulfate (MnSO4), copper(II) sulfate (CuSO4), boric acid (H3BO3), and sodium molybdate (Na2MoO4). The supply tank 463 contains KNO3, Ca(NO3)2, and FeEDTA.

[0061] The amount of water in the purified water reservoir 420 is monitored by a water level sensor 426 to ensure there is sufficient purified water available. When the water level falls below a threshold, water is replenished into the purified water reservoir 420 from the water source. The water in the purified water reservoir 420 can be pumped into the water reservoir 430 via a water pump 422.

[0062] A CO2 sensor collects the CO2 level inside the farmland and a CO2 tank 450 can be controlled by a solenoid valve 452 to release a desired amount of CO2 and maintain the CO2 level. A nutrient solution reservoir volume sensor 434 collects data on how much nutrient solution remains in the water reservoir 430. An electrical conductivity (EC) sensor 431 and a pH sensor 432 monitor the EC and pH levels to control the solenoid valves of the nutrient supply tanks 461, 462, and 463, and the air pump 436. A desired amount of nutrient supply and oxygen can be added into the reservoir 430 as needed. A pH up tank 437 and a pH down tank 438 are provided and are in fluid communication with the reservoir 430 to adjust the pH level of the nutrient solution in the reservoir 430. For example, if the pH level is lower than a threshold value, an appropriate amount of solution from the pH up tank 437 can be injected into the reservoir 430 to raise the pH level. If the pH level is higher than a threshold, an appropriate amount of solution can be pumped from a pH down tank 438 into the reservoir 430 to lower the pH level. When the used nutrient solution is no longer suitable for reuse, it can be transferred to a wastewater reservoir 440 by a drain solenoid valve 442. In some embodiments, an oxidation-reduction potential (ORP) sensor and a tilt angle sensor are provided. The ORP sensor measures the ORP level of the nutrient solution in the reservoir 430. The tilt angle sensor can be placed in a suitable location in the field (such as in one of the modular storage cabinets) to measure the tilt angle of the hydroponic cultivation device.

[0063] Control of the devices, means, e.g. valves, pumps, can be performed by the main controller. Alternatively, data collected by multiple sensors is provided to the main controller and then sent to an AI system (e.g. AI-enabled cloud server, AI-enabled portable electronic device, etc.) for further processing. Instructions are generated based on the processing results and sent back to the main controller for controlling the associated devices, means, etc.

[0064] 5A to 5C show examples of plants to be used in the bucket system, tower system, and stack tray system, respectively.

[0065] According to one or more embodiments, the farmland is suitable for various cultivation methods and different types of plants. For example, the farmland may have 48 planting spots, distributed within the farmland in a 4 row by 14 roll layout. Each plant is given an identification number that is used for formalized data collection. The AI ​​system may identify a particular farmland and a particular plant by the identification number. The AI ​​system may collect data and remotely control the cultivation process in multiple farmlands.

[0066] FIG. 5A illustrates a bush-like plant or vertical plant 500a suitable for a bucket system. As an example, 48 drip nozzles are connected to the nutrient solution supply pipe, and the nutrient solution is directly supplied to the roots of the plants in each bucket. Each bucket is provided with one plant opening. As a result, each farm can grow 48 plants. The top of the bucket has a lid with one opening for attaching a net pot. The net pot is provided with a growing medium that the roots of the plants use as a base. The bucket collects the remaining nutrient solution and discharges it into a nutrient solution return pipe connected to a pump and installed under the floor. Alternatively, the remaining nutrient solution is collected directly on the sloping bottom floor and flows towards the desired collection location. The remaining nutrient solution may be transferred into a nutrient solution reservoir. Each bucket may be assigned a specific identification number for data collection.

[0067] FIG. 5B illustrates a foliage plant 500b suitable for the tower system. As an example, 48 drip nozzles are connected to the nutrient solution supply pipe, and the nutrient solution flows down inside the tower to reach the plant roots. Each tower contains 28 plant openings, for a total of 1,344 plant openings per field. Each opening is provided with a net pot with a growing medium that the plant roots use as a base. The top of the bucket has a lid with one opening that allows the tower to fit into the bucket. The bucket is used to collect the remaining nutrient solution, which is discharged into a nutrient solution return pipe connected to a pump and installed under the floor. The remaining nutrient solution may be transferred into a nutrient solution reservoir. Each tower plant opening is assigned a specific identification number for data collection.

[0068] FIG. 5C illustrates a macro green / sprout / shoot plant 500c suitable for the stack tray system. For the purpose of clearer description, a part of the stack tray system is also illustrated. As an example, 48 drip nozzles are connected to the nutrient solution supply pipe, and the nutrient solution flows downwards to fill the trays with the nutrient solution and reach the roots of the plants. Each stack tray includes 5 trays and covers an area of ​​4 buckets. There are a total of 14 stack trays per field. The trays can be used by the feed method or can be treated individually by net pot. Four drip nozzles supply the nutrient solution to the top tray, which continues to flow down to the lower trays until it reaches the bottom tray. The remaining nutrient solution is discharged into the nutrient solution return pipe connected to a pump and installed under the floor. The remaining nutrient solution may be transferred back into the nutrient solution reservoir. Each stack tray is assigned a specific identification number for data collection.

[0069] FIG. 6 illustrates a hydroponic system according to an example embodiment of the present invention.

[0070] As illustrated, the hydroponic system includes a hydroponic device 600 and a cloud server 620 in communication with the hydroponic device 600 via one or more networks 610. The cloud server 620 includes storage or memory 622 and an AI processing unit or AI processor 624.

[0071] The hydroponic cultivation apparatus 600 establishes a field for cultivating one or more plants and collects various parameters or data related to the state of cultivation via a number of sensors. The data is provided to a cloud server 620 via a network 610. The data may be stored in a storage 622 and processed by an AI processor 624 to obtain formulated data.

[0072] The cloud server 620 executes AI processing. The AI ​​processing may include operations related to the cultivation of plants in farmland. For example, the cloud server 620 may execute various processing operations and control signal generation by executing AI processing on sensor data related to the growth state or control of plants received from the hydroponic cultivation device 600. Furthermore, for example, the cloud server 620 may perform autonomous control by executing AI processing on data acquired through interaction with electronic devices (such as a main controller) included in the hydroponic cultivation device 600.

[0073] As an example, the cloud server 620 is a computing device capable of training a neural network. The AI ​​processor 624 can train the neural network using a program stored in the storage 622. The AI ​​processor 624 can train the neural network to recognize data related to hydroponics. The neural network for recognizing data related to hydroponics can be designed to simulate a human brain structure on the computing device and can include a plurality of network nodes having weights to simulate neurons of a human neural network. The plurality of network nodes can transmit and receive data according to each connection relationship to simulate synaptic activity of neurons, where neurons transmit and receive signals through synapses. The neural network can include a training mode, such as a deep learning model developed from the neural network model. In the deep learning model, for example, a plurality of network nodes can be arranged in different layers to transmit and receive data according to a convolutional connection relationship. Neural networks, for example, include various deep learning techniques, such as deep neural networks (DNNs), convolutional deep neural networks (CNNs), recurrent neural networks (RNNs), restricted Boltzmann machines (RBMs), deep confidence networks (DBNs), and deep Q-networks, and can be applied in areas such as computer vision, speech recognition, natural language processing, and audio / signal processing.

[0074] The storage 622 may store various programs and data for the operation of the cloud server 620. The storage 622 may be accessed by the AI ​​processor 624, and the AI ​​processor 624 may read / record / modify / delete / update data, etc. In addition, the storage 622 may store a neural network model (e.g., a learning model 6222) generated through a learning algorithm for data classification / recognition according to one or more embodiments of the present invention.

[0075] The AI ​​processor 624 may include a data learning unit 6242 implemented as a hardware module, a software module, or a combination thereof. The data learning unit 6242 learns a neural network for data classification / recognition. The data learning unit 6242 may learn a reference for what training data to use and how to classify and recognize data using the training data to determine data classification / recognition. The data learning unit 6242 may learn the deep learning model by acquiring training data to be used for training and applying the acquired training data to the deep learning model.

[0076] The data learning unit 6242 may include a learning data acquisition unit 6244 and a model learning unit 6246. The learning data acquisition unit 6244 may acquire learning data required for the neural network model to classify and recognize data. For example, the learning data acquisition unit 6244 may acquire plant cultivation data and / or sample data to be input to the neural network model as learning data. The model learning unit 6246 may use the acquired learning data to learn so that the neural network model has a criterion for how to classify a given data. The model learning unit 6246 may train the neural network model through supervised learning, unsupervised learning, reinforcement learning, or using a learning algorithm including backpropagation or steepest descent. After learning the neural network model, the model learning unit 6246 may store the learned neural network model in the storage 622.

[0077] The cloud server 620 has cloud computing capabilities. In some embodiments, the cloud server 620 performs operations on big data. This is preferred because there is generally a huge amount of data related to plant cultivation that is difficult to process by computers with normal computing capabilities.

[0078] FIG. 7 illustrates a hydroponic system according to another example embodiment of the present invention.

[0079] As illustrated, the hydroponic system includes hydroponic devices 700-1, 700-2, ..., 700-N (N is a natural number). A cloud server 720 communicates with each of these hydroponic devices via one or more networks 710. The cloud server 720 includes storage or memory 722 and an AI processing unit or AI processor 724.

[0080] Each of the hydroponic cultivation devices 700-1, 700-2..., 700-N may be a specific implementation of the hydroponic cultivation devices 100, 300, or 600, and the cloud server 720 may be a specific implementation of the cloud server 620. The cloud server 720 communicates with each individual hydroponic cultivation device to receive data and process the data based on the AI ​​algorithms.

[0081] As the number of hydroponic cultivation devices increases, the amount of data to be processed increases significantly. This poses a great challenge. By adopting big data and cloud computing technology, the cloud server 710 can have the capacity to handle the huge amount of data related to cultivation in multiple locations.

[0082] In some embodiments, the cloud server 720 can use one or more specific hydroponic devices for data training to develop machine learning algorithms. In some embodiments, the cloud server 720 has a well-developed learning mode to generate formulated data for plant cultivation. As a result, users (such as farmers) have the ability to control multiple farms located in different locations with less investment in personnel and equipment, since the formulated data can be used to enhance consistent quality control.

[0083] As illustrated, in some embodiments, the hydroponic system includes a client device 730. The client device 730 may be, without limitation, a tablet, a laptop, a smartphone, an iPad, or the like.

[0084] As illustrated, the client device 730 includes a memory 732, a processor 734, a display 736, and a hydroponic application 738. The client device 730 may receive data from one or more of the hydroponic devices 700-1, 700-2, ..., 700-N, store the data in a received data memory 732, process the received data with the processor 734 and the hydroponic application 738, and display the results on the display 736 for review.

[0085] In some embodiments, the client device 730 may retrieve the data or processing results from the cloud server 720 and display the retrieved results for review on the display 736. In some embodiments, the client device 730 may retrieve the data or processing results from the cloud server 720 and perform further processing of the received data.

[0086] In some embodiments, the client device 730 includes a user interface, such as a keyboard, a touch screen, etc., to receive user input. In some embodiments, the client device 730 may generate instructions, either on its own or in response to the user input, and send the generated instructions to one or more of the hydroponic cultivation apparatuses 700-1, 700-2, ..., 700-N to control cultivation conditions.

[0087] In some embodiments, the client device 730 is an artificial intelligence-enabled device that performs a local artificial intelligence learning mode. The client device obtains data from a cloud server and performs training of the local artificial intelligence learning mode based on the obtained data.

[0088] 8 is a flow chart illustrating a hydroponic cultivation method according to an example embodiment of the present invention. The method may be performed by a system, such as the hydroponic cultivation system described with reference to FIG. 7, to obtain improved plant production.

[0089] At block 802, one or more hydroponic cultivation devices are provided. The hydroponic cultivation devices may be, for example, the hydroponic cultivation devices described above with reference to one or more of the figures. The hydroponic cultivation devices are used to establish a field for producing one or more plants. The hydroponic cultivation devices are portable and can be moved to a suitable location.

[0090] At block 804, data relating to the conditions of growing one or more plants within the hydroponic device is collected. This may be done by a number of sensors, such as temperature sensors, humidity sensors, light sensors, etc.

[0091] In block 806, the collected data is sent to a cloud server, where the data is processed based on an AI algorithm. The cloud server is an AI-enabled cloud server with the capabilities of big data and cloud computing. The cloud server can generate formulated data and, based on the developed learning mode, provide instructions to multiple hydroponic farms to achieve consistent quality control while reducing human intervention.

[0092] 9 is a flow chart illustrating a hydroponic cultivation method according to another example embodiment of the present invention. The method can be performed by a cloud server, such as the cloud servers 620, 720 as described above.

[0093] Block 902 illustrates receiving formulated data related to the cultivation of one or more plants from a plurality of farms. Each of the plurality of farms is established by a respective hydroponic device. Each of the hydroponic devices has the same equipment (hardware and software). Thus, the collected data specific to the hydroponic device may be the same. Variations are primarily due to environmental conditions specific to the physical location, such as temperature, humidity, sunlight intensity, etc. In this manner, the received data is formulated data that is not influenced by the hydroponic device itself. This formulated data collection method increases consistent quality control, so that the user has the ability to control multiple farms located in different locations with less investment in personnel and equipment.

[0094] Block 904 depicts processing the formulated data based on an AI algorithm. The data may be processed by an AI processor with an AI algorithm that enables intelligent interaction with the farm for multi-location cultivation.

[0095] Block 906 illustrates providing instructions for controlling hardware within the farm. Based on the processing results, the AI ​​system generates instructions for controlling hardware within the farm. For example, if it is determined that the CO2 level within the farm is below a threshold, the AI ​​system generates instructions to enable a solenoid valve to automatically open to release CO2 from a CO2 supply tank, thereby increasing the CO2 level within the farm.

[0096] As used herein, the term "field" or "growing area" refers to an area established primarily by a hydroponic apparatus for cultivating one or more plants. For example, the interior space defined by the frame of the hydroponic apparatus may constitute a majority of the field. However, the field should not be understood to be limited to the interior space.

[0097] As used herein, the term "formulated data" refers to data collected from each of a plurality of fields, each field established by a respective hydroponic apparatus, all of which have the same equipment (i.e., hardware and software). That is, the data specific to the hydroponic apparatus itself may be the same. The variation is substantially due to environmental conditions specific to the physical location of the field.

[0098] Unless otherwise defined, technical and scientific terms used herein have the meanings commonly understood by those skilled in the art to which the exemplary embodiments belong. The embodiments are illustrated in non-limiting examples. Based on the embodiments disclosed above, various modifications conceivable by those skilled in the art are included in the scope of the exemplary embodiments.

Claims

1. A hydroponic cultivation device for plant production, comprising: a frame configured to define an interior space for growing one or more plants; a plurality of functional systems configured to facilitate cultivation of the one or more plants; a first plurality of sensors configured to monitor conditions associated with the cultivation of the one or more plants; one or more modular storage cabinets removably attached to the frame; the one or more modular storage cabinets including electronics pre-assembled within the one or more modular storage cabinets and configured to communicate with one or more of the first plurality of sensors and the plurality of functional systems; the one or more modular storage cabinets are pre-assembled and include an interface configured to connect and function with one or more of the plurality of functional systems; the electronics including a main controller configured to collect data from the first plurality of sensors and to provide instructions related to control of the plurality of functional systems; the first plurality of sensors are disposed outside the one or more modular storage cabinets within the interior space; the one or more modular storage cabinets include a second plurality of sensors configured to detect additional conditions related to the cultivation of the one or more plants.

2. the main controller is further configured to communicate with an external electronic system; 2. The hydroponic cultivation device of claim 1, wherein the main controller transmits the collected data to the external electronic system for processing, and provides instructions related to controlling the plurality of functional systems based on the processing results by the external electronic system.

3. The one or more modular storage cabinets include: an environmental system configured to control environmental conditions in the interior space; an irrigation system configured to provide fluid nutrients to the one or more plants; The hydroponic cultivation device according to claim 1 , comprising:

4. The environmental system comprises: ventilation means configured to regulate the temperature and humidity of the interior space; sensing means configured to collect temperature and humidity data and provide said temperature and humidity data to said main controller; The hydroponic cultivation device according to claim 3 , comprising:

5. The irrigation system comprises: a reverse osmosis filtration system for filtering water received from a water supply; a reverse osmosis reservoir for storing the water received from the reverse osmosis filtration system; a purified water reservoir for storing the water received from the reverse osmosis reservoir; The hydroponic cultivation device according to claim 3 , comprising:

6. the irrigation system includes a volume sensor and a temperature sensor disposed within the purified water reservoir; the temperature sensor is configured to monitor the temperature of the water in the purified water reservoir; The hydroponic cultivation device of claim 5 , wherein the quantity sensor is configured to monitor the quantity of water in the purified water reservoir.

7. 6. The hydroponic cultivation device of claim 5, wherein the irrigation system includes at least one of a rainwater collection reservoir configured to collect rainwater through one or more rainwater collection pipes attached to the frame of the hydroponic cultivation device, and a desalination reverse osmosis system that converts seawater into water for plant irrigation.

8. The irrigation system comprises: a nutrient supply tank for supplying nutrients; a nutrient solution reservoir connected to the nutrient supply tank for preparing a nutrient solution; a plurality of sensing means for monitoring parameters associated with said nutrient solution; temperature adjustment means for varying the temperature of the nutrient solution; agitation means for agitating the nutrient solution; one or more pH adjustment tanks in fluid communication with the nutrient solution reservoir for adjusting the pH level of the nutrient solution in the nutrient solution reservoir. The hydroponic cultivation device according to claim 3.

9. a nutrient solution delivery means configured to deliver the nutrient solution from the nutrient solution reservoir to the one or more plants; 9. The hydroponic cultivation apparatus of claim 8, further comprising a nutrient solution return means configured to return unused nutrient solution to the nutrient solution reservoir.

10. the plurality of functional systems includes a plurality of lighting devices; the first plurality of sensors includes a light sensor for collecting lighting information associated with the plurality of lighting devices; a first portion of the plurality of lighting devices, the first portion being attached to an inner wall of the hydroponic cultivation device; The hydroponic cultivation apparatus according to claim 1 , wherein a second portion of at least one of the plurality of lighting devices is attached to a ceiling of the hydroponic cultivation apparatus.

11. the plurality of functional systems includes one or more energy harvesting devices; the energy harvesting device comprises at least one of a photovoltaic device, a wind turbine, and a hydrogen fuel cell; 10. The hydroponic cultivation apparatus of claim 1, wherein when the energy collection device includes a photovoltaic device, the electronics of the one or more modular storage cabinets includes a balance of power system and sensing means to facilitate management of solar energy collected from the photovoltaic device.

12. The hydroponic cultivation apparatus of claim 1 , wherein the plurality of functional systems includes one or more video capture devices for collecting visual information and transmitting the visual information to the main controller.

13. 10. The hydroponic cultivation apparatus of claim 1, further comprising one or more of a bucket system, a tower system, and a stack tray system for cultivating the one or more plants.

14. 10. The hydroponic cultivation apparatus of claim 1, wherein the multiple functional systems include a pollination device that helps collect pollen from male plants and transfer the pollen to pollinate female plants.

15. 1. A hydroponic cultivation system for plant production, comprising: At least one hydroponic cultivation device according to claim 1; one or more networks; a cloud server that communicates with the at least one hydroponic cultivation device via the one or more networks; The cloud server a storage for storing data received from the at least one hydroponic cultivation device; an artificial intelligence processor for processing the data based on an artificial intelligence algorithm to obtain a processing result; The cloud server is configured to generate instructions based on the processing results and provide the instructions to the at least one hydroponic cultivation device to control cultivation of the one or more plants.

16. The storage stores a learning mode generated through a learning algorithm; 16. The hydroponic system of claim 15, wherein the artificial intelligence processor includes a training data acquisition unit that trains a neural network for classification and recognition of data related to the cultivation of the one or more plants in the at least one hydroponic device.

17. further comprising a client device in communication with the cloud server via the one or more networks; 16. The hydroponic system of claim 15, wherein the client device includes a hydroponic application that enables remote control of the at least one hydroponic apparatus.

18. the at least one hydroponic cultivation device includes two or more hydroponic cultivation devices; each of said hydroponic cultivation devices is associated with a unique identification; The hydroponic cultivation system according to claim 15, wherein the cloud server identifies each of the hydroponic cultivation devices by the unique identification information.

19. each of the two or more hydroponic cultivation devices includes the same hardware and software; 20. The hydroponic cultivation system of claim 18, wherein the cloud server receives formulated data that facilitates cultivation in the two or more hydroponic cultivation devices.

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