Multifunctional data acquisition and processing device for intelligent agricultural management

Abstract

The invention relates to the technical field of agricultural management, in particular to a multifunctional data acquisition and processing device for intelligent agricultural management, which comprises a data comparison module used for comparing any environmental data of each secondary area by using a preset value and a preset difference value according to the preset value and the preset difference value, and outputting a comparison result; judging the environment condition and the plant growth condition of each secondary region; if the environmental data of the second-level area is different from a preset value and the difference exceeds a preset difference value, comparing the growth state data of the plants in the second-level area with the preset value, judging whether the growth state of the plants is different, if the difference exceeds the preset difference value, recording the environmental data as influence data, and if the difference exceeds the preset difference value, recording the environmental data as the influence data; generating regulation and control information, corresponding to the influence data, of the secondary region; the system is complete in function, crops can be treated more finely, and the growth quality of the crops is improved.

Description

Technical Field

[0001] The present invention relates to the field of agricultural management technology, and in particular to a multifunctional data collection and processing device for smart agricultural management. Background Art

[0002] As the amount of agricultural production data continues to increase, big data technology and artificial intelligence algorithms are increasingly used in existing data collection and processing devices. Big data technology can store, process and analyze massive amounts of data, extract valuable information and rules, and provide decision support for agricultural production. Artificial intelligence technology can simulate human intelligence and realize functions such as automatic decision-making and automatic control. In smart agriculture, big data and artificial intelligence technologies are used to deeply mine and analyze agricultural production data to discover potential problems and optimization space in the agricultural production process, and provide more accurate guidance and suggestions for agricultural production.

[0003] In the process of intensive agricultural management, crops in the management area are usually monitored and regulated as a whole, lacking more detailed observation and adjustment. Since there are certain differences in the growth conditions of plants in different regions and between different types of plants, the overall monitoring and regulation method is difficult to meet the needs of plants in different regions and between different types of plants for growth conditions such as environment and nutrients.

[0004] Therefore, the present invention provides a multifunctional data collection and processing device for smart agricultural management, which effectively divides the various areas in intensive agricultural management more finely through the design of the area division module, so as to manage plants in different states or different types more finely, thereby improving the management accuracy and effectiveness in the agricultural planting process. Summary of the invention

[0005] To solve the above problems, the present invention provides a multifunctional data collection and processing device for smart agricultural management. The various areas in the greenhouse are divided by the design of the area division module, and then the data comparison module is used to monitor the conditions of each area and generate targeted control plans to improve the growth of each plant.

[0006] In order to achieve the above-mentioned purpose, the technical solution of the present invention is as follows: a multifunctional data collection and processing device for smart agricultural management, comprising:

[0007] An image acquisition module is used to acquire soil state images and plant growth state images, and generate a primary area according to the soil state images and the plant growth state images; the image acquisition module includes an image collector, the image collector is electrically connected to a controller, and the controller is used to control the operation of the image collector;

[0008] The mobile module is used for moving and supporting the whole device. The mobile module includes a carriage. The image collector is installed on the upper side wall of the carriage. A remote control wheel is installed at the bottom of the carriage. The controller is used to control the operation of the remote control wheel.

[0009] The area division module is used to analyze the growth status data of the plant according to the plant growth status image, preliminarily divide the primary area into several secondary areas according to the current plant growth status data, and update the preliminarily divided secondary areas in real time;

[0010] The environmental data acquisition module is used to collect and monitor the environmental data in each secondary area, and predict the temperature and humidity changes in each secondary area in the future preset time period in combination with the soil state image and the plant growth state image, and provide the temperature and humidity adjustment strategy for each secondary area in the future preset time period; the environmental data acquisition module includes a plurality of light sensors 0, temperature sensors and humidity sensors installed on the side wall of the vehicle box; the environmental data includes temperature, humidity and light;

[0011] The data comparison module is used to compare any current environmental data of each secondary area in turn according to the preset values ​​and preset differences set by the user, and analyze and judge the current environmental conditions and plant growth conditions of each secondary area; the preset values ​​include growth status preset values ​​and environmental data preset values; the preset differences include growth status preset differences and environmental data preset differences;

[0012] If the difference between any environmental data of the secondary area and the corresponding environmental data preset value does not exceed the environmental data preset difference, the data of the secondary area is determined to be normal;

[0013] If the difference between any environmental data of the secondary area and the corresponding preset value of environmental data exceeds the preset difference of environmental data, the growth state data of each plant in the secondary area is compared with the preset value of growth state. If the difference of the growth state of the plant exceeds the preset difference of growth state, the compared environmental data is recorded as the impact data, and the control information of the secondary area is generated according to the impact data, and the control information includes the environmental data to be controlled and the amount of the environmental data to be controlled;

[0014] The data comparison module is used to transmit the secondary area information with the same current plant growth status and environmental data to the area division module during the comparison process; the area division module is used to merge the secondary areas with the same current plant growth status and environmental data, update the division of the secondary areas in real time, and synchronously regulate the merged secondary areas;

[0015] The control module is used to control the secondary area according to the control information; and receive the temperature and humidity adjustment suggestions transmitted by the environmental data acquisition module; the control module includes a temperature control component for controlling the temperature of the secondary area, a humidity control component for controlling the humidity of the secondary area, a fertility control component for controlling the fertility of the secondary area, and a light control component for controlling the light of the secondary area.

[0016] Furthermore, the soil status image includes a soil category image for determining the soil type and a soil dryness and wetness image for determining the soil dryness and wetness, and the plant growth status image includes a growth height image for determining the plant growth status and a pest image for determining the plant pest situation.

[0017] Furthermore, the area division module performs area division according to the growth status of the plants, and divides the plants whose growth status difference is within -% into the same secondary area.

[0018] Furthermore, the data comparison module includes a preset value setting unit, which is used to set a growth status preset value and a growth status preset difference according to the best plant growth status in the primary area captured by the image acquisition module, and to set an environmental data preset value and an environmental data preset difference according to the environmental data in the secondary area where the plant is located according to the best plant growth status in the primary area.

[0019] Furthermore, the data comparison module also includes a data comparison unit, which is used to compare each secondary area in the primary area using a preset growth state value and a preset growth state difference, and compare the plant growth states between each secondary area to obtain the optimal plant growth state.

[0020] Furthermore, the preset value setting unit updates the growth status preset value and the growth status preset difference in real time according to the optimal plant growth status obtained by the data comparison module, and correspondingly updates the environmental data preset value and the environmental data preset difference.

[0021] Furthermore, the temperature regulating component includes a temperature regulating pipe network, which is staggered around the plant, connected to an air pump, and has a plurality of through holes along its length, each of which is connected to a control valve.

[0022] Furthermore, the humidity regulating component includes a water tank, which is fixedly connected to the vehicle body. A sprinkler pipe is connected to the top of the water tank. A sprinkler pump is provided at one end of the sprinkler pipe close to the water tank, and an arc-shaped nozzle is connected to the other end of the sprinkler pipe away from the water tank.

[0023] Furthermore, the fertility regulating component includes a pesticide box, which is also fixedly connected to the vehicle body and located next to the water tank. A pesticide pipe is connected to the top of the pesticide box, and a pesticide pump is connected to the end of the pesticide pipe close to the pesticide box. The end of the pesticide pipe away from the pesticide box is also connected to an arc-shaped spray head.

[0024] Furthermore, the light adjustment component includes a plurality of fluorescent lamps, which are installed on the top of each secondary area.

[0025] The technical principles of the above scheme are as follows:

[0026] The controller controls the remote control wheel to enter the planting area for image acquisition; the controller uses the image collector to collect soil category images and soil dryness and wetness images at various locations in the planting area, and determines the type of soil based on the soil category images, and determines the soil dryness and wetness based on the humidity monitored by the humidity sensor and the soil dryness and wetness images collected by the image collector; the controller combines the soil type and soil dryness and wetness for analysis, and considers the interaction between crops in combination with the intercropping effect, and provides crop types suitable for sowing for reference by planting personnel.

[0027] During the growth of the plants, the controller controls the remote control wheel to enter the planting area for inspection every two hours. The controller uses the image collector to shoot and record the growth status images of the plants in the area. The controller sets the planting area as a primary area based on the soil status images and plant growth status images in the planting area.

[0028] The area division module analyzes the growth status data of the plants according to the growth status images of the plants at various positions in the primary area, and divides the plants with a height difference of less than 8-12% into the same secondary area.

[0029] The environmental data acquisition module collects the temperature, humidity and light in each secondary area, and generates a temperature, humidity and light change curve based on the historical data of temperature, humidity and light in each secondary area. Combined with the growth status of the plants, it calculates the changes in temperature and humidity in each secondary area in the future preset time period, and generates temperature and humidity adjustment suggestions for each area in the future preset time period. The control module receives the temperature and humidity adjustment suggestions transmitted by the environmental data acquisition module, and adjusts the temperature and humidity in the secondary area according to the adjustment suggestions within the preset time period.

[0030] The data comparison module selects different data to perform cyclic comparison on each secondary area.

[0031] For example, the data comparison module selects the temperature to compare a certain secondary area. During the detection process, the temperature sensor monitors that the ambient temperature of the secondary area is greater than the preset value and the temperature difference is greater than the preset difference. The plant status in the secondary area is analyzed. The data comparison module analyzes through the image collector that the average height of the plants in the secondary area is lower than the preset value of the growth status, and the difference exceeds the preset difference of the growth status. The temperature is recorded as the influencing data, and the adjustment information of the secondary area is generated and transmitted to the control module at the same time. The control module responds immediately, starts the air pump, and delivers hot air to the temperature control network. At the same time, the control valve corresponding to the secondary area is opened to discharge the hot air from the through hole to regulate the ambient temperature of the secondary area. When the temperature sensor monitors that the ambient temperature changes to the preset temperature value, the control module controls the control valve and the air pump to close.

[0032] If the data to be adjusted is humidity, the control module controls the water pump to start, and the water in the water tank is sprayed from the arc-shaped nozzle through the sprinkler pipe to increase the humidity in the designated secondary area.

[0033] If the data to be adjusted is light, the control module controls the fluorescent lamps in the designated secondary area to start up to supplement the light for the secondary area.

[0034] When the image collector recognizes the presence of insect pests in a secondary area, the control module controls the pesticide pump to start, and the pesticide in the pesticide box is sprayed on the area through the pesticide pipe to kill the insects.

[0035] The above scheme has the following beneficial effects:

[0036] 1. Through the design of the image acquisition module, the present invention can obtain images of soil status and plant growth status in real time, and then accurately identify and analyze soil conditions before planting, assisting planting personnel to consider the interaction between crops according to the soil characteristics of each area and the intercropping effect, so as to more reasonably select suitable crops for planting; at the same time, the image collector can observe the growth of plants in real time, providing a prerequisite for subsequent secondary regional division. Such a design will be more refined than the existing technology, and refined management will help to timely discover and solve potential problems and improve agricultural production efficiency.

[0037] 2. The regional division module automatically divides the secondary regions according to the plant growth status image, and classifies plants with similar growth status into the same region, so as to implement more personalized management strategies for plants in different regions. Compared with the overall management in the existing technology, the secondary regional division method can cultivate each plant more carefully, making the plant growth environment more targeted and reasonable, thereby improving the growth and development of each plant, and also helping to optimize resource allocation and reduce resource waste.

[0038] 3. The data comparison module compares and analyzes various environmental data through preset values ​​and preset differences, further refines the characteristics of the environmental data of each secondary area, analyzes the environmental data defects of each secondary area, and sends adjustment signals to the adjustment module in real time, quickly adjusting the environment in each secondary area in real time, thereby improving the growth environment of each plant and providing a good foundation for plant growth. At the same time, the data comparison module will also extract the best growth data and transmit it to the regional division module, so as to update the division of the secondary area in real time, so as to more carefully and accurately adjust the growth environment of each plant and improve the growth status of the plant. The data comparison module will also analyze the best growth environment data based on the best growth data, so as to better adjust the growth environment data of each area, so that the adjustment module can more accurately adjust the growth environment in each secondary area.

[0039] 4. The adjustment module can respond quickly to the received signals, adjust the environmental data in each secondary area, adjust the ambient temperature, humidity and light, and eliminate insects for plants.

[0040] Additional aspects and advantages of the present invention will be given in part in the following description and in part will be obvious from the following description, or will be learned through practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 This is an axonometric diagram of a multifunctional data acquisition and processing device for smart agricultural management in an embodiment of the present invention.

[0042] Figure 2 It is a schematic diagram of the primary area setting and the secondary area division in an embodiment of the present invention.

[0043] Figure 3 It is an axonometric diagram of an embodiment of an air pump and a temperature regulating pipe network in an embodiment of the present invention.

[0044] Figure 4 This is a flow chart of a multifunctional data collection and processing device for smart agricultural management in an embodiment of the present invention.

[0045] The figure marks in the drawings of the specification include: 1. car body; 2. sprinkler pipe; 3. pesticide pipe; 4. image collector; 5. remote control wheel; 6. primary area; 7. secondary area; 8. humidity sensor; 9. temperature sensor; 10. light sensor; 11. fluorescent lamp; 12. temperature control pipe network; 13. air pump; 14. control valve. DETAILED DESCRIPTION

[0046] The following is further described in detail through specific implementation methods:

[0047] Implementation example Figure 1 , Figure 2 , Figure 3 and Figure 4 As shown: The multifunctional data acquisition and processing device for smart agricultural management is mainly composed of an image acquisition module, a mobile module, an area division module, an environmental data acquisition module, a data comparison module and a control module.

[0048] The image acquisition module is used to acquire soil state images and plant growth state images, and generate a primary area 6 according to the soil state images and the plant growth state images; the image acquisition module includes an image collector 4, and the image collector 4 is electrically connected to a controller, and the controller is used to control the operation of the image collector 4. The soil state images include soil category images for determining soil types and soil dryness and wetness images for determining soil dryness and wetness, and the plant growth state images include growth height images for determining plant growth states and pest images for determining plant pest conditions.

[0049] Image processing algorithms are used to extract plant growth characteristics, such as the number of leaves, leaf area, and leaf color. The extracted plant characteristics are analyzed to evaluate the growth status of the plant. For example, indicators such as the number and color of leaves can be used to determine whether the plant is healthy, that is, to determine the growth status of the plant. Deep learning models, such as the YOLO series algorithm You Only Look Once, are used to identify and classify pests and diseases. The recognition and classification speed is fast and the accuracy is high, and pests and diseases can be detected in real time, that is, the pest situation of the plant can be determined.

[0050] The mobile module is used for the movement and support of the whole device, and the mobile module includes a car box 1, an image collector 4 is installed on the upper side wall of the car box 1, a remote control wheel 5 is installed at the bottom of the car box 1, and a controller is used to control the operation of the remote control wheel 5. The remote control wheel 5 is a driving wheel with controllable direction and speed in the prior art, which is controlled by the controller to realize the basic movement of the whole device or move according to the planned path.

[0051] The area division module is used to analyze the growth status data of the plant based on the plant growth status image, preliminarily divide the primary area 6 into several secondary areas 7 according to the current plant growth status data, and update the preliminarily divided secondary areas 7 in real time.

[0052] Specifically, the area division module performs area division according to the growth status of the plants, and divides the plants whose growth status differences are within 8-12% into the same secondary area 7.

[0053] The environmental data acquisition module is used to collect and monitor the environmental data in each secondary area 7, and combine the soil status image and the plant growth status image to predict the temperature and humidity changes in each secondary area 7 within the future preset time period, and provide the temperature and humidity adjustment strategy for each secondary area 7 within the future preset time period; the environmental parameters with a strong correlation with plant growth are mainly temperature, humidity and light. Therefore, the environmental data acquisition module of this embodiment is composed of a number of light sensors 10, temperature sensors 9 and humidity sensors 8 installed on the side wall of the vehicle body 1; the collected environmental data are temperature, humidity and light.

[0054] The data comparison module is used to compare any current environmental data of each secondary area 7 in turn according to the preset values ​​and preset differences set by the user, and analyze and judge the current environmental conditions and plant growth conditions of each secondary area 7; the preset values ​​include growth status preset values ​​and environmental data preset values; the preset differences include growth status preset differences and environmental data preset differences.

[0055] Specifically, the data comparison module includes a preset value setting unit, which is used to set a growth status preset value and a growth status preset difference according to the best plant growth status in the primary area 6 captured by the image acquisition module, and to set an environmental data preset value and an environmental data preset difference according to the environmental data in the secondary area 7 where the plant is located corresponding to the best plant growth status in the primary area 6.

[0056] The data comparison module also includes a data comparison unit, which is used to compare each secondary area 7 in the primary area 6 using the growth status preset value and the growth status preset difference, and compare the plant growth status between each secondary area 7 to obtain the best plant growth status.

[0057] Specifically, the preset value setting unit updates the growth state preset value and the growth state preset difference in real time according to the optimal plant growth state obtained by the data comparison module, and correspondingly updates the environmental data preset value and the environmental data preset difference.

[0058] The determination method of the data comparison module is as follows: if the difference between any environmental data of the secondary area 7 and the corresponding environmental data preset value does not exceed the environmental data preset difference value, then the data of the secondary area 7 is determined to be normal;

[0059] If the difference between any environmental data of the secondary area 7 and the corresponding environmental data preset value exceeds the environmental data preset difference, the growth status data of each plant in the secondary area 7 is compared with the growth status preset value. If the difference in the growth status of the plants exceeds the growth status preset difference, the compared environmental data is recorded as impact data, and the control information of the secondary area 7 is generated based on the impact data. The control information includes the environmental data to be controlled and the amount of environmental data to be controlled.

[0060] The data comparison module is also used to transmit the information of the secondary area 7 with the same current plant growth status and environmental data to the area division module during the comparison process; the area division module is used to merge the secondary areas 7 with the same current plant growth status and environmental data, update the division status of the secondary areas 7 in real time, and synchronously regulate the merged secondary areas 7.

[0061] The control module is used to control the secondary area 7 according to the control information; and receive the temperature and humidity adjustment suggestions transmitted by the environmental data acquisition module; the control module includes a temperature control component for controlling the temperature of the secondary area 7, a humidity control component for controlling the humidity of the secondary area 7, a fertility control component for controlling the fertility of the secondary area 7, and a light control component for controlling the light of the secondary area 7.

[0062] The temperature regulating assembly of this embodiment includes a temperature regulating pipe network 12, which is staggered around the plants. The temperature regulating pipe network 12 is connected to an air pump 13, and the air pump 13 is bolted and fixedly connected to one side of the greenhouse. The temperature regulating pipe network 12 has a plurality of through holes along its length, and the through holes are all connected to a control valve 14.

[0063] The humidity regulating assembly of this embodiment includes a water tank, which is bolted and fixedly connected to the vehicle box 1. The top of the water tank is connected to a sprinkler pipe 2. A sprinkler pump is provided at one end of the sprinkler pipe 2 close to the water tank, and an arc-shaped nozzle is connected to the other end of the sprinkler pipe 2 away from the water tank.

[0064] The fertility regulating component of this embodiment includes a pesticide box, which is also bolted and fixedly connected to the vehicle box 1 and is located next to the water tank. The top of the pesticide box is connected to a pesticide pipe 3, and the end of the pesticide pipe 3 close to the pesticide box is connected to a pesticide pump, and the end of the pesticide pipe 3 away from the pesticide box is also connected to an arc-shaped spray head.

[0065] The light adjustment assembly of this embodiment includes a plurality of fluorescent lamps 11 , which are all bolted and fixedly connected to the bottom of the greenhouse. The fluorescent lamps 11 are located at the top of the adjacent secondary area 7 .

[0066] The specific implementation process is as follows:

[0067] The controller controls the remote control wheel 5 to enter the planting area for image acquisition; the controller uses the image acquisition device 4 to obtain the soil category images and soil dryness and wetness images at various locations in the planting area, and determines the type of soil based on the soil category images, and determines the soil dryness and wetness based on the humidity monitored by the humidity sensor 8 and the soil dryness and wetness images acquired by the image acquisition device 4; the controller combines the soil type and soil dryness and wetness for analysis, and considers the interaction between crops in combination with the intercropping effect, and provides crop types suitable for sowing for reference by planting personnel.

[0068] During the growth of the plants, the controller controls the remote control wheel 5 to enter the planting area for inspection every two hours. The controller uses the image collector 4 to shoot and record the growth status images of the plants in the area. The controller sets the planting area as the first-level area 6 based on the soil status image and the plant growth status image in the planting area.

[0069] The area division module analyzes the growth status data of the plants according to the growth status images of the plants at various positions in the primary area 6 , and divides the plants with a height difference of less than 10% into the same secondary area 7 .

[0070] The environmental data acquisition module collects the temperature, humidity and light in each secondary area 7, and generates a temperature, humidity and light change curve based on the historical data of the temperature, humidity and light in each secondary area 7. Combined with the growth status of the plant, it calculates the temperature and humidity changes in each secondary area 7 in the future preset time period, and generates a temperature and humidity adjustment strategy for each area in the future preset time period. The control module receives the temperature and humidity adjustment suggestions transmitted by the environmental data acquisition module, and adjusts the temperature and humidity in the secondary area 7 according to the adjustment suggestions in the future preset time period; for example, the preset time period is set to "tomorrow 8:00-12:00", and the environmental data acquisition module will calculate the temperature and humidity changes in each secondary area 7 from 8:00 to 12:00 the next day, and generate a temperature and humidity adjustment strategy within this time and send it to the control module.

[0071] The data comparison module selects different data to perform cyclic comparison on each secondary area 7 .

[0072] For example, the data comparison module selects the temperature to compare a secondary area 7. Assuming that the historical optimal growth height of the plants planted in the secondary area 7 is 30 cm at this stage, the preset value setting unit sets the growth status preset value to 30 cm, and the growth status preset difference is ±3 cm. The growth temperature of the plants in the optimal growth state in the secondary area 7 is 20°C, and the preset value setting unit sets the environmental data preset temperature to 20°C, and the environmental data preset difference is ±2°C. At this time, the temperature sensor 9 monitors that the ambient temperature of the secondary area 7 is 15°C, and the data comparison module determines that the difference in the ambient temperature of the area is greater than the preset value, then analyzes the plant status in the secondary area 7, and the data comparison module The image collector 4 analyzes that the average height of the plants in the secondary area 7 is 26 cm, which is lower than the preset value of the growth state of 30 cm, and the difference is 4 cm. If it exceeds the preset difference of the growth state, the temperature will be recorded as the influencing data, and the adjustment information of the secondary area 7 "the temperature is increased by 5 degrees Celsius" will be generated and transmitted to the control module at the same time. The control module will respond immediately, start the air pump 13, and deliver hot air to the temperature control pipe network 12. At the same time, the control valve 14 corresponding to the secondary area 7 will be opened to discharge the hot air from the through hole, so as to regulate the ambient temperature of the secondary area 7. When the temperature sensor 9 detects that the ambient temperature changes to 20°C, the control module controls the control valve 14 and the air pump 13 to close.

[0073] If the data to be adjusted is humidity, the control module controls the water pump to start, and the water in the water tank is sprayed from the arc-shaped nozzle through the sprinkler pipe 2 to increase the humidity in the designated secondary area 7.

[0074] If the data to be adjusted is illumination, the control module controls the fluorescent lamps 11 in the designated secondary area 7 to start up, so as to provide illumination supplement to the secondary area 7 .

[0075] When the image collector 4 recognizes that there are insect pests in a certain secondary area 7, the control module controls the pesticide pump to start, and the pesticide in the pesticide box is sprayed on the area through the pesticide pipe 3 to carry out insecticide treatment.

[0076] The image collector 4 will record the secondary area 7 where the growth status data differs from the preset value of the growth status by more than 30%, and mark it as the area to be qualified. Every two hours, the controller controls the remote control wheel 5 to enter the primary area 6 for inspection. The image collector 4 will observe and record the environmental data and growth status data in the area to be qualified after adjustment. If the environmental data and the growth status data reach the preset value, the mark will be cancelled; if after 24 hours, the growth status data of the plants in the area to be qualified still differs from the preset value of the growth status by more than 30%, and the environmental data has been adjusted to the preset value, an abnormal signal of the area to be qualified will be sent to the planting personnel to remind the planting personnel to perform manual intervention.

[0077] At the same time, when the crops are about to mature, the data comparison module will combine the temperature and humidity changes in the next 1-3 days predicted by the environmental data acquisition module and the growth status data collected by the image collector 4, analyze and compare the yield of each secondary area 7 based on the historical yield data, and calculate the total yield of the primary area 6 for reference by the growers.

[0078] Through the design of the image acquisition module, the present invention can obtain images of soil status and plant growth status in real time, and then accurately identify and analyze soil conditions before planting, assisting planting personnel to consider the interaction between crops according to the soil characteristics of each area and the intercropping effect, so as to more reasonably select suitable crops for planting; at the same time, the image acquisition device 4 can observe the growth of plants in real time, providing a prerequisite for the subsequent division of the secondary area 7. Such a design will be more refined than the existing technology, and refined management will help to timely discover and solve potential problems and improve agricultural production efficiency.

[0079] The area division module automatically divides the secondary area 7 according to the plant growth status image, and classifies plants with similar growth status into the same area, so as to implement more personalized management strategies for plants in different areas. Compared with the overall management in the prior art, the division method of the secondary area 7 can cultivate each plant more carefully, making the growth environment of the plant more targeted and reasonable, thereby improving the growth and development of each plant, and also helping to optimize resource allocation and reduce resource waste.

[0080] The data comparison module compares and analyzes various environmental data through preset values ​​and preset differences, further refines the environmental data characteristics of each secondary area 7, analyzes the environmental data defects of each secondary area 7, and sends adjustment signals to the adjustment module in real time, quickly adjusting the environment in each secondary area 7 in real time, thereby improving the growth environment of each plant and providing a good foundation for the growth of the plant. At the same time, the data comparison module will also extract the best growth data and transmit it to the area division module, so as to update the division of the secondary area 7 in real time, so as to more carefully and accurately adjust the growth environment of each plant and improve the growth state of the plant. The data comparison module will also analyze the best growth environment data based on the best growth data, so as to better adjust the growth environment data of each area, so that the adjustment module can more accurately adjust the plant growth environment in each secondary area 7.

[0081] Obviously, the above embodiments are merely examples for the purpose of clear explanation, and are not intended to limit the implementation methods. For those skilled in the art, other different forms of changes or modifications can be made based on the above description. It is not necessary and impossible to list all the implementation methods here. The obvious changes or modifications derived therefrom are still within the scope of protection of the invention.

Claims

1. A multifunctional data collection and processing device for smart agricultural management, characterized in that: include: An image acquisition module is used to acquire soil state images and plant growth state images, and generate a primary area (6) according to the soil state images and the plant growth state images; the image acquisition module comprises an image acquisition device (4), the image acquisition device (4) is electrically connected to a controller, and the controller is used to control the operation of the image acquisition device (4); A mobile module, used for moving and supporting the entire device, the mobile module comprising a carriage (1), an image collector (4) mounted on an upper side wall of the carriage (1), a remote control wheel (5) mounted on the bottom of the carriage (1), and a controller for controlling the operation of the remote control wheel (5); A region division module is used to analyze the growth status data of the plant according to the plant growth status image, preliminarily divide the primary region (6) into a plurality of secondary regions (7) according to the current plant growth status data, and update the preliminarily divided secondary regions (7) in real time; The environmental data acquisition module is used to collect and monitor the environmental data in each secondary area (7), and predict the temperature and humidity changes in each secondary area (7) in the future preset time period in combination with the soil state image and the plant growth state image, and provide the temperature and humidity adjustment strategy for each secondary area (7) in the future preset time period; the environmental data acquisition module includes a plurality of light sensors (10), a temperature sensor (9) and a humidity sensor (8) installed on the side wall of the vehicle box (1); the environmental data includes temperature, humidity and light; The data comparison module is used to compare any one of the current environmental data of each secondary area (7) in turn according to the preset values ​​and preset differences set by the user, and analyze and judge the current environmental conditions and plant growth conditions of each secondary area (7); the preset values ​​include growth status preset values ​​and environmental data preset values; the preset differences include growth status preset differences and environmental data preset differences; If the difference between any one of the environmental data of the secondary area (7) and the corresponding preset value of the environmental data does not exceed the preset difference of the environmental data, then the data of the secondary area (7) is determined to be normal; If the difference between any one of the environmental data of the secondary area (7) and the corresponding preset value of the environmental data exceeds the preset difference value of the environmental data, the growth state data of each plant in the secondary area (7) is compared with the preset value of the growth state; if the difference in the growth state of the plant exceeds the preset difference value of the growth state, the compared environmental data is recorded as the impact data, and the control information of the secondary area (7) is generated according to the impact data, the control information including the environmental data to be controlled and the amount of the environmental data to be controlled; The data comparison module is used to transmit the information of the secondary area (7) having the same current plant growth status and environmental data to the area division module during the comparison process; The area division module is used to merge the secondary areas (7) with the same current plant growth status and environmental data, update the division status of the secondary areas (7) in real time, and synchronously regulate the merged secondary areas (7); A control module, used for controlling the secondary region (7) according to the control information; And receive temperature and humidity adjustment suggestions transmitted by the environmental data acquisition module; The control module comprises a temperature control component for controlling the temperature of the secondary area (7), a humidity control component for controlling the humidity of the secondary area (7), a fertility control component for controlling the fertility of the secondary area (7), and a light control component for controlling the light of the secondary area (7).

2. The multifunctional data collection and processing device for smart agricultural management according to claim 1 is characterized in that: The soil status images include soil category images for determining soil type and soil dryness and wetness images for determining soil dryness and wetness. The plant growth status images include growth height images for determining plant growth status and pest images for determining plant pest conditions.

3. The multifunctional data collection and processing device for smart agricultural management according to claim 1 is characterized in that: The area division module divides the area according to the growth status of the plants, and divides the plants whose growth status difference is within 8-12% into the same secondary area (7).

4. The multifunctional data collection and processing device for smart agricultural management according to claim 1 is characterized in that: The data comparison module comprises a preset value setting unit, which is used to set a growth state preset value and a growth state preset difference value according to the best plant growth state in the primary area (6) acquired by the image acquisition module, and to set an environmental data preset value and an environmental data preset difference value according to environmental data in a secondary area (7) where the plant is located corresponding to the best plant growth state in the primary area (6).

5. The multifunctional data collection and processing device for smart agricultural management according to claim 4 is characterized in that: The data comparison module also includes a data comparison unit, which is used to compare each secondary area (7) within the primary area (6) using a growth state preset value and a growth state preset difference value, and to compare the plant growth states between each secondary area (7) to obtain an optimal plant growth state.

6. The multifunctional data collection and processing device for smart agricultural management according to claim 5, characterized in that: The preset value setting unit updates the growth state preset value and the growth state preset difference in real time according to the optimal plant growth state obtained by the data comparison module, and correspondingly updates the environmental data preset value and the environmental data preset difference.

7. The multifunctional data collection and processing device for smart agricultural management according to claim 6, characterized in that: The temperature regulating component comprises a temperature regulating pipe network (12), which is staggeredly distributed around the plant, the temperature regulating pipe network (12) is connected to an air pump (13), and a plurality of through holes are opened on the temperature regulating pipe network (12) along its length direction, and each through hole is connected to a control valve (14).

8. The multifunctional data collection and processing device for smart agricultural management according to claim 7, characterized in that: The humidity regulating component comprises a water tank, which is fixedly connected to the vehicle box (1). The top of the water tank is connected to a watering pipe (2). The end of the watering pipe (2) close to the water tank is provided with a watering pump. The end of the watering pipe (2) away from the water tank is connected to an arc-shaped nozzle.

9. The multifunctional data collection and processing device for smart agricultural management according to claim 8, characterized in that: The fertility regulating component comprises a pesticide box, which is also fixedly connected to the vehicle box (1) and located next to the water tank. The top of the pesticide box is connected to a pesticide pipe (3), one end of the pesticide pipe (3) close to the pesticide box is connected to a pesticide pump, and the end of the pesticide pipe (3) away from the pesticide box is also connected to an arc-shaped spray head.

10. The multifunctional data collection and processing device for smart agricultural management according to claim 9, characterized in that: The light adjustment component comprises a plurality of fluorescent lamps (11), and the fluorescent lamps (11) are installed on the top of each secondary area (7).

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