Crop growth monitoring integrated system

Abstract

The invention belongs to the field of crop growth monitoring integrated devices, and particularly relates to a crop growth monitoring integrated system which is designed to acquire related information of a crop planting area in real time by using a soil hydrothermal salt sensor, a soil nitrogen element sensor, meteorological monitoring equipment, a ground infrared camera and an imaging spectrometer carried by an unmanned aerial vehicle. According to the technical scheme of the utility model, data information required by decisions such as watering, fertilization and pest control can be efficiently and comprehensively acquired in a large range, reasonable decisions such as watering, fertilization and pest control can be timely made, crops can be rescued, and the situation that the growth of the crops is seriously influenced can be avoided.

Description

Technical Field

[0001] The present application belongs to the field of integrated crop growth monitoring devices, and specifically relates to an integrated crop growth monitoring system. Background Art

[0002] In order to ensure the normal growth and yield of crops, it is necessary to water, fertilize and control pests in a timely manner according to the actual situation.

[0003] At present, most of the methods rely on manual inspections to collect relevant data such as soil, weather and crop growth conditions, make decisions on watering, fertilization, pest control, etc., and then provide assistance to crops in terms of watering, fertilization and pest control. This method is extremely dependent on manual experience, consumes a lot of manpower, and is prone to omissions. It is difficult to ensure that the required data can be collected in a timely and comprehensive manner over a large area, and reasonable decisions can be made, which is prone to situations that seriously affect crop growth.

[0004] This application is proposed in view of the above-mentioned technical defects.

[0005] It should be noted that the disclosure of the above background technology content is only used to assist in understanding the inventive concept and technical solution of the present invention, and it does not necessarily belong to the prior art of this patent application. In the absence of clear evidence that the above content has been disclosed on the filing date of this application, the above background technology should not be used to evaluate the novelty and creativity of the present application. Summary of the invention

[0006] The purpose of the present application is to provide an integrated crop growth monitoring system to overcome or alleviate at least one of the known technical deficiencies.

[0007] The technical solution of this application is:

[0008] An integrated crop growth monitoring system, including a comprehensive monitor, soil water, heat and salt sensors, soil nitrogen sensors, meteorological monitoring equipment, ground infrared cameras, imaging spectrometers carried by drones, automatic irrigation systems, and insect monitoring equipment;

[0009] There are multiple soil water, heat and salt sensors distributed in the crop planting area to monitor the moisture content, temperature and conductivity of the crop planting area in real time, and transmit them to the integrated monitor for storage and display;

[0010] There are multiple soil nitrogen sensors distributed in the crop planting area to monitor the nitrogen nutrient level in the crop planting area in real time and transmit it to the integrated monitor for storage and display;

[0011] Meteorological monitoring equipment is installed in the crop planting area to monitor the meteorological data of the crop planting area in real time and transmit it to the integrated monitor for storage and display;

[0012] There are multiple ground infrared cameras distributed in the crop planting area to collect real-time images of crop growth conditions in the crop planting area and transmit them to the integrated monitor for storage and display;

[0013] The imaging spectrometer carried by the drone is used to collect spectral images of crop growth conditions in the crop planting area in real time and transmit them to the integrated monitor for storage and display;

[0014] The automatic irrigation system is set up in the crop planting area and can automatically irrigate the crop planting area;

[0015] There are multiple insect monitoring devices distributed in the crop planting areas, which can automatically control insect pests in the crop planting areas.

[0016] Optionally, the above-mentioned crop growth monitoring integrated system also includes a smart cloud platform;

[0017] The integrated monitor transmits the moisture content, temperature, conductivity, nitrogen nutrient level, meteorological data, crop growth status images, and crop growth status spectral images of the crop planting area to the smart cloud platform;

[0018] The smart cloud platform uses a built-in decision-making model to make decisions on whether the crop planting area needs fertilizer based on the nitrogen nutrient level in the crop planting area, and transmits the decision to the integrated monitor for storage and display;

[0019] The smart cloud platform uses a built-in decision model to make a decision on whether the crop planting area needs watering based on the crop growth status image, and transmits it to the integrated monitor for storage and display. When it is decided that the planting area needs watering, the automatic irrigation system is controlled to automatically irrigate the crop planting area;

[0020] The smart cloud platform uses a built-in decision model to make a decision on whether the crop planting area needs pest control based on the spectral image of crop growth conditions, and transmits it to the integrated monitor for storage and display. When the decision is that pest control is needed, the insect monitoring equipment is controlled to automatically control the pests in the crop planting area.

[0021] The smart cloud platform uses a built-in prediction model to predict crop growth based on the moisture content, temperature, electrical conductivity, nitrogen nutrient level, meteorological data, crop growth images, and crop growth spectral images of the crop planting area, and transmits it to the integrated monitor for storage and display.

[0022] Optionally, in the above-mentioned crop growth monitoring integrated system, soil water, heat and salt sensors, soil nitrogen sensors, meteorological monitoring equipment, ground infrared cameras, imaging spectrometers carried by drones, automatic irrigation systems, insect monitoring equipment, smart cloud platforms and integrated monitors are connected via wireless signals for data transmission.

[0023] Optionally, in the above-mentioned integrated crop growth monitoring system, the integrated monitor is a high-performance computer with a display.

[0024] Optionally, in the above-mentioned crop growth monitoring integrated system, the meteorological monitoring equipment is a small automatic weather station.

[0025] Optionally, in the above-mentioned crop growth monitoring integrated system, the meteorological data includes evaporation, rainfall, wind speed, atmospheric pressure, wind direction, and photosynthetically active radiation.

[0026] This application has at least the following beneficial technical effects:

[0027] The invention provides an integrated crop growth monitoring system, which is designed with a smart cloud platform, and utilizes soil water, heat and salt sensors, soil nitrogen sensors, meteorological monitoring equipment, ground infrared cameras, and imaging spectrometers carried by drones to collect relevant information of crop planting areas in real time, make decisions on whether the crop planting areas need watering, fertilization, pest control, etc., and can predict crop growth, and can control the automatic irrigation system to automatically irrigate the crop planting areas according to the decisions, and control the insect monitoring equipment to automatically control the pests in the crop planting areas. The system has a high degree of intelligence, so that crops can be rescued in time to ensure the normal growth and yield of crops. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] Figure 1 Schematic diagram of an integrated device for monitoring crop growth provided in an embodiment of the present application.

[0029] In order to better illustrate this embodiment, some parts of the drawings may be omitted, enlarged or reduced, and do not represent the size of the actual product. In addition, the drawings are only used for illustrative purposes and cannot be understood as limitations on this patent. DETAILED DESCRIPTION

[0030] In order to make the technical solution and advantages of the present application clearer, the technical solution of the present application will be further described in detail in detail and in detail in conjunction with the accompanying drawings. It can be understood that the specific embodiments described here are only partial embodiments of the present application, which are only used to explain the present application, not to limit the present application. It should be noted that, for the convenience of description, only the parts related to the present application are shown in the accompanying drawings, and other related parts can refer to the general design. In the absence of conflict, the embodiments in the present application and the technical features in the embodiments can be combined with each other to obtain new embodiments.

[0031] In addition, unless otherwise defined, the technical terms or scientific terms used in the description of this application shall be the common meanings understood by the general technicians in the field to which this application belongs. The words "upper", "lower", "left", "right", "center", "vertical", "horizontal", "inside", "outside" and other words indicating orientation used in the description of this application are only used to indicate the relative direction or positional relationship, and do not imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation. When the absolute position of the described object changes, its relative positional relationship may also change accordingly, so it cannot be understood as a limitation on this application. The "first", "second", "third" and similar terms used in the description of this application are only used for descriptive purposes to distinguish different components, and cannot be understood as indicating or implying relative importance. The similar words "one", "one" or "the" used in the description of this application should not be understood as an absolute limitation on quantity, but should be understood as the existence of at least one. The similar words "including" or "comprising" used in the description of this application mean that the elements or objects appearing in front of the word include the elements or objects listed after the word and their equivalents, without excluding other elements or objects.

[0032] In addition, it should be noted that, unless otherwise clearly specified and limited, the words "installed", "connected", "connected" and similar terms used in the description of this application should be understood in a broad sense. For example, the connection can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, an indirect connection through an intermediate medium, or the internal connection of two components. Technical personnel in the field can understand their specific meanings in this application according to the specific circumstances.

[0033] A crop growth monitoring integrated system, such as Figure 1 As shown, it includes a comprehensive monitor, soil water, heat and salt sensors, soil nitrogen sensor, meteorological monitoring equipment, ground infrared camera, and imaging spectrometer carried by drone.

[0034] Soil water, heat and salt sensors, soil nitrogen sensors, meteorological monitoring equipment, ground infrared cameras, imaging spectrometers carried by drones and integrated monitors can be connected via wireless signals for data transmission.

[0035] The integrated monitor can specifically be a high-performance computer with a display, which can store data transmitted by soil water, heat and salt sensors, soil nitrogen sensors, meteorological monitoring equipment, ground infrared cameras, and imaging spectrometers carried by drones, and display them using the display.

[0036] There can be multiple soil water, heat and salt sensors distributed in the crop planting area to monitor the moisture content, temperature and conductivity of the crop planting area in real time, and transmit them to the integrated monitor for storage and display, so as to provide data support for soil management decisions in the crop planting area.

[0037] There can be multiple soil nitrogen sensors distributed in the crop planting area to monitor the nitrogen nutrient level in the crop planting area in real time and transmit the data to the integrated monitor for storage and display, so as to provide data support for fertilization decisions in the crop planting area.

[0038] Meteorological monitoring equipment can specifically be a small automatic weather station, which is installed in the crop planting area to monitor the meteorological data of the crop planting area in real time, which may include evaporation, rainfall, wind speed, atmospheric pressure, wind direction, photosynthetically active radiation, etc., and transmit it to the integrated monitor for storage and display, so as to provide comprehensive meteorological information for the management of the crop planting area.

[0039] There can be multiple ground infrared cameras distributed in the crop planting area to collect real-time images of crop growth conditions in the crop planting area and transmit them to the integrated monitor for storage and display, so as to provide data support for watering decisions in the crop planting area.

[0040] The imaging spectrometer carried by the drone is used to collect real-time spectral images of crop growth conditions in crop-growing areas and transmit them to the integrated monitor for storage and display, so as to provide data support for pest control decisions in crop-growing areas.

[0041] In the crop growth monitoring integrated device disclosed in the above-mentioned embodiment, soil water, heat and salt sensors, soil nitrogen sensors, meteorological monitoring equipment, ground infrared cameras, and imaging spectrometers carried by drones are designed to collect relevant information of crop planting areas in real time, and store and display them in a comprehensive monitor. It can efficiently and comprehensively obtain data information required for decision-making such as watering, fertilizing, and pest control over a large range, support timely making of reasonable decisions such as watering, fertilizing, and pest control, rescue crops, and avoid situations that seriously affect crop growth.

[0042] The above-mentioned crop growth monitoring integrated device can be further designed to include a smart cloud platform, an automatic irrigation system, and insect monitoring equipment.

[0043] The smart cloud platform, automatic irrigation system, insect monitoring equipment and integrated monitor can be connected via wireless signals for data transmission.

[0044] The automatic irrigation system is set up in the crop planting area and can automatically irrigate the crop planting area.

[0045] There can be multiple insect monitoring devices distributed in crop planting areas. They can use modern optical, electrical, numerical control and other technologies to achieve automatic far-infrared processing of pest traps and insect bodies. Without any supervision, they can automatically complete system operations such as insect trapping, insect killing, insect body dispersion, photography, transportation, collection, and drainage, and carry out automatic pest control in crop planting areas.

[0046] The integrated monitor transmits the received data to the smart cloud platform.

[0047] The smart cloud platform can use the built-in decision-making model to make decisions on whether the crop planting area needs to be fertilized based on the nitrogen nutrient level in the crop planting area, and transmit the decision to the integrated monitor for storage and display.

[0048] The smart cloud platform can use the built-in decision-making model to make decisions on whether the crop planting area needs watering based on the crop growth status images, and transmit the decision to the integrated monitor for storage and display. When it is decided that the planting area needs watering, the automatic irrigation system is controlled to automatically irrigate the crop planting area.

[0049] The smart cloud platform can use the built-in decision-making model to make a decision on whether pest control is needed in the crop planting area based on the spectral images of crop growth conditions, and transmit the decision to the integrated monitor for storage and display. When the decision is that pest control is needed, the insect monitoring equipment is controlled to automatically carry out pest control in the crop planting area.

[0050] The smart cloud platform can use built-in prediction models to predict crop growth based on moisture content, temperature, electrical conductivity, nitrogen nutrient levels, meteorological data, crop growth images, and crop growth spectral images of the crop planting area, and transmit the predictions to the integrated monitor for storage and display.

[0051] The built-in model of the smart cloud platform is trained with relevant data, and the model accuracy can be continuously improved as the sample data increases.

[0052] In the crop growth monitoring integrated device disclosed in the above embodiment, a smart cloud platform is designed to use soil water, heat and salt sensors, soil nitrogen sensors, meteorological monitoring equipment, ground infrared cameras, and imaging spectrometers carried by drones to collect relevant information about crop planting areas in real time, make decisions on whether the crop planting areas need watering, fertilization, pest control, etc., and can predict crop growth, and can control the automatic irrigation system to automatically irrigate the crop planting areas according to the decisions, and control the insect monitoring equipment to automatically control pests in the crop planting areas. It has a high degree of intelligence, so that crops can be rescued in time to ensure the normal growth and yield of crops.

[0053] So far, the technical solution of the present application has been described in conjunction with the preferred embodiments shown in the accompanying drawings. Those skilled in the art should understand that the scope of protection of the present application is obviously not limited to these specific embodiments. Without departing from the principles of the present application, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the scope of protection of the present application.

Claims

1. A crop growth monitoring integrated system, characterized in that: Including integrated monitors, soil water, heat and salt sensors, soil nitrogen sensors, meteorological monitoring equipment, ground infrared cameras, drone-mounted imaging spectrometers, automatic irrigation systems, and insect monitoring equipment; There are multiple soil water, heat and salt sensors distributed in the crop planting area to monitor the moisture content, temperature and conductivity of the crop planting area in real time, and transmit them to the integrated monitor for storage and display; There are multiple soil nitrogen sensors distributed in the crop planting area to monitor the nitrogen nutrient level in the crop planting area in real time and transmit it to the integrated monitor for storage and display; Meteorological monitoring equipment is installed in the crop planting area to monitor the meteorological data of the crop planting area in real time and transmit it to the integrated monitor for storage and display; There are multiple ground infrared cameras distributed in the crop planting area to collect real-time images of crop growth conditions in the crop planting area and transmit them to the integrated monitor for storage and display; The imaging spectrometer carried by the drone is used to collect spectral images of crop growth conditions in the crop planting area in real time and transmit them to the integrated monitor for storage and display; The automatic irrigation system is set up in the crop planting area and can automatically irrigate the crop planting area; There are multiple insect monitoring devices distributed in the crop planting areas, which can automatically control insect pests in the crop planting areas.

2. The crop growth monitoring integrated system according to claim 1, characterized in that: It also includes a smart cloud platform; The integrated monitor transmits the moisture content, temperature, conductivity, nitrogen nutrient level, meteorological data, crop growth status images, and crop growth status spectral images of the crop planting area to the smart cloud platform; The smart cloud platform uses a built-in decision-making model to make decisions on whether the crop planting area needs fertilizer based on the nitrogen nutrient level in the crop planting area, and transmits the decision to the integrated monitor for storage and display; The smart cloud platform uses a built-in decision model to make a decision on whether the crop planting area needs watering based on the crop growth status image, and transmits it to the integrated monitor for storage and display. When it is decided that the planting area needs watering, the automatic irrigation system is controlled to automatically irrigate the crop planting area; The smart cloud platform uses a built-in decision model to make a decision on whether the crop planting area needs pest control based on the spectral image of crop growth conditions, and transmits it to the integrated monitor for storage and display. When the decision is that pest control is needed, the insect monitoring equipment is controlled to automatically control the pests in the crop planting area. The smart cloud platform uses a built-in prediction model to predict crop growth based on the moisture content, temperature, electrical conductivity, nitrogen nutrient level, meteorological data, crop growth images, and crop growth spectral images of the crop planting area, and transmits it to the integrated monitor for storage and display.

3. The crop growth monitoring integrated system according to claim 1, characterized in that: Soil water, heat and salt sensors, soil nitrogen sensors, meteorological monitoring equipment, ground infrared cameras, drone-mounted imaging spectrometers, automatic irrigation systems, insect monitoring equipment, smart cloud platforms and integrated monitors are connected via wireless signals for data transmission.

4. The crop growth monitoring integrated system according to claim 1, characterized in that: An integrated monitor is a high-performance computer with a display.

5. The crop growth monitoring integrated system according to claim 1, characterized in that: Meteorological monitoring equipment is a small automatic weather station.

6. The crop growth monitoring integrated system according to claim 1, characterized in that: Meteorological data include evaporation, rainfall, wind speed, atmospheric pressure, wind direction, and photosynthetically active radiation.

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