CN214374338U - Crop growth monitoring system based on unmanned aerial vehicle remote sensing - Google Patents
Crop growth monitoring system based on unmanned aerial vehicle remote sensing Download PDFInfo
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Abstract
The utility model discloses a crop growth monitoring system based on unmanned aerial vehicle remote sensing, including cloud platform, ground control station, unmanned aerial vehicle image acquisition module, sick and pest situation collection module, meteorological data collection module and soil data collection module. The ground control station comprises a solar power supply module, a touch display screen, an industrial personal computer and a wireless communication module. The unmanned aerial vehicle image acquisition module comprises hyperspectral, thermal infrared and laser radar sensors. The disease and pest situation acquisition module comprises a pathogen spore acquisition instrument and a pest acquisition instrument. The meteorological data acquisition module comprises a wind speed and direction, a humidity and temperature, a rain gauge and a sunlight illumination sensor. The soil data acquisition module comprises soil ammonia volatilization, carbon emission, organic matters, salinity and moisture content sensors. The crop growth monitoring system plays an important role in researching crop detection, breeding, growth mechanism, growth model and disease and pest forecast prediction for scientific researchers, and is an important premise for realizing farmland management decision.
Description
Technical Field
The utility model belongs to the technical field of the information, a farming feelings information acquisition equipment is related to, in particular to crop growth monitoring system based on unmanned aerial vehicle remote sensing.
Background
In recent years, along with the modern development of agriculture, an unmanned aerial vehicle becomes an important means for acquiring agricultural condition information, and for field crops, water saving, fertilizer saving, emission reduction and yield increase are ultimate targets of the people, and the method is realized through manual tests (different irrigation amounts, different fertilizer amounts, different agriculture techniques and the like) and breeding and other modes. Crop growth monitoring is a complex systematic project, data acquisition is often complex, and a large amount of manpower and material resources are needed, so that a field crop information acquisition technology with higher practical value restricts agricultural development. At present, a great number of scientific researchers are exploring the close relationship between crops and soil, weather and plant diseases and insect pests, and finding out suitable changeable environmental factors, wherein the aspect of obtaining soil and plant disease and insect pest information is relatively deficient. When field crop experiments are carried out, the real-time performance and the data volume cannot be ensured, the large-scale crop detection, breeding, growth mechanism research, growth model research and disease and insect forecast prediction cannot be realized, and the intellectualization of field crop management and decision making is seriously influenced.
Disclosure of Invention
In order to overcome above-mentioned prior art's shortcoming, the utility model aims to provide a crop growth monitoring system based on unmanned aerial vehicle remote sensing can acquire the regional multiple information of crop planting in all aspects to through wireless or wired network transmission to cloud platform, make things convenient for scientific research personnel to pass through cell-phone or server access.
In order to achieve the purpose, the invention adopts the technical scheme that:
a crop growth monitoring system based on unmanned aerial vehicle remote sensing includes:
the unmanned aerial vehicle image acquisition module is used for acquiring images and comprises a camera and an image acquisition card which are carried on the unmanned aerial vehicle;
the pest situation acquisition module is used for acquiring pest situations and comprises a pathogen spore acquisition instrument and a pest acquisition instrument which are arranged in the center of a crop planting area and an image acquisition card for the two acquisition instruments;
the weather data acquisition module is used for acquiring weather data and comprises a wind speed and direction sensor, a temperature and humidity sensor, a rainfall sensor and a light intensity sensor of a small weather station arranged in the center of a crop planting area;
the soil data acquisition module is used for acquiring soil data and comprises a soil ammonia volatilization sensor, a soil carbon emission sensor, a soil organic matter sensor, a soil salinity sensor and a soil moisture content sensor which are arranged in soil of a crop planting area;
the ground control station receives the data uploaded by the unmanned aerial vehicle image acquisition module, the pest and disease condition acquisition module, the meteorological data acquisition module and the soil data acquisition module through a 4G network;
and the cloud platform receives the data uploaded by the ground control station through the Internet.
The unmanned aerial vehicle image acquisition module further comprises a hyperspectral sensor, a thermal infrared sensor, a laser radar sensor, an RTK module, an embedded board, a power supply, an SD card and a 4G module which are carried on the unmanned aerial vehicle, wherein the hyperspectral sensor, the thermal infrared sensor and the laser radar sensor are connected with the image acquisition card and are connected with the embedded board with the power supply, and the RTK module, the SD card and the 4G module are connected with the embedded board.
The models of the hyperspectral sensor, the thermal infrared sensor and the laser radar sensor can be GaiaSky-mini, Zen SiXT 2 and Range-LR-T.
The disease and pest situation acquisition module further comprises an embedded plate, a solar power supply module, an alarm lamp, an SD card and a 4G module, wherein the embedded plate, the solar power supply module, the alarm lamp, the SD card and the 4G module are arranged outside the acquisition instrument, the pathogen spore acquisition instrument and the pest acquisition instrument are connected with the image acquisition card and are connected with the embedded plate with the solar power supply module, and the alarm lamp, the SD card and the 4G module are connected with the embedded plate.
The models of the germ spore collector and the pest collector can be TPSQ-BZ and TPSC.
The model of the wind speed and direction sensor, the temperature and humidity sensor, the rainfall sensor and the illuminance sensor can be FC-FSFX, CG-02-485, FC-YL and GD 51-YGZ.
Soil data acquisition module still includes AD conversion module, singlechip, solar energy power module, accumulator and 4G module, soil ammonia sensor, soil carbon emission sensor, soil organic matter sensor, soil salinity sensor and soil moisture content sensor link to each other with AD conversion module, and AD conversion module links to each other with the singlechip that has solar energy power module, and accumulator and 4G module link to each other with the singlechip.
The types of the soil ammonia volatilization sensor, the soil carbon emission sensor, the soil organic matter sensor, the soil salinity sensor and the soil moisture content sensor can be RR-7340, EosGP, HM-YJA and ZKYC-6A, ZKYC-1.
The ground control station comprises a solar power supply module, a touch display screen, an industrial personal computer and a wireless communication module, wherein the model of the industrial personal computer is ARK-1123C, and the wireless communication module is a 4G LTE wireless module Hua is ME909 s-821.
Ground control station, sick and pest condition collection module, meteorological data collection module and soil data collection module are solar energy and battery joint power supply, and unmanned aerial vehicle collection module is the battery power supply, ground control station, unmanned aerial vehicle image acquisition module and sick and pest condition collection module adopt the SD card to store data.
Compared with the prior art, the beneficial effects of the utility model are that:
1. the unmanned aerial vehicle image, the soil, the meteorology and the disease and pest situation data acquisition are integrated through the action of the ground control console, and a large amount of labor force and material resources of scientific research personnel are reduced.
2. The timeliness of the data obtained by the multiple influence factors at the same time is improved, and the authenticity and the accuracy of the experiment are guaranteed.
3. The acquisition of soil and disease data is increased, the relation between crops and soil can be explored, and the comprehensive water and fertilizer application effect can be checked. Provides disease and pest forecast prediction and improves breeding and field management decision level.
Drawings
FIG. 1 is the utility model discloses a crop growth monitoring system's schematic structure diagram based on unmanned aerial vehicle remote sensing
Fig. 2 is the utility model discloses unmanned aerial vehicle image acquisition module connection relation schematic diagram.
Fig. 3 is the schematic view of the connection relationship between the pest situation collection modules of the present invention.
Fig. 4 is the utility model discloses soil data acquisition module connection relation sketch map.
Detailed Description
The following describes embodiments of the present invention in detail with reference to the drawings and examples.
As shown in fig. 1, a crop growth monitoring system based on unmanned aerial vehicle remote sensing includes:
the unmanned aerial vehicle image acquisition module is used for acquiring images and comprises a camera and an image acquisition card, wherein the camera and the image acquisition card are carried on the unmanned aerial vehicle, as shown in figure 2. The utility model discloses in, unmanned aerial vehicle image acquisition module is still including carrying unmanned aerial vehicle's hyperspectral sensor, thermal infrared sensor, laser radar sensor, RTK module, embedded board, power, SD card and 4G module, and wherein hyperspectral sensor, thermal infrared sensor, laser radar sensor and image acquisition card link to each other to link to each other with the embedded board that has the power, RTK module, SD card and 4G module link to each other with the embedded board. The models of the hyperspectral sensor, the thermal infrared sensor and the laser radar sensor can be GaiaSky-mini, Zen SiXT 2 and Range-LR-T.
The pest situation collecting module is used for collecting pest situations, and comprises a pathogen spore collecting instrument and a pest collecting instrument which are arranged in the center of a crop planting area, and an image collecting card for the two collecting instruments, as shown in fig. 3. The utility model discloses in, sick worm condition collection module is still including setting up in the outside embedded board of collection appearance, solar energy power module, warning light, SD card and 4G module, and germ spore collection appearance and pest collection appearance link to each other with image acquisition card to link to each other with the embedded board that has solar energy power module, warning light, SD card and 4G module link to each other with embedded board. The models of the germ spore collector and the pest collector can be TPSQ-BZ and TPSC.
And the meteorological data acquisition module is used for acquiring meteorological data and comprises a wind speed and direction sensor, a temperature and humidity sensor, a rainfall sensor and a light intensity sensor which are arranged in a mini-type climate station at the center of a crop planting area. The utility model discloses in, the model of wind speed and direction sensor, temperature and humidity sensor, rainfall sensor and illuminance sensor can be FC-FSFX, CG-02-485, FC-YL and GD 51-YGZ.
Soil data acquisition module carries out soil data acquisition, as shown in fig. 4, it is including setting up in the inside soil ammonia volatilization sensor of crop planting region soil, soil carbon emission sensor, soil organic matter sensor, soil salinity sensor and soil moisture content sensor. The utility model discloses in, soil data acquisition module still includes AD conversion module, singlechip, solar energy power module, accumulator and 4G module, and soil ammonia sensor, soil carbon emission sensor, soil organic matter sensor, soil salinity sensor and soil moisture content sensor link to each other with AD conversion module, and AD conversion module links to each other with the singlechip that has solar energy power module, and accumulator and 4G module link to each other with the singlechip. The types of the soil ammonia volatilization sensor, the soil carbon emission sensor, the soil organic matter sensor, the soil salinity sensor and the soil moisture content sensor can be RR-7340, EosGP, HM-YJA and ZKYC-6A, ZKYC-1.
The ground control station receives the data uploaded by the unmanned aerial vehicle image acquisition module, the pest and disease condition acquisition module, the meteorological data acquisition module and the soil data acquisition module through the 4G network. The utility model discloses in, ground control station includes solar energy power module, touch-control display screen, industrial computer and wireless communication module, and the industrial computer model is ARK-1123C, and wireless communication module is the 4G LTE wireless module of china for ME909 s-821.
And the cloud platform receives the data uploaded by the ground control station through the Internet, stores the data and facilitates scientific research personnel to access the data through a mobile phone or a server.
Foretell ground control station, sick and wounded situation acquisition module, meteorological data acquisition module and soil data acquisition module are solar energy and battery joint power supply, and unmanned aerial vehicle acquisition module is the battery power supply, and ground control station, unmanned aerial vehicle image acquisition module and sick and wounded situation acquisition module adopt the SD card to store data.
The method for monitoring the crops by using the monitoring system comprises the following steps;
(1) and finishing the field arrangement and construction of the unmanned aerial vehicle image acquisition module, the pest and disease condition acquisition module, the meteorological data acquisition module and the soil data acquisition module.
(2) The wireless communication module of the ground control station is communicated with each module to complete the control and data transmission functions. And can view the image and parameter data of each part of the system in real time. The data are uploaded to the cloud platform through the Internet, and scientific research personnel can obtain the stored data through a mobile phone or a server.
(3) The method comprises the steps of electrifying and starting a ground control station, electrifying and starting the unmanned aerial vehicle to fly, shooting crops (wheat, corn, rape, cotton and the like) by hyperspectral, thermal infrared and laser radar sensors, acquiring real-time position information by an RTK module, transmitting a real-time picture to the ground control station through a 4G module, adjusting the real-time picture to the optimal shooting angle according to the real-time picture of a touch display, and finishing the unmanned aerial vehicle flight task planning. And transmitting the shot data of different types, different times, different places and different angles to a ground control station through a 4G communication module for later remote sensing image processing and analysis. And the historical data is saved in the SD card, so that the data loss caused by external factors in actual operation is avoided.
(4) Meanwhile, an operator starts the pest and disease condition acquisition module, the meteorological data acquisition module and the soil data acquisition module through a touch display of the ground control station. The pest situation collecting module judges the density of the disease spores or pests in the glass slide shot by the collector through the embedded plate. The soil data acquisition module and the meteorological data acquisition module are subjected to AD conversion, the single chip microcomputer is used for acquiring data, and the 4G module is used for transmitting and controlling the data.
(5) Wherein, sick worm condition collection module has alarming function, accomplishes alarming function through preliminary analysis through the picture in the image acquisition card: when the intensity is moderate, the warning lamp is triggered to complete the early warning function, the shot picture is further transmitted to the ground control station through the 4G module, and the pest and disease damage variety and the damage condition are judged by scientific research personnel.
(6) According to actual conditions, set up ground control station, sick and pest situation collection module, meteorological data collection module and soil data collection module into solar energy and battery joint power supply, unmanned aerial vehicle collection module is the battery power supply. Ground control station, unmanned aerial vehicle image acquisition module and sick worm condition acquisition module are stored for the SD card, make things convenient for scientific research personnel to obtain a large amount of images and parameter data under the not good condition of network.
In conclusion, the invention is based on unmanned aerial vehicle image information (multispectral, thermal infrared and laser radar), and utilizes accurate position information according to real-time environmental factors (plant diseases and insect pests, soil and weather), and all data are matched, arranged and analyzed, so as to directly or indirectly complete crop detection (characteristic identification of emergence rate, plant number, vegetation density, ears and the like), breeding (lodging resistance, cold resistance, drought resistance, insect pest resistance and the like), growth mechanism research (evapotranspiration, salinization, nutrient flow, optimized environmental parameters and the like), growth model research (plant height, nitrogen content, biomass, water content, chlorophyll) and pest forecast prediction (stripe rust, downy mildew, locust and the like), the method plays an important role in researching crop detection, breeding, growth mechanism, growth model and disease and insect forecast and prediction for researchers, and is an important premise for realizing farmland management decision.
Above, only be the concrete implementation of the preferred embodiment of the present invention, but the protection scope of the present invention is not limited thereto, and any person skilled in the art is in the technical scope of the present invention, according to the technical solution of the present invention and the design of the present invention, equivalent replacement or change should be covered within the protection scope of the present invention.
The parts of the present invention not described in detail are the known techniques of those skilled in the art.
Claims (10)
1. The utility model provides a crop growth monitoring system based on unmanned aerial vehicle remote sensing which characterized in that includes:
the unmanned aerial vehicle image acquisition module is used for acquiring images and comprises a camera and an image acquisition card which are carried on the unmanned aerial vehicle;
the pest situation acquisition module is used for acquiring pest situations and comprises a pathogen spore acquisition instrument and a pest acquisition instrument which are arranged in the center of a crop planting area and an image acquisition card for the two acquisition instruments;
the weather data acquisition module is used for acquiring weather data and comprises a wind speed and direction sensor, a temperature and humidity sensor, a rainfall sensor and a light intensity sensor of a small weather station arranged in the center of a crop planting area;
the soil data acquisition module is used for acquiring soil data and comprises a soil ammonia volatilization sensor, a soil carbon emission sensor, a soil organic matter sensor, a soil salinity sensor and a soil moisture content sensor which are arranged in soil of a crop planting area;
the ground control station receives the data uploaded by the unmanned aerial vehicle image acquisition module, the pest and disease condition acquisition module, the meteorological data acquisition module and the soil data acquisition module through a 4G network;
and the cloud platform receives the data uploaded by the ground control station through the Internet.
2. The crop growth monitoring system based on unmanned aerial vehicle remote sensing of claim 1, wherein the unmanned aerial vehicle image acquisition module further comprises a hyperspectral sensor, a thermal infrared sensor, a lidar sensor, an RTK module, an embedded board, a power supply, an SD card and a 4G module which are mounted on the unmanned aerial vehicle, wherein the hyperspectral sensor, the thermal infrared sensor and the lidar sensor are connected with the image acquisition card and are connected with the embedded board with the power supply, and the RTK module, the SD card and the 4G module are connected with the embedded board.
3. The unmanned remote sensing-based crop growth monitoring system of claim 2, wherein the hyperspectral, thermal infrared and lidar sensors are GaiaSky-mini, zenth XT2 and range-LR-T.
4. The crop growth monitoring system based on unmanned aerial vehicle remote sensing of claim 1, wherein the pest situation collection module further comprises an embedded board, a solar power supply module, an alarm lamp, an SD card and a 4G module, the embedded board, the solar power supply module, the alarm lamp, the SD card and the 4G module are arranged outside the collection instrument, the pathogen spore collection instrument and the pest collection instrument are connected with the image collection card and are connected with the embedded board with the solar power supply module, and the alarm lamp, the SD card and the 4G module are connected with the embedded board.
5. The crop growth monitoring system based on unmanned aerial vehicle remote sensing according to claim 1 or 4, wherein the models of the pathogen spore collector and the pest collector are TPSQ-BZ and TPSC.
6. The unmanned remote sensing-based crop growth monitoring system of claim 1, wherein the anemometry, temperature, humidity, rainfall and illuminance sensors are of the type FC-FSFX, CG-02-485, FC-YL and GD 51-YGZ.
7. The crop growth monitoring system based on unmanned aerial vehicle remote sensing of claim 1, characterized in that, soil data acquisition module still includes AD conversion module, singlechip, solar energy power module, accumulator and 4G module, soil ammonia sensor, soil carbon emission sensor, soil organic matter sensor, soil salinity sensor and soil moisture content sensor link to each other with AD conversion module, and AD conversion module links to each other with the singlechip that has solar energy power module, and accumulator and 4G module link to each other with the singlechip.
8. The crop growth monitoring system based on unmanned aerial vehicle remote sensing according to claim 1 or 7, wherein the soil ammonia volatilization sensor, the soil carbon emission sensor, the soil organic matter sensor, the soil salinity sensor and the soil moisture content sensor are of types RR-7340, EosGP, HM-YJA, ZKYC-6A, ZKYC-1.
9. The crop growth monitoring system based on unmanned aerial vehicle remote sensing of claim 1, wherein the ground control station comprises a solar power supply module, a touch display screen, an industrial personal computer and a wireless communication module, the industrial personal computer is ARK-1123C in model, and the wireless communication module is a 4G LTE wireless module Hua is ME909 s-821.
10. The crop growth monitoring system based on unmanned aerial vehicle remote sensing of claim 1, wherein the ground control station, the pest and disease condition acquisition module, the meteorological data acquisition module and the soil data acquisition module are all solar energy and storage battery combined power supply, the unmanned aerial vehicle acquisition module supplies power for the storage battery, and the ground control station, the unmanned aerial vehicle image acquisition module and the pest and disease condition acquisition module adopt SD card to store data.
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| CN117850457A (en) * | 2024-03-07 | 2024-04-09 | 湖南林科达农林技术服务有限公司 | Unmanned aerial vehicle woodland accurate operation flight control system based on big dipper technique |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117850457A (en) * | 2024-03-07 | 2024-04-09 | 湖南林科达农林技术服务有限公司 | Unmanned aerial vehicle woodland accurate operation flight control system based on big dipper technique |
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