CN115753631A - Disease and pest monitoring and alarming system based on remote sensing technology - Google Patents
Disease and pest monitoring and alarming system based on remote sensing technology Download PDFInfo
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Abstract
The invention discloses a disease and pest monitoring and alarming system based on a remote sensing technology. According to the invention, the remote sensing acquisition module and the Internet of things acquisition module are matched with each other to collect data, and the remote sensing acquisition module uses hyperspectral imaging remote sensing to have the characteristics of continuous spectrum, more wave bands, larger data volume and the like, so that a plurality of researchers can realize better crop pest and disease damage remote sensing monitoring effect. Meanwhile, index analysis, internet of things equipment distribution and working state, monitoring point distribution and the like of plant diseases and insect pests of crops can be mastered by a plurality of sensors arranged in the internet of things acquisition module, the occurrence conditions of the plant diseases and insect pests in the whole county and the surrounding areas are improved, accuracy of data monitored by the system is improved, the system can be used for shooting agricultural pests by matching with the camera module and the image processing module, accuracy of detection and prediction in use is improved, and accordingly the overall prediction accuracy of the system is improved.
Description
Technical Field
The invention belongs to the technical field of pest and disease monitoring, and particularly relates to a pest and disease monitoring and alarming system based on a remote sensing technology.
Background
Outbreaks of pests can affect agricultural production, causing severe reduction in crop yield and quality. In recent years, the occurrence and the spread of Chinese plant diseases and insect pests are in an increasing situation, the incidence rate of each province is increased, and the prevention and the control of the plant diseases and the insect pests are more difficult.
However, common pest monitoring mainly depends on field investigation and sampling by personnel such as plant protection departments, plant protection stations and the like, not only wastes time and labor, and has low accuracy, poor timeliness and small area coverage, but also is influenced by human factors, so that large-range full-coverage crop pest stress monitoring cannot be realized, the growth environment of crops cannot be remotely monitored, and the real-time performance during monitoring is influenced.
Disclosure of Invention
The invention aims to: in order to solve the problems, a pest and disease monitoring and alarming system based on a remote sensing technology is provided.
The technical scheme adopted by the invention is as follows: the utility model provides a plant diseases and insect pests monitoring alarm system based on remote sensing technology, includes start module, remote sensing collection module, thing networking collection module, wireless communication transmission module, data analysis module, alarm module, unmanned aerial vehicle collection module, image processing module, multispectral formation of image remote sensing module, carbon dioxide collection module, soil moisture collection module, atmospheric temperature and humidity collection module, illumination intensity collection module, start module's output is connected with remote sensing collection module and thing networking collection module's input, remote sensing collection module and thing networking collection module's output is connected with the input of wireless communication transmission module, the output of wireless communication transmission module is connected with the input of data analysis module, the output of data analysis module is connected with alarm module's input.
In a preferred embodiment, an unmanned aerial vehicle acquisition module, an image processing module and a multispectral imaging remote sensing module are arranged inside the remote sensing acquisition module, and the output ends of the unmanned aerial vehicle acquisition module, the image processing module and the multispectral imaging remote sensing module are connected with the input end of the remote sensing acquisition module;
the inside of thing networking collection module is provided with carbon dioxide collection module, soil moisture collection module, atmospheric temperature and humidity collection module and illumination intensity collection module, carbon dioxide collection module, soil moisture collection module, atmospheric temperature and humidity collection module and illumination intensity collection module's output is connected with thing networking collection module's input.
In a preferred embodiment, the unmanned aerial vehicle acquisition module plans a plurality of flight paths by taking different path points as starting points and combining a shortest path algorithm.
In a preferred embodiment, the image processing module performs a graying process first; and then denoising by adopting a smooth filtering method.
In a preferred embodiment, the multispectral imaging remote sensing module carries out ground object synchronous imaging by using more than 2 spectral channel sensors, and electromagnetic wave information of reflected radiation of a receiving and recording target object is divided into a plurality of narrow-band light beams.
In a preferred embodiment, the carbon dioxide acquisition module adopts a model DS-CO2-20 sensor, the DS-CO2-20 sensor can continuously acquire and automatically calculate the concentration of carbon dioxide in air in unit volume, and the DS-CO2-20 sensor is output in the form of a universal digital interface;
the soil humidity acquisition module adopts a DS18B20 temperature sensor chip as a T probe, and each pin of the chip is separated by a heat-shrinkable tube, so that short circuit is prevented, the chip is internally sealed with glue, is waterproof and moistureproof, is packaged by a high-quality stainless steel tube, and is waterproof, moistureproof and rustproof; meanwhile, the temperature sensor supports a multi-point networking function, and facilitates the expansion of the environment monitor.
In a preferred embodiment, the atmospheric temperature and humidity acquisition module adopts a DHT11 temperature and humidity sensor to acquire atmospheric temperature and humidity of a crop growth environment;
the illumination intensity acquisition module adopts an On9658F visible light illumination sensor to realize the acquisition of illumination intensity.
In a preferred embodiment, the wireless communication transmission module is a GPRS wireless communication module, the technology hardware is selected from a GPRS technology hardware, a SIM300S module is selected from a technology hardware, and the SIM300S is a dual-band GPRS module, which can transmit voice, short message, and data services in a GSM network through a frequency of GSM900/1800 MHz.
In a preferred embodiment, after the spectral features are extracted, the (5) vision identification system related to the crop pest stress remote sensing monitoring task is screened and combined, such as the normalized vegetation index, and meanwhile, related data are manually collected in a ground investigation mode.
In a preferred embodiment, the alarm module is internally provided with an acousto-optic alarm module and a video alarm module: when the internal analysis of the data analysis module obtains abnormal parameters, an audible and visual alarm carried by the audible and visual alarm module terminal immediately makes a sound and a warning lamp is turned on; the video alarm module sends an alarm signal to the monitoring display screen, so that the 24h graphic monitoring alarm is met, and meanwhile, the position of an alarm area and the environmental conditions around the alarm area can be seen on the monitoring display screen.
In summary, due to the adoption of the technical scheme, the invention has the beneficial effects that:
according to the invention, the remote sensing acquisition module and the Internet of things acquisition module are matched with each other to collect data, and the remote sensing acquisition module uses hyperspectral imaging remote sensing to have the characteristics of continuous spectrum, more wave bands, larger data volume and the like, so that a plurality of researchers can realize better crop pest and disease damage remote sensing monitoring effect. In addition, with the development of a data processing method, the deep learning-based method can better utilize hyperspectral images to carry out relevant research and obtain better effect compared with the traditional machine learning method, meanwhile, a plurality of sensors arranged in the internet of things acquisition module can analyze pest and disease occurrence indexes of crops, the distribution and working state of internet of things equipment, the distribution of monitoring points and the like, and the pest and disease occurrence conditions in the whole county and surrounding areas can be mastered, so that the accuracy of data monitored by the system is improved, meanwhile, the system can be used for shooting agricultural pests by matching with the camera module and the image processing module, the accuracy of detection and prediction during use is improved, and the overall prediction accuracy of the system is improved.
Drawings
FIG. 1 is a block diagram of the system of the present invention;
FIG. 2 is a block diagram of a remote sensing acquisition module system of the present invention;
fig. 3 is a block diagram of an internet of things acquisition module system of the present invention.
The mark in the figure is: the system comprises a starting module 1, a remote sensing acquisition module 2, an Internet of things acquisition module 3, a wireless communication transmission module 4, a data analysis module 5, an alarm module 6, an unmanned aerial vehicle acquisition module 7, an image processing module 8, a multispectral imaging remote sensing module 9, a carbon dioxide acquisition module 10, a soil humidity acquisition module 11, an atmospheric temperature and humidity acquisition module 12 and an illumination intensity acquisition module 13.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
With reference to figures 1-3 of the drawings,
the utility model provides a plant diseases and insect pests monitoring alarm system based on remote sensing technology, including start module 1, remote sensing collection module 2, thing networking collection module 3, wireless communication transmission module 4, data analysis module 5, alarm module 6, unmanned machine collection module 7, image processing module 8, multispectral formation of image remote sensing module 9, carbon dioxide collection module 10, soil moisture collection module 11, atmospheric temperature and humidity collection module 12, illumination intensity collection module 13, the output of start module 1 is connected with remote sensing collection module 2 and thing networking collection module 3's input, remote sensing collection module 2 and thing networking collection module 3's output is connected with wireless communication transmission module 4's input, wireless communication transmission module 4's output is connected with data analysis module 5's input, data analysis module 5's output is connected with alarm module 6's input.
An unmanned aerial vehicle acquisition module 7, an image processing module 8 and a multispectral imaging remote sensing module 9 are arranged in the remote sensing acquisition module 2, and the output ends of the unmanned aerial vehicle acquisition module 7, the image processing module 8 and the multispectral imaging remote sensing module 9 are connected with the input end of the remote sensing acquisition module 2;
the inside of thing networking collection module 3 is provided with carbon dioxide collection module 10, soil moisture collection module 11, atmospheric temperature and humidity collection module 12 and illumination intensity collection module 13, and the output of carbon dioxide collection module 10, soil moisture collection module 11, atmospheric temperature and humidity collection module 12 and illumination intensity collection module 13 is connected with thing networking collection module 3's input.
The unmanned aerial vehicle acquisition module 7 plans a plurality of flight paths by taking different path points as starting points and combining a shortest path algorithm. The method is characterized in that a path with the largest downwind proportion is selected by considering the perennial meteorological conditions of the farm, particularly the factors such as wind speed and wind direction, and the like, so that the wind energy is utilized to the maximum extent. And in the flight process, also adjusted unmanned aerial vehicle's speed to save unmanned aerial vehicle energy, prolong flight time.
The image processing module 8 performs graying processing first; and then denoising by adopting a smooth filtering method.
The multispectral imaging remote sensing module 9 uses more than 2 spectral channel sensors to carry out ground object synchronous imaging, receives and records electromagnetic wave information of reflected radiation of a target object, and divides the electromagnetic wave information into a plurality of light beams with narrow wave bands; when the crop pest stress is remotely monitored by using the unmanned aerial vehicle-mounted multispectral sensor, remote sensing images with 2-5 wave bands such as different time and space, canopy and the like are generally obtained to carry out related research.
The carbon dioxide acquisition module 10 adopts a model DS-CO2-20 sensor, the DS-CO2-20 sensor can continuously acquire and automatically calculate the concentration of carbon dioxide in air in unit volume, and the DS-CO2-20 sensor is output in a universal digital interface mode;
the soil humidity acquisition module 11 adopts a DS18B20 temperature sensor chip as a T probe, and each pin of the chip is separated by a heat-shrinkable tube to prevent short circuit, and the chip is internally sealed with glue, waterproof and moistureproof, packaged by a high-quality stainless steel tube, waterproof, moistureproof and rustproof; meanwhile, the temperature sensor supports a multi-point networking function, and facilitates the expansion of the environment monitor.
The atmospheric temperature and humidity acquisition module 12 adopts a DHT11 temperature and humidity sensor to realize the acquisition of atmospheric temperature and humidity of the crop growth environment;
the illumination intensity acquisition module 13 realizes the acquisition of illumination intensity by adopting an On9658F visible light illumination sensor.
The wireless communication transmission module 4 is set as a GPRS wireless communication module, the technical hardware is selected from a GPRS technical hardware, a SIM300S module is selected from the technical hardware, the SIM300S is a dual-frequency GPRS module, and the transmission of voice, short messages and data services can be carried out in a GSM network through the frequency of GSM900/1800MHz
The method comprises the following steps of (5) extracting spectral characteristics, screening and combining a visual identification system related to a crop pest stress remote sensing monitoring task, such as a normalized vegetation index, and manually acquiring related data in a ground investigation mode.
The inside of alarm module 6 is provided with audible and visual alarm module and video alarm module: when the data analysis module 5 analyzes and obtains abnormal parameters, an audible and visual alarm arranged on the audible and visual alarm module terminal immediately makes sound and a warning lamp is turned on; the video alarm module sends an alarm signal to the monitoring display screen, 24h graphic monitoring alarm is met, and meanwhile the position of an alarm area and the environment conditions around the alarm area can be seen on the monitoring display screen.
Data are collected by mutual matching of the remote sensing acquisition module 2 and the internet of things acquisition module 3, the remote sensing acquisition module 2 has the characteristics of continuous spectrum, more wave bands, larger data volume and the like by using hyperspectral imaging remote sensing, and therefore, a plurality of researchers can realize better crop pest and disease damage remote sensing monitoring effect. In addition, with the development of a data processing method, a deep learning-based method can better utilize hyperspectral images to carry out relevant research and obtain better effect compared with the traditional machine learning method, meanwhile, a plurality of sensors arranged in the internet of things acquisition module 3 can analyze the pest and disease occurrence indexes of crops, the distribution and working state of internet of things equipment, the distribution of monitoring points and the like, and the pest and disease occurrence conditions of counties and surrounding areas can be mastered, so that the accuracy of data monitored by the system is improved, meanwhile, by matching with the camera module and the image processing module, agricultural pests can be shot, the accuracy of detection and forecast during use is improved, and the overall forecast accuracy of the system is improved.
The above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. The utility model provides a plant diseases and insect pests monitoring alarm system based on remote sensing technology, including start-up module (1), remote sensing collection module (2), thing networking collection module (3), wireless communication transmission module (4), data analysis module (5), alarm module (6), unmanned aerial vehicle collection module (7), image processing module (8), multispectral formation of image remote sensing module (9), carbon dioxide collection module (10), soil moisture collection module (11), atmospheric temperature and humidity collection module (12), illumination intensity collection module (13), its characterized in that: the output of start module (1) is connected with the input of remote sensing collection module (2) and thing networking collection module (3), the output of remote sensing collection module (2) and thing networking collection module (3) is connected with the input of wireless communication transmission module (4), the output of wireless communication transmission module (4) is connected with the input of data analysis module (5), the output of data analysis module (5) is connected with the input of alarm module (6).
2. A pest monitoring alarm system based on remote sensing technology as claimed in claim 1, wherein: an unmanned aerial vehicle acquisition module (7), an image processing module (8) and a multispectral imaging remote sensing module (9) are arranged inside the remote sensing acquisition module (2), and the output ends of the unmanned aerial vehicle acquisition module (7), the image processing module (8) and the multispectral imaging remote sensing module (9) are connected with the input end of the remote sensing acquisition module (2);
the utility model discloses a solar greenhouse lighting system, including thing networking collection module (3), the inside of thing networking collection module (3) is provided with carbon dioxide collection module (10), soil moisture collection module (11), atmospheric temperature and humidity collection module (12) and illumination intensity collection module (13), the output of carbon dioxide collection module (10), soil moisture collection module (11), atmospheric temperature and humidity collection module (12) and illumination intensity collection module (13) is connected with the input of thing networking collection module (3).
3. A pest monitoring alarm system based on remote sensing technology as claimed in claim 1, characterized in that: the unmanned aerial vehicle acquisition module (7) plans a plurality of flight paths by taking different path points as starting points and combining a shortest path algorithm.
4. A pest monitoring alarm system based on remote sensing technology as claimed in claim 1, wherein: the image processing module (8) performs graying processing firstly; and then denoising by adopting a smooth filtering method.
5. A pest monitoring alarm system based on remote sensing technology as claimed in claim 1, wherein: the multispectral imaging remote sensing module (9) uses more than 2 spectral channel sensors to perform ground object synchronous imaging, receives and records electromagnetic wave information of reflected radiation of a target object, and divides the electromagnetic wave information into a plurality of light beams with narrow wave bands.
6. A pest monitoring alarm system based on remote sensing technology as claimed in claim 1, characterized in that: the carbon dioxide acquisition module (10) adopts a model DS-CO2-20 sensor, the DS-CO2-20 sensor can continuously acquire carbon dioxide and automatically calculate the concentration of the carbon dioxide in the air in unit volume, and the DS-CO2-20 sensor is output in a universal digital interface mode;
the soil humidity acquisition module (11) adopts a DS18B20 temperature sensor chip as a T probe, and each pin of the chip is separated by a heat-shrinkable tube to prevent short circuit, is internally sealed with glue, is waterproof and moistureproof, is packaged by a high-quality stainless steel tube, and is waterproof, moistureproof and rustproof; meanwhile, the temperature sensor supports a multi-point networking function, and facilitates the expansion of the environment monitor.
7. A pest monitoring alarm system based on remote sensing technology as claimed in claim 1, wherein: the atmospheric temperature and humidity acquisition module (12) adopts a DHT11 temperature and humidity sensor to realize the acquisition of atmospheric temperature and humidity of the crop growth environment;
the illumination intensity acquisition module (13) adopts an On9658F visible light illumination sensor to realize the acquisition of illumination intensity.
8. A pest monitoring alarm system based on remote sensing technology as claimed in claim 1, wherein: the wireless communication transmission module (4) is set as a GPRS wireless communication module, the technical hardware is selected from a GPRS technical hardware, a SIM300S module is selected from the technical hardware, the SIM300S is a dual-frequency GPRS module, and voice, short messages and data services can be transmitted in a GSM network through the frequency GSM900/1800 MHz.
9. A pest monitoring alarm system based on remote sensing technology as claimed in claim 1, wherein: and (5) after the spectral characteristics are extracted, screening and combining a visual identification system related to the crop pest stress remote sensing monitoring task, such as a normalized vegetation index, and meanwhile, manually acquiring related data by combining a ground survey mode.
10. A pest monitoring alarm system based on remote sensing technology as claimed in claim 1, characterized in that: the inside of alarm module (6) is provided with audible and visual alarm module and video alarm module: when the data analysis module (5) analyzes to obtain abnormal parameters, an audible and visual alarm arranged on the audible and visual alarm module terminal immediately sounds and a warning lamp is turned on; the video alarm module sends an alarm signal to the monitoring display screen, so that the 24h graphic monitoring alarm is met, and meanwhile, the position of an alarm area and the environmental conditions around the alarm area can be seen on the monitoring display screen.
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| CN116087118A (en) * | 2023-04-06 | 2023-05-09 | 黑龙江省农业科学院农业遥感与信息研究所 | Device and system for identifying corn northern leaf blight by hyperspectral remote sensing |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116087118A (en) * | 2023-04-06 | 2023-05-09 | 黑龙江省农业科学院农业遥感与信息研究所 | Device and system for identifying corn northern leaf blight by hyperspectral remote sensing |
| CN116087118B (en) * | 2023-04-06 | 2023-06-09 | 黑龙江省农业科学院农业遥感与信息研究所 | Device and system for identifying corn northern leaf blight by hyperspectral remote sensing |
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