CN218217558U - Crop growth condition recognition system - Google Patents
Crop growth condition recognition system Download PDFInfo
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- CN218217558U CN218217558U CN202222511055.1U CN202222511055U CN218217558U CN 218217558 U CN218217558 U CN 218217558U CN 202222511055 U CN202222511055 U CN 202222511055U CN 218217558 U CN218217558 U CN 218217558U
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Abstract
The utility model discloses a crop growth condition recognition system, which comprises a data acquisition unit, a data transmission unit, a data processing unit and a data monitoring unit; the data processing unit includes: the data acquisition unit acquires crop growth data in real time, uploads the crop growth data to the cloud server, and compares the crop growth data with information in the database; after the data transmission unit identifies the data information acquired by the data acquisition unit, the data transmission unit sends the data information to a cloud server for data processing; the data processing unit is used for screening, identifying, storing and updating the received data and transmitting the identified result to the data monitoring unit. The utility model discloses can effectively solve traditional farm and mainly carry out on-the-spot inspection, measurement, statistics and discernment through the manual work to the discernment of crops growth situation, lead to agricultural technical staff and agricultural specialist to face a large amount of repetitive work, not only waste time and energy, the problem of inefficiency moreover.
Description
Technical Field
The utility model relates to a crops growth situation recognition technology field, concretely relates to crops growth situation identification system.
Background
During the growth period of crops, the problems of inappropriate irrigation amount, inaccurate fertilizing amount, too late disease and pest control and the like can be faced, and the problems are important factors for restricting the development of the crop planting industry. At present, the traditional farm mainly carries out on-site inspection, measurement, statistics and identification on the growth condition of crops through manpower, so that agricultural technicians and agricultural experts face a large amount of repeated work, time and labor are wasted, and the efficiency is low. Meanwhile, the traditional crop growth condition identification is high in cost, extremely high in requirements on technicians and low in identification accuracy, and due to the fact that the field environment has the characteristic of complexity, observation personnel can miss detection and wrong detection due to the fact that plants are shielded from each other, diseased positions are hidden, diseased characteristics are not obvious, diseased plants and healthy plants are staggered with each other and the like.
The development of intelligent agriculture is changing day by day, the image recognition technology and the big data technology are continuously updated and iterated, the crop recognition technology applied to the off-line farm becomes the inevitable development trend in the future, and a new idea is brought to the accurate recognition of the crop growth condition. Meanwhile, the 5G technology and the Internet of things technology are widely applied in the agricultural industry, and various innovative technologies are derived, which provide possibility for accurate identification of the growth condition of crops.
SUMMERY OF THE UTILITY MODEL
Utility model purpose: the utility model provides a crops growth situation identification system. The system has the characteristics of accurate identification and rapid processing, and can solve the problems of time consumption, low efficiency and the like of the traditional manual judgment of the growth condition of crops.
The technical scheme is as follows: the utility model provides a crop growth condition recognition system, which comprises a data acquisition unit, a data transmission unit, a data processing unit and a data monitoring unit; the data processing unit includes: the data acquisition unit acquires crop growth data in real time, uploads the crop growth data to the cloud server, identifies the crop growth condition, compares the crop growth condition with the information of the database, and accurately determines the growth condition information of the target crop; after the data transmission unit identifies the data information acquired by the data acquisition unit, the data transmission unit sends the data information to the cloud server for data processing; the data processing unit is used for screening, identifying, storing and updating the received data and transmitting the identified result to the data monitoring unit; the data monitoring unit is used for monitoring crop diseases and insect pests, growth conditions and services.
Further, the method comprises the following steps:
the data acquisition unit, the data transmission unit, the data processing unit and the data monitoring unit are all connected through a 5G or wireless communication module.
Further, the method comprises the following steps:
the data acquisition unit includes host system to and orientation module, camera module, infrared detection module and the ultrasonic detection module that is connected with host system, host system sets up in robot carrying platform, orientation module adopts the accurate positioning robot carrying platform position of GPS, camera module monitoring plant leaf colour, plant height to give host system picture parameter real-time transfer, the infrared ray of pest transmission is surveyed to the infrared detection module to utilize thermal imaging technique to give host system thermal image transmission, operating signal among the host system is accepted to the ultrasonic detection module realizes accurate range finding, and combines orientation module's location result, judges the concrete position of plant.
Further, the method comprises the following steps: the data monitoring unit comprises a visual processor and a background system display, wherein the visual processor and the background system display are connected with the cloud server, and the visual processor displays a processed result through the background system display.
Further, the method comprises the following steps: the content displayed by the background display comprises a pest and disease damage monitoring result, a growth condition monitoring result and a service monitoring result.
Further, the method comprises the following steps: the crop growth data comprises the category of the crop, the growth height of the crop, the image of the blade, and the pixel coordinate and the longitude and latitude coordinate of the crop in the image.
Has the advantages that: (1) The utility model provides a crops growth situation identification system can effectively solve traditional farm and mainly carry out on-the-spot inspection, measurement, statistics and discern through the manual work to the discernment of crops growth situation, leads to agricultural technical staff and agricultural expert to face a large amount of repetitive work, not only wastes time and energy, the problem of inefficiency moreover. (2) The image recognition technology adopted by the utility model has fast processing speed and accurate recognition, and can realize high-efficiency and fast attack; the data acquisition unit is utilized to carry out cross-vision field multiple cooperation and area full-coverage data acquisition, the problems that the traditional crop growth condition identification cost is high, the requirement on technical personnel is high, the identification accuracy rate is low, and due to the fact that the field environment has the characteristic of complexity, the phenomena of mutual shielding among plants, hidden diseased positions, unobvious diseased characteristics, mutual staggering of diseased plants and healthy plants and the like can cause missed detection and wrong detection of observers are solved, the generation cost can be reduced, and the identification efficiency is improved. (3) The utility model provides high farm is to the discernment ability of crops growth state and the production efficiency on farm, and what can also maximize avoids artificial subjective factor to influence.
Drawings
Fig. 1 is a system structure diagram according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be described clearly and completely with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments in the present invention, all other embodiments obtained by a person skilled in the art without creative work belong to the protection scope of the present invention.
Fig. 1 is a schematic diagram of the system of the present invention, which includes a data acquisition unit, a data transmission unit, a data processing unit and a data monitoring unit connected in sequence;
the data acquisition unit is used for acquiring crop growth data in real time, uploading the crop growth data to the cloud server, identifying the crop growth condition, comparing the crop growth condition with information of the database, and accurately determining the growth condition information of the target crop;
the data transmission unit is used for identifying the data information acquired by the data acquisition unit and then sending the data information to the cloud server for data processing;
the data processing unit is used for screening, identifying, storing and updating the received data and transmitting the identified result to the data monitoring unit;
and the data monitoring unit is used for monitoring crop diseases and insect pests, growth conditions and services. The data acquisition unit, the data transmission unit, the data processing unit and the data monitoring unit are all connected through a 5G or wireless communication module.
The data acquisition unit comprises a main control module, and a positioning module, a storage module, a power supply module, a camera module, an infrared detection module, an ultrasonic detection module and a communication module which are connected with the main control module. The data processing unit comprises a cloud database and a cloud server connected with the cloud database. The data monitoring unit comprises a visual processor and a background system display, wherein the visual processor and the background system display are connected with the cloud server.
The data acquisition unit comprises a main control module, and a positioning module, a camera module, an infrared detection module and an ultrasonic detection module which are connected with the main control module, wherein the main control module is arranged in a robot carrying platform, the positioning module adopts a position where a GPS accurate positioning robot carrying platform is located, the camera module monitors the color of a plant leaf and the height of a plant, and transmits picture parameters to the main control module in real time, the infrared detection module detects the infrared rays emitted by pests and transmits thermal images to the main control module by utilizing a thermal imaging technology, and the ultrasonic detection module receives operating signals of an external control circuit in the main control module to realize accurate ranging and judges the specific position of the plant by combining the positioning result of the positioning module.
The utility model discloses a robot delivery platform of data acquisition unit adopts the agricultural robot that cross-country performance is good, have enough continuation of the journey, carries out professional repacking and arranges, promotes cross-country performance to shock attenuation, shock resistance, rain-proof snow, dustproof improvement, arrange according to equipment inside and outside the robot, for equipment transportation and the completion of urgent monitoring work provide good platform environment, can adopt MR2000 all terrain heavy load cross-country robot of Shenzhen history river robot science limited company for example.
The communication system adopts a GPS satellite data transmission system to be matched with a 5G network transmission system so as to adapt to different communication network environments, and is provided with one or a combination of an information transmission system, a video real-time transmission system and a voice real-time communication system, such as an interphone and the like according to requirements.
The utility model discloses to the urgent demand of trades such as crops growth discernment, based on all-terrain heavy load cross-country robot platform, through the integrated application of technologies such as data acquisition technique, crops recognition technology, communication, develop a crops growth situation identification system that flexible, integrated level is high, dependable performance, guarantee ability are strong, possess technical capability such as quick response, acquire fast, rapid processing, real-time transmission, information in time issue, improved crops growth discernment pertinence and ageing.
While the preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. It is therefore intended that the appended claims be interpreted as including the preferred embodiment and all such alterations and modifications as fall within the scope of the invention.
It is apparent that those skilled in the art can make various changes and modifications to the embodiments of the present invention without departing from the spirit and scope of the embodiments of the present invention. Thus, if such modifications and variations of the embodiments of the present invention fall within the scope of the claims and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (6)
1. A crop growth condition identification system is characterized by comprising a data acquisition unit, a data transmission unit, a data processing unit and a data monitoring unit; the data processing unit includes: the crop growth data are uploaded to the cloud server, the crop growth conditions are identified and compared with the information of the database, and the growth condition information of the target crop is accurately determined; after the data transmission unit identifies the data information acquired by the data acquisition unit, the data transmission unit sends the data information to a cloud server for data processing; the data processing unit is used for screening, identifying, storing and updating the received data and transmitting the identified result to the data monitoring unit; the data monitoring unit is used for monitoring crop diseases and insect pests, growth conditions and services.
2. The crop growth status recognition system of claim 1, wherein the data acquisition unit, the data transmission unit, the data processing unit and the data monitoring unit are all connected through a 5G or wireless communication module.
3. The crop growth status recognition system according to claim 1, wherein the data acquisition unit comprises a main control module, and a positioning module, a camera module, an infrared detection module and an ultrasonic detection module which are connected with the main control module, the main control module is arranged in the robot carrying platform, the positioning module adopts a GPS to precisely position the position of the robot carrying platform, the camera module monitors the color of the plant leaves and the height of the plant and transmits picture parameters to the main control module in real time, the infrared detection module detects infrared rays emitted by pests and transmits thermal images to the main control module by using a thermal imaging technology, and the ultrasonic detection module receives an operation signal from the main control module to realize accurate distance measurement and determines the specific position of the plant by combining the positioning result of the positioning module.
4. The crop growth condition recognition system according to claim 1, wherein the data monitoring unit comprises a visualization processor and a background system display connected to the cloud server, and the visualization processor displays the processed result through the background system display.
5. The crop growth status recognition system of claim 4, wherein the content displayed by the background system display comprises pest monitoring results, growth monitoring results, and service monitoring results.
6. The crop growth status recognition system according to claim 1, wherein the crop growth data includes a category of the crop, a crop growth height, an image of the blade, pixel coordinates and latitude and longitude coordinates of the crop in the image.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202222511055.1U CN218217558U (en) | 2022-09-22 | 2022-09-22 | Crop growth condition recognition system |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202222511055.1U CN218217558U (en) | 2022-09-22 | 2022-09-22 | Crop growth condition recognition system |
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| CN218217558U true CN218217558U (en) | 2023-01-03 |
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| CN202222511055.1U Active CN218217558U (en) | 2022-09-22 | 2022-09-22 | Crop growth condition recognition system |
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- 2022-09-22 CN CN202222511055.1U patent/CN218217558U/en active Active
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