CN111830029A - Pesticide preparation concentration field analysis system and method - Google Patents
Pesticide preparation concentration field analysis system and method Download PDFInfo
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Abstract
The invention relates to a field analysis system for pesticide preparation concentration, which comprises: the first recognition device is used for recognizing each worm object in the real-time snapshot image based on the shape characteristics of the worm and acquiring the imaging depth of field of each worm object; the second identification equipment is used for acquiring the area of an imaging area of each worm object; a size discrimination device for calculating a physical estimate volume of each worm object based on the imaging depth of field of the worm object and the area of the imaging region thereof; a data analysis device for calculating a pesticide formulation concentration based on a maximum value in each entity estimated volume for each insect subject. The invention also relates to a field analysis method for the pesticide preparation concentration. The pesticide preparation concentration field analysis system and method provided by the invention are compact in design and simple and convenient to operate. The preparation concentration of the pesticide for performing the insecticidal treatment on the lawn is determined according to the size of the on-site insects, so that the insecticidal effect on the lawn is improved while the pesticide pollution is reduced as much as possible.
Description
Technical Field
The invention relates to the field of pesticide preparation, in particular to a pesticide preparation concentration field analysis system and method.
Background
The pesticide is chemical for preventing and controlling diseases and pests and regulating plant growth. It is widely used in agriculture, forestry and animal husbandry production, environment and household sanitation, pest and disease control, and industrial product mildew and moth prevention.
The pesticide has various varieties, and can be mainly divided into insecticide, acaricide, rodenticide, nematicide, molluscicide, bactericide, herbicide, plant growth regulator and the like according to the application; according to the raw material source, the pesticide can be divided into mineral source pesticides (inorganic pesticides), biological source pesticides (natural organic matters, microorganisms, antibiotics and the like) and chemical synthetic pesticides; according to chemical structure, mainly comprises organic chlorine, organic phosphorus, organic nitrogen, organic sulfur, carbamate, pyrethroid, amide compounds, urea compounds, ether compounds, phenolic compounds, phenoxy carboxylic acids, amidines, triazoles, heterocycles, benzoic acids, organic metal compounds and the like, which are all organic synthetic pesticides; it can be divided into powder, wettable powder, emulsion, emulsifiable concentrate, emulsifiable paste, cataplasm, colloidal agent, fumigant, aerosol, granule, microgranule, oil agent, etc. according to the preparation formulation.
Disclosure of Invention
In order to solve the technical problems in the related field, the invention provides a pesticide preparation concentration field analysis system and method, which can enable the pesticide concentration prepared on the field to be enough to kill the largest-volume worm bodies in the lawn, thereby avoiding the complicated operation of manual killing.
Therefore, the invention needs to have the following two important points:
(1) calculating the pesticide preparation concentration required for realizing the lawn disinsection based on the largest-volume insect body in the lawn, wherein the pesticide preparation concentration is enough to kill the largest-volume insect body in the lawn, so that the missed killing of the on-site insect body is avoided;
(2) and taking the imaging focal length of the visible light imaging device or the infrared imaging device as a reference focal length, and calculating the entity estimated volume of each polypide object based on the reference focal length, the imaging depth of field of each polypide object and the area of the imaging area of the polypide object.
According to an aspect of the present invention, there is provided a pesticide formulation concentration on-site analysis system, the system comprising:
the day and night snapshot mechanism is arranged at the central position of the lawn and is used for executing image snapshot processing on the environment where the lawn is located so as to obtain a corresponding real-time snapshot image;
the day and night snapshot mechanism comprises timing equipment, visible light imaging equipment and infrared imaging equipment, wherein the timing equipment is used for detecting whether the current moment belongs to a night time period or a day time period, the infrared imaging equipment is connected with the timing equipment and used for being started in the night time period to output a real-time snapshot image, and the visible light imaging equipment is connected with the timing equipment and used for being started in the day time period to output the real-time snapshot image;
the first identification device is connected with the day and night snapshot mechanism and used for identifying each insect body object in the real-time snapshot image based on the shape characteristics of the insect body and acquiring the imaging depth of field of each insect body object;
the second identification equipment is connected with the first identification combination and is used for acquiring the area of an imaging area of each worm object;
the size identification device is respectively connected with the first identification device and the second identification device and used for calculating the entity estimation volume of each worm object based on the imaging depth of field of each worm object and the area of the imaging area of the worm object;
the data analysis equipment is connected with the size identification equipment and used for calculating pesticide preparation concentration by taking the maximum value in each entity estimation volume of each insect object in the real-time snapshot image as a reference value;
the maximum value in the estimated volume of each entity of each insect object in the real-time snapshot image is larger, and the pesticide preparation concentration obtained through calculation is higher;
wherein calculating the entity estimation volume of each worm object based on the imaging depth of field of the worm object and the area of the imaging region thereof comprises: the deeper the imaging depth of field of each polypide object is, the larger the entity estimated volume of the polypide object obtained by calculation is;
wherein calculating the entity estimation volume of each worm object based on the imaging depth of field of the worm object and the area of the imaging region thereof comprises: the larger the imaging area of each polypide object is, the larger the entity estimated volume of the polypide object is obtained through calculation;
wherein calculating the entity estimation volume of each worm object based on the imaging depth of field of the worm object and the area of the imaging region thereof further comprises: and taking the imaging focal length of the visible light imaging device or the infrared imaging device as a reference focal length, and calculating the entity estimated volume of each polypide object based on the reference focal length, the imaging depth of field of each polypide object and the area of the imaging area of the polypide object.
According to another aspect of the present invention, there is provided a method for analyzing a pesticide preparation concentration on site, the method comprising:
the day and night snapshot mechanism is arranged in the central position of the lawn and used for executing image snapshot processing on the environment where the lawn is located so as to obtain a corresponding real-time snapshot image;
the day and night snapshot mechanism comprises timing equipment, visible light imaging equipment and infrared imaging equipment, wherein the timing equipment is used for detecting whether the current moment belongs to a night time period or a day time period, the infrared imaging equipment is connected with the timing equipment and used for being started in the night time period to output a real-time snapshot image, and the visible light imaging equipment is connected with the timing equipment and used for being started in the day time period to output the real-time snapshot image;
using first identification equipment, connecting with the day and night snapshot mechanism, and identifying each insect body object in the real-time snapshot image based on the shape characteristics of the insect body and acquiring the imaging depth of field of each insect body object;
using a second recognition device, connected with the first recognition device in a combining way, and used for acquiring the area of the imaging area of each worm object;
using a size discrimination device respectively connected with the first identification device and the second identification device for calculating an entity estimation volume of each worm object based on the imaging depth of field of the worm object and the area of the imaging area of the worm object;
using data analysis equipment connected with the size identification equipment and used for calculating pesticide preparation concentration by taking the maximum value in each entity estimation volume of each insect object in the real-time snapshot image as a reference value;
the maximum value in the estimated volume of each entity of each insect object in the real-time snapshot image is larger, and the pesticide preparation concentration obtained through calculation is higher;
wherein calculating the entity estimation volume of each worm object based on the imaging depth of field of the worm object and the area of the imaging region thereof comprises: the deeper the imaging depth of field of each polypide object is, the larger the entity estimated volume of the polypide object obtained by calculation is;
wherein calculating the entity estimation volume of each worm object based on the imaging depth of field of the worm object and the area of the imaging region thereof comprises: the larger the imaging area of each polypide object is, the larger the entity estimated volume of the polypide object is obtained through calculation;
wherein calculating the entity estimation volume of each worm object based on the imaging depth of field of the worm object and the area of the imaging region thereof further comprises: and taking the imaging focal length of the visible light imaging device or the infrared imaging device as a reference focal length, and calculating the entity estimated volume of each polypide object based on the reference focal length, the imaging depth of field of each polypide object and the area of the imaging area of the polypide object.
The pesticide preparation concentration field analysis system and method provided by the invention are compact in design and simple and convenient to operate. The preparation concentration of the pesticide for performing the insecticidal treatment on the lawn can be determined according to the size of the on-site insects, so that the insecticidal effect on the lawn is improved while the pesticide pollution is reduced as much as possible.
Detailed Description
Embodiments of the system and method for analyzing pesticide preparation concentration on site according to the present invention will be described in detail below.
The greening lawn is an artificial lawn which is densely planted by perennial short herbaceous plants and is pruned. In the 18 th century, large-area lawns appeared in natural landscape gardens of the uk. Lawns also appear in modern gardens of China, and the main varieties are bluegrass, tall fescue, evergreen all the year round, cold season lawns, mixed-seeding lawns and the like.
Modern lawns are lawns which are artificially planted or maintained and managed to achieve the effects of greening and beautifying. It is one of the signs of civilization degree of a country and a city. It refers to the ground cover which is covered by grass of Gramineae and other delicate plants and is filled with the root and stolons of the grass of Gramineae and other delicate plants on the surface layer of the soil. Is suitable for beautifying the environment, garden landscape, purifying air, keeping water and soil, and providing outdoor activities and sports places.
Lawns are typically placed in front of houses, squares, open spaces and around buildings for viewing, recreation or as sports grounds. The lawn is divided into: rest lawns, ornamental lawns, sports field lawns, traffic safety lawns, and soil conservation and slope protection lawns. The herbaceous plants used for lawns in cities and gardens mainly comprise zoysia, buffalo grass, bermuda grass, carpet grass, blumea, eremochloa ophiuroides, ryegrass, bluegrass, glume grass and the like.
At present, lawns are important places for people to free for entertainment, however, if the size of the insect bodies in the lawns is large and the number of the insect bodies is large, the emotion of people can be affected, and even the health of people can be harmed, however, when pesticide disinsection operation is performed on the lawns without people, if the pesticide concentration is too high, the lawn is polluted greatly, and if the pesticide concentration is too low, the expected disinsection effect cannot be achieved.
In order to overcome the defects, the invention builds a pesticide preparation concentration field analysis system and method, and can effectively solve the corresponding technical problems.
The pesticide preparation concentration field analysis system shown according to the embodiment of the invention comprises:
the day and night snapshot mechanism is arranged at the central position of the lawn and is used for executing image snapshot processing on the environment where the lawn is located so as to obtain a corresponding real-time snapshot image;
the day and night snapshot mechanism comprises timing equipment, visible light imaging equipment and infrared imaging equipment, wherein the timing equipment is used for detecting whether the current moment belongs to a night time period or a day time period, the infrared imaging equipment is connected with the timing equipment and used for being started in the night time period to output a real-time snapshot image, and the visible light imaging equipment is connected with the timing equipment and used for being started in the day time period to output the real-time snapshot image;
the first identification device is connected with the day and night snapshot mechanism and used for identifying each insect body object in the real-time snapshot image based on the shape characteristics of the insect body and acquiring the imaging depth of field of each insect body object;
the second identification equipment is connected with the first identification combination and is used for acquiring the area of an imaging area of each worm object;
the size identification device is respectively connected with the first identification device and the second identification device and used for calculating the entity estimation volume of each worm object based on the imaging depth of field of each worm object and the area of the imaging area of the worm object;
the data analysis equipment is connected with the size identification equipment and used for calculating pesticide preparation concentration by taking the maximum value in each entity estimation volume of each insect object in the real-time snapshot image as a reference value;
the maximum value in the estimated volume of each entity of each insect object in the real-time snapshot image is larger, and the pesticide preparation concentration obtained through calculation is higher;
wherein calculating the entity estimation volume of each worm object based on the imaging depth of field of the worm object and the area of the imaging region thereof comprises: the deeper the imaging depth of field of each polypide object is, the larger the entity estimated volume of the polypide object obtained by calculation is;
wherein calculating the entity estimation volume of each worm object based on the imaging depth of field of the worm object and the area of the imaging region thereof comprises: the larger the imaging area of each polypide object is, the larger the entity estimated volume of the polypide object is obtained through calculation;
wherein calculating the entity estimation volume of each worm object based on the imaging depth of field of the worm object and the area of the imaging region thereof further comprises: and taking the imaging focal length of the visible light imaging device or the infrared imaging device as a reference focal length, and calculating the entity estimated volume of each polypide object based on the reference focal length, the imaging depth of field of each polypide object and the area of the imaging area of the polypide object.
Next, a specific configuration of the pesticide preparation concentration on-site analysis system of the present invention will be further described.
The pesticide preparation concentration field analysis system can also comprise:
and the wired communication interface is connected with the size identification device and is used for sending the output data of the size identification device out through a wired communication link.
In the pesticide preparation concentration field analysis system:
the wired communication interface is one of an ADSL communication interface, a PTSN communication interface, a power line communication interface or an optical fiber communication interface.
The pesticide preparation concentration field analysis system can also comprise:
and the temperature regulation and control equipment is arranged in the data analysis equipment and is used for executing the regulation and control of the internal temperature of the data analysis equipment according to the internal temperature value of the data analysis equipment.
In the pesticide preparation concentration field analysis system:
the data analysis equipment further comprises temperature measurement quantum equipment which is connected with the temperature regulation and control equipment and used for providing an internal temperature value of the data analysis equipment.
The field analysis method for pesticide preparation concentration according to the embodiment of the invention comprises the following steps:
the day and night snapshot mechanism is arranged in the central position of the lawn and used for executing image snapshot processing on the environment where the lawn is located so as to obtain a corresponding real-time snapshot image;
the day and night snapshot mechanism comprises timing equipment, visible light imaging equipment and infrared imaging equipment, wherein the timing equipment is used for detecting whether the current moment belongs to a night time period or a day time period, the infrared imaging equipment is connected with the timing equipment and used for being started in the night time period to output a real-time snapshot image, and the visible light imaging equipment is connected with the timing equipment and used for being started in the day time period to output the real-time snapshot image;
using first identification equipment, connecting with the day and night snapshot mechanism, and identifying each insect body object in the real-time snapshot image based on the shape characteristics of the insect body and acquiring the imaging depth of field of each insect body object;
using a second recognition device, connected with the first recognition device in a combining way, and used for acquiring the area of the imaging area of each worm object;
using a size discrimination device respectively connected with the first identification device and the second identification device for calculating an entity estimation volume of each worm object based on the imaging depth of field of the worm object and the area of the imaging area of the worm object;
using data analysis equipment connected with the size identification equipment and used for calculating pesticide preparation concentration by taking the maximum value in each entity estimation volume of each insect object in the real-time snapshot image as a reference value;
the maximum value in the estimated volume of each entity of each insect object in the real-time snapshot image is larger, and the pesticide preparation concentration obtained through calculation is higher;
wherein calculating the entity estimation volume of each worm object based on the imaging depth of field of the worm object and the area of the imaging region thereof comprises: the deeper the imaging depth of field of each polypide object is, the larger the entity estimated volume of the polypide object obtained by calculation is;
wherein calculating the entity estimation volume of each worm object based on the imaging depth of field of the worm object and the area of the imaging region thereof comprises: the larger the imaging area of each polypide object is, the larger the entity estimated volume of the polypide object is obtained through calculation;
wherein calculating the entity estimation volume of each worm object based on the imaging depth of field of the worm object and the area of the imaging region thereof further comprises: and taking the imaging focal length of the visible light imaging device or the infrared imaging device as a reference focal length, and calculating the entity estimated volume of each polypide object based on the reference focal length, the imaging depth of field of each polypide object and the area of the imaging area of the polypide object.
Next, the specific steps of the method for analyzing the pesticide preparation concentration on site according to the present invention will be further described.
The field analysis method for the pesticide preparation concentration can also comprise the following steps:
and the size identification device is connected with the wired communication interface and used for sending the output data of the size identification device out through a wired communication link.
The field analysis method for the pesticide preparation concentration comprises the following steps:
the wired communication interface is one of an ADSL communication interface, a PTSN communication interface, a power line communication interface or an optical fiber communication interface.
The field analysis method for the pesticide preparation concentration can also comprise the following steps:
and the temperature regulation and control equipment is arranged in the data analysis equipment and used for executing the regulation and control of the internal temperature of the data analysis equipment according to the internal temperature value of the data analysis equipment.
The field analysis method for the pesticide preparation concentration comprises the following steps:
the data analysis equipment further comprises temperature measurement quantum equipment which is connected with the temperature regulation and control equipment and used for providing an internal temperature value of the data analysis equipment.
In addition, pstn (public Switched Telephone network) defines: the PSTN provides an analog private channel, and the channels are connected through a plurality of telephone switches. When two hosts or router devices need to be connected through PSTN, a Modem (Modem) must be used on the network access side (i.e., the user loop side) at both ends to implement analog-to-digital, digital-to-analog conversion of signals. From the perspective of the OSI seven-layer model, the PSTN can be viewed as a simple extension of the physical layer, without providing services such as flow control, error control, etc. to the user. Furthermore, since the PSTN is a circuit-switched approach, a path is set up until released, and its full bandwidth can only be used by devices at both ends of the path, even though there is no data to transfer between them. Therefore, this circuit-switched approach does not achieve full utilization of network bandwidth. The network interconnection is exemplified by the PSTN. The following is an example of a network interconnection connecting two local area networks via a PSTN. In the two local area networks, each router is provided with a serial port connected with a Modem, and the Modem is connected with a PSTN, thereby realizing the interconnection of the two local area networks.
Finally, it should be noted that each functional device in the embodiments of the present invention may be integrated into one processing device, or each device may exist alone physically, or two or more devices may be integrated into one device.
The functions, if implemented in the form of software-enabled devices and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. A pesticide preparation concentration field analysis system is characterized by comprising:
the day and night snapshot mechanism is arranged at the central position of the lawn and is used for executing image snapshot processing on the environment where the lawn is located so as to obtain a corresponding real-time snapshot image;
the day and night snapshot mechanism comprises timing equipment, visible light imaging equipment and infrared imaging equipment, wherein the timing equipment is used for detecting whether the current moment belongs to a night time period or a day time period, the infrared imaging equipment is connected with the timing equipment and used for being started in the night time period to output a real-time snapshot image, and the visible light imaging equipment is connected with the timing equipment and used for being started in the day time period to output the real-time snapshot image;
the first identification device is connected with the day and night snapshot mechanism and used for identifying each insect body object in the real-time snapshot image based on the shape characteristics of the insect body and acquiring the imaging depth of field of each insect body object;
the second identification equipment is connected with the first identification combination and is used for acquiring the area of an imaging area of each worm object;
the size identification device is respectively connected with the first identification device and the second identification device and used for calculating the entity estimation volume of each worm object based on the imaging depth of field of each worm object and the area of the imaging area of the worm object;
the data analysis equipment is connected with the size identification equipment and used for calculating pesticide preparation concentration by taking the maximum value in each entity estimation volume of each insect object in the real-time snapshot image as a reference value;
the maximum value in the estimated volume of each entity of each insect object in the real-time snapshot image is larger, and the pesticide preparation concentration obtained through calculation is higher;
wherein calculating the entity estimation volume of each worm object based on the imaging depth of field of the worm object and the area of the imaging region thereof comprises: the deeper the imaging depth of field of each polypide object is, the larger the entity estimated volume of the polypide object obtained by calculation is;
wherein calculating the entity estimation volume of each worm object based on the imaging depth of field of the worm object and the area of the imaging region thereof comprises: the larger the imaging area of each polypide object is, the larger the entity estimated volume of the polypide object is obtained through calculation;
wherein calculating the entity estimation volume of each worm object based on the imaging depth of field of the worm object and the area of the imaging region thereof further comprises: and taking the imaging focal length of the visible light imaging device or the infrared imaging device as a reference focal length, and calculating the entity estimated volume of each polypide object based on the reference focal length, the imaging depth of field of each polypide object and the area of the imaging area of the polypide object.
2. The system for on-site analysis of pesticide formulation concentration according to claim 1, further comprising:
and the wired communication interface is connected with the size identification device and is used for sending the output data of the size identification device out through a wired communication link.
3. The system for analyzing pesticide preparation concentration on site according to claim 2, characterized in that:
the wired communication interface is one of an ADSL communication interface, a PTSN communication interface, a power line communication interface or an optical fiber communication interface.
4. The system for on-site analysis of pesticide formulation concentration according to claim 3, further comprising:
and the temperature regulation and control equipment is arranged in the data analysis equipment and is used for executing the regulation and control of the internal temperature of the data analysis equipment according to the internal temperature value of the data analysis equipment.
5. The system for analyzing pesticide preparation concentration on site according to claim 4, characterized in that:
the data analysis equipment further comprises temperature measurement quantum equipment which is connected with the temperature regulation and control equipment and used for providing an internal temperature value of the data analysis equipment.
6. A method for analyzing pesticide preparation concentration on site, which is characterized by comprising the following steps:
the day and night snapshot mechanism is arranged in the central position of the lawn and used for executing image snapshot processing on the environment where the lawn is located so as to obtain a corresponding real-time snapshot image;
the day and night snapshot mechanism comprises timing equipment, visible light imaging equipment and infrared imaging equipment, wherein the timing equipment is used for detecting whether the current moment belongs to a night time period or a day time period, the infrared imaging equipment is connected with the timing equipment and used for being started in the night time period to output a real-time snapshot image, and the visible light imaging equipment is connected with the timing equipment and used for being started in the day time period to output the real-time snapshot image;
using first identification equipment, connecting with the day and night snapshot mechanism, and identifying each insect body object in the real-time snapshot image based on the shape characteristics of the insect body and acquiring the imaging depth of field of each insect body object;
using a second recognition device, connected with the first recognition device in a combining way, and used for acquiring the area of the imaging area of each worm object;
using a size discrimination device respectively connected with the first identification device and the second identification device for calculating an entity estimation volume of each worm object based on the imaging depth of field of the worm object and the area of the imaging area of the worm object;
using data analysis equipment connected with the size identification equipment and used for calculating pesticide preparation concentration by taking the maximum value in each entity estimation volume of each insect object in the real-time snapshot image as a reference value;
the maximum value in the estimated volume of each entity of each insect object in the real-time snapshot image is larger, and the pesticide preparation concentration obtained through calculation is higher;
wherein calculating the entity estimation volume of each worm object based on the imaging depth of field of the worm object and the area of the imaging region thereof comprises: the deeper the imaging depth of field of each polypide object is, the larger the entity estimated volume of the polypide object obtained by calculation is;
wherein calculating the entity estimation volume of each worm object based on the imaging depth of field of the worm object and the area of the imaging region thereof comprises: the larger the imaging area of each polypide object is, the larger the entity estimated volume of the polypide object is obtained through calculation;
wherein calculating the entity estimation volume of each worm object based on the imaging depth of field of the worm object and the area of the imaging region thereof further comprises: and taking the imaging focal length of the visible light imaging device or the infrared imaging device as a reference focal length, and calculating the entity estimated volume of each polypide object based on the reference focal length, the imaging depth of field of each polypide object and the area of the imaging area of the polypide object.
7. The method for analyzing pesticide preparation concentration on site according to claim 6, further comprising:
and the size identification device is connected with the wired communication interface and used for sending the output data of the size identification device out through a wired communication link.
8. The method for analyzing the pesticide preparation concentration on site according to claim 7, characterized in that:
the wired communication interface is one of an ADSL communication interface, a PTSN communication interface, a power line communication interface or an optical fiber communication interface.
9. The method for analyzing pesticide preparation concentration on site according to claim 8, further comprising:
and the temperature regulation and control equipment is arranged in the data analysis equipment and used for executing the regulation and control of the internal temperature of the data analysis equipment according to the internal temperature value of the data analysis equipment.
10. The method for analyzing the pesticide preparation concentration on site according to claim 9, characterized in that:
the data analysis equipment further comprises temperature measurement quantum equipment which is connected with the temperature regulation and control equipment and used for providing an internal temperature value of the data analysis equipment.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112620970A (en) * | 2020-11-23 | 2021-04-09 | 泰州芯源半导体科技有限公司 | Laser cutting system based on size detection |
| CN113052901A (en) * | 2020-10-29 | 2021-06-29 | 泰州镭昇光电科技有限公司 | Targeted informatization processing platform and method |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2005021074A (en) * | 2003-07-01 | 2005-01-27 | Terada Seisakusho Co Ltd | Method and system for image processing counting |
| CN101701915A (en) * | 2009-11-13 | 2010-05-05 | 江苏大学 | Device and method for detecting stored-grain insects based on visible light-near infrared binocular machine vision |
| US20170055511A1 (en) * | 2015-09-01 | 2017-03-02 | The Regents Of The University Of California | Systems and methods for classifying flying insects |
| US20170287160A1 (en) * | 2016-03-29 | 2017-10-05 | Ecolab Usa Inc. | Analyzing images of pests using a mobile device application |
| CN107996536A (en) * | 2017-11-24 | 2018-05-08 | 张昕然 | A kind of locust monitoring image identification automatic warning device and its manufacturing process |
| CN207540540U (en) * | 2017-12-07 | 2018-06-26 | 中国科学院合肥物质科学研究院 | A kind of adaptive field Measuring and reporting lamp of taking pictures based on three-dimensional identification |
| RU2017138250A3 (en) * | 2017-11-02 | 2019-05-06 |
-
2020
- 2020-01-02 CN CN202010001471.XA patent/CN111830029B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2005021074A (en) * | 2003-07-01 | 2005-01-27 | Terada Seisakusho Co Ltd | Method and system for image processing counting |
| CN101701915A (en) * | 2009-11-13 | 2010-05-05 | 江苏大学 | Device and method for detecting stored-grain insects based on visible light-near infrared binocular machine vision |
| US20170055511A1 (en) * | 2015-09-01 | 2017-03-02 | The Regents Of The University Of California | Systems and methods for classifying flying insects |
| US20170287160A1 (en) * | 2016-03-29 | 2017-10-05 | Ecolab Usa Inc. | Analyzing images of pests using a mobile device application |
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