CN112034912A - Greenhouse crop disease control method based on real-time feedback - Google Patents
Greenhouse crop disease control method based on real-time feedback Download PDFInfo
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Abstract
The invention discloses a greenhouse crop disease control method based on real-time feedback, which specifically comprises the following steps: the invention relates to the technical field of greenhouse crop disease control, and discloses a greenhouse crop disease control method. According to the greenhouse crop disease control method based on real-time feedback, image information of greenhouse crops is subjected to real-time data acquisition by using an image recognition technology, a central computer compares, analyzes and judges the acquired crop image information and standard disease data information in a disease database, disease types and disease levels of the greenhouse crops are obtained, environmental parameters in a greenhouse are regulated and controlled according to the disease types and the disease levels of the greenhouse crops, diseases are timely processed by adopting biological and physical methods, compared with the traditional greenhouse crop disease control method, the greenhouse crop disease control method can greatly improve timeliness of crop disease control, is high in disease judgment accuracy and effectively reduces manpower cost consumption.
Description
Technical Field
The invention relates to the technical field of greenhouse crop disease control, in particular to a greenhouse crop disease control method based on real-time feedback.
Background
With the rapid development of greenhouse planting and greenhouse facility technology, diseases of greenhouse crops are more and more common, damages are more and more serious, and because the diagnosis and the prevention of the diseases of the greenhouse crops are basically analyzed and judged by traditional planting experience or plant pathological knowledge, the inaccurate diagnosis and the untimely prevention and treatment can not be timely remedied in the greenhouse production process, thereby causing yield reduction and even destructive disasters, and causing loss of agricultural production benefits.
In recent years, with the gradual maturity of advanced technologies such as an image recognition technology, a communication technology, big data, artificial intelligence and the internet of things, the method is also widely applied to the production of greenhouse crops, the traditional greenhouse disease control usually depends on the analysis and judgment of planting experience and plant pathological knowledge, the timeliness is poor, the error is serious, the accuracy is low, and the labor cost is high, so that the greenhouse disease solution which can be timely recognized, accurately diagnosed and rapidly adopted for control is more and more urgent to find, and therefore, technicians in the field provide a greenhouse crop disease control method based on real-time feedback.
Disclosure of Invention
Technical problem to be solved
Aiming at the defects of the prior art, the invention provides a greenhouse crop disease control method based on real-time feedback, and solves the problems of poor timeliness, serious errors, low accuracy and high labor cost due to the fact that the traditional greenhouse disease control usually depends on the analysis and judgment of planting experience and plant pathological knowledge.
(II) technical scheme
In order to achieve the purpose, the invention is realized by the following technical scheme: a greenhouse crop disease control method based on real-time feedback specifically comprises the following steps:
s1, acquiring image information of greenhouse crops by using an image recognition technology, and feeding the acquired information back to a control center computer for analysis and comparison;
s2, comparing the collected image information with standard disease data information in a database in a central computer, determining the disease types and disease grades of greenhouse crops, wherein the disease information analysis process comprises an image collection module, an image processing module, an image comparison module, an image judgment module, a disease database and a data storage module;
s3, issuing a control scheme according to the feedback disease condition, and carrying out regulation and control of environmental parameters and control of biological and physical methods in the greenhouse.
Preferably, in step S1, the image recognition technology is to collect image information, analyze the image information, classify the image information, perform model matching on the result of the image analysis and the obtained classification information with a prototype template in an information base, complete conversion from a pattern space to a category space, and output the category of the matching result.
Preferably, in step S1, the analysis and classification of the image information are performed by comparing with the standard images in the database to obtain the analysis and classification results.
Preferably, in step S1, the image recognition technology uses a camera to respectively obtain panoramic information of the greenhouse crops, obtain individual plant information of the greenhouse crops, and obtain local information of leaves, stalks, fruits, and the like of the greenhouse crops.
Preferably, in step S2, the image information collected by the image collecting card is fed back to the central computer, and then the collected crop image information is compared with the standard disease data information in the database for analysis, so as to obtain the disease type and disease grade of the greenhouse crop.
Preferably, in step S2, the output end of the image acquisition module is connected to the input end of the image processing module, the image processing module is connected to the input end of the image comparison module, the output end of the image comparison module is connected to the output end of the image judgment module, the output end of the image judgment module is connected to the input end of the data storage module, and the output end of the disease database is connected to the input end of the image comparison module.
Preferably, in step S3, the regulation and control of the environmental parameters inside the greenhouse includes automatic and comprehensive regulation and control of the optimum temperature, humidity, and illumination intensity inside the greenhouse, where the environmental regulation and control device specifically includes an environmental information collection device, a sensor, a rolling machine, a film rolling device, a sunshade net, and a light supplement lamp.
Preferably, the step S3 includes targeted biological measures and drug spraying control for biological and physical methods inside the greenhouse.
(III) advantageous effects
The invention provides a greenhouse crop disease control method based on real-time feedback. Compared with the prior art, the method has the following beneficial effects:
the greenhouse crop disease control method based on real-time feedback comprises the steps of obtaining image information of greenhouse crops by using an image recognition technology, feeding the collected information back to a control center computer for analysis and comparison, comparing the collected image information with standard disease data information in a database in the center computer to determine the disease types and disease levels of the greenhouse crops, sending a control scheme according to the fed-back disease condition for controlling environmental parameters and biological and physical methods in a greenhouse, collecting the image information of the greenhouse crops by using the image recognition technology in real time, comparing, analyzing and judging the collected image information of the greenhouse crops and the standard disease data information in the disease database by using the center computer, the disease type and the disease grade of the greenhouse crops are obtained in time, so that the environmental parameters inside the greenhouse are regulated and controlled according to the disease type and the disease grade of the greenhouse crops, and meanwhile, the diseases of the crops are treated in time by adopting a biological and physical method.
Drawings
FIG. 1 is a structural schematic block diagram of greenhouse crop disease information analysis according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, an embodiment of the present invention provides a technical solution: a greenhouse crop disease control method based on real-time feedback specifically comprises the following steps:
s1, acquiring image information of greenhouse crops by using an image recognition technology, and feeding the acquired information back to a control center computer for analysis and comparison;
s2, comparing the collected image information with standard disease data information in a database in a central computer, determining the disease types and disease grades of greenhouse crops, wherein the disease information analysis process comprises an image collection module, an image processing module, an image comparison module, an image judgment module, a disease database and a data storage module;
s3, issuing a control scheme according to the feedback disease condition, and carrying out regulation and control of environmental parameters and control of biological and physical methods in the greenhouse.
In the present invention, in step S1, the image recognition technique specifically includes collecting image information, analyzing the image information, classifying the image information, performing model matching on the result of the image analysis and the obtained classification information with a prototype template in an information base, completing conversion from a pattern space to a category space, and outputting the category of the matching result.
In the present invention, in step S1, the analysis and classification of the image information are compared with the standard images in the database to obtain the analysis and classification results.
In the invention, in step S1, the image recognition technology uses a camera to respectively obtain panoramic information of greenhouse crops, individual plant information of greenhouse crops and local information of greenhouse crops such as leaves, stalks, fruits and the like.
In the invention, in step S2, the collected image information is fed back to the central computer by the image collection card, and then the collected crop image information is compared and analyzed with the standard disease data information in the database to obtain the disease type and disease grade of the greenhouse crop.
In step S2, the output end of the image acquisition module is connected to the input end of the image processing module, the image processing module is connected to the input end of the image comparison module, the output end of the image comparison module is connected to the output end of the image judgment module, the output end of the image judgment module is connected to the input end of the data storage module, and the output end of the disease database is connected to the input end of the image comparison module.
In the invention, in step S3, the regulation and control of the environmental parameters inside the greenhouse includes automatic comprehensive regulation and control of the optimum temperature, humidity and illumination intensity inside the greenhouse, wherein the environmental regulation and control equipment specifically includes environmental information acquisition equipment, a sensor, a roller shutter, a film winder, a sunshade net and a light supplement lamp.
In the invention, in step S3, the biological and physical method control in the greenhouse comprises the targeted biological measure control and the drug spraying control.
And those not described in detail in this specification are well within the skill of those in the art.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (8)
1. A greenhouse crop disease control method based on real-time feedback is characterized in that: the method specifically comprises the following steps:
s1, acquiring image information of greenhouse crops by using an image recognition technology, and feeding the acquired information back to a control center computer for analysis and comparison;
s2, comparing the collected image information with standard disease data information in a database in a central computer, determining the disease types and disease grades of greenhouse crops, wherein the disease information analysis process comprises an image collection module, an image processing module, an image comparison module, an image judgment module, a disease database and a data storage module;
s3, issuing a control scheme according to the feedback disease condition, and carrying out regulation and control of environmental parameters and control of biological and physical methods in the greenhouse.
2. The method for controlling diseases of greenhouse crops based on real-time feedback as claimed in claim 1, wherein: in step S1, the image recognition technology specifically includes collecting image information, analyzing the image information, classifying the image information, performing model matching on the result of the image analysis and the obtained classification information with a prototype template in an information base, completing conversion from a pattern space to a category space, and outputting a category of a matching result.
3. The method for controlling diseases of greenhouse crops based on real-time feedback as claimed in claim 1, wherein: in step S1, the analysis and classification of the image information are compared with the standard images in the database to obtain the analysis and classification results.
4. The method for controlling diseases of greenhouse crops based on real-time feedback as claimed in claim 1, wherein: in step S1, the image recognition technology uses a camera to respectively obtain panoramic information of the greenhouse crop, obtain individual plant information of the greenhouse crop, and obtain local information of the greenhouse crop, such as leaves, stems, fruits, etc.
5. The method for controlling diseases of greenhouse crops based on real-time feedback as claimed in claim 1, wherein: in the step S2, the collected image information is fed back to the central computer by the image collection card, and then the collected crop image information is compared and analyzed with the standard disease data information in the database to obtain the disease type and disease grade of the greenhouse crop.
6. The method for controlling diseases of greenhouse crops based on real-time feedback as claimed in claim 1, wherein: in step S2, the output end of the image acquisition module is connected to the input end of the image processing module, the image processing module is connected to the input end of the image comparison module, the output end of the image comparison module is connected to the output end of the image judgment module, the output end of the image judgment module is connected to the input end of the data storage module, and the output end of the disease database is connected to the input end of the image comparison module.
7. The method for controlling diseases of greenhouse crops based on real-time feedback as claimed in claim 1, wherein: in the step S3, the regulation and control of the environmental parameters inside the greenhouse includes automatic comprehensive regulation and control of the optimum temperature, humidity, and illumination intensity inside the greenhouse, where the environmental regulation and control equipment specifically includes environmental information collection equipment, a sensor, a rolling shutter machine, a film rolling device, a sunshade net, and a light supplement lamp.
8. The method for controlling diseases of greenhouse crops based on real-time feedback as claimed in claim 1, wherein: in step S3, the biological and physical methods inside the greenhouse include targeted biological measures and chemical spraying.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112836616A (en) * | 2021-01-28 | 2021-05-25 | 广东技术师范大学 | Huanglongbing early warning method and device based on environmental parameter sequence and computer equipment |
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