CN112903010A - Intelligent pest and disease monitoring and preventing method - Google Patents
Intelligent pest and disease monitoring and preventing method Download PDFInfo
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- CN112903010A CN112903010A CN202110057747.0A CN202110057747A CN112903010A CN 112903010 A CN112903010 A CN 112903010A CN 202110057747 A CN202110057747 A CN 202110057747A CN 112903010 A CN112903010 A CN 112903010A
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Abstract
The invention provides an intelligent pest monitoring and preventing method, which belongs to the technical field of intelligent pest monitoring, and is characterized in that environment and weather are monitored in real time through a remote sensing monitoring technology, information captured by monitoring equipment and information obtained by combining photos with a rocker monitoring technology are uploaded to an artificial intelligent neural network, the information data are diagnosed by the neural network, and pests and diseases are prevented by combining time of day and geography, so that the pests and diseases are prevented from injuring crops, loss is reduced, and cost is low.
Description
Technical Field
The invention mainly relates to the technical field of intelligent pest and disease damage monitoring, in particular to an intelligent pest and disease damage monitoring and preventing method.
Background
The history of planting grain crops in China is long, the region is wide, and the method is one of the world large countries for producing grains. The high yield and harvest of the grain crops are seriously influenced by the plant diseases and insect pests. In recent years, diseases and pests are in a serious situation and occur for many times every year, so that large-area and large-scale production reduction is caused. Has serious influence on the grain storage and the grain price. Meanwhile, the occurrence condition of the diseases and insect pests is complex, and the diagnosis and treatment are difficult, so that the real-time monitoring, the timely diagnosis and the timely treatment of the diseases and insect pests become the important factors for reducing the loss and the cost.
Disclosure of Invention
The invention mainly provides an intelligent pest and disease monitoring and preventing method, which is used for solving the technical problems in the background technology.
The technical scheme adopted by the invention for solving the technical problems is as follows:
the method comprises the following steps:
(1) monitoring environment, plant diseases and insect pests and weather to obtain monitoring data;
(2) processing and storing the obtained monitoring data;
(3) the artificial intelligence analyzes the processed data and operates according to the different analyzed data; the invention monitors the environment and weather in real time by a remote sensing monitoring technology, information captured by monitoring equipment and information obtained by combining photos with a rocker monitoring technology are uploaded to an artificial intelligent neural network, the neural network diagnoses information data, and diseases and insect pests are prevented by combining time of day and geography, so that the crops are prevented from being damaged by the diseases and insect pests, the loss is reduced, and the cost is low.
Further, the monitoring method comprises the following steps:
(1) monitoring the environment according to a remote sensing monitoring technology, and uploading environment monitoring data to an environment monitoring module for sorting and planning;
(2) capturing different types of plant diseases and insect pests according to monitoring equipment, uploading captured information and pictures to a plant disease and insect pest monitoring module, and analyzing and classifying the different plant diseases and insect pests;
(3) and monitoring weather according to a remote sensing monitoring technology, and uploading environment monitoring data to a weather monitoring module for sorting and planning.
(4) And uploading the environment monitoring module, the pest and disease monitoring data analysis module and the weather detection module to an information data display center, and performing data integration planning on various different information obtained by various modules.
Further, the intelligent prevention method comprises the following steps:
(1) inputting the data of the information data display center integrated planning, and then importing the data into a data collection module for storage;
(2) comparing the data obtained above the information data stored in the data collection module to obtain comprehensive data information, and analyzing the comprehensive data information to obtain final information data;
(3) and obtaining suspected plant diseases and insect pests according to the final information data result, giving a treatment scheme by combining the obtained environment and weather information data, and performing intelligent operation to prevent the plant diseases and insect pests through the given treatment scheme.
Compared with the prior art, the invention has the beneficial effects that:
the invention monitors the environment and weather in real time by a remote sensing monitoring technology, information captured by monitoring equipment and information obtained by combining photos with a rocker monitoring technology are uploaded to an artificial intelligent neural network, the neural network diagnoses information data, and diseases and insect pests are prevented by combining time of day and geography, so that the crops are prevented from being damaged by the diseases and insect pests, the loss is reduced, and the cost is low.
The present invention will be explained in detail below with reference to the drawings and specific embodiments.
Drawings
FIG. 1 is a diagram illustrating an exemplary basic information data management structure according to the present invention;
FIG. 2 is a schematic diagram of an intelligent detection prevention architecture of the present invention;
FIG. 3 is a schematic diagram of an information data processing and storing module according to the present invention.
Detailed Description
In order to facilitate an understanding of the invention, the invention will now be described more fully hereinafter with reference to the accompanying drawings, in which several embodiments of the invention are shown, but which may be embodied in different forms and not limited to the embodiments described herein, but which are provided so as to provide a more thorough and complete disclosure of the invention.
It will be understood that when an element is referred to as being "secured to" another element, it can be directly on the other element or intervening elements may be present, and when an element is referred to as being "connected" to another element, it can be directly connected to the other element or intervening elements may also be present, as the terms "vertical", "horizontal", "left", "right" and the like are used herein for descriptive purposes only.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs, and the knowledge of the terms used herein in the specification of the present invention is for the purpose of describing particular embodiments and is not intended to limit the present invention, and the term "and/or" as used herein includes any and all combinations of one or more of the associated listed items.
Please refer to fig. 1-3, which includes the following steps:
(1) monitoring environment, plant diseases and insect pests and weather to obtain monitoring data;
(2) processing and storing the obtained monitoring data;
(3) and the artificial intelligence analyzes the processed data and operates according to the different analyzed data.
Referring now to fig. 1-2, the monitoring method comprises the following steps:
(1) monitoring the environment according to a remote sensing monitoring technology, and uploading environment monitoring data to an environment monitoring module for sorting and planning;
(2) capturing different types of plant diseases and insect pests according to monitoring equipment, uploading captured information and pictures to a plant disease and insect pest monitoring module, and analyzing and classifying the different plant diseases and insect pests;
(3) and monitoring weather according to a remote sensing monitoring technology, and uploading environment monitoring data to a weather monitoring module for sorting and planning.
(4) And uploading the environment monitoring module, the pest and disease monitoring data analysis module and the weather detection module to an information data display center, and performing data integration planning on various different information obtained by various modules.
Please refer to fig. 3, the intelligent prevention method comprises the following steps:
(1) inputting the data of the information data display center integrated planning, and then importing the data into a data collection module for storage;
(2) comparing the data obtained above the information data stored in the data collection module to obtain comprehensive data information, and analyzing the comprehensive data information to obtain final information data;
(3) obtaining suspected plant diseases and insect pests according to the final information data result, giving a treatment scheme by combining the obtained environment and weather information data, and performing intelligent operation to prevent the plant diseases and insect pests through the given treatment scheme; the invention monitors the environment and weather in real time by a remote sensing monitoring technology, information captured by monitoring equipment and information obtained by combining photos with a rocker monitoring technology are uploaded to an artificial intelligent neural network, the neural network diagnoses information data, and diseases and insect pests are prevented by combining time of day and geography, so that the crops are prevented from being damaged by the diseases and insect pests, the loss is reduced, and the cost is low.
The invention is described above with reference to the accompanying drawings, it is obvious that the invention is not limited to the above-described embodiments, and it is within the scope of the invention to adopt such insubstantial modifications of the inventive method concept and solution, or to apply the inventive concept and solution directly to other applications without modification.
Claims (3)
1. An intelligent pest and disease monitoring and preventing method is characterized by comprising the following steps:
(1) monitoring environment, plant diseases and insect pests and weather to obtain monitoring data;
(2) processing and storing the obtained monitoring data;
(3) and the artificial intelligence analyzes the processed data and operates according to the different analyzed data.
2. An intelligent pest monitoring and prevention method according to claim 1, wherein the monitoring method comprises the following steps:
(1) monitoring the environment according to a remote sensing monitoring technology, and uploading environment monitoring data to an environment monitoring module for sorting and planning;
(2) capturing different types of plant diseases and insect pests according to monitoring equipment, uploading captured information and pictures to a plant disease and insect pest monitoring module, and analyzing and classifying the different plant diseases and insect pests;
(3) monitoring weather according to a remote sensing monitoring technology, and uploading environment monitoring data to a weather monitoring module for sorting and planning;
(4) and uploading the environment monitoring module, the pest and disease monitoring data analysis module and the weather detection module to an information data display center, and performing data integration planning on various different information obtained by various modules.
3. An intelligent pest monitoring and prevention method according to claim 2, wherein the intelligent prevention method comprises the following steps:
(1) inputting the data of the information data display center integrated planning, and then importing the data into a data collection module for storage;
(2) comparing the data obtained above the information data stored in the data collection module to obtain comprehensive data information, and analyzing the comprehensive data information to obtain final information data;
(3) and obtaining suspected plant diseases and insect pests according to the final information data result, giving a treatment scheme by combining the obtained environment and weather information data, and performing intelligent operation to prevent the plant diseases and insect pests through the given treatment scheme.
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Citations (6)
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| CN106331171A (en) * | 2016-10-17 | 2017-01-11 | 王卫斌 | Pest and disease networking monitoring system and monitoring control method |
| CN109315376A (en) * | 2018-09-18 | 2019-02-12 | 郑州云海信息技术有限公司 | A kind of pest and disease damage monitoring management system and method based on ICS |
| CN110472784A (en) * | 2019-08-08 | 2019-11-19 | 黑龙江农垦垦通信息通信有限公司 | A kind of insect pests forecasting based on artificial intelligence and diagnostic system and method |
| CN210570820U (en) * | 2019-09-26 | 2020-05-19 | 海南丽珠科技有限公司 | Agricultural detection early warning system |
| WO2020179961A1 (en) * | 2019-03-05 | 2020-09-10 | 주식회사 넥스모스 | Service system for predicting disease and insect pest of plant and communicable disease of animal and human |
| CN112055079A (en) * | 2020-09-03 | 2020-12-08 | 华艺生态园林股份有限公司 | Disease and pest monitoring and early warning system based on cloud computing platform |
-
2021
- 2021-01-15 CN CN202110057747.0A patent/CN112903010A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106331171A (en) * | 2016-10-17 | 2017-01-11 | 王卫斌 | Pest and disease networking monitoring system and monitoring control method |
| CN109315376A (en) * | 2018-09-18 | 2019-02-12 | 郑州云海信息技术有限公司 | A kind of pest and disease damage monitoring management system and method based on ICS |
| WO2020179961A1 (en) * | 2019-03-05 | 2020-09-10 | 주식회사 넥스모스 | Service system for predicting disease and insect pest of plant and communicable disease of animal and human |
| CN110472784A (en) * | 2019-08-08 | 2019-11-19 | 黑龙江农垦垦通信息通信有限公司 | A kind of insect pests forecasting based on artificial intelligence and diagnostic system and method |
| CN210570820U (en) * | 2019-09-26 | 2020-05-19 | 海南丽珠科技有限公司 | Agricultural detection early warning system |
| CN112055079A (en) * | 2020-09-03 | 2020-12-08 | 华艺生态园林股份有限公司 | Disease and pest monitoring and early warning system based on cloud computing platform |
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