CN110574611A - Forestry pest prevention and control method and system - Google Patents
Forestry pest prevention and control method and system Download PDFInfo
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- CN110574611A CN110574611A CN201910984947.3A CN201910984947A CN110574611A CN 110574611 A CN110574611 A CN 110574611A CN 201910984947 A CN201910984947 A CN 201910984947A CN 110574611 A CN110574611 A CN 110574611A
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- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01G—HORTICULTURE; CULTIVATION OF VEGETABLES, FLOWERS, RICE, FRUIT, VINES, HOPS OR SEAWEED; FORESTRY; WATERING
- A01G13/00—Protecting plants
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/02—Agriculture; Fishing; Mining
Abstract
The invention discloses a forestry pest prevention and control method and a prevention and control system based on biological prevention and control technology and big data, wherein the method comprises the following steps: acquiring pest data of a forest land of a preset area in a preset mode; judging whether the pest occurrence area of the forest land exceeds a preset value according to the pest data; when the pest occurrence area of the forest land exceeds a preset value, starting a first pest control program for the forest land to execute biological control measures; and when the pest occurrence area of the forest land does not exceed a preset value, starting a second pest prevention and control program for the forest land to execute biological disaster prevention measures. According to the method, the pest data of the forest land are acquired, whether the pest occurrence area exceeds the preset value or not is judged, and biological prevention measures or biological disaster prevention measures are implemented according to the size of the pest occurrence area, so that the aims of accurately preventing and controlling forestry pests are fulfilled.
Description
Technical Field
The invention relates to the technical field of forestry, in particular to a forestry pest prevention and control method and system based on biological prevention and control technology and big data.
Background
At present, the conventional forest pest control method is composed of chemical control, physical control and biological control, the chemical control is mainly adopted, chemical agents such as deltamethrin, cypermethrin, dimethoate, omethoate and the like are adopted, and the control mode is generally manual ground control.
The chemical control mode cannot effectively control the explosion degree and area of the forest pests, and the effective duration of the mode is short, so that continuous investment is required according to the corresponding forest pest explosion rule. The forest pest law in China aims at 'prevention is mainly, scientific prevention and control, law-dependent control and health promotion', the traditional chemical prevention and control is taken as a main means in the forest pest law prevention and control in China at present, the prevention and control aim is to control the disaster tendency or the disaster area, and the like, and in the existing forest technology, the pest data cannot be analyzed so as to make forest prevention and control measures.
Disclosure of Invention
the invention mainly aims to provide a forestry pest prevention and control method based on biological prevention and control technology and big data, and aims to solve the problem that in the existing forestry technology, pest data cannot be analyzed so as to make forestry prevention and control measures.
in order to achieve the purpose, the invention provides a forestry pest control method based on biological control technology and big data, which comprises the following steps:
Acquiring pest data of a forest land of a preset area in a preset mode;
Judging whether the pest occurrence area of the forest land exceeds a preset value according to the pest data;
When the pest occurrence area of the forest land exceeds a preset value, starting a first pest prevention and control program for the forest land to execute biological prevention and control measures;
and when the pest occurrence area of the forest land does not exceed a preset value, starting a second pest prevention and control program for the forest land to execute biological disaster prevention measures.
Preferably, the step of acquiring pest data of the forest land of the preset area in a preset manner includes:
acquiring historical pest data and real-time pest data acquired in at least one of text data, unmanned aerial vehicle monitoring, field investigation and standard investigation;
and comparing the historical pest data with the real-time pest data to determine the corresponding actual pest type and actual pest occurrence area.
preferably, the step of judging whether the area of the forest land where the harmful organisms occur exceeds a preset value according to the harmful organism data includes:
Acquiring edge coordinates of an actual pest occurrence area in the forest land through a positioning device;
determining the area of the actual pest occurrence area according to the edge coordinates;
and comparing the actual pest occurrence area with the preset value, and judging whether the actual pest occurrence area of the forest land exceeds the preset value.
Preferably, the step of starting a first pest control program for the forest land to perform a biological control measure when the pest emergence area of the forest land exceeds a preset value includes:
when the pest occurrence area of the forest land exceeds a preset value, comparing historical pest data with real-time pest data to determine a first pest frequently-occurring area and a first pest sporadic area;
And performing biological natural enemy control measures according to the first natural enemy release amount and/or performing bionic preparation control measures according to the first pesticide spraying amount according to the first pest common-occurring area and the first pest accidental-occurring area.
preferably, the step of starting a second pest control program for the forest land to perform a biological disaster prevention measure when the pest occurrence area of the forest land does not exceed a preset value includes:
when the pest occurrence area of the forest land does not exceed a preset value, comparing historical pest data with real-time pest data to determine a pest decline area, a second pest frequent area and a second pest accidental area;
and performing biological natural enemy control measures according to a second natural enemy release amount and/or bionic preparation control measures according to a second pesticide spraying amount according to the pest diminishment area, the second pest common-occurring area and the second pest accidental area, wherein the second natural enemy release amount is smaller than the first natural enemy release amount, and the second pesticide spraying amount is smaller than the first pesticide spraying amount.
Preferably, the forestry pest control method based on biological control technology and big data further comprises:
Acquiring a pest control report containing a pest control program;
Uploading the biocontrol report to a data platform;
Obtaining an auditing result fed back by the data platform;
And when the audit result is that the audit is passed, executing the pest prevention and control program.
Preferably, after the step of starting a first pest control program to perform a biological control measure on the forest land when the pest occurrence area of the forest land exceeds a preset value, or the step of starting a second pest control program to perform a biological disaster prevention measure on the forest land when the pest occurrence area of the forest land does not exceed a preset value, the method further comprises:
and sending a management program starting forecast to the area where the forest land is located.
Preferably, the forestry pest control method based on biological control technology and big data further comprises:
Acquiring the terrain and the future weather condition of the preset area;
determining a specific control manner and a specific control time of the first pest control program or the second pest control program according to the terrain and the future weather condition.
Preferably, the step of determining a specific control manner and a specific control time of the first pest control program or the second pest control program according to the terrain and the future weather condition includes:
Judging whether the future weather belongs to the weather of wind and rain;
Stopping the prevention program when the future weather belongs to the weather;
When the future weather belongs to sunny days, judging whether the terrain belongs to a steep terrain area;
when the terrain belongs to a steep terrain area, implementing an unmanned aerial vehicle control program;
And when the terrain belongs to a gentle terrain area, implementing an unmanned aerial vehicle control program or a ground control program.
a prevention and control system applies the forestry pest prevention and control method based on biological prevention and control technology and big data.
compared with the prior art, the invention at least has the following beneficial effects:
By acquiring the pest data of the forest land, judging whether the pest occurrence area exceeds a preset value, and implementing biological control measures or biological disaster prevention measures according to the size of the pest occurrence area, the aims of accurately controlling and preventing forestry pests are achieved.
drawings
in order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the structures shown in the drawings without creative efforts.
Figure 1 is a schematic flow diagram of a first embodiment of a method of pest control in forestry according to the invention, based on biological control techniques and big data;
figure 2 is a schematic flow diagram of a second embodiment of a method of pest control in forestry according to the invention, based on biological control techniques and big data;
Figure 3 is a schematic flow diagram of a third embodiment of a method of pest control in forestry according to the invention, based on biological control techniques and big data;
the implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
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.
It should be noted that all the directional indicators (such as up, down, left, right, front, and rear … …) in the embodiment of the present invention are only used to explain the relative position relationship between the components, the movement situation, etc. in a specific posture (as shown in the drawing), and if the specific posture is changed, the directional indicator is changed accordingly.
in addition, the descriptions related to "first", "second", etc. in the present invention are only for descriptive purposes and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present invention, "a plurality" means at least two, e.g., two, three, etc., unless specifically limited otherwise.
In the present invention, unless otherwise expressly stated or limited, the terms "connected," "secured," and the like are to be construed broadly, and for example, "secured" may be a fixed connection, a removable connection, or an integral part; can be mechanically or electrically connected; they may be directly connected or indirectly connected through intervening media, or they may be connected internally or in any other suitable relationship, unless expressly stated otherwise. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
In addition, the technical solutions in the embodiments of the present invention may be combined with each other, but it must be based on the realization of those skilled in the art, and when the technical solutions are contradictory or cannot be realized, such a combination of technical solutions should not be considered to exist, and is not within the protection scope of the present invention.
with reference to fig. 1, to achieve the above object, in a first embodiment of the present invention, there is provided a method for controlling forestry pests based on biological control technology and big data, the method comprising the steps of:
s10, acquiring pest data of the forest land of the preset area in a preset mode;
S20, judging whether the pest occurrence area of the forest land exceeds a preset value according to the pest data;
s30, when the area of the forest land where the harmful organisms occur exceeds a preset value, starting a first harmful organism prevention and control program for the forest land to execute biological prevention and control measures;
and S40, when the area of the forest land where the harmful organisms occur does not exceed a preset value, starting a second harmful organism prevention and control program for the forest land to execute biological disaster situation prevention measures.
Specifically, the biological natural enemy release device and the bionic preparation spraying device can be arranged in the forest land, and at least one of the first prevention program and the second prevention program is started after the first prevention program or the second prevention program is started. The forest land can be also provided with corresponding monitoring stations, the monitoring stations periodically acquire corresponding data in the forest land in a mode of combining unmanned aerial vehicle shooting and fixed-point terminal acquisition, and upload the data to a data platform to generate pest data. The monitoring station provides supplement or replacement of the corresponding bionic preparation and the corresponding biological natural enemies to the biological natural enemy release device and the bionic preparation spraying device.
in one embodiment, the pest data includes a type of pest, an occurrence area, a pest occurrence period, and a pest outbreak degree; and corresponding format documents are arranged in the data platform, the types, the occurrence areas, the pest occurrence periods and the pest outbreak degrees of pests are recorded into the format documents, pest data of corresponding time periods are formed, the consistency of the pest data is ensured, the historical tracking of the pest data of each monitored forest land during the use period of the data platform is facilitated, and therefore a pest database of the corresponding forest land is established.
By acquiring the pest data of the forest land, judging whether the pest occurrence area exceeds a preset value, and implementing biological control measures or biological disaster prevention measures according to the size of the pest occurrence area, the aims of accurately controlling and preventing forest pest outbreak are achieved.
referring to fig. 2, in a first embodiment of the method for controlling forest harmful organisms based on biological control technology and big data of the present invention, and in a second embodiment of the method for controlling forest harmful organisms based on biological control technology and big data of the present invention, step S10 includes:
S11, obtaining historical pest data and real-time pest data obtained by at least one of text data, unmanned aerial vehicle monitoring, field investigation and standard investigation;
and S12, comparing the historical pest data with the real-time pest data to determine the corresponding actual pest type and actual pest occurrence area.
Specifically, the text data comprises a monitoring log generated by the monitoring station according to periodic data, and pest outbreak historical literature data acquired by network docking of the monitoring log and relevant functional departments of the area (for example, city or county) where the forest land is located; the unmanned aerial vehicle monitoring comprises pictures shot by the unmanned aerial vehicle during regular cruising; the field inspection comprises the steps that data collected by a corresponding collecting device are acquired by a worker according to a ground inspection route formulated by a data platform; standard investigations involve multiple repeat investigations of unrecorded or unmonitored pest species within the target area.
Format documents corresponding to the text data, unmanned aerial vehicle monitoring, field investigation and standard ground investigation are also arranged in the data platform, and corresponding data are uploaded to the data platform to generate actual pest species records and actual pest occurrence area records in the same format.
Referring to fig. 3, in a third embodiment of the method for controlling forest pests based on biological control technology and big data according to the second embodiment of the method for controlling forest pests based on biological control technology and big data of the present invention, step S20 includes:
S21, acquiring edge coordinates of an actual pest occurrence area in the forest land through a positioning device;
S22, determining the area of the actual pest occurrence area according to the edge coordinates;
and S23, comparing the actual pest occurrence area with the preset value, and judging whether the actual pest occurrence area of the forest land exceeds the preset value.
Specifically, the positioning device can be a GPS positioning device or other positioning devices, a user patrols in a forest land by controlling the unmanned aerial vehicle, a shooting system of the unmanned aerial vehicle shoots according to the edge position of the pest occurrence area, the positioning device sends positioning data each time shooting is carried out, and the pest occurrence area is determined according to the pest occurrence area formed by a plurality of positioning data in the forest land; and determining the corresponding pest species according to the shooting contents, and determining the corresponding bionic preparation according to the corresponding pest species.
Based on the first embodiment of the method for controlling forest harmful organisms based on the biological control technology and the big data, in the fourth embodiment of the method for controlling forest harmful organisms based on the biological control technology and the big data, the step S30 includes:
S31, comparing the historical pest data with the real-time pest data when the pest occurrence area of the forest land exceeds a preset value, and acquiring a first pest frequently-occurring area and a first pest sporadic area of the real-time pest data;
And S32, performing biological natural enemy control measures according to the first natural enemy release amount and/or performing bionic preparation control measures according to the first pesticide spraying amount according to the first pest common-occurrence area and the first pest accidental-occurrence area.
Specifically, the first pest common area is a newly-appeared pest occurrence area and/or an original pest occurrence area with expansion tendency; the first pest incident area is a pest incidence area that is not expanded. The first pest prevention and control program provides a new treatment program and/or strengthens the original program for the first pest frequently-occurring area, and the first pest prevention and control program maintains the original program for the second pest frequently-occurring area.
Based on the fourth embodiment of the method for controlling forest harmful organisms based on the biological control technology and the big data, in the fifth embodiment of the method for controlling forest harmful organisms based on the biological control technology and the big data, the step S31 includes:
s33, comparing the historical pest data with the real-time pest data when the pest occurrence area of the forest land does not exceed a preset value, so as to determine a pest decline area, a second pest common area and a second pest accidental area;
S34, according to the pest subsidence area, the second pest common area and the second pest accidental area, performing biological natural enemy control measures according to the second natural enemy release amount, and/or performing bionic preparation control measures according to the second pesticide spraying amount, wherein the second natural enemy release amount is less than the first natural enemy release amount, and the second pesticide spraying amount is less than the first pesticide spraying amount;
specifically, the first pest control program and the second pest control program both use a biological natural enemy control measure and a biomimetic formulation control measure, which are distinguished by differences in the amounts used. The first pest control program is to put biological natural enemies and bionic preparations into the pest control program in a large batch in a short time (such as 24 hours) to prevent the pests from spreading in a large area; the second pest control program is to fine-tune a predetermined pest control program without adjusting the original putting time.
Specifically, the second pest common area is a newly-appeared pest occurrence area and/or an original pest occurrence area with an expansion trend; the second pest incident area is a pest occurrence area without expansion; a pest-reduced area is a pest-occuring area of reduced physical area.
In a sixth embodiment of the method for controlling pests based on biological control technology and big data of the present invention, the method for controlling pests based on biological control technology and big data further includes:
S50, acquiring a pest control report containing a pest control program;
S60, uploading the biological prevention and control report to a data platform;
S70, obtaining an auditing result fed back by the data platform;
and S80, when the audit result is that the audit is passed, executing a pest prevention and control program.
specifically, the audit result is audited by an administrator corresponding to the forest land (the administrator refers to an owner or a related functional department of the corresponding forest land); the pest prevention and control report is displayed on a terminal used for receiving data of the data platform by an administrator, and when the administrator selects to receive the pest prevention and control report, the pest prevention and control report stops being displayed on the corresponding terminal; when the administrator does not receive the pest control report, the pest control report is kept in a state of being always displayed on the terminal, so that the administrator can timely acquire the pest control report
Specifically, the pest control report is provided with a corresponding calling short number, and the data platform is used for carrying out video and/or audio communication with a responsible person corresponding to the pest control report, so that the client can know pest data in a forest land more clearly.
Specifically, the pest control program comprises a first pest control program and a second pest control program, and the pest control program judges the first pest control program and the second pest control program according to whether the pest occurrence area exceeds a preset value.
Based on the first to sixth embodiments of the method for controlling forest harmful organisms based on biological control technology and big data of the invention, in the seventh embodiment of the method for controlling forest harmful organisms based on biological control technology and big data of the invention, after step S30 or step 40, the method further comprises:
And S90, sending a management program starting forecast to the area where the forest land is located.
specifically, the forecast sent to the monitoring station when the first pest prevention and control program is started in the starting forecast of the treatment program, and the forecast reminding is sent to residents and passengers possibly appearing around the forest land through the monitoring station, so that unnecessary disputes are avoided by reminding the residents around to pay attention to the covering of the water well and avoiding poultry and bees in the pest treatment process.
In an eighth embodiment of the method for controlling pests based on biological control technology and big data according to the first to sixth embodiments of the method for controlling pests based on biological control technology and big data according to the present invention, the method for controlling pests based on biological control technology and big data further comprises:
s100, acquiring a preset area and a future weather condition;
And S110, determining a specific control mode and specific control time of the first pest control program or the second pest control program according to the terrain and the future weather condition.
Based on the eight embodiments of the method for controlling forest harmful organisms based on the biological control technology and the big data, in the ninth embodiment of the method for controlling forest harmful organisms based on the biological control technology and the big data, the step S110 includes:
s111, judging whether the future weather belongs to the weather of wind and rain;
S112, stopping performing a prevention and control program when the future weather belongs to the weather;
s113, judging whether the terrain belongs to a steep terrain area or not when the future weather belongs to a sunny day;
S114, when the terrain belongs to a steep terrain area, implementing an unmanned aerial vehicle control program;
And S115, when the terrain belongs to a gentle terrain area, implementing an unmanned aerial vehicle prevention and control program or a ground prevention and control program.
Specifically, in rainy days, the rainwater reduces the activity of the bionic preparation, dilutes the concentration of the bionic preparation and influences the use of the bionic preparation; in wind, the use of the unmanned aerial vehicle or the helicopter is influenced, and safety problems may occur; the use of a fixed unmanned aerial vehicle or a helicopter avoids weather as much as possible.
The relief areas mainly pass through biological natural enemy release devices and bionic preparation spraying devices, and when pests are newly appeared and workers can reach the relief areas, the biological natural enemy release devices and the bionic preparation spraying devices are arranged in the relief areas; when a biological natural enemy release device and a bionic preparation spraying device are used, whether supplement is needed or not needs to be monitored, and the supplement needs to be implemented in sunny days; the general unmanned aerial vehicle prevention and control or helicopter prevention and control are carried out in steep terrain areas, the biological natural enemy release device and the bionic preparation spraying device are not easy to prevent, control and supplement in the steep terrain areas, and the unmanned aerial vehicle prevention and control or helicopter prevention and control are selected in the steep terrain areas according to the problems of safety and economic cost.
furthermore, a control area for carrying out unmanned aerial vehicle control programs in the preset area can be determined according to forest pest data, designated flying points are selected from the preset unmanned aerial vehicle flying points to take off according to the number and the size (such as area, width and length) of the control area, and the most economical unmanned aerial vehicle flight scheme is calculated, so that the economic and effective unmanned aerial vehicle control scheme is realized.
Specifically, a release mapping relation table of the natural enemies of the pests is prestored in the data platform, for example:
| biological natural enemy | Pest species | Biological natural enemy | pest species |
| Dastarcus helophoroides | Monochamus alternatus hope | predatory mites | Tetranychus urticae |
| Trichogramma | pine moth | apis cerana Fabricius | Lepidoptera and coleoptera pest eggs |
| Armoracia chinensis | tobacco defoliating pest | fly larvae | lepidoptera and Coleoptera larvae |
| ladybug | aphids | cyamopsis variegata | larva or pupa of scale insect |
| chouioia cunea (Merr.) Kuntze | lepidoptera pest egg | grandis wax | Bark beetle |
| Bee for swelling legs | larva of trunk borer | Small jumping bee | lepidoptera pest egg |
| Mantis | lepidoptera larva | Beauveria bassiana (Vuill.) Vuill | broad-spectrum fungus |
| stinkbug | Larva of diabrotica and Lepidoptera | Cytoplasmic polyhedrosis virus | Pine moth larva |
| Coconut shell vein-intercepting bramble | onychium pest egg | Entomopathogenic nematodes | Soil-dwelling and boring insects |
| Green lacewing | coccid | american white moth virus | white moth |
And determining the type and the number of the natural enemies of the pests according to the types of the pests in the pest data or the combination of the types and the outbreak degrees of the pests.
in addition, in order to achieve the purpose, the invention also provides a prevention and control system, and the prevention and control system applies the forest pest prevention and control method based on the biological prevention and control technology and the big data. Since the technical solution of the prevention and control system of this embodiment at least includes all technical solutions of the above-mentioned forestry pest prevention and control method embodiments based on biological control technology and big data, at least all technical effects of the above embodiments are achieved, and no further description is given here.
In the description herein, references to the description of the term "one embodiment," "another embodiment," or "first through xth embodiments," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, method steps, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
It should be noted that, in this document, 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. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments. Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal (such as a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.
While the present invention has been described with reference to the embodiments shown in the drawings, the present invention is not limited to the embodiments, which are illustrative and not restrictive, and it will be apparent to those skilled in the art that various changes and modifications can be made therein without departing from the spirit and scope of the invention as defined in the appended claims.
Claims (10)
1. a forestry pest prevention and control method based on biological prevention and control technology and big data is characterized by comprising the following steps:
Acquiring pest data of a forest land of a preset area in a preset mode;
judging whether the pest occurrence area of the forest land exceeds a preset value according to the pest data;
When the pest occurrence area of the forest land exceeds a preset value, starting a first pest prevention and control program for the forest land to execute biological prevention and control measures;
And when the pest occurrence area of the forest land does not exceed a preset value, starting a second pest prevention and control program for the forest land to execute biological disaster prevention measures.
2. A method as claimed in claim 1, wherein the step of obtaining pest data of forest land in a preset area by a preset mode comprises:
Acquiring historical pest data and real-time pest data acquired in at least one of text data, unmanned aerial vehicle monitoring, field investigation and standard investigation;
and comparing the historical pest data with the real-time pest data to determine the corresponding actual pest type and actual pest occurrence area.
3. a method as claimed in claim 2, wherein the step of determining whether the area of the forest land where the pests are generated exceeds a preset value according to the pest data comprises:
acquiring edge coordinates of an actual pest occurrence area in the forest land through a positioning device;
determining the area of the actual pest occurrence area according to the edge coordinates;
And comparing the actual pest occurrence area with the preset value, and judging whether the actual pest occurrence area of the forest land exceeds the preset value.
4. A method as claimed in claim 1, wherein the step of activating a first pest control program to the forest land to perform a biological control measure when the pest occurrence area of the forest land exceeds a preset value comprises:
When the pest occurrence area of the forest land exceeds a preset value, comparing historical pest data with real-time pest data to determine a first pest frequently-occurring area and a first pest sporadic area;
And performing biological natural enemy control measures according to the first natural enemy release amount and/or performing bionic preparation control measures according to the first pesticide spraying amount according to the first pest common-occurring area and the first pest accidental-occurring area.
5. A method as claimed in claim 4, wherein the step of implementing a second pest control program to the forest land to perform biological disaster prevention measures when the pest occurrence area of the forest land does not exceed a preset value comprises:
When the pest occurrence area of the forest land does not exceed a preset value, comparing historical pest data with real-time pest data to determine a pest decline area, a second pest frequent area and a second pest accidental area;
And performing biological natural enemy control measures according to a second natural enemy release amount and/or bionic preparation control measures according to a second pesticide spraying amount according to the pest diminishment area, the second pest common-occurring area and the second pest accidental area, wherein the second natural enemy release amount is smaller than the first natural enemy release amount, and the second pesticide spraying amount is smaller than the first pesticide spraying amount.
6. The method of claim 1, wherein the method further comprises:
Acquiring a pest control report containing a pest control program;
Uploading the biocontrol report to a data platform;
obtaining an auditing result fed back by the data platform;
And when the audit result is that the audit is passed, executing the pest prevention and control program.
7. a method as claimed in any one of claims 1 to 6, wherein after the step of activating a first pest control program to the forest land to perform a biological control measure when the pest occurrence area of the forest land exceeds a preset value, or the step of activating a second pest control program to the forest land to perform a biological disaster prevention measure when the pest occurrence area of the forest land does not exceed a preset value, the method further comprises:
And sending a management program starting forecast to the area where the forest land is located.
8. the method for controlling forestry pests based on biological control technology and big data as claimed in any one of claims 1-6, wherein the method for controlling forestry pests based on biological control technology and big data further comprises:
acquiring the terrain and the future weather condition of the preset area;
Determining a specific control manner and a specific control time of the first pest control program or the second pest control program according to the terrain and the future weather condition.
9. a method of forestry pest control based on biological control technology and big data according to claim 8, wherein the step of determining the specific control mode and specific control time of the first pest control program or the second pest control program according to the terrain and the future weather conditions comprises:
judging whether the future weather belongs to the weather of wind and rain;
Stopping the prevention program when the future weather belongs to the weather;
when the future weather belongs to sunny days, judging whether the terrain belongs to a steep terrain area;
When the terrain belongs to a steep terrain area, implementing an unmanned aerial vehicle control program;
and when the terrain belongs to a gentle terrain area, implementing an unmanned aerial vehicle control program or a ground control program.
10. a prevention and control system characterized in that it applies a forestry pest prevention and control method based on biological control technology and big data as claimed in any one of claims 1 to 9.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910984947.3A CN110574611A (en) | 2019-10-16 | 2019-10-16 | Forestry pest prevention and control method and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
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| CN113592214A (en) * | 2021-05-25 | 2021-11-02 | 红火蚁科技有限公司 | Method and system for cloud collection, prevention and control of pests, electronic equipment and storage medium |
| CN114063686A (en) * | 2021-11-15 | 2022-02-18 | 宁夏农林科学院植物保护研究所（宁夏植物病虫害防治重点实验室） | Agricultural pest monitoring and early warning method |
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