CN117973702A - Wisdom agricultural pest information acquisition sharing system - Google Patents
Wisdom agricultural pest information acquisition sharing system Download PDFInfo
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- CN117973702A CN117973702A CN202410372036.6A CN202410372036A CN117973702A CN 117973702 A CN117973702 A CN 117973702A CN 202410372036 A CN202410372036 A CN 202410372036A CN 117973702 A CN117973702 A CN 117973702A
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- 241000607479 Yersinia pestis Species 0.000 title claims abstract description 561
- 238000012502 risk assessment Methods 0.000 claims abstract description 75
- 230000000694 effects Effects 0.000 claims abstract description 71
- 238000009434 installation Methods 0.000 claims abstract description 30
- 238000004458 analytical method Methods 0.000 claims description 57
- 238000012545 processing Methods 0.000 claims description 56
- 238000011156 evaluation Methods 0.000 claims description 51
- 238000012216 screening Methods 0.000 claims description 38
- 238000009826 distribution Methods 0.000 claims description 9
- 238000007726 management method Methods 0.000 claims description 8
- 238000010586 diagram Methods 0.000 claims description 7
- 238000007781 pre-processing Methods 0.000 claims description 7
- 230000007547 defect Effects 0.000 abstract description 6
- 238000000034 method Methods 0.000 description 15
- 238000007792 addition Methods 0.000 description 1
- 238000012271 agricultural production Methods 0.000 description 1
- 238000013459 approach Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A40/00—Adaptation technologies in agriculture, forestry, livestock or agroalimentary production
- Y02A40/10—Adaptation technologies in agriculture, forestry, livestock or agroalimentary production in agriculture
- Y02A40/25—Greenhouse technology, e.g. cooling systems therefor
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Abstract
The invention discloses an intelligent agricultural pest information acquisition sharing system, which relates to the technical field of intelligent agriculture, and comprises the following steps: the invention overcomes the defect of low attention to the body type profile of pests for planting crops in the greenhouse in the prior art, improves the accuracy of pest risk assessment in the greenhouse, further ensures the effectiveness of subsequent pest management decisions on the greenhouse, further ensures the pest management effect of the greenhouse, further ensures the installation suitability of the greenhouse treatment device, further ensures the scientificity and effectiveness of pest management in the greenhouse, reduces the possibility of damage to crops planted in the greenhouse, reduces the negative influence on the yield and quality of crops in the greenhouse and improves the benefit of the greenhouse.
Description
Technical Field
The invention relates to the technical field of intelligent agriculture, in particular to an intelligent agricultural pest information acquisition and sharing system.
Background
Conventional agricultural production faces a number of challenges, where pest control is a long and tricky problem. Greenhouse planting is becoming more popular nowadays, and the greenhouse planting often has pests harmful to crops, and in the traditional greenhouse pest control, farmers usually rely on experience to judge pest occurrence and control time. However, this approach is often not accurate enough and not timely enough. By monitoring the pest situation in the farm field in real time, the trace of the pest can be found in time and shared, and large-scale outbreak of the pest is prevented, so that the collection and sharing of the information of the agricultural pest are extremely necessary.
The collection and sharing of the agricultural pest information in the prior art can meet the current requirements to a certain extent, but certain defects exist, and the method is specifically implemented in the following layers: (1) In the prior art, the risk of pests in the greenhouse is evaluated, the attention degree of the body type profile of the pests for planting crops in the greenhouse is not high, the body type profile of the pests for planting crops in the greenhouse shows the growth period of the pests for planting crops in the greenhouse, the growth periods of the pests are different, the damage force to the plants in the greenhouse is inconsistent, the damage force to the plants in the greenhouse is neglected in the prior art, the accuracy of pest risk evaluation in the greenhouse is not high, the effectiveness of subsequent pest control decisions on the greenhouse is affected, and therefore the effect of greenhouse pest control is difficult to guarantee.
(2) In the prior art, the attention degree of the installation area planning diagram of the processing device in the greenhouse is not high, other greenhouse related information can provide precious reference comments for the related processing of the current greenhouse, the suitability of the installation of the processing device in the greenhouse is difficult to guarantee due to the neglect of the aspect in the prior art, the scientificity and the effectiveness of pest control in the greenhouse are further influenced, the possibility that crops planted in the greenhouse are damaged by pests is increased, the yield and the quality of the crops in the greenhouse are negatively influenced, and the benefit of the greenhouse is influenced.
Disclosure of Invention
The invention aims to provide a smart agricultural pest information acquisition sharing system which solves the problems existing in the background technology.
In order to solve the technical problems, the invention adopts the following technical scheme: the invention provides an intelligent agricultural pest information acquisition sharing system, which comprises: the pest information acquisition module is used for meshing the greenhouse to obtain each subarea in the greenhouse, and installing the internet of things pest condition acquisition device in each subarea in the greenhouse to acquire pest information of each subarea in the greenhouse, wherein the pest information comprises the body type profile of each pest corresponding to each pest.
And the pest information analysis module in the greenhouse is used for analyzing pest risk assessment indexes corresponding to all subareas in the greenhouse.
The pest information preprocessing analysis module in the greenhouse is used for extracting pest risk assessment indexes corresponding to all subareas in other greenhouses from the web database, acquiring pest processing information and pest treatment effect data of the other greenhouses, and further analyzing the processing type, processing duration and installation area planning map of the processing device of the greenhouses.
And the pest treatment module in the greenhouse is used for carrying out pest treatment on the greenhouse according to the treatment type, the treatment duration and the installation area planning diagram of the treatment device.
And the pest control effect analysis module in the greenhouse is used for collecting pest information of all subregions in the greenhouse after the greenhouse pests are treated, so as to analyze pest control effect evaluation indexes of the greenhouse.
And the processing terminal is used for judging whether the pest control effect of the greenhouse meets the standard, if the pest control effect does not meet the standard, analyzing a matched pest control expert of the greenhouse, pushing the matched pest control expert to a manager of the greenhouse, and uploading pest treatment information, pest control effect evaluation indexes and pest risk evaluation indexes of all the inner subareas of the greenhouse to the agricultural pest information acquisition sharing platform.
Preferably, the pest treatment information includes a treatment type including pest trapping, killing and pest scattering, a treatment duration, and an installation area plan of the treatment device, and the pest control effect data includes the number of each pest type after control of each sub-area inside.
Preferably, the specific analysis method for analyzing pest risk assessment indexes corresponding to each subarea in the greenhouse comprises the following steps: extracting the body type outline of each pest corresponding to each pest from pest information of each subarea in the greenhouse.
The crop types planted in the greenhouse are extracted from the web database, and each reference pest type of each crop type is extracted from the web database, so that each corresponding reference pest type in the greenhouse is screened.
Comparing each pest type of each subarea in the greenhouse with each reference pest type, and screening each threat pest type of each subarea in the greenhouse.
Based on the types of the threatening pests in each subarea in the greenhouse, analyzing pest damage force evaluation indexes of each subarea in the greenhouse by combining the body type profile of each pest type in each subarea in the greenhouseWherein/>For each sub-region numbering,/>，/>Is any integer greater than 2.
Based on each pest of each pest type in each subarea in the greenhouse, counting the pest number of each pest threat type in each subarea in the greenhouseWherein/>Numbering of threat pest types,/>，/>Is any integer greater than 2, and counts the number/>, of threat pest types of all subareas in the greenhouseComprehensively analyzing pest risk assessment indexes/>, corresponding to all subareas in greenhouseWherein/>Is the predefined greenhouse interior/>The number of permissible presence of the mth threat pest type of the sub-region,/>For the number of permissible threat pest types stored in the web database,/>、/>、/>The influence weight factors are respectively expressed as pest damage force, the number of pests threatening the pest type and the corresponding number of the threatening pest type.
Preferably, the pest damage evaluation index of each subarea inside the analysis greenhouseThe specific analysis method comprises the following steps: based on the body type outline of each pest in each subarea in the greenhouse, the body type outline of each pest is extracted from each threat pest type in each subarea in the greenhouse.
The method comprises the steps of extracting the damage value of each reference pest type of each crop type in each reference body type outline from a web database, combining the crop types planted in the greenhouse, screening the damage value of each reference pest type in each reference body type outline in the greenhouse, and extracting the damage value of each threat pest type in each sub-area in the greenhouse in each reference body type outline.
Analyzing the similarity of the body type profile of each pest belonging to each threat pest type in each subarea in the greenhouse and each reference body type profile, if the similarity of the body type profile of each pest belonging to a certain threat pest type in a certain subarea in the greenhouse and a certain reference body type profile is the largest, recording the reference body type profile as an example body type profile of the pest, and acquiring the damage value of the pest, thereby counting the damage value of each pest belonging to each threat pest type in each subarea in the greenhouse.
The damage value of each pest belonging to each threat pest type in each subarea in the greenhouse is subjected to average treatment to obtain the average damage value of each subarea in the greenhouse, and the average damage value is used as a pest damage force evaluation index of each subarea in the greenhouse。
Preferably, the method for analyzing the treatment type of the greenhouse comprises the following steps: extracting pest risk assessment indexes corresponding to all subareas in all other greenhousesWherein/>Numbering for each other greenhouse-，/>Is any integer greater than 2,/>Numbering each subarea in other greenhouses,/>，/>Screening the corresponding maximum pest risk assessment index/>, in each other greenhouse, for any integer greater than 2And minimum pest risk assessment index/>。
Pest risk assessment index combined with each subarea inside greenhouseScreening the maximum pest risk assessment index/>, inside the greenhouseAnd minimum pest risk assessment index/>Analyzing the similarity between the greenhouse and each other greenhouseWherein/>Is the number of subregions in the greenhouse,/>Is the number of subregions in other greenhouses.
Screening similar greenhouses corresponding to the greenhouses, analyzing treatment effect evaluation indexes of other greenhouses based on pest treatment effect data of other greenhouses, and extracting treatment effect evaluation indexes of similar greenhouses corresponding to the greenhouses.
Comparing the treatment effect evaluation indexes of the greenhouses corresponding to the similar greenhouses with each other, if the treatment effect evaluation index of the greenhouse corresponding to a similar greenhouse is the largest, marking the similar greenhouse as a matched greenhouse, extracting the treatment type from pest treatment information of other greenhouses, obtaining the treatment type of the greenhouse corresponding to the matched greenhouse, and taking the treatment type as the treatment type of the greenhouse.
Preferably, the analysis of the treatment effect evaluation index of each other greenhouse comprises the following specific analysis methods: extracting the number of the pests of each pest type after the pest control of each sub-area in each other greenhouse from pest control effect data of each other greenhouse, extracting the crop types planted in each other greenhouse from a web database, extracting each reference pest type of each crop type from the web database, and further screening each reference pest type corresponding to each other greenhouse.
Comparing the pest types of all subareas in all other greenhouses with the reference pest types, screening all threat pest types of all subareas in all other greenhouses, and obtaining the pest numbers of all threat pest types after the treatment of all subareas in all other greenhousesWherein/>Numbering the types of the threat pests after the treatment of the subareas in other greenhouses,，/>Analyzing the treatment effect evaluation index of each other greenhouse for any integer greater than 2Wherein/>For predefined/>Interior of other greenhouse/>First/>, of sub-regionThe permissible number of individual threat pest types.
Preferably, the analyzing method for analyzing the processing time of the greenhouse comprises the following steps: and extracting the processing time length from pest processing information of each other greenhouse, acquiring the processing time length of the greenhouse corresponding to the matched greenhouse, and taking the processing time length as the initial processing time length of the greenhouse.
And carrying out average treatment on pest risk assessment indexes corresponding to all subareas in the greenhouse to obtain pest risk assessment index average values corresponding to the greenhouse, and carrying out average treatment on pest risk assessment indexes corresponding to all subareas in the matched greenhouse to obtain pest risk assessment index average values corresponding to the matched greenhouse.
Subtracting the pest risk assessment index mean value of the matched greenhouse from the pest risk assessment index mean value of the greenhouse to obtain a pest risk assessment index mean value difference value of the greenhouse and the matched greenhouse, and screening the corresponding compensation treatment duration of the greenhouse by combining pest risk assessment index mean value difference value intervals corresponding to the compensation treatment durations stored in the web database.
And adding the initial processing time length and the compensation processing time length of the greenhouse to obtain the processing time length of the greenhouse.
Preferably, the method for analyzing the layout of the installation area of the processing device of the greenhouse specifically includes: based on pest risk assessment indexes of all subareas in other greenhouses, combining pest risk assessment indexes of all subareas in the greenhousesAcquiring pest risk assessment indexes of all subareas in the greenhouse and pest risk assessment indexes/>, corresponding to the subareas in other greenhousesFurther analyzing the similarity value/>, of the internal pest distribution areas of the greenhouse and other greenhouses。
Screening other greenhouses with the same treatment type as the greenhouses, marking the greenhouse as the proper greenhouses, extracting the similarity value of the internal pest distribution areas of the greenhouses and the proper greenhouses, comparing the similarity value with each other, and if the similarity value of the internal pest distribution areas of the greenhouses and the proper greenhouses is the largest, acquiring the installation area planning map of the treatment device from the pest treatment information of the proper greenhouses, acquiring the installation area planning map of the treatment device of the proper greenhouses, and taking the installation area planning map as the installation area planning map of the treatment device of the greenhouses.
Preferably, the specific analysis method of the matched pest management expert of the analysis greenhouse comprises the following steps: obtaining each proper pest treatment type corresponding to each pest control expert from an agricultural pest information acquisition and sharing platform, comparing each threat pest type of each subarea in the greenhouse with each proper pest treatment type corresponding to each pest control expert, and screening each matched pest type corresponding to each pest control expert.
Counting the number of the matched pest types of each pest control expert, arranging each pest control expert according to the sequence from the large number to the small number of the matched pest types, selecting the pest control expert at the first position, and taking the pest control expert as the matched pest control expert of the greenhouse.
The invention has the beneficial effects that: (1) According to the pest risk assessment method, pest information in the greenhouse is collected in the pest information collection module in the greenhouse, and data support is provided for analysis of pest risk assessment indexes corresponding to all subareas in the greenhouse.
(2) According to the invention, the pest damage force evaluation indexes of all the subareas in the greenhouse are analyzed through the body type profile of the pests in the greenhouse in the pest information analysis module, and then the pest risk evaluation indexes of all the subareas in the greenhouse are comprehensively analyzed by combining the number of threat pest types and the number of the pests in all the subareas in the greenhouse, so that the defect of low attention to the body type profile of the pests for planting crops in the greenhouse in the prior art is overcome, the accuracy of pest risk evaluation in the greenhouse is improved, the effectiveness of subsequent pest treatment decisions on the greenhouse is further ensured, and the pest treatment effect of the greenhouse is further ensured.
(3) According to the invention, the processing type, the processing time length and the installation area planning diagram of the processing device of the greenhouse are analyzed through the related information of other greenhouses in the greenhouse pest information preprocessing analysis module, the defect of low attention on the aspect in the prior art is overcome, the installation suitability of the processing device in the greenhouse is ensured, the scientificity and the effectiveness of pest management in the greenhouse are further ensured, the possibility of damage of crops planted in the greenhouse by pests is reduced, the negative influence on the yield and the quality of crops in the greenhouse is reduced, and the benefit of the greenhouse is improved.
(4) According to the pest control system, the greenhouse is treated in the pest treatment module in the greenhouse, so that the risk of damage of pests in the greenhouse to planted crops is reduced, and the normal growth of the planted crops in the greenhouse is ensured.
(5) According to the invention, after the pest treatment in the greenhouse is finished, the pest treatment effect analysis module analyzes the pest treatment effect evaluation index of the greenhouse according to the treated pest related data, so that the pest treatment effect in the greenhouse is ensured.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of the system structure of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, the present invention provides a smart agricultural pest information collection sharing system, comprising: pest information acquisition module in the canopy, pest information analysis module in the canopy, pest information preprocessing analysis module in the canopy, pest processing module in the canopy, pest treatment effect analysis module in the canopy and processing terminal.
It should be noted that the invention also includes a web database for storing pest risk assessment indexes corresponding to sub-areas in each other greenhouse, storing pest treatment information and pest treatment effect data of each other greenhouse, storing crop types planted in the greenhouse, each reference pest type of each crop type, storing the number of allowed threat pest types, storing the damage value of each reference pest type of each crop type in each reference body type profile, storing crop types planted in each other greenhouse, and storing pest risk assessment index mean value difference intervals corresponding to each compensation treatment duration.
The pest information collection module is connected with the pest information analysis module in the greenhouse, the pest information analysis module in the greenhouse is connected with the pest information pretreatment analysis module in the greenhouse, the pest information pretreatment analysis module in the greenhouse is connected with the pest treatment module in the greenhouse, the pest treatment module in the greenhouse is connected with the pest treatment effect analysis module in the greenhouse, the pest treatment effect analysis module in the greenhouse is connected with the treatment terminal, and the web database is respectively connected with the pest information analysis module in the greenhouse and the pest information pretreatment analysis module in the greenhouse.
The pest information acquisition module is used for meshing the greenhouse to obtain each subarea in the greenhouse, and installing the internet of things pest condition acquisition device in each subarea in the greenhouse to acquire pest information of each subarea in the greenhouse, wherein the pest information comprises the body type profile of each pest corresponding to each pest.
According to the pest risk assessment method, pest information in the greenhouse is collected in the pest information collection module in the greenhouse, and data support is provided for analysis of pest risk assessment indexes corresponding to all subareas in the greenhouse.
And the pest information analysis module in the greenhouse is used for analyzing pest risk assessment indexes corresponding to all subareas in the greenhouse.
In a specific embodiment of the invention, the pest risk assessment index corresponding to each subarea inside the greenhouse is analyzed by the specific analysis method that: extracting the body type outline of each pest corresponding to each pest from pest information of each subarea in the greenhouse.
The crop types planted in the greenhouse are extracted from the web database, and each reference pest type of each crop type is extracted from the web database, so that each corresponding reference pest type in the greenhouse is screened.
Comparing each pest type of each subarea in the greenhouse with each reference pest type, and screening each threat pest type of each subarea in the greenhouse.
The method for screening the types of the threat pests in each subarea in the greenhouse comprises the following specific steps: if the matching of a certain pest type of a certain subarea in the greenhouse with a certain reference pest type is successful, the pest type is marked as a threat pest type, and then each threat pest type of each subarea in the greenhouse is obtained.
Based on the types of the threatening pests in each subarea in the greenhouse, analyzing pest damage force evaluation indexes of each subarea in the greenhouse by combining the body type profile of each pest type in each subarea in the greenhouseWherein/>For each sub-region numbering,/>，/>Is any integer greater than 2.
Based on each pest of each pest type in each subarea in the greenhouse, counting the pest number of each pest threat type in each subarea in the greenhouseWherein/>Numbering of threat pest types,/>，/>Is any integer greater than 2, and counts the number/>, of threat pest types of all subareas in the greenhouseComprehensively analyzing pest risk assessment indexes/>, corresponding to all subareas in greenhouseWherein/>Is the predefined greenhouse interior/>The number of permissible presence of the mth threat pest type of the sub-region,/>For the number of permissible threat pest types stored in the web database,/>、/>、/>The influence weight factors are respectively expressed as pest damage force, the number of pests threatening the pest type and the corresponding number of the threatening pest type.
It should be noted that, the allowable existence quantity of each threat pest type in each subarea inside the predefined greenhouse is as follows: obtaining the allowable existence quantity of each crop type corresponding to each reference pest type from the web database, further combining the crop types planted in the greenhouse, screening the allowable existence quantity of each reference pest type in the greenhouse, and further extracting the allowable existence quantity of each threat pest type in each subarea in the greenhouse。
It is also noted that the、/>、/>The values of (2) are all 0 to 1.
In the specific embodiment of the invention, the pest damage evaluation index of each subarea inside the greenhouse is analyzedThe specific analysis method comprises the following steps: based on the body type outline of each pest in each subarea in the greenhouse, the body type outline of each pest is extracted from each threat pest type in each subarea in the greenhouse.
The method comprises the steps of extracting the damage value of each reference pest type of each crop type in each reference body type outline from a web database, combining the crop types planted in the greenhouse, screening the damage value of each reference pest type in each reference body type outline in the greenhouse, and extracting the damage value of each threat pest type in each sub-area in the greenhouse in each reference body type outline.
Analyzing the similarity of the body type profile of each pest belonging to each threat pest type in each subarea in the greenhouse and each reference body type profile, if the similarity of the body type profile of each pest belonging to a certain threat pest type in a certain subarea in the greenhouse and a certain reference body type profile is the largest, recording the reference body type profile as an example body type profile of the pest, and acquiring the damage value of the pest, thereby counting the damage value of each pest belonging to each threat pest type in each subarea in the greenhouse.
The similarity between the body type profile of each pest to which each threat pest type belongs in each subarea inside the greenhouse and each reference body type profile is described as follows: comparing the body type profile of each pest belonging to each threat pest type in each subarea in the greenhouse with the corresponding reference body type profile, further obtaining the superposition area of the body type profile of each pest belonging to each threat pest type in each subarea in the greenhouse with the corresponding reference body type profile, obtaining the area of each threat pest type in each subarea in the greenhouse corresponding to each reference body type profile, and further dividing the superposition area of the body type profile of each pest belonging to each threat pest type in each subarea in the greenhouse with the corresponding reference body type profile by the area of each reference body type profile to obtain the similarity of the body type profile of each pest belonging to each threat pest type in each subarea in the greenhouse with each reference body type profile.
The damage value of each pest belonging to each threat pest type in each subarea in the greenhouse is subjected to average treatment to obtain the average damage value of each subarea in the greenhouse, and the average damage value is used as a pest damage force evaluation index of each subarea in the greenhouse。
According to the invention, the pest damage force evaluation indexes of all the subareas in the greenhouse are analyzed through the body type profile of the pests in the greenhouse in the pest information analysis module, and then the pest risk evaluation indexes of all the subareas in the greenhouse are comprehensively analyzed by combining the number of threat pest types and the number of the pests in all the subareas in the greenhouse, so that the defect of low attention to the body type profile of the pests for planting crops in the greenhouse in the prior art is overcome, the accuracy of pest risk evaluation in the greenhouse is improved, the effectiveness of subsequent pest treatment decisions on the greenhouse is further ensured, and the pest treatment effect of the greenhouse is further ensured.
The pest information preprocessing analysis module in the greenhouse is used for extracting pest risk assessment indexes corresponding to all subareas in other greenhouses from the web database, acquiring pest processing information and pest treatment effect data of the other greenhouses, and further analyzing the processing type, processing duration and installation area planning map of the processing device of the greenhouses.
In a specific embodiment of the present invention, the pest treatment information includes a treatment type including pest trapping, killing and pest scattering, a treatment duration, and an installation area plan of the treatment device, and the pest control effect data includes the number of each pest type after control of each sub-area inside.
In a specific embodiment of the invention, the method for analyzing the processing type of the greenhouse comprises the following steps: extracting pest risk assessment indexes corresponding to all subareas in all other greenhousesWherein/>For the numbering of each other greenhouse,，/>Is any integer greater than 2,/>Numbering each subarea in other greenhouses,/>，/>Screening the corresponding maximum pest risk assessment index/>, in each other greenhouse, for any integer greater than 2And minimum pest risk assessment index/>。
Pest risk assessment index combined with each subarea inside greenhouseScreening the maximum pest risk assessment index/>, inside the greenhouseAnd minimum pest risk assessment index/>Analyzing the similarity between the greenhouse and each other greenhouseWherein/>Is the number of subregions in the greenhouse,/>Is the number of subregions in other greenhouses.
Screening similar greenhouses corresponding to the greenhouses, analyzing treatment effect evaluation indexes of other greenhouses based on pest treatment effect data of other greenhouses, and extracting treatment effect evaluation indexes of similar greenhouses corresponding to the greenhouses.
The concrete screening method of the similar greenhouses corresponding to the screening greenhouses is as follows: and comparing the similarity of the greenhouse and each other greenhouse with a predefined greenhouse similarity threshold, and if the similarity of the greenhouse and one other greenhouse is greater than or equal to the greenhouse similarity threshold, marking the other greenhouse as a similar greenhouse, thereby obtaining each similar greenhouse corresponding to the greenhouse.
Comparing the treatment effect evaluation indexes of the greenhouses corresponding to the similar greenhouses with each other, if the treatment effect evaluation index of the greenhouse corresponding to a similar greenhouse is the largest, marking the similar greenhouse as a matched greenhouse, extracting the treatment type from pest treatment information of other greenhouses, obtaining the treatment type of the greenhouse corresponding to the matched greenhouse, and taking the treatment type as the treatment type of the greenhouse.
In a specific embodiment of the invention, the treatment effect evaluation index of each other greenhouse is analyzed by the specific analysis method that: extracting the number of the pests of each pest type after the pest control of each sub-area in each other greenhouse from pest control effect data of each other greenhouse, extracting the crop types planted in each other greenhouse from a web database, extracting each reference pest type of each crop type from the web database, and further screening each reference pest type corresponding to each other greenhouse.
Comparing the pest types of all subareas in all other greenhouses with the reference pest types, screening all threat pest types of all subareas in all other greenhouses, and obtaining the pest numbers of all threat pest types after the treatment of all subareas in all other greenhousesWherein/>Numbering the types of the threat pests after the treatment of the subareas in other greenhouses,，/>Analyzing the treatment effect evaluation index/>, which is any integer greater than 2, of each other greenhouseWherein/>For predefined/>Interior of other greenhouse/>First/>, of sub-regionThe permissible number of individual threat pest types.
The allowable existence quantity of each threat pest type of each subarea in each other greenhouse is predefined, the allowable existence quantity of each crop type corresponding to each reference pest type is obtained from a web database, then the allowable existence quantity of each other greenhouse corresponding to each reference pest type is screened by combining the crop types planted in each other greenhouse, and then the allowable existence quantity of each threat pest type of each subarea in the greenhouse is extracted。
In a specific embodiment of the invention, the method for analyzing the processing time of the greenhouse comprises the following steps: and extracting the processing time length from pest processing information of each other greenhouse, acquiring the processing time length of the greenhouse corresponding to the matched greenhouse, and taking the processing time length as the initial processing time length of the greenhouse.
And carrying out average treatment on pest risk assessment indexes corresponding to all subareas in the greenhouse to obtain pest risk assessment index average values corresponding to the greenhouse, and carrying out average treatment on pest risk assessment indexes corresponding to all subareas in the matched greenhouse to obtain pest risk assessment index average values corresponding to the matched greenhouse.
Subtracting the pest risk assessment index mean value of the matched greenhouse from the pest risk assessment index mean value of the greenhouse to obtain a pest risk assessment index mean value difference value of the greenhouse and the matched greenhouse, and screening the corresponding compensation treatment duration of the greenhouse by combining pest risk assessment index mean value difference value intervals corresponding to the compensation treatment durations stored in the web database.
And adding the initial processing time length and the compensation processing time length of the greenhouse to obtain the processing time length of the greenhouse.
In a specific embodiment of the present invention, the method for analyzing the installation area plan of the processing device of the greenhouse specifically includes: based on pest risk assessment indexes of all subareas in other greenhouses, combining pest risk assessment indexes of all subareas in the greenhousesAcquiring pest risk assessment indexes of all subareas in the greenhouse and pest risk assessment indexes/>, corresponding to the subareas in other greenhousesFurther analyzing the similarity value of the pest distribution areas in the greenhouse and other greenhouses。
Screening other greenhouses with the same treatment type as the greenhouses, marking the greenhouse as the proper greenhouses, extracting the similarity value of the internal pest distribution areas of the greenhouses and the proper greenhouses, comparing the similarity value with each other, and if the similarity value of the internal pest distribution areas of the greenhouses and the proper greenhouses is the largest, acquiring the installation area planning map of the treatment device from the pest treatment information of the proper greenhouses, acquiring the installation area planning map of the treatment device of the proper greenhouses, and taking the installation area planning map as the installation area planning map of the treatment device of the greenhouses.
According to the invention, the processing type, the processing time length and the installation area planning diagram of the processing device of the greenhouse are analyzed through the related information of other greenhouses in the greenhouse pest information preprocessing analysis module, the defect of low attention on the aspect in the prior art is overcome, the installation suitability of the processing device in the greenhouse is ensured, the scientificity and the effectiveness of pest management in the greenhouse are further ensured, the possibility of damage of crops planted in the greenhouse by pests is reduced, the negative influence on the yield and the quality of crops in the greenhouse is reduced, and the benefit of the greenhouse is improved.
And the pest treatment module in the greenhouse is used for carrying out pest treatment on the greenhouse according to the treatment type, the treatment duration and the installation area planning diagram of the treatment device.
According to the pest control system, the greenhouse is treated in the pest treatment module in the greenhouse, so that the risk of damage of pests in the greenhouse to planted crops is reduced, and the normal growth of the planted crops in the greenhouse is ensured.
And the pest control effect analysis module in the greenhouse is used for collecting pest information of all subregions in the greenhouse after the greenhouse pests are treated, so as to analyze pest control effect evaluation indexes of the greenhouse.
The pest control effect evaluation index of the greenhouse is analyzed in accordance with the analysis method of the pest control effect evaluation index of each other greenhouse.
According to the invention, after the pest treatment in the greenhouse is finished, the pest treatment effect analysis module analyzes the pest treatment effect evaluation index of the greenhouse according to the treated pest related data, so that the pest treatment effect in the greenhouse is ensured.
And the processing terminal is used for judging whether the pest control effect of the greenhouse meets the standard, if the pest control effect does not meet the standard, analyzing a matched pest control expert of the greenhouse, pushing the matched pest control expert to a manager of the greenhouse, and uploading pest treatment information, pest control effect evaluation indexes and pest risk evaluation indexes of all the inner subareas of the greenhouse to the agricultural pest information acquisition sharing platform.
The pest control effect of the greenhouse is judged whether to reach the standard or not, and the specific judging method comprises the following steps: comparing the pest control effect evaluation index of the greenhouse with a predefined pest control effect evaluation index threshold, if the pest control effect evaluation index of the greenhouse is smaller than the pest control effect evaluation index threshold, judging that the pest control effect of the greenhouse does not reach the standard, otherwise, judging that the pest control effect of the greenhouse reaches the standard.
In a specific embodiment of the invention, the matched pest management expert of the analysis greenhouse comprises the following steps: obtaining each proper pest treatment type corresponding to each pest control expert from an agricultural pest information acquisition and sharing platform, comparing each threat pest type of each subarea in the greenhouse with each proper pest treatment type corresponding to each pest control expert, and screening each matched pest type corresponding to each pest control expert.
The specific screening method for screening each matched pest type corresponding to each pest control expert is as follows: if the type of a proper treatment pest corresponding to a pest control expert is the same as the type of a threat pest in a subarea in the greenhouse, the proper treatment pest type is marked as a matched pest type, and then each matched pest type corresponding to each pest control expert is obtained.
Counting the number of the matched pest types of each pest control expert, arranging each pest control expert according to the sequence from the large number to the small number of the matched pest types, selecting the pest control expert at the first position, and taking the pest control expert as the matched pest control expert of the greenhouse.
The foregoing is merely illustrative and explanatory of the principles of this invention, as various modifications and additions may be made to the specific embodiments described, or similar arrangements may be substituted by those skilled in the art, without departing from the principles of this invention or beyond the scope of this invention as defined in the claims.
Claims (9)
1. An intelligent agricultural pest information acquisition sharing system, comprising:
The pest information acquisition module is used for meshing the greenhouse to obtain each subarea in the greenhouse, and installing an internet of things pest condition acquisition device in each subarea in the greenhouse to acquire pest information of each subarea in the greenhouse, wherein the pest information comprises the body type profile of each pest corresponding to each pest;
the pest information analysis module in the greenhouse is used for analyzing pest risk assessment indexes corresponding to all subareas in the greenhouse;
The system comprises a greenhouse pest information preprocessing analysis module, a greenhouse pest management module and a greenhouse pest management module, wherein the greenhouse pest information preprocessing analysis module is used for extracting pest risk assessment indexes corresponding to all subareas in other greenhouses from a web database, acquiring pest treatment information and pest management effect data of all other greenhouses, and further analyzing the treatment type of the greenhouses, the treatment duration of the greenhouses and the installation area planning map of a greenhouse treatment device;
the pest treatment module in the greenhouse is used for carrying out pest treatment on the greenhouse according to the treatment type, the treatment duration and the installation area planning diagram of the treatment device of the greenhouse;
The pest control effect analysis module in the greenhouse is used for collecting pest information of all subareas in the greenhouse after the pest treatment of the greenhouse is finished, so as to analyze pest control effect evaluation indexes of the greenhouse;
the processing terminal is used for judging whether the pest control effect of the greenhouse meets the standard, if the pest control effect does not meet the standard, analyzing a matched pest control expert of the greenhouse, pushing the matched pest control expert to a manager of the greenhouse, and uploading pest treatment information, pest control effect evaluation indexes and pest risk evaluation indexes of all the inner subareas of the greenhouse to the agricultural pest information acquisition sharing platform;
the web database is used for storing pest risk assessment indexes corresponding to subareas in other greenhouses, storing pest treatment information and pest treatment effect data of other greenhouses, storing crop types planted in the greenhouses, storing the number of allowed threat pest types for each reference pest type of each crop type, storing the damage value of each reference pest type of each crop type in each reference body type profile, storing crop types planted in other greenhouses, and storing a pest risk assessment index mean value difference interval corresponding to each compensation treatment duration;
The system is characterized in that the pest information acquisition module in the greenhouse is connected with the pest information analysis module in the greenhouse, the pest information analysis module in the greenhouse is connected with the pest information pretreatment analysis module in the greenhouse, the pest information pretreatment analysis module in the greenhouse is connected with the pest treatment module in the greenhouse, the pest treatment module in the greenhouse is connected with the pest treatment effect analysis module in the greenhouse, the pest treatment effect analysis module in the greenhouse is connected with the treatment terminal, and the web database is respectively connected with the pest information analysis module in the greenhouse and the pest information pretreatment analysis module in the greenhouse.
2. The intelligent agricultural pest information collection and sharing system according to claim 1, wherein the pest treatment information includes a treatment type including pest trapping, killing and pest scattering, a treatment duration and an installation area plan of the treatment device, and the pest control effect data includes the number of each pest type after control of each sub-area inside.
3. The intelligent agricultural pest information collecting and sharing system according to claim 1, wherein the pest risk assessment index corresponding to each subarea in the analysis greenhouse is as follows:
extracting the body type outline of each pest corresponding to each pest from pest information of each subarea in the greenhouse;
Extracting crop types planted in the greenhouse from the web database, extracting each reference pest type of each crop type from the web database, and further screening each corresponding reference pest type in the greenhouse;
Comparing each pest type of each subarea in the greenhouse with each reference pest type, and screening each threat pest type of each subarea in the greenhouse;
Based on the types of the threatening pests in each subarea in the greenhouse, analyzing pest damage force evaluation indexes of each subarea in the greenhouse by combining the body type profile of each pest type in each subarea in the greenhouse Wherein/>For each sub-region numbering,/>，/>Is any integer greater than 2;
Based on each pest of each pest type in each subarea in the greenhouse, counting the pest number of each pest threat type in each subarea in the greenhouse Wherein/>Numbering of threat pest types,/>，/>Is any integer greater than 2, and counts the number/>, of threat pest types of all subareas in the greenhouseAnalyzing pest risk assessment indexes/>, corresponding to all subareas in greenhouseWherein/>Is the interior of a predefined greenhouseThe number of permissible presence of the mth threat pest type of the sub-region,/>For the number of permissible threat pest types stored in the web database,/>、/>、/>The influence weight factors are respectively expressed as pest damage force, the number of pests threatening the pest type and the corresponding number of the threatening pest type.
4. The intelligent agricultural pest information collection and sharing system according to claim 3, wherein pest damage force evaluation indexes of all subareas in the analysis greenhouse are determinedThe specific analysis method comprises the following steps:
extracting the body type outline of each threat pest type of each subarea in the greenhouse corresponding to each pest based on the body type outline of each pest corresponding to each subarea in the greenhouse;
Extracting the damage value of each reference pest type of each crop type in each reference body type profile from a web database, combining the crop types planted in the greenhouse, screening the damage value of each reference pest type in each reference body type profile in the greenhouse, and extracting the damage value of each threat pest type in each sub-region in the greenhouse in each reference body type profile;
Analyzing the similarity of the body type profile of each pest belonging to each threat pest type in each subarea in the greenhouse and each reference body type profile, screening the reference body type profile corresponding to the maximum similarity of each pest belonging to each threat pest type in each subarea in the greenhouse, and recording the reference body type profile as an example body type profile of each pest belonging to each threat pest type in each subarea in the greenhouse, and obtaining the damage value of each pest belonging to each threat pest type in each subarea in the greenhouse;
the damage value of each pest belonging to each threat pest type in each subarea in the greenhouse is subjected to average treatment to obtain the average damage value of each subarea in the greenhouse, and the average damage value is used as a pest damage force evaluation index of each subarea in the greenhouse 。
5. The intelligent agricultural pest information collecting and sharing system according to claim 2, wherein the greenhouse is of a processing type, and the specific analysis method comprises the following steps:
Extracting pest risk assessment indexes corresponding to all subareas in all other greenhouses Wherein/>Numbering for each other greenhouse-，/>Is any integer greater than 2,/>Numbering each subarea in other greenhouses,/>，Screening the corresponding maximum pest risk assessment index/>, in each other greenhouse, for any integer greater than 2And minimum pest risk assessment index/>；
Pest risk assessment index combined with each subarea inside greenhouseScreening the maximum pest risk assessment index/>, inside the greenhouseAnd minimum pest risk assessment index/>Analyzing the similarity between the greenhouse and each other greenhouseWherein/>Is the number of subregions in the greenhouse,/>The number of the subareas in other greenhouses;
Screening similar greenhouses corresponding to the greenhouses, analyzing treatment effect evaluation indexes of the other greenhouses based on pest treatment effect data of the other greenhouses, and extracting treatment effect evaluation indexes of the similar greenhouses corresponding to the greenhouses;
comparing the treatment effect evaluation indexes of the greenhouses corresponding to the similar greenhouses with each other, if the treatment effect evaluation index of the greenhouse corresponding to a similar greenhouse is the largest, marking the similar greenhouse as a matched greenhouse, extracting the treatment type from pest treatment information of other greenhouses, obtaining the treatment type of the greenhouse corresponding to the matched greenhouse, and taking the treatment type as the treatment type of the greenhouse.
6. The intelligent agricultural pest information collecting and sharing system according to claim 5, wherein the analyzing the treatment effect evaluation index of each other greenhouse comprises the following specific analysis method:
Extracting the number of the pests of each pest type after the pest control of each sub-area in each other greenhouse from pest control effect data of each other greenhouse, extracting the crop types planted in each other greenhouse from a web database, extracting each reference pest type of each crop type from the web database, and further screening each reference pest type corresponding to each other greenhouse;
Comparing the pest types of all subareas in all other greenhouses with the reference pest types, screening all threat pest types of all subareas in all other greenhouses, and obtaining the pest numbers of all threat pest types after the treatment of all subareas in all other greenhouses Wherein/>Numbering the types of the threat pests after the treatment of the subareas in other greenhouses,，/>Analyzing the treatment effect evaluation index/>, which is any integer greater than 2, of each other greenhouseWherein/>For predefined/>Interior of other greenhouse/>First/>, of sub-regionAllowed presence number of individual threat pest types,/>Is the number of sub-areas inside other greenhouses.
7. The intelligent agricultural pest information collecting and sharing system according to claim 5, wherein the processing duration of the greenhouse is as follows:
Extracting processing time from pest processing information of each other greenhouse, obtaining processing time of the greenhouse corresponding to the matched greenhouse, and taking the processing time as initial processing time of the greenhouse;
Carrying out average treatment on pest risk assessment indexes corresponding to all subareas in the greenhouse to obtain pest risk assessment index average values corresponding to the greenhouse, and carrying out average treatment on pest risk assessment indexes corresponding to all subareas in the matched greenhouse to obtain pest risk assessment index average values corresponding to the matched greenhouse;
Subtracting the pest risk assessment index mean value of the matched greenhouse from the pest risk assessment index mean value of the greenhouse to obtain a pest risk assessment index mean value difference value of the greenhouse and the matched greenhouse, and screening the corresponding compensation treatment duration of the greenhouse by combining pest risk assessment index mean value difference value intervals corresponding to the compensation treatment durations stored in the web database;
and adding the initial processing time length and the compensation processing time length of the greenhouse to obtain the processing time length of the greenhouse.
8. The intelligent agricultural pest information collecting and sharing system according to claim 2, wherein the installing area planning chart of the greenhouse processing device comprises the following specific analysis method:
Based on pest risk assessment indexes of all subareas in other greenhouses, combining pest risk assessment indexes of all subareas in the greenhouses Acquiring pest risk assessment indexes of all subareas in the greenhouse and pest risk assessment indexes/>, corresponding to the subareas in other greenhousesFurther analyzing the similarity value of the pest distribution areas in the greenhouse and other greenhousesWherein/>The number of the subareas in the greenhouse;
screening other greenhouses with the same treatment type as the greenhouses, marking the greenhouse as the proper greenhouses, extracting the similarity value of the internal pest distribution areas of the greenhouses and the proper greenhouses, comparing the similarity value with each other, and if the similarity value of the internal pest distribution areas of the greenhouses and the proper greenhouses is the largest, acquiring the installation area planning map of the treatment device from the pest treatment information of the proper greenhouses, acquiring the installation area planning map of the treatment device of the proper greenhouses, and taking the installation area planning map as the installation area planning map of the treatment device of the greenhouses.
9. The intelligent agricultural pest information collection and sharing system according to claim 1, wherein the matched pest management expert of the analysis greenhouse comprises the following specific analysis methods:
Acquiring each proper pest treatment type corresponding to each pest control expert from an agricultural pest information acquisition and sharing platform, comparing each threat pest type of each subarea in the greenhouse with each proper pest treatment type corresponding to each pest control expert, and screening each matched pest type corresponding to each pest control expert;
Counting the number of the matched pest types of each pest control expert, arranging each pest control expert according to the sequence from the large number to the small number of the matched pest types, selecting the pest control expert at the first position, and taking the pest control expert as the matched pest control expert of the greenhouse.
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