Crop seed general survey method and system based on path planning

Abstract

The invention provides a crop seed general survey method and system based on path planning, and the method comprises the steps: 1, obtaining a remote sensing image of a general survey region; step 2, acquiring crop growth information of the general survey area based on the remote sensing image; 3, designing a general survey route of the general survey area according to the crop growth information; and 4, guiding a general survey worker to carry out general survey on the corresponding crop seeds according to the general survey route. According to the crop seed general survey method and system based on path planning, the remote sensing image of the general survey area is analyzed to obtain the crop growth information of the general survey area, the general survey route is designed in the general survey area according to the crop growth information, and general survey workers are guided to carry out corresponding crop seed general survey according to the general survey route. Problems of route planning repetition and crop planting area general survey omission caused by the fact that workers are not familiar with the general survey area are avoided, and the general survey efficiency is improved.

Description

Technical Field

[0001] The invention relates to the technical field of electronic digital data processing, and in particular to a crop seed census method and system based on path planning. Background Art

[0002] Crop seed census is an activity to systematically investigate and collect the types, quantity, distribution and main characteristics of crop seed resources. It helps to protect and preserve crop genetic diversity and is crucial to maintaining the stability of the ecosystem and the sustainable development of agriculture. During the specific census, census personnel conduct a census and collection of agricultural germplasm resources in the jurisdiction through inquiry surveys, questionnaires and on-site censuses. However, the jurisdiction is generally large and the distribution areas of crops are discrete. The method of visiting and census at the same time is inefficient.

[0003] In view of this, there is an urgent need for a crop seed census method and system based on path planning to at least solve the above-mentioned deficiencies. Summary of the invention

[0004] One of the purposes of the present invention is to provide a crop seed census method and system based on path planning, analyze remote sensing images of the census area to obtain crop growth information in the census area, design a census route in the census area based on the crop growth information, and guide census staff to conduct corresponding crop seed censuses according to the census route, thereby avoiding the problem of repeated route planning and omission of census crop planting areas caused by staff's unfamiliarity with the census area, thereby improving the census efficiency.

[0005] The crop seed census method based on path planning provided by an embodiment of the present invention includes: Step 1: Obtain remote sensing images of the survey area; Step 2: Obtain crop growth information in the survey area based on remote sensing images; Step 3: Design the survey route of the survey area based on crop growth information; Step 4: Guide the census staff to conduct a census of corresponding crop seeds according to the census route.

[0006] Preferably, step 1: obtaining a remote sensing image of the survey area includes: Get the remote sensing image shooting node set; Determine the shooting tasks of the shooting devices corresponding to the remote sensing image shooting nodes in the remote sensing image shooting node set; Analyze the shooting task and determine whether the shooting range includes the census area; If so, connect to the corresponding remote sensing image shooting node to obtain the remote sensing image of the survey area.

[0007] Preferably, step 1: obtaining a remote sensing image of the survey area, further comprises: Before connecting to the corresponding remote sensing image shooting node to obtain the remote sensing image of the survey area, determine whether the corresponding remote sensing image shooting node meets the trust condition, and if so, connect; The trustworthy conditions include: The historical bit error rate and historical false signal rate of the remote sensing image shooting node both meet the preset transmission standards; and, If the remote sensing image shooting node is not a local node, the sequence characteristics of the historical evaluation score sequence corresponding to the remote sensing image shooting node are consistent with the standard credible sequence characteristics in the standard credible sequence feature set, and the sequence characteristics include: the mean score of the historical evaluation score and the weighted mean score of the historical evaluation score sequence.

[0008] Preferably, step 3: designing a survey route of the survey area according to crop growth information, including: Construct a pre-labeled three-dimensional map of the survey area; Determine the crop growth area in the survey area according to the crop growth information, and mark the crop growth area in the pre-marked three-dimensional map according to the first relative area relationship between the survey area and the crop growth area to obtain a target three-dimensional map; Based on the path planning technology, a simulated route passing through each simulated crop growth area is planned in the target three-dimensional map; Extract target features of the simulated route according to the preset characterization template of the survey area; Extract passability evaluation rules based on route passability evaluation records; Determine the passability evaluation value of the simulated route according to the passability evaluation rules and target characteristics; The simulated route with the highest passability evaluation value is taken as the target simulated route, and the survey route of the survey area is determined based on the second relative area relationship between the target simulated route and the target three-dimensional map.

[0009] Preferably, according to the route passability evaluation record, extracting the passability evaluation rules includes: Determine the passability description items according to the route passability evaluation records; Determine the route feature description item in the passability description item; If the route feature types described in the route feature description items corresponding to the route passability evaluation records are the same, the corresponding route passability evaluation records are divided into the same training group; According to the route features and route passability evaluation results of the route feature description items of the same training group, a route feature passability evaluation model of the route feature type corresponding to the training group is trained; Read the passability evaluation sub-rule of the route feature of the route feature type corresponding to the training group according to the passability evaluation model and the preset model reading template; The passability evaluation sub-rules are aggregated to obtain the passability evaluation rule.

[0010] Preferably, step 4: guiding the survey staff to conduct a corresponding crop seed survey according to the survey route, including: Simulating a target human body model in a target three-dimensional map to move in a target simulation route, and determining an observation route point in the target simulation route; When the census workers arrive at the actual location corresponding to the observation route point, a pre-observation reminder message is sent to the census workers.

[0011] Preferably, a pre-observation reminder message is sent to the census staff, including: Acquire image features of remote sensing images of crop growth areas observed at real locations; Determine the distribution of crop growth areas based on image features; Characterize the distribution of crop growth areas and obtain the distribution characteristics of crop growth areas; According to the distribution characteristics of crop growth areas, the observation occlusion probability analysis is carried out; If there is an observation obstruction probability, determine whether there is an observation obstruction situation according to the crop growth stage distributed in the corresponding crop growth area; If there is any obstruction to observation, pre-observation reminder information is generated based on the distribution of crop growth areas.

[0012] Preferably, the observation occlusion probability analysis is performed according to the distribution characteristics of the crop growth area, including: Perform feature matching on the distribution features of crop growth areas and the distribution features of suspicious crop growth areas. If there is a match, there is an observation occlusion probability. Among them, the distribution characteristics of suspicious crop growth areas include: There is at least one pair of different types of crop growing areas with a containment relationship; and, The crop growth height of the crops in the target area among the different types of crop growth areas that have an inclusion relationship at the current growth stage is greater than the eye height of the survey personnel.

[0013] The crop seed census system based on path planning provided by an embodiment of the present invention includes: Remote sensing image acquisition subsystem, used to acquire remote sensing images of the survey area; The crop growth information acquisition subsystem is used to obtain crop growth information in the survey area based on remote sensing images; The survey route design subsystem is used to design the survey route of the survey area according to the crop growth information; The census guidance subsystem is used to guide census workers to conduct corresponding crop seed censuses according to the census routes.

[0014] Preferably, the remote sensing image acquisition subsystem acquires the remote sensing image of the survey area and performs the following operations: Get the remote sensing image shooting node set; Determine the shooting tasks of the shooting devices corresponding to the remote sensing image shooting nodes in the remote sensing image shooting node set; Analyze the shooting task and determine whether the shooting range includes the census area; If so, connect to the corresponding remote sensing image shooting node to obtain the remote sensing image of the survey area.

[0015] Preferably, the remote sensing image acquisition subsystem further performs the following operations: Before connecting to the corresponding remote sensing image shooting node to obtain the remote sensing image of the survey area, determine whether the corresponding remote sensing image shooting node meets the trust condition, and if so, connect; The trustworthy conditions include: The historical bit error rate and historical false signal rate of the remote sensing image shooting node both meet the preset transmission standards; and, If the remote sensing image shooting node is not a local node, the sequence characteristics of the historical evaluation score sequence corresponding to the remote sensing image shooting node are consistent with the standard credible sequence characteristics in the standard credible sequence feature set, and the sequence characteristics include: the mean score of the historical evaluation score and the weighted mean score of the historical evaluation score sequence.

[0016] Preferably, the survey route design subsystem designs a survey route for the survey area according to the crop growth information, and performs the following operations: Construct a pre-labeled three-dimensional map of the survey area; Determine the crop growth area in the survey area according to the crop growth information, and mark the crop growth area in the pre-marked three-dimensional map according to the first relative area relationship between the survey area and the crop growth area to obtain a target three-dimensional map; Based on the path planning technology, a simulated route passing through each simulated crop growth area is planned in the target three-dimensional map; Extract target features of the simulated route according to the preset characterization template of the survey area; Extract passability evaluation rules based on route passability evaluation records; Determine the passability evaluation value of the simulated route according to the passability evaluation rules and target characteristics; The simulated route with the highest passability evaluation value is taken as the target simulated route, and the survey route of the survey area is determined based on the second relative area relationship between the target simulated route and the target three-dimensional map.

[0017] Preferably, the survey route design subsystem extracts passability evaluation rules based on the route passability evaluation records and performs the following operations: Determine the passability description items according to the route passability evaluation records; Determine the route feature description item in the passability description item; If the route feature types described in the route feature description items corresponding to the route passability evaluation records are the same, the corresponding route passability evaluation records are divided into the same training group; According to the route features and route passability evaluation results of the route feature description items of the same training group, a route feature passability evaluation model of the route feature type corresponding to the training group is trained; Read the passability evaluation sub-rule of the route feature of the route feature type corresponding to the training group according to the passability evaluation model and the preset model reading template; The passability evaluation sub-rules are aggregated to obtain the passability evaluation rule.

[0018] Preferably, the survey guidance subsystem guides the survey staff to conduct a corresponding crop seed survey according to the survey route, and performs the following operations: Simulating a target human body model in a target three-dimensional map to move in a target simulation route, and determining an observation route point in the target simulation route; When the census workers arrive at the actual location corresponding to the observation route point, a pre-observation reminder message is sent to the census workers.

[0019] Preferably, the census guidance subsystem sends a pre-observation reminder message to the census staff and performs the following operations: Acquire image features of remote sensing images of crop growth areas observed at real locations; Determine the distribution of crop growth areas based on image features; Characterize the distribution of crop growth areas and obtain the distribution characteristics of crop growth areas; According to the distribution characteristics of crop growth areas, the observation occlusion probability analysis is carried out; If there is an observation obstruction probability, determine whether there is an observation obstruction situation according to the crop growth stage distributed in the corresponding crop growth area; If there is any obstruction to observation, pre-observation reminder information is generated based on the distribution of crop growth areas.

[0020] The beneficial effects of the present invention are: The present invention analyzes the remote sensing image of the survey area to obtain the crop growth information of the survey area, designs a survey route in the survey area according to the crop growth information, and guides the survey staff to conduct a corresponding crop seed census according to the census route, thereby avoiding the problem of repeated route planning and omission of surveyed crop planting areas caused by the staff's unfamiliarity with the survey area, thereby improving the survey efficiency.

[0021] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures specifically pointed out in the present application documents.

[0022] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings: Figure 1 Schematic diagram of a crop seed census method based on path planning in an embodiment of the present invention; Figure 2 Schematic diagram of a crop seed census system based on path planning in an embodiment of the present invention. DETAILED DESCRIPTION

[0024] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0025] The embodiment of the present invention provides a crop seed census method based on path planning, such as Figure 1 As shown, including: Step 1: Obtain a remote sensing image of the survey area; wherein the survey area is: an area where a crop seed survey is required; and the remote sensing image is: an image of the survey area obtained by remote sensing technology; Step 2: Acquire crop growth information of the survey area based on remote sensing images; wherein the crop growth information is: the corresponding relationship between the crop growth situation acquired based on remote sensing image analysis and the position in the survey area; Step 3: Design a survey route in the survey area based on crop growth information; the survey route is the path that the staff will move along within the survey area during the survey; Step 4: Guide the survey staff to conduct a census of the corresponding crop seeds according to the survey route. The crop seed census refers to the survey and collection of germplasm resources of crops grown in the survey area.

[0026] The working principle and beneficial effects of the above technical solution are: The present invention analyzes the remote sensing image of the survey area to obtain the crop growth information of the survey area, designs a survey route in the survey area according to the crop growth information, and guides the survey staff to conduct a corresponding crop seed census according to the census route, thereby avoiding the problem of repeated route planning and omission of surveyed crop planting areas caused by the staff's unfamiliarity with the survey area, thereby improving the survey efficiency.

[0027] In one embodiment, step 1: obtaining a remote sensing image of a survey area includes: Acquire a remote sensing image shooting node set; wherein the remote sensing image shooting node is: a network node of a remote sensing image shooting device; Determine a shooting task of a shooting device corresponding to a remote sensing image shooting node in a remote sensing image shooting node set; wherein the shooting task includes: a shooting area and a shooting time; Analyze the shooting task and determine whether the shooting range includes the census area; If so, connect to the corresponding remote sensing image shooting node to obtain the remote sensing image of the survey area.

[0028] The working principle and beneficial effects of the above technical solution are: The present invention introduces a remote sensing image shooting node set, analyzes the shooting tasks of the shooting devices corresponding to the remote sensing image shooting nodes, and determines the remote sensing image shooting nodes to be connected, so that the connection process is more suitable.

[0029] In one embodiment, step 1: obtaining a remote sensing image of the survey area further includes: Before connecting to the corresponding remote sensing image shooting node to obtain the remote sensing image of the survey area, determine whether the corresponding remote sensing image shooting node meets the trust condition, and if so, connect; The trustworthy conditions include: The historical bit error rate and historical false signal rate of the remote sensing image shooting node both meet the preset transmission standard; wherein the preset transmission standard is manually preset; and, If the remote sensing image shooting node is not a local node, the sequence characteristics of the historical evaluation score sequence of the corresponding remote sensing image shooting node are consistent with the standard credible sequence characteristics, and the sequence characteristics include: the mean score of the historical evaluation score and the weighted mean score of the historical evaluation score sequence. Among them, the weighted mean score of the historical evaluation score sequence is calculated as follows: first, the time length from the longest historical score in the historical evaluation score sequence to the current time is determined as the normalized time length, the quotient of the time length from the historical evaluation score to the current time and the normalized time length is determined, and the quotient is subtracted from 1 to obtain the time weight of the corresponding historical evaluation score, and then the credible weight of the evaluator of the corresponding historical evaluation score on the evaluation platform is obtained (for example, the result obtained by dividing the platform level by the highest level of the platform), the average of the time weight and the credible weight is calculated to obtain the target weight, and the target weight is multiplied by the historical evaluation score to obtain the weighted score; the standard credible sequence characteristics are: the mean score of the historical evaluation score is greater than the preset first mean threshold, and the weighted mean score of the historical evaluation score sequence is greater than the preset second mean threshold.

[0030] The working principle and beneficial effects of the above technical solution are: Before the present invention is connected to the remote sensing image capturing node, a trust condition is introduced to verify the trustworthiness of the remote sensing image capturing node. The trust condition includes: The historical bit error rate and historical signal error rate both meet the preset transmission standards; and, The mean score of the historical evaluation score of the remote sensing image shooting node of the non-local node and the weighted mean score of the historical evaluation score sequence both meet the standard credible sequence characteristics; The introduction of trusted conditions for verification of remote sensing image shooting nodes improves the accuracy of subsequent remote sensing image acquisition.

[0031] In one embodiment, step 3: designing a survey route of the survey area according to crop growth information includes: Constructing a pre-marked three-dimensional map of the survey area; wherein the pre-marked three-dimensional map is: a 1:1 proportional three-dimensional model of the survey area; Determine the crop growth area in the survey area according to the crop growth information, and mark the crop growth area in the pre-marked three-dimensional map according to the first relative area relationship between the survey area and the crop growth area to obtain a target three-dimensional map; Based on the path planning technology, a simulated route passing through each simulated crop growth area is planned in the target three-dimensional map; According to the characterization template preset in the survey area, the target features of the simulated route are extracted; wherein the characterization template is a template for extracting route features of the simulated route corresponding to the actual route by comparing the simulated route, for example, a template for extracting the length of the simulated route and the road surface coefficient of the simulated route corresponding to the actual route by comparing; According to the route passability evaluation record, the passability evaluation rule is extracted; wherein the route passability evaluation record is: the process record of manually evaluating the passability of the route in history; the passability evaluation rule is: the rule of evaluating the passability of the route corresponding to the route characteristics according to the route characteristics; Determine the passability evaluation value of the simulated route according to the passability evaluation rules and target characteristics; The simulated route with the highest passability evaluation value is taken as the target simulated route, and the survey route of the survey area is determined based on the second relative area relationship between the target simulated route and the target three-dimensional map.

[0032] The working principle and beneficial effects of the above technical solution are: The present invention constructs a pre-marked three-dimensional map of a survey area, and at the same time, determines the crop growing area in the survey area, and simulates and annotates the crop growing area in the pre-marked three-dimensional map according to the first relative area relationship between the survey area and the crop growing area to obtain a target three-dimensional map. The path planning technology is introduced, and a simulated route passing through each simulated crop growing area is planned in the target three-dimensional map. The characterization template preset in the survey area is introduced to characterize the simulated route to obtain the target feature, and the passability evaluation rules are extracted according to the route passability evaluation record. The passability evaluation value of the simulated route is determined based on the passability evaluation rules and the target feature, and the simulated route with the highest passability evaluation value in the simulated route is used as the target simulated route. According to the second relative area relationship, the survey route of the survey area is determined, thereby improving the rationality of the survey route planning.

[0033] In one embodiment, according to the route passability evaluation record, extracting the passability evaluation rules includes: Determine a passability description item according to the route passability evaluation record; wherein the passability description item is: the route passability evaluation description semantics obtained by processing the route passability evaluation record based on semantic analysis technology, such as: "muddy road is not easy to walk on"; Determine the route feature description item in the passability description item; wherein the route feature description item is: the route feature description semantics in the route passability evaluation description semantics, such as "mud road", and the passability description item is semantically matched with the standard route feature description semantics, and the standard route feature description semantics is manually preset; If the route feature types described by the route feature description items corresponding to the route passability evaluation records are the same, the corresponding route passability evaluation records are divided into the same training group; wherein the route feature type is: the type of route feature described by the route feature description item, such as: road surface friction coefficient, road surface material, etc.; According to the route features and route passability evaluation results of the route feature description items of the same training group, a passability evaluation model of the route features of the route feature type corresponding to the training group is trained; wherein the passability evaluation model is: an AI model for performing passability evaluation of the corresponding route according to the route features of the route feature type; According to the passability evaluation model and the preset model reading template, the passability evaluation sub-rule of the route feature of the route feature type corresponding to the training group is read; wherein the preset model reading template is: a template for extracting model evaluation logic in accordance with the passability evaluation model; The passability evaluation sub-rules are aggregated to obtain the passability evaluation rule.

[0034] The working principle and beneficial effects of the above technical solution are: The present invention obtains passability description items by semantically processing route passability evaluation records, classifies route passability evaluation records with the same route feature type described by route feature description items into the same training group, and trains route passability evaluation records of the same route feature type to obtain a passability evaluation model; introduces a model reading template, compares the passability evaluation model to obtain passability evaluation sub-rules, and summarizes the passability evaluation sub-rules to obtain passability evaluation rules.

[0035] In one embodiment, step 4: guiding survey workers to conduct a survey of corresponding crop seeds according to the survey route includes: In the target three-dimensional map, the target human body model is simulated to move in the target simulation route, and the observation route points in the target simulation route are determined; wherein the observation route points are points on the survey route suitable for survey personnel to observe the crop growth area corresponding to the positions on the target simulation route, such as the first intersection of the target simulation route and the simulated crop growth area; When the survey staff arrives at the actual location corresponding to the observation route point, a pre-observation reminder message is sent to the survey staff, wherein the pre-observation reminder message is: a local remote sensing image of the crop growth area observed at the actual location.

[0036] The working principle and beneficial effects of the above technical solution are: The present invention simulates a target human body model moving in a target simulation route in a target three-dimensional map, determines that a point on the census route suitable for census personnel to observe crop growth areas corresponds to a position on the target simulation route (an observation route point), and when the census personnel arrive at the actual position corresponding to the observation route point, sends a local remote sensing image of the crop growth area corresponding to the actual position to the census personnel, sends local remote sensing information in a targeted manner according to the position of the census personnel, and conducts preliminary observation before conducting the census, thereby avoiding omission of census tasks when crops in the same area cover each other.

[0037] In one embodiment, a pre-observation reminder message is sent to the census staff, including: Obtaining image features of a remote sensing image of an observed crop growth area corresponding to an actual position; wherein the image features are: a characteristic representation of a remote sensing image of an observed crop growth area corresponding to an actual position, such as: color, texture, etc. of the remote sensing image; Determine the distribution of crop growth areas according to the image features; wherein the distribution of crop growth areas is: the distribution of crop growth in the crop growth area observed corresponding to the actual position obtained by analyzing the image features, for example: the crop growth area observed corresponding to the actual position is a circular area, corn is inside the circular area, and beans are in a ring outside the circular area; Characterizing the distribution of crop growth areas to obtain crop growth area distribution characteristics; wherein the crop growth area distribution characteristics are: the corresponding relationship between crop types and distribution locations; According to the distribution characteristics of crop growth areas, an observation occlusion probability analysis is performed; wherein, the observation occlusion probability analysis is to analyze whether there is a possibility of mutual occlusion. During the analysis, if one crop can completely surround another crop, then there is a possibility of mutual occlusion, otherwise there is no possibility; If there is an observation occlusion probability, judging whether there is an observation occlusion situation according to the crop growth stage distributed in the corresponding crop growth area; wherein the observation occlusion probability exists as follows: different crops are surrounded by each other; judging whether there is an observation occlusion situation according to the crop growth stage distributed in the corresponding crop growth area: determining the height of the surrounded crops and the height of the surrounding crops respectively according to the crop growth stage, and judging whether there is an observation occlusion situation if the height of the surrounding crops is greater than the height of the surrounded crops; If there is an observation obstruction, pre-observation reminder information is generated according to the distribution of crop growth areas, wherein the pre-observation reminder information is: a local remote sensing image of the crop growth area where the observation obstruction exists.

[0038] The working principle and beneficial effects of the above technical solution are: The present invention characterizes the remote sensing image of the crop growth area observed corresponding to the actual position to obtain image features and determine the crop growth area distribution; then characterizes the crop growth area distribution to obtain the crop growth area distribution features; analyzes the crop growth area distribution features to determine whether there is an observation obstruction probability, and if so, determines the growth stage of the crops distributed in the corresponding crop growth area, and determines whether the surrounded crops are obstructed by the surrounded crops according to the growth stage; if there is an observation obstruction situation, then sends pre-observation reminder information, thereby improving the pertinence of sending the pre-observation information.

[0039] In one embodiment, the observation occlusion probability analysis is performed based on the distribution characteristics of the crop growth area, including: Perform feature matching on the distribution features of crop growth areas and the distribution features of suspicious crop growth areas. If there is a match, there is an observation occlusion probability. Among them, the distribution characteristics of suspicious crop growth areas include: There is at least one pair of different types of crop growing areas that have a containment relationship; wherein the containment relationship is: different crops are surrounded by each other; and, The crop growth height of the target area among the different types of crop growth areas with the inclusion relationship at the current growth stage is greater than the eye height of the survey personnel. Among them, the target area is the area where the crops with the inclusion relationship of active encirclement are located.

[0040] The working principle and beneficial effects of the above technical solution are: The present invention introduces the distribution characteristics of suspicious crop growth areas, specifically including: Feature 1: Different crops surround each other; Feature 2: The growth height of the surrounding crops at the current moment is greater than the eye height of the survey personnel; The above two characteristics restrict the census personnel from directly observing the internal growth conditions from the periphery of the crop growing area, which may easily lead to the neglect of the distribution characteristics of suspicious crop growing areas in the collection of internal crop planting resources. Subsequent observation obstruction situations are determined based on the distribution characteristics of suspicious crop growing areas, which improves the determination efficiency and makes the pre-observation information push more timely.

[0041] The embodiment of the present invention provides a crop seed census system based on path planning, such as Figure 2 As shown, including: Remote sensing image acquisition subsystem 1, used to acquire remote sensing images of the survey area; The crop growth information acquisition subsystem 2 is used to acquire the crop growth information of the survey area based on remote sensing images; A survey route design subsystem 3 is used to design a survey route in the survey area according to crop growth information; The census guidance subsystem 4 is used to guide the census workers to conduct the corresponding crop seed census according to the census route.

[0042] In one embodiment, the remote sensing image acquisition subsystem acquires remote sensing images of the survey area and performs the following operations: Get the remote sensing image shooting node set; Determine the shooting tasks of the shooting devices corresponding to the remote sensing image shooting nodes in the remote sensing image shooting node set; Analyze the shooting task and determine whether the shooting range includes the census area; If so, connect to the corresponding remote sensing image shooting node to obtain the remote sensing image of the survey area.

[0043] In one embodiment, the remote sensing image acquisition subsystem further performs the following operations: Before connecting to the corresponding remote sensing image shooting node to obtain the remote sensing image of the survey area, determine whether the corresponding remote sensing image shooting node meets the trust condition, and if so, connect; The trustworthy conditions include: The historical bit error rate and historical false signal rate of the remote sensing image shooting node both meet the preset transmission standards; and, If the remote sensing image shooting node is not a local node, the sequence characteristics of the historical evaluation score sequence corresponding to the remote sensing image shooting node are consistent with the standard credible sequence characteristics, and the sequence characteristics include: the mean score of the historical evaluation score and the weighted mean score of the historical evaluation score sequence.

[0044] In one embodiment, the survey route design subsystem designs a survey route for a survey area according to crop growth information, and performs the following operations: Construct a pre-labeled three-dimensional map of the survey area; Determine the crop growth area in the survey area according to the crop growth information, and mark the crop growth area in the pre-marked three-dimensional map according to the first relative area relationship between the survey area and the crop growth area to obtain a target three-dimensional map; Based on the path planning technology, a simulated route passing through each simulated crop growth area is planned in the target three-dimensional map; Extract target features of the simulated route according to the preset characterization template of the survey area; Extract passability evaluation rules based on route passability evaluation records; Determine the passability evaluation value of the simulated route according to the passability evaluation rules and target characteristics; The simulated route with the highest passability evaluation value is taken as the target simulated route, and the survey route of the survey area is determined based on the second relative area relationship between the target simulated route and the target three-dimensional map.

[0045] In one embodiment, the survey route design subsystem extracts passability evaluation rules based on route passability evaluation records and performs the following operations: Determine the passability description items according to the route passability evaluation records; Determine the route feature description item in the passability description item; If the route feature types described in the route feature description items corresponding to the route passability evaluation records are the same, the corresponding route passability evaluation records are divided into the same training group; According to the route features and route passability evaluation results of the route feature description items of the same training group, a route feature passability evaluation model of the route feature type corresponding to the training group is trained; Read the passability evaluation sub-rule of the route feature of the route feature type corresponding to the training group according to the passability evaluation model and the preset model reading template; The passability evaluation sub-rules are aggregated to obtain the passability evaluation rule.

[0046] In one embodiment, the survey guidance subsystem guides survey workers to conduct a corresponding crop seed survey according to the survey route, and performs the following operations: Simulating a target human body model in a target three-dimensional map to move in a target simulation route, and determining an observation route point in the target simulation route; When the census workers arrive at the actual location corresponding to the observation route point, a pre-observation reminder message is sent to the census workers.

[0047] In one embodiment, the census guidance subsystem sends a pre-observation reminder message to the census staff and performs the following operations: Acquire image features of remote sensing images of crop growth areas observed at real locations; Determine the distribution of crop growth areas based on image features; Characterize the distribution of crop growth areas and obtain the distribution characteristics of crop growth areas; According to the distribution characteristics of crop growth areas, the observation occlusion probability analysis is carried out; If there is an observation obstruction probability, determine whether there is an observation obstruction situation according to the crop growth stage distributed in the corresponding crop growth area; If there is any obstruction to observation, pre-observation reminder information is generated based on the distribution of crop growth areas.

[0048] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A crop seed census method based on path planning, characterized in that: include: Step 1: Obtain remote sensing images of the survey area; Step 2: Obtain crop growth information in the survey area based on remote sensing images; Step 3: Design the survey route of the survey area based on crop growth information; Step 4: Guide the census staff to conduct a census of corresponding crop seeds according to the census route.

2. The crop seed census method based on path planning as claimed in claim 1, characterized in that: Step 1: Obtain remote sensing images of the survey area, including: Get the remote sensing image shooting node set; Determine the shooting tasks of the shooting devices corresponding to the remote sensing image shooting nodes in the remote sensing image shooting node set; Analyze the shooting task and determine whether the shooting range includes the census area; If so, connect to the corresponding remote sensing image shooting node to obtain the remote sensing image of the survey area.

3. The crop seed census method based on path planning as claimed in claim 2, characterized in that: Also includes: Before connecting to the corresponding remote sensing image shooting node to obtain the remote sensing image of the survey area, it is determined whether the corresponding remote sensing image shooting node meets the trust condition, and if so, the connection is performed.

4. The crop seed census method based on path planning as claimed in claim 1, characterized in that: Step 4: Guide the survey staff to conduct the corresponding crop seed survey according to the survey route, including: Simulating a target human body model in a target three-dimensional map to move in a target simulation route, and determining an observation route point in the target simulation route; When the census workers arrive at the actual location corresponding to the observation route point, a pre-observation reminder message is sent to the census workers.

5. The crop seed census method based on path planning as claimed in claim 4, characterized in that: Send pre-observation reminders to census workers, including: Acquire image features of remote sensing images of crop growth areas observed at real locations; Determine the distribution of crop growth areas based on image features; Characterize the distribution of crop growth areas and obtain the distribution characteristics of crop growth areas; According to the distribution characteristics of crop growth areas, the observation occlusion probability analysis is carried out; If there is an observation obstruction probability, determine whether there is an observation obstruction situation according to the crop growth stage distributed in the corresponding crop growth area; If there is any obstruction to observation, pre-observation reminder information is generated based on the distribution of crop growth areas.

6. The crop seed census system based on path planning is characterized by: include: Remote sensing image acquisition subsystem, used to acquire remote sensing images of the survey area; The crop growth information acquisition subsystem is used to obtain crop growth information in the survey area based on remote sensing images; The survey route design subsystem is used to design the survey route of the survey area according to the crop growth information; The census guidance subsystem is used to guide census workers to conduct corresponding crop seed censuses according to the census routes.

7. The crop seed census system based on path planning as claimed in claim 6, characterized in that: The remote sensing image acquisition subsystem acquires remote sensing images of the survey area and performs the following operations: Get the remote sensing image shooting node set; Determine the shooting tasks of the shooting devices corresponding to the remote sensing image shooting nodes in the remote sensing image shooting node set; Analyze the shooting task and determine whether the shooting range includes the census area; If so, connect to the corresponding remote sensing image shooting node to obtain the remote sensing image of the survey area.

8. The crop seed census system based on path planning as claimed in claim 7, characterized in that: The remote sensing image acquisition subsystem also performs the following operations: Before connecting to the corresponding remote sensing image shooting node to obtain the remote sensing image of the survey area, it is determined whether the corresponding remote sensing image shooting node meets the trust condition, and if so, the connection is performed.

9. The crop seed census system based on path planning as claimed in claim 6, characterized in that: The census guidance subsystem guides census workers to conduct a census of corresponding crop seeds according to the census route and perform the following operations: Simulating a target human body model in a target three-dimensional map to move in a target simulation route, and determining an observation route point in the target simulation route; When the census workers arrive at the actual location corresponding to the observation route point, a pre-observation reminder message is sent to the census workers.

10. The crop seed census system based on path planning as claimed in claim 9, characterized in that: The census guidance subsystem sends a pre-observation reminder message to the census staff and performs the following operations: Acquire image features of remote sensing images of crop growth areas observed at real locations; Determine the distribution of crop growth areas based on image features; Characterize the distribution of crop growth areas and obtain the distribution characteristics of crop growth areas; According to the distribution characteristics of crop growth areas, the observation occlusion probability analysis is carried out; If there is an observation obstruction probability, determine whether there is an observation obstruction situation according to the crop growth stage distributed in the corresponding crop growth area; If there is any obstruction to observation, pre-observation reminder information is generated based on the distribution of crop growth areas.

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