CN113705282A - Information acquisition device, system and method and information acquisition vehicle - Google Patents
Information acquisition device, system and method and information acquisition vehicle Download PDFInfo
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- CN113705282A CN113705282A CN202010436901.0A CN202010436901A CN113705282A CN 113705282 A CN113705282 A CN 113705282A CN 202010436901 A CN202010436901 A CN 202010436901A CN 113705282 A CN113705282 A CN 113705282A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/60—Analysis of geometric attributes
- G06T7/62—Analysis of geometric attributes of area, perimeter, diameter or volume
Abstract
The disclosure relates to an information acquisition device, system and method and an information acquisition vehicle, and relates to the technical field of automation. The information acquisition device of this disclosure includes: a positioning module configured to acquire position information of a carrier; the controller is connected with the positioning module and is configured to draw the track of the carrier on the map according to the position information of the carrier acquired by the positioning module; and a communication module connected with the controller and configured to send the track of the carrier to the server to determine the area of the area enclosed by the track of the carrier.
Description
Technical Field
The present disclosure relates to the field of automation technologies, and in particular, to an information collecting apparatus, system, method, and information collecting vehicle.
Background
The rapid acquisition and analysis of the agricultural condition information such as the crop planting area and the like are the premise and the basis for developing the precise agricultural practice and are the key for breaking through the bottleneck restricting the application and development of the Chinese precise agriculture.
At present, aerospace, aviation and ground remote sensing technologies are widely applied to monitoring agricultural condition information such as crop planting area and crop types, and an effective way and a method for monitoring agricultural condition information in real time, quickly and nondestructively are provided.
Disclosure of Invention
The inventor finds that: the deviation of agricultural resource data such as planting area obtained by a remote sensing technology is large, 85-95% accuracy rate is difficult to support the government department with enough data, and first-hand data and early warning are difficult to provide for agricultural production.
One technical problem to be solved by the present disclosure is: how to improve the accuracy of determining the planting area of the crops.
According to some embodiments of the present disclosure, there is provided an information acquisition apparatus including: a positioning module configured to acquire position information of a carrier; the controller is connected with the positioning module and is configured to draw the track of the carrier on the map according to the position information of the carrier acquired by the positioning module; and a communication module connected with the controller and configured to send the track of the carrier to the server to determine the area of the area enclosed by the track of the carrier.
In some embodiments, the apparatus further comprises: a soil moisture measuring unit connected to the controller, configured to transmit a microwave signal according to an instruction of the controller, and receive a signal reflected from the soil; the controller is further configured to determine a moisture content of the soil based on the transmitted microwave signal and the soil reflected signal.
In some embodiments, the soil moisture measuring unit includes: a cover body; the antenna comprises a signal generator positioned in the cover body, a transmitting branch connected with the signal generator, a receiving branch and an antenna connected with the transmitting branch and the receiving branch respectively.
In some embodiments, the controller is further configured to control the signal generator to generate microwave signals of different powers, and determine the moisture content of the soil at different depths based on the microwave signals of the various powers and corresponding soil reflected signals.
In some embodiments, the controller is further configured to determine whether the carrier reaches a preset position according to the position information of the carrier determined by the positioning module, and in the case of reaching the preset position, the controller controls the signal generator to generate a microwave signal to determine the moisture content of the soil at the preset position.
In some embodiments, the microwave signal has a band of X-bands; the cover body is made of hard wave-transmitting materials, and the bottom of the cover body is away from the ground by a preset distance.
In some embodiments, the carrier travels within a crop planting area, the information gathering device further comprising: an image acquisition module configured to take a picture according to an instruction of the controller; the communication module is further configured to transmit the captured picture to a server to identify at least one of a type, maturity, yield, disease condition, and pest condition of the crop.
In some embodiments, the apparatus further comprises: the display is configured to display at least one of information of a position of the carrier and a trajectory of the carrier.
According to still other embodiments of the present disclosure, there is provided an information collecting vehicle including: the information acquisition device of any of the preceding embodiments; and a vehicle body as a carrier configured to travel according to a preset work route; wherein, the information acquisition device sets up on the automobile body.
In some embodiments, the soil moisture measuring unit is disposed at the bottom of the vehicle body.
According to still further embodiments of the present disclosure, there is provided an information collecting system including: the information-gathering vehicle of any of the preceding embodiments; and the server is configured to receive the track of the vehicle body sent by the communication module of the information acquisition vehicle and determine the area of the area enclosed by the track of the vehicle body according to the track of the vehicle body.
In some embodiments, the information-gathering vehicle travels within a crop-growing area; the server is configured to determine the area of the enclosed graph according to the track of the vehicle body, the area is used as a measurement area, and the area is corrected according to a measurement error obtained in advance and is used as the area of the crop planting area; wherein the measurement error is determined according to the error between the historical measurement area and the actual area.
In some embodiments, the server is further configured to receive a picture taken by the information-gathering vehicle, and determine at least one of a type, maturity, yield, type of disease, type of pest of the crop from the picture.
According to still further embodiments of the present disclosure, there is provided an information collecting method including: acquiring position information of a carrier; drawing a track of the carrier on a map according to the acquired position information of the carrier; and determining the area of the area surrounded by the tracks of the carrier according to the tracks of the carrier.
In some embodiments, the method further comprises: transmitting microwave signals to the soil and receiving signals reflected by the soil; and determining the moisture content of the soil according to the transmitted microwave signal and the signal reflected by the soil.
In some embodiments, the transmitted microwave signal comprises: generating microwave signals with different powers and transmitting the microwave signals; determining the moisture content of the soil from the transmitted microwave signal and the signal reflected from the soil comprises: and determining the moisture content of the soil at different depths according to the microwave signals with various powers and the corresponding signals reflected by the soil.
In some embodiments, the transmitted microwave signal comprises: and judging whether the carrier reaches a preset position or not according to the position information of the carrier, and transmitting a microwave signal under the condition of reaching the preset position.
In some embodiments, the method further comprises: taking pictures under the condition that the carrier runs in a crop planting area; and identifying at least one of the type, maturity, yield, disease condition and insect pest condition of the crop according to the shot picture.
In some embodiments, the method further comprises: displaying at least one of information of a position of the carrier and a track of the carrier.
In some embodiments, the carrier is a vehicle body that travels within the crop growing area; determining the area of the area surrounded by the track of the carrier according to the track of the carrier comprises the following steps: determining the area of the enclosed graph according to the track of the vehicle body, taking the area as a measurement area, and correcting the area according to a measurement error obtained in advance to be used as the area of a crop planting area; wherein the measurement error is determined according to the error between the historical measurement area and the actual area.
The information acquisition device comprises a positioning module, a controller and a control module, wherein the positioning module is used for acquiring the position information of a carrier; and the communication module connected with the controller sends the track of the carrier to the server to determine the area of the area surrounded by the track of the carrier. The carrier runs in the crop planting area and is positioned to draw the track of the carrier, so that the boundary, the shape and the like of the crop planting area can be sensed more accurately compared with a remote sensing technology, and the crop planting area can be determined more accurately.
Other features of the present disclosure and advantages thereof will become apparent from the following detailed description of exemplary embodiments thereof, which proceeds with reference to the accompanying drawings.
Drawings
In order to more clearly illustrate the embodiments of the present disclosure or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present disclosure, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 shows a schematic structural diagram of an information acquisition apparatus according to some embodiments of the present disclosure.
Fig. 2 illustrates a schematic structural view of an information-gathering vehicle of some embodiments of the present disclosure.
Fig. 3 illustrates a schematic view of a crop planting area of some embodiments of the present disclosure.
Fig. 4 shows a schematic structural view of a soil moisture measuring unit of some embodiments of the present disclosure.
Fig. 5 shows a schematic structural diagram of an information acquisition system of some embodiments of the present disclosure.
Fig. 6 illustrates a flow diagram of an information collection method of some embodiments of the present disclosure.
Fig. 7 shows a flow diagram of an information collection method of further embodiments of the present disclosure.
Fig. 8 shows a schematic flow chart of an information collection method according to further embodiments of the present disclosure.
Detailed Description
The technical solutions in the embodiments of the present disclosure will be clearly and completely described below with reference to the drawings in the embodiments of the present disclosure, and it is obvious that the described embodiments are only a part of the embodiments of the present disclosure, and not all of the embodiments. The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way intended to limit the disclosure, its application, or uses. All other embodiments, which can be derived by a person skilled in the art from the embodiments disclosed herein without making any creative effort, shall fall within the protection scope of the present disclosure.
The present disclosure provides an information acquisition device, described below in conjunction with fig. 1.
FIG. 1 is a block diagram of some embodiments of an information collection device of the present disclosure. As shown in fig. 1, the information acquisition apparatus 100 includes: a positioning module 110, a controller 120, and a communication module 130. The controller 120 is connected to the positioning module 110 and the communication module 130, respectively.
The information collection device 100 may be disposed on a carrier, such as a vehicle body, and the present disclosure further provides an information collection vehicle, as described below in conjunction with fig. 2.
FIG. 2 is a block diagram of some embodiments of an information-gathering vehicle of the present disclosure. As shown in fig. 2, the information collecting vehicle 10 includes: the information acquisition device 100 is arranged on the vehicle body 200, and each module can be arranged at different positions. The vehicle body 200 serves as a carrier configured to travel along a preset work route.
The vehicle body 200 can be controlled to run in the field, has controllable speed and can stop according to instructions at any time. The vehicle body 200 may also be configured to travel within the crop planting area according to a preset work route. The information acquisition vehicle can be an automatic driving vehicle or can be improved on the basis of the existing vehicle body of the agricultural vehicle. If the information acquisition vehicle is an automatic driving vehicle, a preset operation route can be configured in advance, and the information acquisition vehicle automatically runs according to the preset operation route. If the information acquisition vehicle is an agricultural vehicle driven by a driver, the information acquisition vehicle can run in the crop planting area according to the preset operation route under the control of the driver. The preset working path may be a circle around the crop planting area or other path capable of covering the crop planting area. For example, the information acquisition vehicle can draw a track in the operation (fertilizer, pesticide, irrigation, farming, etc.), the operation process generally covers the whole crop planting area, the area of the crop planting area is counted in the operation process, and the resource utilization rate is improved. As shown in fig. 2, the operation route of the information collecting vehicle for the plot a may be 0-1-1 ' -0, 1-2-2 ' -1 ' -1, 2-3-3 ' -2 ' -2, 3-4-4 ' -3 ' -3, 4-5-5 ' -4 ' -4, 5-6-6 ' -5 ' -5, 6-7-7 ' -6 ' -6, 7-8-8 ' -7 ' -7, 8-0 ' -8 '.
A positioning module 110 configured to acquire position information of a carrier (e.g., a vehicle body). The support component can be arranged at the position of the vehicle head, the influence of the surrounding environment is reduced, and the support component can be arranged to be higher than the surface of the vehicle head by a preset height (for example, 10 cm-20 cm). The positioning module 110 collects the position information of the vehicle body 200 in Real time, and can realize positioning by using the big dipper, the GPS or the composite technology, or select a differential RTK (Real-time kinematic) system to realize more accurate positioning.
The controller 120 is configured to draw a trajectory of the carrier (e.g., the vehicle body) on the map according to the position information of the carrier acquired by the positioning module. The controller may be implemented in the form of a CPU or MPU (micro processor unit), or the like. A GIS (Geographic Information System) may be configured in the controller 120, and a trajectory of the vehicle body is drawn on a map according to the position Information of the vehicle body to represent the operation range. The controller 120 may also be configured to encapsulate the trajectory data of the vehicle body according to a communication protocol prescribed by the system and transmit the encapsulated trajectory data to the communication module 130.
The communication module 130 is configured to transmit a trajectory of a carrier (e.g., a vehicle body) to a server (e.g., a cloud server) to determine an area of an area (e.g., a crop planting area) enclosed by the trajectory. The communication module 130 may interact with the server through a 3G, 4G, 5G, WiFi, etc. network. The communication module 130 may also receive instructions from the server and send them to the controller 120. The controller 120 turns on or off the positioning module 110 according to the instruction of the server, and starts or stops the determination of the trajectory of the vehicle body.
In some embodiments, the controller 120 may be configured to encapsulate the position information of the carrier (e.g., the vehicle body) acquired by the positioning module according to a corresponding communication protocol, transmit the encapsulated position information to the server through the communication module 130, and map the track of the carrier on the map and determine the area of the crop planting area by the server according to the position information of the carrier.
In some embodiments, the controller 120 may be configured to determine the area of the area enclosed by the trajectory from the trajectory of the carrier. The communication module 130 is configured to transmit an area of the area enclosed by the trajectory to the server.
In some embodiments, the controller 120 may be configured to determine an area of the enclosed pattern from a trajectory of the carrier (e.g., the vehicle body) as a measurement area, and correct the area as an area of the crop planting region based on a previously obtained measurement error determined from an error of a historical measurement area from an actual area. The measurement error can be counted by measuring the measurement area of the exploration land parcel by the historical information acquisition vehicle and combining the actual land parcel area manually counted. For example, as shown in fig. 3, the plot to be determined is A, B, C, D, and for plot a, the statistics of the measured area, the manual count area and the measurement error of the information collecting vehicle are shown in table 1.
TABLE 1
According to table 1, the measurement error of the measured area and the actual area of the information collecting vehicle is about ∑ abs (ρ)/2 — 0.025862. And then the actual areas of the plots B, C and D can be obtained according to the measurement areas and measurement errors of the information acquisition vehicles to the plots B, C and D. Under the condition of more plots and larger areas, the areas of the plots can be measured by combining a remote sensing technology to estimate the areas of the crop planting areas. For example, the measured area of the actual exploration plot of the information acquisition vehicle is compared with the statistical area of the plot corresponding to the remote sensing data for the second time, and the measurement error is introduced to restore the remote sensing data, so that the determination of the area of the large-area crop planting area can be realized. For example, if the area of the land parcel a acquired by the remote sensing method is 1.60 mu, the accuracy of the remote sensing method relative to the information acquisition vehicle is 92.49% (1.6/Σ a 1). If the area of four same crops is 1000 mu counted by remote sensing technology, the area of four crops which can be counted by the information acquisition vehicle can be estimated to be 1081.20 mu (1000/92.49%), and the actual acre is probably 1110.06 mu (1081.20/(1-0.025862)).
The condition that the area of the crop planting area is determined by the information acquisition vehicle is suitable for a 5G scene, and the information acquisition vehicle serving as an edge calculation node can determine the area of the crop planting area on line in real time.
In some embodiments, the information-gathering vehicle 10 may further include: a soil moisture measuring unit 140 provided at the bottom of the vehicle body and connected to the controller, configured to transmit a microwave signal according to an instruction of the controller 120, and receive a signal reflected from the soil; the controller 120 is further configured to determine a moisture content of the soil based on the transmitted microwave signal and the soil reflected signal.
In some embodiments, as shown in fig. 4, the soil moisture measuring unit 140 includes: a cover 141; a signal generator 142 located within the enclosure 141, a transmitting branch 143 connected to the signal generator 142, a receiving branch 144, and an antenna 145 connected to the transmitting branch 143 and the receiving branch 144, respectively. The cover 141 is, for example, cylindrical, and is made of a hard wave-transmitting material, and has a bottom at a predetermined distance from the ground. The rigid wave-transmitting material is, for example, ABS/PVC or the like. The soil moisture measuring unit 140 is protected while the soil moisture measuring unit 140 is normally operated. The predetermined distance is, for example, 15cm to 20 cm. Soil moisture measurement unit 140 may be based on the TDR (Time Domain Reflectometry) principle, for example. The microwave signal emitted by the signal generator 142 has a band of X band and an output power of, for example, 30 dBm.
The transmitting branch 143, which is a transmitting path of the microwave signal, may include a power amplifier, and the transmitting signal is transmitted via the antenna 145. The receiving branch 144 may be used as an electromagnetic wave receiving path after being reflected by soil, and the reflected signal is filtered and amplified by an antenna and then input to the controller 120. The electromagnetic wave signals received by the controller 120 are compared with the transmitted microwave signals to resolve the dielectric constant associated with the soil moisture content and invert the moisture content at each soil depth. The instructions may be received from the cloud server through the communication module 130 to the controller 120, and the controller 120 turns the signal generator 142 on or off, and starts and stops determining the moisture content of the soil, and uploads the moisture content of the soil to the server via the communication module 130.
In some embodiments, the controller 120 is further configured to control the signal generator 142 to generate microwave signals of different powers, and determine the moisture content of the soil at different depths based on the microwave signals of the various powers and corresponding soil reflected signals. The transmitting power corresponding to different soil depths can be tested in advance, so as to determine preset transmitting power corresponding to various required soil depths, and during actual measurement, the controller 120 controls the microwave signal of the preset transmitting power generated by the signal generator 142 according to the preset transmitting power.
In some embodiments, the controller 120 is further configured to determine whether the vehicle body 200 reaches a preset position according to the position information of the vehicle body 200 determined by the positioning module 110, and in case of reaching the preset position, the control signal generator 142 generates a microwave signal to determine the moisture content of the soil at the preset position. The controller 120 may control the signal generator 142 to generate microwave signals at different preset positions, so as to determine the moisture content of the soil at each preset position, and obtain the distribution of the moisture content of the soil at different preset positions and different depths.
In some embodiments, the information-gathering vehicle 10 further includes: an image acquisition module 150 configured to take a picture according to an instruction of the controller 120. The image capturing module 150 is, for example, a camera, and may be disposed above one end of the side surface of the vehicle body 200 close to the head of the vehicle or above one end of the side surface close to the tail of the vehicle, and the specific height and position of the image capturing module 150 disposed on the side surface of the vehicle body 200 may be adjusted according to the height of the crop. The communication module 130 is further configured to transmit the photographed picture to a server to identify at least one of a kind, maturity, yield, disease condition, and pest condition of the crop. The communication module 130 may also be configured to receive an instruction sent by the server and send the instruction to the controller 120, and the controller 120 turns on or off the image capturing module 150 according to the instruction of the server.
In some embodiments, the controller 120 is further configured to determine whether the vehicle body 200 reaches a preset picture capturing point according to the position information of the vehicle body 200 determined by the positioning module 110, and send a command to take a picture to the image capturing module 150 in case of reaching the preset picture capturing point. Different picture acquisition points are preset, so that the information acquisition vehicle can acquire pictures at all positions in the crop planting area at equal intervals or uniformly for analyzing various information of subsequent crops.
In a 5G scenario, the information collecting vehicle 10 may serve as an edge computing node, and the controller 120 is configured to identify at least one of the crop type, maturity, yield, disease condition and pest condition according to the photographed image, and transmit the identification result to the server. Alternatively, the controller 120 is configured to pre-process the captured picture, such as noise reduction, quantization, etc., and transmit the pre-processed picture to the server to identify at least one of a type, maturity, yield, disease condition, and pest condition of the crop. The pretreatment process can be selectively set according to actual requirements.
In some embodiments, the controller 120 is configured to pre-process the captured picture, extract features from the pre-processed picture, match the extracted features with features of various kinds of crops in the database, and determine the kind of the crop according to the matching result. For another example, the first machine learning model may be trained using pictures of various crops, and the controller 120 may be configured to pre-process the captured pictures, input the pre-processed pictures into the trained first machine learning model, and obtain the type of the output crop. The identification of the crop species can also be achieved by various methods of the prior art, which are not described herein.
In some embodiments, the controller 120 is configured to pre-process the captured picture to obtain a grayed image of the picture, compare the grayscale values of the pixel points in each grayed image of the same kind of crop with grayscale ranges corresponding to various maturity degrees of the kind of crop, and determine the number of the pixel points belonging to different grayscale ranges. Counting the total number of pixel points belonging to different gray scale ranges in all gray scale images of the same kind of crops, and determining the maturity corresponding to the gray scale range with the maximum total number as the current maturity of the kind of crops. Further, the controller 120 is configured to determine the maturity date of the crop based on the current maturity. For another example, the second machine learning model may be trained using pictures of various ripeness degrees of the crops, and the controller 120 is configured to pre-process the captured pictures, input the pre-processed pictures into the trained second machine learning model, and obtain the ripeness degree of the output crops. The identification of the maturity of the crop can also be achieved by various methods of the prior art, which are not described herein.
In some embodiments, the controller 120 is configured to control the image capturing module 150 to capture a preset number of pictures at equal intervals in a crop planting area according to the position information of the vehicle body, and identify the number of fruits or seeds in each picture after preprocessing the captured pictures. And counting the quantity of fruits or seeds in unit area, and correcting according to the prediction error to obtain the yield prediction in unit area. The prediction error is obtained by counting the number of fruits or seeds in a unit area according to the pictures shot in history and comparing the number of the fruits or seeds in the unit area with the number of the fruits or seeds in the actual unit area. For example, the pictures may be input into a third machine learning model, resulting in the number of fruits or kernels identified in each picture. The prediction of crop yield can also be achieved using various methods of the prior art, which are not described herein.
In some embodiments, the controller 120 is configured to determine a fourth machine learning model corresponding to the category according to the category of the crop, and input a picture of the category into the fourth machine learning model after preprocessing, so as to obtain at least one of a category and a degree of a disease of the crop. The fourth machine learning models corresponding to different types of crops may be different, and the fourth machine learning models may be, for example, classification models (e.g., convolutional neural networks, support vector machines, etc.), which are trained from sample images of various diseases of the types of crops. For example, after the picture is input into the fourth machine learning model, the characteristics of the leaf surface or the fruit can be extracted, and the type and the degree of the disease can be determined according to the characteristics of the leaf surface or the fruit. The determination of the crop disease condition can also be realized by various methods in the prior art, which are not described herein again.
In some embodiments, controller 120 is configured to preprocess the pictures for input into a fifth machine learning model, resulting in a pest type. The fifth machine learning model is, for example, a classification model, and may be trained from sample images of various pests. The determination of the pest situation of crops can also be realized by various methods in the prior art, and the details are not repeated herein.
Because the information acquisition car can be closely accurate the image of shooting the crop, the image that shoots for the remote sensing is more clear accurate, and is more accurate to kind, maturity, output, disease condition and the insect pest condition of discernment crop.
The information acquisition vehicle comprises a vehicle body, a positioning module, a controller and a communication module, wherein the positioning module, the controller and the communication module are arranged on the vehicle body, the vehicle body is configured to run in a crop planting area according to a preset operation route, the controller is configured to draw a track of the vehicle body on a map according to the position information of the vehicle body acquired by the positioning module, and the communication module is configured to send the track of the vehicle body to a server to determine the area of the crop planting area. The information acquisition vehicle runs in the crop planting area and positions and draws the track of the vehicle body, so that the boundary, the shape and the like of the crop planting area can be sensed more accurately compared with a remote sensing technology, and the crop planting area can be determined more accurately.
Furthermore, the information acquisition vehicle can also detect the soil moisture content, obtain the moisture distribution data in the crop planting area, and pertinently guide agricultural production. And the images in the crop planting area can be dynamically collected, the identification of the types, maturity, yield, disease conditions, insect pest conditions and the like of the crops can be realized through a server or locally, the identification accuracy is improved, and the agricultural production is guided in a targeted manner.
In some embodiments, the information collecting apparatus 100 may further include a display 160 configured to display at least one of information of a position of the carrier and a trajectory of the carrier. The display is convenient for staff and drivers to check the motion condition of the information acquisition vehicle. Further, the display 160 may also be configured to display at least one of area, soil moisture content, crop type, maturity, yield, disease condition, and pest condition.
The controller 120 in the above embodiment may include a plurality of controllers for determining a trajectory of the carrier or an area of the crop planting area, for determining a moisture content of the soil, and for identifying at least one of a type, a maturity, a yield, a disease condition, and a pest condition of the crop, respectively.
The present disclosure also provides an information acquisition system, described below in conjunction with fig. 5.
FIG. 5 is a block diagram of some embodiments of the information gathering system of the present disclosure. As shown in fig. 5, the system 5 of this embodiment includes: the information collection vehicle 10 of any of the foregoing embodiments, and the server 52, are configured to receive the trajectory of the vehicle body 200 sent by the communication module 130 of the information collection vehicle 10, and determine the area of the area surrounded by the trajectory of the vehicle body 200 according to the trajectory of the vehicle body 200.
In some embodiments, the server 52 is configured to determine the area of the enclosed graph according to the track of the vehicle body 200 as a measurement area, and correct the area according to a measurement error obtained in advance as the area of the crop planting area; wherein the measurement error is determined according to the error between the historical measurement area and the actual area. For a specific implementation, reference may be made to the implementation of the controller 120 in the foregoing embodiment, and details are not described here.
In some embodiments, the server 52 is configured to receive pictures taken by the information-gathering vehicle 10 and determine at least one of the type of crop, maturity, yield, type of disease, type of pest from the pictures. For a specific implementation, reference may be made to the implementation of the controller 120 in the foregoing embodiment, and details are not described here.
In some embodiments, the system 5 further comprises: and the client 54, wherein the client 54 is configured to receive and display at least one of the area of the crop planting area, the moisture content of the soil, the type, the maturity, the yield, the type of the disease and the type of the pest sent by the server 52. The client 54 may be configured to query the agricultural information, send a query instruction to the server 52, including information to be queried, and receive and display information returned by the server 52.
The present disclosure also provides an information collecting method, which is described below with reference to fig. 6.
Fig. 6 is a flow chart of some embodiments of the disclosed information collection method. As shown in fig. 6, the method of this embodiment includes: steps S602 to S606.
In step S602, position information of the carrier is acquired. May be implemented by the location module 110 in the information collection device 100.
In step S604, the trajectory of the carrier is drawn on the map according to the acquired position information of the carrier. May be implemented by the controller 120 in the information collecting apparatus 100.
In step S606, the area of the region surrounded by the carrier trajectory is determined from the carrier trajectory. The information acquisition device 100 may be implemented by the controller 120, or the communication module 130 may send the track of the carrier to the server 52, and the server 52 determines the area of the area surrounded by the track of the carrier according to the track of the carrier.
In some embodiments, the carrier is a cart 200, which travels within a crop growing area; determining the area of the enclosed graph according to the track of the vehicle body, taking the area as a measurement area, and correcting the area according to a measurement error obtained in advance to be used as the area of a crop planting area; wherein the measurement error is determined according to the error between the historical measurement area and the actual area. For the specific method, reference may be made to the foregoing embodiments, which are not described herein again.
FIG. 7 is a flow chart of further embodiments of the information gathering method of the present disclosure. As shown in fig. 7, the method of this embodiment includes: steps S702 to S706.
In step S702, the microwave signal emitted to the soil may be implemented by the soil moisture measuring unit 140 in the information collecting apparatus 100.
In step S704, a signal reflected by the soil is received; may be implemented by the soil moisture measuring unit 140 in the information collecting apparatus 100.
In step S706, determining the moisture content of the soil according to the transmitted microwave signal and the soil reflected signal may be implemented by the controller 120 in the information collecting apparatus 100, or the transmitted microwave signal and the soil reflected signal may be sent to the server 52 by the communication module 130 and implemented by the server 52.
In some embodiments, microwave signals of different powers are generated and transmitted; and determining the moisture content of the soil at different depths according to the microwave signals with various powers and the corresponding signals reflected by the soil.
In some embodiments, it is determined whether the carrier reaches a preset position according to the position information of the carrier, and in case of reaching the preset position, the microwave signal is transmitted.
FIG. 8 is a flow chart of yet other embodiments of the disclosed information collection method. As shown in fig. 8, the method of this embodiment includes: steps S802 to S804.
In step S802, in the case where the carrier is traveling in the crop planting area, a picture is taken, which may be implemented by the image capturing module 150 in the information capturing apparatus 100.
In step S804, at least one of the type, maturity, yield, disease condition and pest condition of the crop is identified according to the captured picture, which may be implemented by the controller 120 in the information collecting apparatus 100, or the captured picture may be transmitted to the server 54 by the communication module 130 and implemented by the server 54.
In some embodiments, the method further comprises: and displaying at least one item of information of the position of the carrier, the track of the carrier, the moisture content of soil, the type, the maturity, the yield, the disease condition and the insect pest condition of the crop.
As will be appreciated by one skilled in the art, embodiments of the present disclosure may be provided as a method, system, or computer program product. Accordingly, the present disclosure may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present disclosure may take the form of a computer program product embodied on one or more computer-usable non-transitory storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present disclosure is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the disclosure. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The above description is only exemplary of the present disclosure and is not intended to limit the present disclosure, so that any modification, equivalent replacement, or improvement made within the spirit and principle of the present disclosure should be included in the scope of the present disclosure.
Claims (20)
1. An information acquisition apparatus comprising:
a positioning module configured to acquire position information of a carrier;
the controller is connected with the positioning module and is configured to draw a track of the carrier on a map according to the position information of the carrier acquired by the positioning module; and
a communication module connected with the controller and configured to send the track of the carrier to a server to determine the area of the area surrounded by the track of the carrier.
2. The information acquisition apparatus according to claim 1, further comprising:
a soil moisture measuring unit connected with the controller, configured to transmit a microwave signal according to an instruction of the controller, and receive a signal reflected by soil;
the controller is further configured to determine a moisture content of the soil based on the transmitted microwave signal and the soil reflected signal.
3. The information collecting apparatus according to claim 2, wherein the soil moisture measuring unit includes:
a cover body;
the antenna comprises a signal generator positioned in the cover body, a transmitting branch connected with the signal generator, a receiving branch and an antenna connected with the transmitting branch and the receiving branch respectively.
4. The information acquisition apparatus according to claim 3,
the controller is also configured to control the signal generator to generate microwave signals of different powers, and determine the moisture content of the soil at different depths according to the microwave signals of various powers and corresponding soil reflected signals.
5. The information acquisition apparatus according to claim 3,
the controller is further configured to judge whether the carrier reaches a preset position according to the position information of the carrier determined by the positioning module, and control the signal generator to generate a microwave signal to determine the moisture content of the soil at the preset position when the carrier reaches the preset position.
6. The information acquisition apparatus according to claim 3,
the wave band of the microwave signal is an X wave band;
the cover body is made of hard wave-transmitting materials, and the distance from the bottom to the ground is a preset distance.
7. The information-gathering device as recited in claim 1, wherein the carrier travels within a crop-growing area, the information-gathering device further comprising:
an image acquisition module configured to take a picture according to an instruction of the controller;
the communication module is further configured to transmit the captured picture to a server to identify at least one of a type, maturity, yield, disease condition, and pest condition of the crop.
8. The information acquisition apparatus according to claim 1, further comprising:
the display is configured to display at least one of information of a position of the carrier and a trajectory of the carrier.
9. An information-gathering vehicle comprising: the information acquisition apparatus of any one of claims 1-8; and
the vehicle body is used as the carrier and is configured to run according to a preset working route;
wherein, the information acquisition device is arranged on the vehicle body.
10. The information-collecting vehicle according to claim 9,
the soil moisture measuring unit is arranged at the bottom of the vehicle body.
11. An information acquisition system comprising: the information-gathering vehicle of any one of claims 9-10; and
the server is configured to receive the track of the vehicle body sent by the communication module of the information acquisition vehicle, and determine the area of an area surrounded by the track of the vehicle body according to the track of the vehicle body.
12. The information collection system of claim 11, wherein the information collection cart travels within a crop planting area;
the server is configured to determine the area of the enclosed graph according to the track of the vehicle body to serve as a measurement area, and correct the area according to a measurement error obtained in advance to serve as the area of the crop planting area;
wherein the measurement error is determined according to the error of the historical measurement area and the actual area.
13. The information acquisition system according to claim 11,
the server is further configured to receive pictures taken by the information acquisition vehicle, and determine at least one of the type, maturity, yield, type of disease, type of pest of the crop according to the pictures.
14. An information acquisition method comprising:
acquiring position information of a carrier;
drawing a track of the carrier on a map according to the acquired position information of the carrier;
and determining the area of a region surrounded by the carrier track according to the carrier track.
15. The information acquisition method as claimed in claim 14, further comprising:
transmitting microwave signals to the soil and receiving signals reflected by the soil;
and determining the moisture content of the soil according to the transmitted microwave signal and the signal reflected by the soil.
16. The information collecting method according to claim 15,
the transmitted microwave signal includes:
generating microwave signals with different powers and transmitting the microwave signals;
determining the moisture content of the soil based on the transmitted microwave signal and the signal reflected by the soil comprises:
and determining the moisture content of the soil at different depths according to the microwave signals with various powers and the corresponding signals reflected by the soil.
17. The information collecting method according to claim 15,
the transmitted microwave signal includes:
and judging whether the carrier reaches a preset position or not according to the position information of the carrier, and transmitting a microwave signal under the condition of reaching the preset position.
18. The information acquisition method as claimed in claim 14, further comprising:
taking pictures under the condition that the carrier runs in the crop planting area;
and identifying at least one of the type, maturity, yield, disease condition and insect pest condition of the crop according to the shot picture.
19. The information acquisition method as claimed in claim 14, further comprising:
and displaying at least one item of information of the position of the carrier and the track of the carrier.
20. The information acquisition method according to claim 14, wherein the carrier is a vehicle body that travels within a crop planting area;
the determining the area of the region surrounded by the carrier track according to the carrier track comprises:
determining the area of the enclosed graph as a measurement area according to the track of the vehicle body, and correcting the area as the area of the crop planting area according to a measurement error obtained in advance;
wherein the measurement error is determined according to the error of the historical measurement area and the actual area.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202010436901.0A CN113705282A (en) | 2020-05-21 | 2020-05-21 | Information acquisition device, system and method and information acquisition vehicle |
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| CN202010436901.0A CN113705282A (en) | 2020-05-21 | 2020-05-21 | Information acquisition device, system and method and information acquisition vehicle |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN115187170A (en) * | 2022-07-12 | 2022-10-14 | 深圳市泰洲科技有限公司 | Seamless clearance system and use method thereof |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN115187170A (en) * | 2022-07-12 | 2022-10-14 | 深圳市泰洲科技有限公司 | Seamless clearance system and use method thereof |
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