CN117853903A - Cross-platform crop phenotype data acquisition and processing system and method for biological breeding - Google Patents

Cross-platform crop phenotype data acquisition and processing system and method for biological breeding Download PDF

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CN117853903A
CN117853903A CN202311698416.0A CN202311698416A CN117853903A CN 117853903 A CN117853903 A CN 117853903A CN 202311698416 A CN202311698416 A CN 202311698416A CN 117853903 A CN117853903 A CN 117853903A
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phenotype
crop
acquisition
data acquisition
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刘守阳
胡明明
张萌
韩瑞玺
王旭
王松寒
丁艳锋
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Sanya Research Institute Of Nanjing Agricultural University
Nanjing Agricultural University
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Nanjing Agricultural University
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Abstract

Biological breeding-oriented cross-platform crop phenotype data acquisition and processing system and method, wherein the system comprises the following steps: the data acquisition device comprises image acquisition equipment and is used for acquiring pictures containing crop phenotype information; the phenotype data transmission device is in communication connection with the data acquisition device, and performs information labeling on the pictures containing the crop phenotype information acquired by the data acquisition device so as to obtain crop phenotype digital picture data; the standardized data storage management system uses OpenSilex to normalize and standardize data; the phenotypic data character extraction and analysis device is a server deployed at the cloud end and is in communication connection with the standardized data storage management system for analyzing the phenotypic characters of crops; the phenotype data transmission device also comprises a positioning module which is used for accurately positioning the acquisition operation position of the data acquisition device so as to determine the crop position corresponding to the picture containing the crop phenotype information acquired by the data acquisition device.

Description

Cross-platform crop phenotype data acquisition and processing system and method for biological breeding
Technical Field
The invention relates to a cross-platform crop phenotype data acquisition and processing system and method for biological breeding, in particular to a full-flow solution for acquisition, processing and management of cross-platform crop phenotype data for breeding, belonging to the technical field of intelligent agriculture in the agricultural information technology.
Background
Crop phenotype, i.e., the plant phenotype of a crop. In the fields of biology and genetic breeding, in particular crop breeding, phenotype refers to the external traits of organisms such as shape, structure, size, color, etc., determined by genotype and environment. Phenotype group refers to all trait characteristics of an organism, not limited to agronomic traits, but also concerns about the physiological state exhibited by a plant. With the end of most whole genome sequencing representing plants, researchers are increasingly aware of the importance of plant phenotype studies and refer to the "histology" height.
Analysis of plant phenotypic parameters is closely related to breeding. The traditional phenotype data is mainly obtained by manually measuring and photographing and then introducing the obtained phenotype data into a computer for software analysis, namely, indexes such as the diameter, the leaf length, the leaf number and the like of the plant are obtained by manually measuring, and indexes such as the leaf length, the leaf width, the leaf area and the leaf inclination angle of the plant are obtained by photographing and then analyzing the obtained phenotype data by software or a leaf area meter. These measurements all require a lot of time, the accuracy of the measurement results is low, the work is tedious, the workload is large, and these disadvantages greatly limit the efficiency of large-scale genetic breeding screening. In addition, the traditional methods adopted in China can only obtain partial indexes of plant phenotypes, the selection of excellent plant types and the like can only be selected by experience of scientific researchers, and the selection standards of each person are different and even very different, so that statistics cannot be achieved. In view of the large amount of plant phenotyping data, the combination of the phenotype information has great significance to the study of functional genomics, and the work must be completed by relying on an accurate and scientific high-throughput plant phenotype platform.
Therefore, crop phenotype has important significance in breeding research. In traditional breeding studies, crop phenotype information is needed to aid in the breeding study. Because breeding often involves a large amount of variety information, traditional mode needs a large amount of manpower, material resources to carry out manual collection and record, this to greatly reduced breeding efficiency. As phenotyping evolves, the collection of phenotypic data in a study of phenotyping is also critical. After data acquisition, transmission and management are needed, and further analysis is performed to obtain phenotypic traits or parameters. Automation of the entire workflow of phenotype data collection, transmission, analysis greatly improves the development of phenotypic and breeding studies.
Data acquisition involves the acquisition of phenotypic information for a large number of fields, and in order to cope with this need, solutions have emerged that use some mobile phone devices to assist in acquiring phenotypic information. For example, chinese patent CN 202111037608.8 of the university of south-Beijing agriculture proposes a system and a method for analyzing a crop phenotype cloud platform, wherein a front-end acquisition system acquires image data of a crop to be tested, a cloud platform management system is used for setting a data analysis flow and storing the image data of the crop to be tested, and a cloud computing analysis system extracts phenotype characteristic information of the crop to be tested according to the image data of the crop to be tested based on the set data analysis flow. But this presents some problems. Taking a typical field phenotype data acquisition scene as an example, a plurality of phenotype data acquisition personnel need to move in the field at the same time and then switch to the area of the next field on a mobile phone application program, and the mode needs to move and switch the acquisition personnel in different fields, so that data confusion is very easy to cause under field operation conditions. In addition, the acquired data needs to be transmitted to a corresponding processing pipeline in time to acquire phenotypic characters or parameters for analysis, and high requirements are put on the quality and the integrity of the acquired data and the accuracy of data matching.
Therefore, the existing crop phenotype data acquisition has the problems of low acquisition efficiency, large error, more repeated labor and the like. Meanwhile, the time consumption and the precision of manual collection are difficult to control; the mobile equipment is used for collecting and has the difficulties of inconvenient switching and positioning, unstable on-site network transmission and the like, so that the acquisition of large-scale phenotype data is severely restricted, and the requirements of the fields of breeding and the like cannot be met.
Disclosure of Invention
Accordingly, in order to solve the above-mentioned shortcomings and drawbacks of the prior art, the present invention provides a cross-platform crop phenotype data acquisition and processing system for biological breeding, comprising: the data acquisition device comprises cross-platform image acquisition equipment, and acquires pictures containing crop phenotype information in a mode of shooting images; the image acquisition equipment comprises ground handheld equipment and vehicle-mounted equipment; the phenotype data transmission device is in communication connection with the data acquisition device, and performs information labeling on the pictures containing the crop phenotype information acquired by the data acquisition device so as to obtain crop phenotype digital picture data; the standardized data storage management system performs standardized and standardized data storage management by using OpenSilex, is in communication connection with the phenotype data transmission device, and performs standardized and standardized storage management on the data after obtaining crop phenotype digital picture data transmitted by the phenotype data transmission device; the phenotype data character extraction and analysis device is a server deployed at the cloud end, is in communication connection with the standardized data storage management system, and performs crop phenotype character analysis after obtaining crop phenotype digital picture data transmitted by the standardized data storage management system; the phenotype data transmission device further comprises a positioning module which is used for accurately positioning the acquisition operation position of the data acquisition device so as to determine the crop position corresponding to the picture containing the crop phenotype information acquired by the data acquisition device.
In the above technical solution, each image capturing device includes at least two lightweight high-precision industrial-grade cameras.
In the above technical solution, the ground handheld device includes a bracket, where the bracket includes a cross bar and a vertical bar that are connected to each other, and industrial cameras are respectively installed on the cross bar and the vertical bar, where a photographing angle of the industrial camera installed on the cross bar is a horizontal angle parallel to the ground, and the industrial camera installed on the vertical bar is at a certain inclination angle with the ground, so as to collect crop phenotype data from multiple angles; the vehicle-mounted equipment comprises a portal frame type movable platform, and the industrial camera is mounted on the portal frame type movable platform and can move in the field according to a specified route to automatically collect crop phenotype data.
In the above technical solution, the positioning module corresponding to the ground handheld device includes one or more of beidou positioning, GPS positioning, wireless base station positioning, and bluetooth beacon positioning; the positioning module corresponding to the vehicle-mounted equipment comprises one or more of Beidou positioning, GNSS positioning and GPS positioning.
In the above technical solution, the positioning module corresponding to the ground handheld device identifies the picture containing the crop phenotype information to determine the type of the photographed plant, and further determines the information of the collecting operation cell corresponding to the type of the plant, so as to perform pre-judgment and/or auxiliary calibration on the determined coordinate position; the positioning module corresponding to the vehicle-mounted equipment utilizes the positioning module to position the equipment and identifies plants in the operation cell so as to determine the operation cell where the vehicle-mounted equipment is located, thereby performing pre-judgment and/or auxiliary calibration on the determined coordinate position.
In the above technical solution, the positioning module further performs joint calibration on the position of the acquisition operation by using the sequence of travel tracks when acquiring the picture containing the crop phenotype information.
In the above technical solution, the information labeling is performed on the picture containing the crop phenotype information obtained by the data acquisition device, where the labeled information includes: the collected one or more of the working cell number, the working cell serial number, the working cell name, the working cell coordinate area range, the collection time, the collection times, the type of the collection camera, the position and the angle of the collection camera, the crop type, the crop name, the crop breeding information, the collection platform type, the collection platform name and the collection platform related information.
In the technical scheme, the phenotype data character extraction and analysis device is used for carrying out high-throughput automatic analysis on crop phenotype digital picture data based on a deep learning model built by an MMCV module of a SegFormer framework and outputting a crop phenotype evaluation report.
The invention provides a biological breeding-oriented cross-platform crop phenotype data acquisition and processing method, which is based on the biological breeding-oriented cross-platform crop phenotype data acquisition and processing system in the technical scheme, and comprises the following steps:
step S310, when the data acquisition device is a ground handheld device, an acquisition person carries the data acquisition device and the phenotype data transmission device to come to a certain operation district, a software App of the phenotype data transmission device is opened to start acquisition, and when the data acquisition device moves to a proper position, the phenotype data of each crop in the certain operation district is shot; when the data acquisition device is a vehicle-mounted device, an acquisition personnel plans an acquisition route for the vehicle-mounted device, adjusts device parameters, and the vehicle-mounted device carries a phenotype data transmission device to come to a certain operation cell, automatically operates according to the acquisition route and acquires crop phenotype data of the certain operation cell; the positioning module of the phenotype data transmission device is used for positioning the position of the data acquisition device when the crop phenotype data is acquired;
step S320, the collector leaves one operation cell to another operation cell with the data collection device and the phenotype data transmission device; when the data acquisition device is a ground handheld device, when an acquisition person leaves a certain operation cell, the software App of the phenotype data transmission device prompts to confirm all acquired crop phenotype picture data of the certain operation cell which has completed acquisition operation; when a collector arrives at another operation cell, the data acquisition device acquires the phenotype data of each crop in the other operation cell; when the data acquisition device is a vehicle-mounted device, after the vehicle-mounted device completes acquisition according to an acquisition route, the software App of the phenotype data transmission device prompts to confirm all acquired crop phenotype picture data of the district on the acquisition route, wherein the acquisition operation of the district is completed; when an acquisition personnel arrives at another operation cell, the acquisition personnel plan an acquisition route for the vehicle-mounted equipment again, and the data acquisition device acquires phenotype data of each crop in the other cell according to the planned acquisition route again; the positioning module of the phenotype data transmission device is used for positioning the position of the data acquisition device when the crop phenotype data is acquired;
step S330, repeating step S320, and sequentially carrying out positioning and shooting acquisition operation on each operation cell in the field to be detected;
and step S340, after all the operation cells are collected, uploading the data of all the operation cells to a standardized data storage management system by using a phenotype data transmission device for management, and then carrying out relevant analysis in a phenotype data character extraction analysis device.
In the above technical solution, when the phenotype data extracting and analyzing device processes the phenotype data of the crop transmitted from the standardized data storage management system, the process includes:
step S410, the phenotype data character extraction analysis device automatically distinguishes the data of different operation cells according to the operation cell serial numbers;
step S420, the phenotype data character extraction and analysis device extracts and analyzes the crop phenotype characteristics of the image data to obtain the operation phenotype parameters of each variety;
step S430, the phenotype data character extraction and analysis device finally forms a crop phenotype evaluation report of each crop variety.
Compared with the prior art, the invention has the beneficial effects that:
1. and customized lightweight collection equipment is adopted, so that data collection can be conveniently carried out in the field.
2. The precision of the acquisition of the crop phenotype data is greatly improved by adopting the high-precision positioning equipment and the industrial camera, the error can be controlled within the centimeter (cm) level, the high-precision positioning equipment provides positioning information for the acquired crop phenotype data, a checking means is provided for the quality control of the acquired data, and the accuracy of the acquisition of the phenotype data is improved.
3. By adopting a wireless network real-time transmission technology, the problem of unstable network connection is solved, the immediate transmission and analysis of phenotype data are realized, unqualified acquisition data can be timely found so as to be acquired again, and the efficiency of data acquisition and processing is improved.
4. The cloud intelligent analysis improves the data processing capacity, and a single system can meet the phenotypic analysis requirement and can be used in a plurality of related fields such as plant protection.
Drawings
Fig. 1 is a schematic connection diagram of functional modules of a cross-platform crop phenotype data acquisition and processing system for biological breeding.
Detailed Description
The present invention is described in detail by the following preferred embodiments, which are intended to illustrate the present invention in detail, but should not be construed as limiting the invention, and various changes and modifications can be made without departing from the spirit and the essential scope thereof, which are intended to be included within the scope of the present invention.
In order to solve the above technical problems, the present invention provides a cross-platform crop phenotype data acquisition and processing system for biological breeding, which comprises a data acquisition device 10, a phenotype data transmission device 20, a standardized data storage management system 30 and a phenotype data character extraction and analysis device 40.
The data acquisition device 10 is customized data acquisition equipment, and comprises a ground handheld device, vehicle-mounted equipment and other various platforms, wherein the hardware of the ground handheld device comprises image acquisition equipment and a metal bracket; the hardware of the vehicle-mounted equipment comprises image acquisition equipment and a portal frame type platform.
The focus of the collection may vary from one collection platform to another, such as ground handhelds and vehicle-mounted devices. For ground handheld equipment, the ground handheld equipment has the advantages of simplicity, portability and lower cost, and can conveniently collect data at a plurality of places and angles; for vehicle-mounted equipment, the method has the advantage that high-throughput data acquisition can be manually or automatically performed. In the breeding process, due to the diversity of breeding materials and ecological points, different acquisition platforms are required to be matched so as to utilize the advantages and characteristics of the different acquisition platforms.
The image capturing devices provided on the ground handheld device and the vehicle-mounted device may be industrial cameras, or may be cameras or camera modules of a smart phone, typically, industrial cameras, such as sony RX0, pixel 20MEG pixels, and the ground handheld device and the vehicle-mounted device may be provided with two to three cameras or more cameras as required. The metal bracket comprises a cross rod 11 and a vertical rod 12 which are connected with each other, and the metal bracket is respectively used for carrying light high-precision cameras so as to acquire phenotype data of a plurality of angles, wherein the two to three industrial cameras are respectively arranged on the cross rod 11 and the vertical rod 12, the shooting angle of the industrial camera 13 arranged on the cross rod 11 is a horizontal angle parallel to the ground, and the industrial camera 14 arranged on the vertical rod 12 is inclined at an angle of about 45 degrees with the ground. The portal frame type platform comprises four upright posts 15 and two cross beams 16, and is provided with an electric sliding table 17 for carrying a lightweight high-precision camera so as to acquire phenotype data from multiple angles. The electric slide 17 is provided with a camera mount to which a plurality of cameras can be fixed and connected. The two to three industrial cameras 18 are respectively installed on the electric sliding table 17 through the electric cradle head, and the collection personnel can control the specific position and the inclination angle of the electric sliding table 17 through the remote controller, so that the shooting angle of the cameras is adjusted.
The phenotype data transmission device 20 is used as a transmission module, is connected with the multi-platform data acquisition device 10, and is used for transmitting the crop phenotype data with positioning information acquired by the data acquisition device 10 to the standardized data storage management system 30 for data storage management, and the phenotype data character extraction analysis device 40 is used for carrying out relevant analysis. Preferably, the phenotype data transmission device 20 may be a smart phone, and accordingly, software APP for implementing relevant functions thereof runs on the smart phone, and the operating system may be an Android system, an iOS system, a hong mons OS system, an embedded industrial operating system, or the like.
The phenotype data transmission device 20 further comprises a positioning module, wherein the positioning module comprises a plurality of positioning modes such as Beidou positioning or GPS positioning, wireless base station positioning and the like. The positioning module is used for realizing accurate positioning of the data acquisition device 10, identifying different cameras according to uuid, and giving the position of each camera so as to determine the position of the data acquisition device 10 relative to each field; by using Beidou positioning, the positioning accuracy index can reach cm level, different field blocks to be detected can be well distinguished, and acquisition operation cells divided in the same field block to be detected can be distinguished.
When the data acquisition device 10 is a ground handheld device, the phenotype data transmission device 20 is carried with the operator of the handheld ground handheld device; when the data acquisition device 10 is an in-vehicle apparatus, the phenotype data transmission device 20 is mounted on the in-vehicle apparatus.
Preferably, the phenotype data transmission device 20 communicates with the data acquisition device 10 through a wireless network, and transmits data acquired by platforms such as ground handheld devices and vehicle-mounted devices, for example, communicates with the APP of the smart phone through a WIFI communication interface of the industrial camera, and transmits and marks original images acquired on each industrial camera to the smart phone, where the marking information includes a corresponding acquired operation cell number/serial number, an operation cell name, an operation cell coordinate area, an acquisition time, a model of the acquisition camera, a position and an angle of the acquisition camera, a crop type, a crop name, crop breeding information, an acquisition platform type, an acquisition platform name, acquisition platform related information, and the like. Thus, when the data acquisition device 10 is operated by the acquisition personnel to perform the crop phenotype data acquisition operation, the determination and the switching of the field to be detected and/or the acquisition operation cell can be completed by the positioning information of the positioning module of the phenotype data transmission device 20 only when the acquisition personnel need to move to a certain field to be detected, and the acquired crop phenotype data can be corresponding to the field to be detected and/or the acquisition operation cell by directly performing the acquisition of the crop phenotype data by the acquisition personnel. Typically, the data acquisition device 10 acquires the obtained crop phenotype data corresponding to the positioning information, such as the crop phenotype digital picture data with the positioning information and the shooting angle.
When the phenotype data transmission device 20 is preferably a smart phone device, after the collection personnel completes the collection of the crop phenotype data, the collected and obtained crop phenotype data, such as a crop phenotype picture marked with the collected information, can be transmitted to the standardized data storage management system 30 at the rear end by clicking an upload button on the software APP. The software APP running on the smart phone is used for parameter configuration, equipment control, image acquisition and wireless transmission. The software APP is also provided with a functional module for presetting the coordinate ranges of all cells, namely a configuration module, so that the phenotype data can be automatically corresponding to the crop varieties planted in the corresponding acquisition cells.
In particular, when the data acquisition device 10 is an in-vehicle device, the acquisition personnel sets the sensor-triggered position and exposure period in the configuration module of the smart phone software App of the phenotype data transmission device 20. When the crop phenotype data is acquired, the sensor automatically acquires the data when the vehicle-mounted equipment reaches the acquisition point. The acquired personnel may view the acquired data, including but not limited to RGB data, multispectral data, and lidar data, presented in the form of images and/or data files, on the phenotypic data transfer device 20. Because the collection route of the vehicle-mounted equipment is preset, when the vehicle-mounted equipment completes the data collection of the cells on the collection route, the software APP prompts the collection to be completed, and the collected and obtained crop phenotype data, such as crop phenotype pictures after the collection information is marked, can be transmitted to the standardized data storage management system 30 at the rear end by clicking an uploading button on the software APP.
The standardized data storage management system 30 performs standardized and standardized data storage management by using OpenSilex, and is in communication connection with the phenotype data transmission device, and performs standardized and standardized storage management on the data after obtaining the crop phenotype digital picture data transmitted by the phenotype data transmission device.
The phenotype data trait extraction and analysis device 40 is a server deployed in the cloud, and performs crop phenotype trait analysis on the obtained data after obtaining the crop phenotype data transmitted from the standardized data storage management system 30, for example, extracts crop trait parameters by using a deep learning and machine learning based method. Preferably, the cloud server builds a deep learning model based on MMCV modules of a SegFormer framework, performs high-throughput automatic analysis of crop phenotype data images, outputs crop phenotype evaluation reports, and further performs data mining and knowledge discovery.
The positioning module of the phenotype data transmission device 20 further comprises a module for identifying the acquired crop phenotype digital picture data on the basis of satellite positioning to determine the type of the shot plant, and the coordinate position determined by the configured coordinates and name of the acquisition operation cell, the serial number and the planted plant type data is pre-determined and/or calibrated in an auxiliary manner, so that the positioning precision is improved. Preferably, the automatic identification of the plant type is carried out on the photo shot by the industrial camera to obtain the field serial number planted by the plant, and the auxiliary ground positioning mark is adopted to automatically calibrate the positioning position, so that the positioning accuracy is improved. More preferably, the sequence of travel trajectories at the time of acquisition of the crop phenotype digital picture data is further determined based on satellite positioning, whereby a priori information is utilized to compare with existing field locations and planted plant types to determine the acquisition operation cell number/name corresponding to the acquired crop phenotype digital picture data. That is, the ground locator and the track of the collection operation are superimposed, and the position of the collection operation is subjected to joint calibration. The collected crop phenotype digital picture data are identified to determine the type of the photographed plant, which can be completed by software APP running on a smart phone, or can be sent to a standardized data storage management system 30 for management through a wireless network, the phenotype data character extraction analysis device 40 extracts data and identifies the data, and the identification result is returned to the positioning module of the phenotype data transmission device 20 for further use.
The cross-platform crop phenotype data acquisition and processing system for biological breeding provided by the invention is shown in figure 1. The operation mode is as follows:
step 110, the data acquisition device 10 is connected to the phenotype data transmission device 20.
The connection between the industrial camera on the data acquisition device 10 and the smart phone software App of the phenotype data transmission device 20 is for example wireless via WIFI.
Step 120, the data transmission device 20 is connected to the standardized data storage management system 30.
The data transmission device 20 is connected to the standardized data storage management system 30 via a mobile communication network, preferably a 4G or 5G, LTE mobile communication network, or a wireless network such as WIFI.
At step 130, the phenotype data transmission device 20 marks the crop phenotype data collected by the data collection device 10 and transmits the crop phenotype data to the standardized data storage management system 30.
Preferably, after the smart phone software App establishes a connection with the standardized data storage management system 30, the software App assembles the crop phenotype data collected by the data collection device 10 into a packet with a customized format, and sends the packet to the standardized data storage management system 30 through an API interface. The custom formatted packet is preferably MIAPPE (Minimum Information About a Plant Phenotyping Experiment) and the API interface is preferably the BrAPI interface. Standardized fields in MIAPPE include surveys, studies, personnel, data files, biological materials, environments, experimental factors, events, observation units, samples, and observation variables, among others. In addition, the information package also standardizes the information such as the number/serial number of the collected operation cell, the name of the operation cell, the coordinate area of the operation cell, the collection time, the model of the collection camera, the position and angle of the collection camera, the type of crops, the name of the crops, the breeding information of the crops, the type of the collection platform, the name of the collection platform, the related information of the collection platform and the like into the fields, and transmits the collected image data. In designing the standardized data storage management system 30, the phenotype data is normalized and standardized storage managed in the standardized field format described above with reference to the mipe and the BrAPI. For crop phenotype data transmitted by different platforms, the standardized data storage management system 30 performs storage management in a unified customized format information packet, so that data transmission is facilitated.
In step 140, the phenotype data extraction analysis device 40 extracts the required data from the standardized data storage management system 30 and processes the marked crop phenotype data.
The analysis module in the phenotype data trait extraction and analysis device 40 extracts the required data from the standardized data storage management system 30 and inputs the data into a deep learning-based crop phenotype analysis model, and the analysis model outputs crop phenotype characteristics and stores the crop phenotype characteristics in the standardized data storage management system 30 as analysis results
Step 150, the phenotype data trait extraction and analysis device 40 outputs the analysis result.
Researchers 50 can query and access the results of crop phenotype analysis through the visual page provided by the cloud server, acquire phenotype data and provide support for subsequent work.
The data acquisition flow of the cross-platform crop phenotype data acquisition processing system for biological breeding provided by the invention is as follows:
step 210, preparation work before data acquisition: including creating batches, selecting a platform for harvesting, setting up relevant information about the harvested crop (such as growth period, variety, name, etc.).
Step 212, configuring the location and range of each operation cell
When the equipment is arranged for the first time, an acquisition personnel divides a field to be detected, namely an area where data are to be acquired, into a plurality of acquisition operation cells, generally, the types of crops planted in one operation cell are the same, or from the breeding perspective, crop seeds cultivated in one operation cell have a certain or a certain common point. The coordinate range of each operation cell is preset in the configuration module of the smart phone software App of the phenotype data transmission device 20, and is stored in the positioning module. The positioning module is provided with an operation cell management function and can store coordinate ranges of a plurality of preset operation cells. Therefore, when the acquisition operation is carried out, the positioning module calculates the real-time accurate coordinates by using the satellite positioning technology, and when each operation cell is entered for the acquisition operation, the positioning module can judge whether the current coordinates are within a certain preset operation cell range or not in real time, so that different operation cells can be automatically distinguished. When the positioning module determines that the coordinates are within a certain preset operation cell range, the positioning module can confirm that the operation cell is entered, so that the operation of manually switching the operation cell is omitted, and meanwhile, the artificial misoperation is avoided.
Step 220, data acquisition is performed for the operation cell
When the ground handheld equipment is used, an acquisition person shoots and acquires crop phenotype data in an operation district of the field to be detected. When the vehicle-mounted equipment is used, an acquisition personnel plans an acquisition route for the vehicle-mounted equipment, adjusts equipment parameters and assists the vehicle-mounted equipment to complete automatic photographing and acquisition of crop phenotype data in an operation district of a field to be detected.
And after the crop phenotype data of one operation cell is collected, the software App of the intelligent mobile phone pops up an input prompt to prompt a user to input the serial number of the current operation cell, and simultaneously, the serial number of the current operation cell which is automatically confirmed by the positioning module is automatically filled into an input frame, so that a collector directly clicks a confirmation button to confirm, and the collected phenotype data in the whole operation cell is confirmed in batches. Meanwhile, the positioning module records the actual coordinate range of the operation cell, so that the mapping relation between the serial number of the operation cell and the actual position can be established. In addition, the actual position can be matched with the coordinate range of the preset operation cell in step 212. In particular, when using the on-board device, the acquisition personnel set the sensor trigger position and exposure period in the configuration module of the smart phone software App of the phenotypic data transmission device 20. When the crop phenotype data is acquired, the sensor automatically acquires the data when the vehicle-mounted equipment reaches the acquisition point. Before the acquisition starts, the shooting angle of the camera is selected and corrected, and no modification is made in the acquisition process. Because the acquisition route of the vehicle-mounted equipment is preset, the acquisition personnel can uniformly confirm the vehicle-mounted equipment after the vehicle-mounted equipment is acquired along the acquisition route.
Through the design, the positions of all the operation cells in the field can be accurately distinguished, and the correspondence of the phenotype data is ensured. The exact correspondence between such working cells and crop varieties is very critical, especially in terms of breeding.
Compared with the operation mode that the acquisition personnel presets the cell number selection menu in the software App, the selection can be directly clicked, the scheme does not need to be manually input every time, the mobile phone does not need to be switched, and only the acquisition personnel directly click the confirmation button to confirm, so that the convenience of operation is greatly improved, and the error easily caused by manual input is avoided.
A typical data acquisition process is as follows:
in step S310, when the data acquisition device 10 is a ground handheld device, the acquirer carries the data acquisition device 10 and the phenotype data transmission device 20 to come to the operation cell 001, and opens the software App of the phenotype data transmission device 20 to start acquisition, and the positioning module of the phenotype data transmission device 20 performs positioning, so that the industrial camera of the acquirer carrying the data acquisition device 10 moves to a suitable position to capture the phenotype data of each crop in the operation cell 001. When the data acquisition device 10 is a vehicle-mounted device, an acquisition personnel plans an acquisition route for the vehicle-mounted device, adjusts device parameters, the vehicle-mounted device carries the phenotype data transmission device 20 to come to the operation cell 001, automatically operates according to the acquisition route and automatically photographs and acquires crop phenotype data of the operation cell 001, and a positioning module of the phenotype data transmission device 20 performs positioning.
Step S320, when the data acquisition device 10 is a ground handheld device, the acquisition personnel leave the operation cell 001 with the data acquisition device 10 and the phenotype data transmission device 20 to arrive at the operation cell 002; when the collection personnel leaves the working cell 001, the software App of the phenotype data transmission device 20 prompts to confirm all collected crop phenotype picture data of the working cell 001 which completes the collection operation; when the collection personnel arrive at the working cell 002, the positioning module of the phenotype data transmission device 20 performs positioning, and the industrial grade camera of the data collection device 10 shoots the phenotype data of each crop in the working cell 002. When the data acquisition device 10 is a vehicle-mounted device, after the vehicle-mounted device completes acquisition according to an acquisition route, the software App of the phenotype data transmission device 20 prompts confirmation of all acquired crop phenotype picture data of the district on the acquisition route, wherein the acquisition operation of the district is completed; when the collector re-plans the collection route for the vehicle-mounted equipment, the vehicle-mounted equipment arrives at the planned collection route, and the positioning module of the phenotype data transmission device 20 performs positioning, and the industrial camera of the data collection device 10 shoots the phenotype data of each crop of the cells in the collection route.
Step S330, repeating step S320, and sequentially carrying out positioning and shooting acquisition operation on each operation cell in the field to be detected.
Step S340, until all the working cells (e.g. 640 working cells) complete the acquisition.
And (3) data transmission:
the software App of the phenotype data transmission device 20 uploads the image data of all 640 operation cells and the corresponding operation cell serial numbers to the standardized data storage management system 30, that is, to the cloud server, under the WIFI environment (or 4G/5G network).
Alternatively, the phenotype data transmission device 20 may upload to the standardized data storage management system 30 every time a picture is taken in step S310; the data of the entire operation cell after the acquisition is completed may be uploaded to the standardized data storage management system 30 together after the acquisition of one operation cell is completed and the confirmation is performed in step S320, or the data of all operation cells may be uploaded to the standardized data storage management system 30 together after the acquisition of all operation cells is completed in step S340.
The typical data processing procedure of the phenotype data extraction analysis device 40 upon receiving crop phenotype picture data from the standardized data storage management system 30 is as follows:
in step S410, the phenotype data property extraction and analysis device 40 automatically distinguishes data of different operation cells according to the operation cell number.
In step S420, the phenotype data trait extraction and analysis device 40 extracts and analyzes the crop phenotype characteristics from the image data to obtain the operation phenotype parameters of each variety.
In step S430, the phenotype data trait extraction analysis apparatus 40 finally forms a crop phenotype evaluation report of 640 crop varieties (for example, wheat).
In step S440, the phenotype data trait extraction analysis apparatus 40 generates a report that can be viewed by the researcher 50, and obtains crop phenotype data results.
Example 1, a wheat test field is taken as an example.
And S510, presetting multi-platform phenotype data acquisition equipment corresponding to different cells of the wheat test field.
Step S520, dividing the whole test field area into a plurality of operation cells, wherein each operation cell is used as a minimum observation unit and corresponds to one of the multi-platform phenotype data acquisition equipment. For ground handheld devices, the collection personnel carry the data collection device 10 and the phenotype data transmission device 20 to move to the corresponding operation cell of the field to be tested for collection. For the vehicle-mounted equipment, an acquisition personnel plans an acquisition route for the vehicle-mounted equipment, adjusts equipment parameters, and the data acquisition device 10 carries the phenotype data transmission device 20 to automatically move to a corresponding operation cell of the field to be detected for shooting and acquisition.
In step S530, when moving to a certain cell, the positioning module of the phenotype data transmission device 20 confirms the current operation cell position, and after matching with the preset position, the industrial camera of the data acquisition device 10 is immediately turned on to automatically shoot the wheat plants in the operation cell in the field at multiple angles, thereby obtaining the crop phenotype image information.
In step S540, after the acquisition of the crop phenotype image information is completed, the acquisition personnel transmits all crop phenotype image data of the operation district to the standardized data storage management system 30, that is, to the back-end server through the confirmation button of the software APP of the phenotype data transmission device 20.
In step S550, after receiving the crop phenotype picture data transmitted from the standardized data storage management system 30, the phenotype data extracting and analyzing device 40 at the rear end extracts and analyzes the phenotype parameters of the crop phenotype picture data, so as to obtain the crop phenotype information of the corresponding plant.
Step S560, after the crop phenotype data collection of all the operation cells is completed, the phenotype differences among different operation cells can be further analyzed, and a basis is provided for subsequent breeding research.
The present invention is not limited to the above-described specific embodiments. It will be understood that various changes and modifications may be made without departing from the spirit and scope of the invention, which is intended to be included within the scope of the invention.

Claims (10)

1. A cross-platform crop phenotype data acquisition and processing system for biological breeding, which is characterized by comprising:
the data acquisition device comprises cross-platform image acquisition equipment, and acquires pictures containing crop phenotype information in a mode of shooting images; the image acquisition equipment comprises ground handheld equipment and vehicle-mounted equipment;
the phenotype data transmission device is in communication connection with the data acquisition device, and performs information labeling on the pictures containing the crop phenotype information acquired by the data acquisition device so as to obtain crop phenotype digital picture data;
the standardized data storage management system performs standardized and standardized data storage management by using OpenSilex, is in communication connection with the phenotype data transmission device, and performs standardized and standardized storage management on the data after obtaining crop phenotype digital picture data transmitted by the phenotype data transmission device;
the phenotype data character extraction and analysis device is a server deployed at the cloud end, is in communication connection with the standardized data storage management system, and performs crop phenotype character analysis after obtaining crop phenotype digital picture data transmitted by the standardized data storage management system;
the phenotype data transmission device further comprises a positioning module which is used for accurately positioning the acquisition operation position of the data acquisition device so as to determine the crop position corresponding to the picture containing the crop phenotype information acquired by the data acquisition device.
2. A cross-platform crop phenotype data acquisition processing system for biological breeding according to claim 1 wherein: each image acquisition device comprises at least two lightweight high precision industrial-grade cameras.
3. A cross-platform crop phenotype data acquisition processing system for biological breeding according to claim 2 wherein: the ground handheld device comprises a bracket, wherein the bracket comprises a transverse rod and a vertical rod which are connected with each other, and industrial-grade cameras are respectively arranged on the transverse rod and the vertical rod, wherein the shooting angle of the industrial-grade camera arranged on the transverse rod is a horizontal angle parallel to the ground, and the industrial-grade camera arranged on the vertical rod is inclined at a certain angle with the ground so as to acquire crop phenotype data from a plurality of angles; the vehicle-mounted equipment comprises a portal frame type movable platform, and the industrial camera is mounted on the portal frame type movable platform and can move in the field according to a specified route to automatically collect crop phenotype data.
4. A cross-platform crop phenotype data acquisition processing system for biological breeding according to claim 3 wherein: the positioning module corresponding to the ground handheld device comprises one or more of Beidou positioning, GPS positioning, wireless base station positioning and Bluetooth beacon positioning; the positioning module corresponding to the vehicle-mounted equipment comprises one or more of Beidou positioning, GNSS positioning and GPS positioning.
5. A cross-platform crop phenotype data acquisition processing system for biological breeding according to claim 4 wherein: the positioning module corresponding to the ground handheld device is used for identifying pictures containing crop phenotype information to determine the type of the shot plants, and further determining the information of the collected operation cell corresponding to the type of the plants, so that the determined coordinate position is pre-judged and/or calibrated in an auxiliary mode; the positioning module corresponding to the vehicle-mounted equipment utilizes the positioning module to position the equipment and identifies plants in the operation cell so as to determine the operation cell where the vehicle-mounted equipment is located, thereby performing pre-judgment and/or auxiliary calibration on the determined coordinate position.
6. A cross-platform crop phenotype data acquisition processing system for biological breeding according to claim 5 wherein: the positioning module further utilizes the sequence of travel trajectories when taking pictures containing crop phenotype information to jointly calibrate the position of the acquisition job.
7. The biological breeding-oriented cross-platform crop phenotype data acquisition and processing system according to claim 6, wherein the system comprises: and marking the information of the pictures containing the crop phenotype information, wherein the marked information comprises the following steps: the collected one or more of the working cell number, the working cell serial number, the working cell name, the working cell coordinate area range, the collection time, the collection times, the type of the collection camera, the position and the angle of the collection camera, the crop type, the crop name, the crop breeding information, the collection platform type, the collection platform name and the collection platform related information.
8. A cross-platform crop phenotype data acquisition processing system for biological breeding according to claim 7 wherein: the phenotype data character extraction and analysis device is used for carrying out high-throughput automatic analysis on crop phenotype digital picture data based on a deep learning model built by an MMCV module of a SegFormer framework and outputting a crop phenotype evaluation report.
9. A cross-platform crop phenotype data acquisition and processing method for biological breeding, characterized in that the cross-platform crop phenotype data acquisition and processing system for biological breeding according to any one of claims 1-8 comprises the following steps:
step S310, when the data acquisition device is a ground handheld device, an acquisition person carries the data acquisition device and the phenotype data transmission device to come to a certain operation district, a software App of the phenotype data transmission device is opened to start acquisition, and when the data acquisition device moves to a proper position, the phenotype data of each crop in the certain operation district is shot; when the data acquisition device is a vehicle-mounted device, an acquisition personnel plans an acquisition route for the vehicle-mounted device, adjusts device parameters, and the vehicle-mounted device carries a phenotype data transmission device to come to a certain operation cell, automatically operates according to the acquisition route and acquires crop phenotype data of the certain operation cell; the positioning module of the phenotype data transmission device is used for positioning the position of the data acquisition device when the crop phenotype data is acquired;
step S320, the collector leaves one operation cell to another operation cell with the data collection device and the phenotype data transmission device; when the data acquisition device is a ground handheld device, when an acquisition person leaves a certain operation cell, the software App of the phenotype data transmission device prompts to confirm all acquired crop phenotype picture data of the certain operation cell which has completed acquisition operation; when a collector arrives at another operation cell, the data acquisition device acquires the phenotype data of each crop in the other operation cell; when the data acquisition device is a vehicle-mounted device, after the vehicle-mounted device completes acquisition according to an acquisition route, the software App of the phenotype data transmission device prompts to confirm all acquired crop phenotype picture data of the district on the acquisition route, wherein the acquisition operation of the district is completed; when an acquisition personnel arrives at another operation cell, the acquisition personnel plan an acquisition route for the vehicle-mounted equipment again, and the data acquisition device acquires phenotype data of each crop in the other cell according to the planned acquisition route again; the positioning module of the phenotype data transmission device is used for positioning the position of the data acquisition device when the crop phenotype data is acquired;
step S330, repeating step S320, and sequentially carrying out positioning and shooting acquisition operation on each operation cell in the field to be detected;
and step S340, after all the operation cells are collected, uploading the data of all the operation cells to a standardized data storage management system by using a phenotype data transmission device for management, and then carrying out relevant analysis in a phenotype data character extraction analysis device.
10. The biological breeding-oriented cross-platform crop phenotype data acquisition and processing method is characterized in that: the phenotype data character extraction and analysis device processes the crop phenotype data transmitted from the standardized data storage management system, and comprises the following steps:
step S410, the phenotype data character extraction analysis device automatically distinguishes the data of different operation cells according to the operation cell serial numbers;
step S420, the phenotype data character extraction and analysis device extracts and analyzes the crop phenotype characteristics of the image data to obtain the operation phenotype parameters of each variety;
step S430, the phenotype data character extraction and analysis device finally forms a crop phenotype evaluation report of each crop variety.
CN202311698416.0A 2023-12-12 2023-12-12 Cross-platform crop phenotype data acquisition and processing system and method for biological breeding Pending CN117853903A (en)

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