Growth management and control method, system and equipment for sugarcane hybrid flower panicles and medium

Abstract

The invention relates to a growth control method, system and device for sugarcane hybrid flower panicles and a medium, and the method comprises the steps: obtaining a plant image of a sugarcane parent in a planting area, and carrying out the image recognition processing of the plant image, and obtaining the parent flowering phase type of the sugarcane parent; determining the current growth condition of the sugarcane parent in the current growth period according to the plant image; obtaining seed characteristics of the sugarcane parents and environmental factors in the planting area, and determining a target induction scheme corresponding to the sugarcane parents according to the flowering phase type, the current growth condition, the environmental factors and the seed characteristics of the parents; and adjusting the environmental factors of the sugarcane parents according to the target induction scheme. By means of the method, intelligent management and control can be conducted on the spikes of the sugarcane parents, the characters of the sugarcane parents can be purposefully improved on the basis of the management and control process, and compared with a manual management and control mode, the method is faster, more effective and more suitable for large-scale sugarcane planting scenes.

Description

Technical Field

[0001] The present invention relates to the field of bioinformatics and image processing technology, and in particular to a growth control method, system, equipment and medium for hybrid sugarcane spikes. Background Art

[0002] In the prior art, the control of the flower spikes of the sugarcane parents to be hybridized is usually carried out manually, that is, the flower spikes of the sugarcane parents are monitored and the growth of the flower spikes is intervened based on the real-time growth of the flower spikes, so that the growth of the flower spikes after the intervention meets the hybridization requirements. However, the manual method is time-consuming, labor-intensive, and inefficient, and is not conducive to the control of the flower spikes in large-scale sugarcane planting. Summary of the invention

[0003] The technical problem to be solved by the present invention is to provide a growth control method, system, equipment and medium for hybrid sugarcane spikes, aiming to solve at least one of the above technical problems.

[0004] In the first aspect, the technical solution of the present invention to solve the above technical problem is as follows: a growth control method for hybrid sugarcane spikes, the method comprising:

[0005] Acquire plant images of sugarcane parents in a planting area, perform image recognition processing on the plant images, and obtain the parent flowering period type of the sugarcane parent, wherein the parent flowering period type is a difficult-to-flower parent or an easy-to-flower parent;

[0006] Determining the current growth condition of the sugarcane parent in the current growth period according to the plant image;

[0007] Obtaining the species characteristics of the sugarcane parent and the environmental factors in the planting area, wherein the environmental factors include at least one of light intensity, temperature, air humidity, wind speed, pH value, electrical conductivity, soil moisture, and carbon dioxide or oxygen concentration;

[0008] Determining a target induction scheme corresponding to the sugarcane parent according to the flowering period type of the parent, the current growth condition, the environmental factors and the species characteristics;

[0009] The environmental factors of the sugarcane parent are adjusted according to the target induction scheme so that the growth of the flower spike of the sugarcane parent meets the preset hybridization requirements.

[0010] The beneficial effects of the present invention are as follows: in the process of sugarcane hybrid breeding, the flowering type and current growth condition of the sugarcane parents are identified through the plant images of the sugarcane parents, and the target induction scheme corresponding to the sugarcane parents is determined based on the flowering type, current growth condition, environmental factors and species characteristics of the parents, and the environmental factors of the sugarcane parents are adjusted according to the target induction scheme to make the growth of the flower spike of the sugarcane parent meet the preset hybridization requirements. Not only can the flower spike of the sugarcane parent be intelligently controlled, but also the traits of the sugarcane parent can be purposefully improved based on the control process. Compared with manual control methods, this method is faster and more effective, and more suitable for large-scale sugarcane planting scenarios.

[0011] Based on the above technical solution, the present invention can also be improved as follows.

[0012] Further, obtaining plant images of sugarcane parents in the planting area, performing image recognition processing on the plant images, and obtaining the parent flowering period type of the sugarcane parents, including:

[0013] When the image collector is located in the planting area and at a first height, a first image of the sugarcane parent is acquired, and the sugarcane part in the first image is identified according to the morphological characteristics of each organ of the plant, wherein the image collector is provided with an image sensor and a full-spectrum camera;

[0014] Acquire a first spectral image of a target area captured by the full-spectrum camera, wherein the target area is an area corresponding to a plant part in the first image, and determine the plant species in the target area through spectral characteristics of each organ of the plant in the first spectral image;

[0015] Acquire the environmental information of the target area through an environmental information acquisition sensor, and acquire the first plant growth status of the sugarcane parent according to the plant species and the environmental information;

[0016] When the image collector is located in the planting area and at a second height, a second spectral image in the target area captured by the full-spectrum camera is acquired, and a second plant growth condition of the sugarcane parent is acquired through spectral characteristics of each organ of the plant in the second spectral image;

[0017] Acquire a second image in the target area captured by the image sensor, and acquire a third plant growth condition of the sugarcane parent through morphological characteristics of each organ of the plant in the second image;

[0018] According to the first plant growth condition, the second plant growth condition and the third plant growth condition, the parent flowering period type of the sugarcane parent is obtained.

[0019] Furthermore, the method further comprises:

[0020] Recognize the plant image to identify the flower spike of the sugarcane parent and the growth information of the flower spike, wherein the growth information includes the number of flowers bloomed and the number of flower buds;

[0021] The step of obtaining the parent flowering period type of the sugarcane parent according to the first plant growth condition, the second plant growth condition and the third plant growth condition comprises:

[0022] determining the actual growth condition of the sugarcane parent according to the first plant growth condition, the second plant growth condition and the third plant growth condition;

[0023] The parent flowering period type of the sugarcane parent is determined according to the actual growth condition and the growth condition information of the flower spike.

[0024] Furthermore, the morphological characteristics of the various organs of the plant include: morphological characteristics of the plant's stems, leaves, flowers, fruits and modified organs;

[0025] Any one of the first plant growth condition, the second plant growth condition and the third plant growth condition comprises: growth and development condition, nutrition condition, stress physiological condition and / or pest and disease condition.

[0026] Further, determining the current growth condition of the sugarcane parent in the current growth period according to the plant image includes:

[0027] Performing image recognition processing on the plant image to determine growth parameters of the sugarcane parent, the growth parameters including at least one of leaf size, leaf density, leaf color or plant height;

[0028] According to the growth parameters, the current growth condition of the sugarcane parent in the current growth period is determined.

[0029] Furthermore, the method further comprises:

[0030] Obtaining the growth deviation in the current growth period;

[0031] The step of determining the target induction scheme corresponding to the sugarcane parent according to the parent flowering period type, the current growth condition, the environmental factors and the species characteristics comprises:

[0032] The target induction scheme corresponding to the sugarcane parent is determined according to the growth deviation, the parent flowering period type, the current growth condition, the environmental factors and the species characteristics.

[0033] Further, the sugarcane parent is a candidate parent for hybridization, and the method further comprises:

[0034] According to the current growth conditions, the environmental factors, the species characteristics and the hybridization requirements, the breeding strategy of the sugarcane parent is adjusted so that the sugarcane parent meets the hybridization requirements.

[0035] In a second aspect, in order to solve the above technical problems, the present invention also provides a growth control system for hybrid sugarcane spikes, the system comprising:

[0036] An image acquisition module is used to acquire plant images of sugarcane parents in a planting area, perform image recognition processing on the plant images, and obtain the parent flowering period type of the sugarcane parent, wherein the parent flowering period type is a difficult-to-flower parent or an easy-to-flower parent;

[0037] A growth condition determination module, used to determine the current growth condition of the sugarcane parent in the current growth period according to the plant image;

[0038] An environmental factor acquisition module, used to acquire the species characteristics of the sugarcane parent and the environmental factors in the planting area, wherein the environmental factors include at least one of light intensity, temperature, air humidity, wind speed, pH value, electrical conductivity, soil moisture, carbon dioxide or oxygen concentration;

[0039] An induction scheme determination module, used to determine the target induction scheme corresponding to the sugarcane parent according to the parent flowering type, the current growth condition, the environmental factors and the species characteristics;

[0040] The adjustment module is used to adjust the environmental factors of the sugarcane parent according to the target induction scheme so that the growth of the flower spike of the sugarcane parent meets the preset hybridization requirements.

[0041] In a third aspect, in order to solve the above-mentioned technical problems, the present invention also provides an electronic device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and when the processor executes the computer program, the growth control method of the sugarcane hybrid spike of the present application is implemented.

[0042] In a fourth aspect, in order to solve the above-mentioned technical problem, the present invention further provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the growth control method of the sugarcane hybrid spike of the present application is implemented.

[0043] Additional aspects and advantages of the present application will be partially given in the following description, which will become apparent from the following description, or will be understood through the practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for describing the embodiments of the present invention are briefly introduced below.

[0045] Figure 1 A schematic diagram of a process for controlling the growth of a sugarcane hybrid spike provided by one embodiment of the present invention;

[0046] Figure 2 A schematic diagram of the structure of a sugarcane hybrid spike growth control system provided by one embodiment of the present invention;

[0047] Figure 3 A schematic diagram of the structure of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0048] The principles and features of the present invention are described below. The examples given are only used to explain the present invention and are not used to limit the scope of the present invention.

[0049] The technical solution of the present invention and how the technical solution of the present invention solves the above-mentioned technical problems are described in detail below with specific embodiments. The following specific embodiments can be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments. The embodiments of the present invention will be described below in conjunction with the accompanying drawings.

[0050] The solution provided by the embodiment of the present invention can be applied to any application scenario where the growth of the spike of the sugarcane parent needs to be controlled. The solution provided by the embodiment of the present invention can be executed by any electronic device, for example, it can be a user's terminal device, including at least one of the following: a smart phone, a tablet computer, a laptop computer, a desktop computer, a smart speaker, a smart watch, a smart TV, and a smart car device.

[0051] The embodiment of the present invention provides a possible implementation method, such as Figure 1 As shown, a flow chart of a method for controlling the growth of hybrid sugarcane spikes is provided. The scheme can be executed by any electronic device, for example, a terminal device, or a terminal device and a server. For the convenience of description, the method provided by the embodiment of the present invention will be described below using a terminal device as an example of an execution subject. Figure 1 The method may include the following steps:

[0052] Step S10, obtaining a plant image of a sugarcane parent in a planting area, performing image recognition processing on the plant image, and obtaining a parent flowering period type of the sugarcane parent, wherein the parent flowering period type is a difficult-to-flower parent or an easy-to-flower parent;

[0053] Step S20, determining the current growth condition of the sugarcane parent in the current growth period according to the plant image;

[0054] Step S30, obtaining the species characteristics of the sugarcane parent and the environmental factors in the planting area, wherein the environmental factors include at least one of light intensity, temperature, air humidity, wind speed, pH value, electrical conductivity, soil moisture, and carbon dioxide or oxygen concentration;

[0055] Step S40, determining a target induction scheme corresponding to the sugarcane parent according to the parent flowering type, the current growth condition, the environmental factors and the species characteristics;

[0056] Step S50, adjusting the environmental factors of the sugarcane parent according to the target induction scheme so that the growth of the flower spike of the sugarcane parent meets the preset hybridization requirements.

[0057] By the method of the present invention, during the sugarcane hybrid breeding process, the flowering type and current growth condition of the sugarcane parent are identified through the plant image of the sugarcane parent, and the target induction scheme corresponding to the sugarcane parent is determined based on the flowering type, current growth condition, environmental factors and species characteristics of the parents, and the environmental factors of the sugarcane parent are adjusted according to the target induction scheme so that the growth condition of the flower spike of the sugarcane parent meets the preset hybridization requirements. Not only can the flower spike of the sugarcane parent be intelligently controlled, but the traits of the sugarcane parent can also be purposefully improved based on the control process. Compared with the manual control method, the method is faster and more effective, and more suitable for large-scale sugarcane planting scenarios.

[0058] The scheme of the present invention is further described below in conjunction with the following specific embodiments. In this embodiment, a growth control method for hybrid sugarcane spikes provided may include the following steps:

[0059] Step S10, obtaining a plant image of a sugarcane parent in a planting area, performing image recognition processing on the plant image, and obtaining a parent flowering period type of the sugarcane parent, wherein the parent flowering period type is a difficult-to-flower parent or an easy-to-flower parent;

[0060] The planting area refers to an area where sugarcane is planted. The plants in the area are mainly sugarcane, but there may also be some other plants, such as weeds. Therefore, there may also be weeds in the plant image taken for the plant area.

[0061] In the present application, the image recognition technology is used to perform image recognition processing on the plant image to obtain the parent flowering period type of the sugarcane parent. The specific implementation method can be:

[0062] The plant image is recognized, the image area corresponding to the sugarcane parent in the plant image is identified, and then the image area where the flower spike is located is identified in the image area. Finally, based on the image area where the flower spike is located, the parent flowering period type of the sugarcane parent is identified.

[0063] Optionally, the above-mentioned identification of the parental flowering type of the sugarcane parent based on the image area where the flower spike is located can be determined based on a pre-trained neural network model, and the neural network model can be trained based on flower spike images of different parental flowering types.

[0064] Optionally, in the above S10, another possible implementation method of acquiring plant images of sugarcane parents in the planting area, performing image recognition processing on the plant images, and obtaining the parent flowering period type of the sugarcane parents is:

[0065] S101, when the image collector is located in the planting area and at a first height, a first image of the sugarcane parent is acquired, and a sugarcane part in the first image is identified according to morphological characteristics of various organs of the plant, wherein the image collector is provided with an image sensor and a full-spectrum camera;

[0066] The image collector may be a cruise robot, which may be equipped with an image sensor and a full-spectrum camera, wherein the image sensor is used to obtain visible light images, and the full-spectrum camera is used to obtain spectral images. The image collector may fly above the planting area.

[0067] Optionally, in the process of collecting images based on the image collector, the coordinates can be located according to the satellite positioning system data, and the electronic area or boundary that needs to be operated can be automatically delineated, and the image corresponding to the planting area can be collected at the same time.

[0068] The first height refers to the height of the image collector from the ground, and the first image may be a visible light image acquired based on the image sensor.

[0069] Optionally, the morphological characteristics of the organs of the plant include: morphological characteristics of the stems, leaves, flowers, fruits and abnormal organs of the plant. The morphological characteristics of the organs of different plants are different. Therefore, in the present application scheme, based on the morphological characteristics of the organs of the plant, the sugarcane part in the first image can be accurately identified. The organs of the plant refer to various parts of the plant, including but not limited to stems, leaves, flowers, fruits and abnormal organs.

[0070] S102, acquiring a first spectral image of a target area captured by the full-spectrum camera, wherein the target area is an area corresponding to a plant part in the first image, and determining a plant species in the target area through spectral characteristics of each organ of the plant in the first spectral image;

[0071] Among them, the spectral characteristics of each organ of different plants are different. Taking the plant spectral characteristics of plant leaves as an example, the thickness of weed leaves and sugarcane leaves are different, so their spectral characteristics are different, which can be used to distinguish sugarcane from weeds. Therefore, in the present application scheme, based on the spectral characteristics of each organ of the plant, the plant species in the target area in the first spectral image can be accurately identified, that is, whether the plant in the target area is sugarcane or other types of plants.

[0072] The wavelength range of the spectrum of the full-spectrum camera may be 380-2500nm so as to cover all plant spectrum images.

[0073] S103, acquiring environmental information of the target area through an environmental information collection sensor, and acquiring a first plant growth status of the sugarcane parent according to the plant species and the environmental information;

[0074] Among them, if the plant species is sugarcane, the first plant growth condition of the sugarcane parent can be determined based on the plant species and environmental information. The first plant growth condition is information that describes the growth condition of the sugarcane parent based on the environmental information, wherein the first plant growth condition includes: growth and development status, nutritional status, stress physiological status and / or disease and pest status.

[0075] S104, when the image collector is located in the planting area and at a second height, obtaining a second spectral image in the target area photographed by the full-spectrum camera, and obtaining a second plant growth condition of the sugarcane parent through spectral characteristics of each organ of the plant in the second spectral image;

[0076] The second height refers to a height different from the first height, and may be lower than the first height or higher than the first height.

[0077] In the present application, the spectral images acquired at different heights can identify the corresponding growth conditions of the sugarcane parent at different heights.

[0078] S105, acquiring a second image in the target area photographed by the image sensor, and acquiring a third plant growth condition of the sugarcane parent through morphological characteristics of each organ of the plant in the second image;

[0079] Among them, the third plant growth condition, compared with the second plant growth condition and the first plant growth condition, is a plant growth condition corresponding to the second height, which is different from the second plant growth condition and the first plant growth condition.

[0080] S106, obtaining the parent flowering period type of the sugarcane parent according to the first plant growth condition, the second plant growth condition and the third plant growth condition.

[0081] In the present application scheme, based on the first plant growth condition, the second plant growth condition and the third plant growth condition determined under different circumstances, the growth condition of the sugarcane parent can be truly reflected from different angles. Therefore, based on the first plant growth condition, the second plant growth condition and the third plant growth condition, the parent flowering type of the sugarcane parent can be accurately identified.

[0082] Optionally, in the present application scheme, the cruise robot can cruise and monitor the planting area according to the planned path to complete the filming and monitoring of the plants planted in the planting area. During the cruising process, the cruise robot films (including video and photo) the plants for monitoring, and performs image recognition processing based on the captured plant images (including pictures and / or videos) to identify the current growth status of the sugarcane parent. The cruise robot will plan the path for the planting area and establish a global and local planning path. The global path planning refers to the cruising path of the entire planting area. The cruise robot will cruise according to the planned global path to complete the monitoring of all plants in the planting area. Local path planning refers to cruising an area within a small range, so that the angle of the cruise robot's monitoring of the plants can be controlled, so that plant images can be taken from different angles to better monitor the plants. The cruise robot will cruise according to the established planned path to monitor all plants in the planting area. The cruise robot uses the DWA (Dynamic Window Approach) dynamic window algorithm to establish a planned path. It coordinates the current azimuth angle of the robot, the minimum distance and speed between the current trajectory and the nearest obstacle (usually plants), and continuously optimizes and calculates the optimal path trajectory. The cruise robot establishes a planned path according to this path trajectory and can perform cruise monitoring based on it.

[0083] In this application plan, the plan also includes:

[0084] Recognize the plant image to identify the flower spike of the sugarcane parent and the growth information of the flower spike, wherein the growth information includes the number of flowers bloomed and the number of flower buds;

[0085] In the above S106, obtaining the parent flowering period type of the sugarcane parent according to the first plant growth condition, the second plant growth condition and the third plant growth condition includes:

[0086] S1061, determining the actual growth condition of the sugarcane parent according to the first plant growth condition, the second plant growth condition and the third plant growth condition;

[0087] S1062: Determine the parent flowering period type of the sugarcane parent according to the actual growth condition and the growth condition information of the flower spike.

[0088] By combining the growth information of the flower spike and the actual growth conditions of the sugarcane parent, the parental flowering type of the sugarcane parent can be determined more accurately.

[0089] Among them, in the scheme of the present application, the flower spikes in the plant image and the growth information of the flower spikes can be identified based on the image recognition technology.

[0090] After the parent flowering period type of the sugarcane parent is identified, the following step S20 is performed.

[0091] Step S20, determining the current growth condition of the sugarcane parent in the current growth period according to the plant image;

[0092] The current growth period refers to a period of time corresponding to the current time. For example, one week. The current growth condition reflects the growth condition of the sugarcane parent in the current growth period. The current growth condition can be determined based on any one of the first plant growth condition, the second plant growth condition, the third plant growth condition, or the real plant growth condition described above, and can also be determined based on the following methods:

[0093] S201, performing image recognition processing on the plant image to determine growth parameters of the sugarcane parent, the growth parameters including at least one of leaf size, leaf density, leaf color or plant height;

[0094] S202: Determine the current growth condition of the sugarcane parent in the current growth period according to the growth parameters.

[0095] In the present application, the current growth status of the sugarcane parent can be more accurately identified based on the growth parameters of the sugarcane parent.

[0096] Among them, growth parameters include climate growth parameters and soil growth parameters. Climate growth parameters include light, temperature, water volume, etc., and soil growth parameters include elements such as nitrogen, phosphorus, and potassium.

[0097] Optionally, in the above S20, another implementation scheme for determining the current growth condition of the sugarcane parent in the current growth period according to the plant image is:

[0098] Image recognition is performed on the plant image to extract plant features, and the current plant category is identified based on the plant features. Plant category identification can use a plant recognition model obtained based on a deep convolutional neural network learning model. After the plant category is identified, the plant image is segmented, and then semantic segmentation is performed on the individual plant to extract the overall plant features and plant part features, and the current growth condition of the sugarcane parent is judged based on the plant part features and the overall plant features.

[0099] Among them, plant characteristics include the components of the plant's flowers, fruits, stems, and leaves, and based on this, the overall plant characteristics that reflect the growth conditions and characteristics of the crop and the subtle plant part characteristics of each part of the plant are extracted. Plant part characteristics include the characteristics of individual flowers, fruits, stems, and leaves.

[0100] Among them, the characteristics of flowers include flower size, color, degree of spread, and number of petals; the characteristics of fruits include fruit size, color, color ratio, and shape; the characteristics of stems include thickness, direction of surface stripes, and surface texture roughness; the characteristics of leaves include size, integrity, direction of veins, and richness; the overall characteristics of plants include plant color characteristics, shape characteristics, and texture characteristics; shape characteristics include plant circumference, area, shape index, circumscribed circle radius, and void ratio.

[0101] The image segmentation uses a Gaussian background filtering method to filter out noise, and the Codebook model is used to update the background of the image after noise filtering to filter out the background, thereby separating the plant as the foreground from the background. The semantic segmentation of a single plant is processed using a fully convolutional neural network (FCN) method.

[0102] After the current growth condition of the sugarcane parent is determined, S30 is executed.

[0103] Step S30, obtaining the species characteristics of the sugarcane parent and the environmental factors in the planting area, wherein the environmental factors include at least one of light intensity, temperature, air humidity, wind speed, pH value, electrical conductivity, soil moisture, and carbon dioxide or oxygen concentration;

[0104] Among them, the environmental factors can be obtained based on different sensors set in the planting area. The species characteristics of sugarcane parents are characteristics that reflect the traits of sugarcane parents.

[0105] Step S40, determining a target induction scheme corresponding to the sugarcane parent according to the parent flowering type, the current growth condition, the environmental factors and the species characteristics;

[0106] Among them, the above-mentioned target induction scheme refers to a scheme for intervening in the growth of flower spikes of sugarcane parents. In the present application scheme, different parent flowering types correspond to different induction schemes. In the process of determining the target induction scheme, the target induction scheme can be determined more accurately by combining the current growth conditions of the sugarcane parents, the environmental factors and the species characteristics.

[0107] Optionally, the above-mentioned different induction schemes can be pre-stored in a database in the cloud, and the induction schemes in the database can be continuously updated based on actual needs. The cloud in this application refers to a big data platform connected to the background through wireless technologies such as 4G and 5G. The big data covers geographic information systems, environmental meteorological information systems, satellite positioning systems, and plant information systems; the plant information system contains plant classification, morphological characteristics of each classification, spectral characteristics, light, temperature, water, fertilizer and gas requirements of each plant, the environment for the occurrence of pests and diseases, disease characteristics, and spectral characteristics of diseases, and continuously adds and updates plant-related information based on the database.

[0108] An achievable solution for the above S40 is: based on a preset first corresponding relationship, determine the target induction scheme corresponding to the sugarcane parent, wherein the first corresponding relationship is the correspondence between the corresponding induction schemes for different growth conditions, different environmental factors and different species characteristics under different parent flowering period types.

[0109] In the solution of the present application, the method further comprises:

[0110] Obtaining the growth deviation in the current growth period;

[0111] Among them, the growth deviation refers to the tolerance range of the growth conditions of the sugarcane parent in the current growth period. If the current growth condition is within the tolerance range of the growth deviation, it means that the current growth condition of the sugarcane parent is relatively good and meets the hybridization requirements. Conversely, if the current growth condition is not within the tolerance range of the growth deviation, it means that the current growth condition of the sugarcane parent is not ideal and does not meet the hybridization requirements.

[0112] Among them, hybridization requirements refer to the trait requirements that the offspring obtained by hybridizing sugarcane parents must meet according to the breeding requirements of sugarcane, which can be configured based on actual needs.

[0113] After determining the growth deviation, the target induction scheme corresponding to the sugarcane parent is determined according to the parent flowering type, the current growth situation, the environmental factors and the species characteristics, including:

[0114] The target induction scheme corresponding to the sugarcane parent is determined according to the growth deviation, the parent flowering period type, the current growth condition, the environmental factors and the species characteristics.

[0115] That is, in the process of determining the target induction scheme, in addition to the parent flowering type, the current growth condition, the environmental factors and the species characteristics, the growth deviation is also taken into consideration, so that the target induction scheme can be determined more accurately.

[0116] Optionally, the growth deviation in the current growth period is determined based on the following method:

[0117] Select each feature region in the plant image at the current growth period, and compare it with the feature regions corresponding to each level of the feature region at the current growth period in the stored sugarcane growth model;

[0118] The level corresponding to the characteristic region that best matches the characteristic region in the plant image is selected from the sugarcane growth model to determine the growth characteristic parameter value corresponding to each characteristic region of the plant image in the current growth period after quantization;

[0119] The growth characteristic parameter values ​​corresponding to each characteristic area after quantification are processed with the standard growth characteristic parameter values ​​corresponding to each characteristic area in the growth period to analyze the growth deviation of the sugarcane parent in the current growth period.

[0120] The growth deviation of sugarcane parents at different growth stages can be expressed as:

[0121]

[0122] Among them, ΔWbk represents the relative offset corresponding to the kth feature area in the bth growth period, and ΔWbk=Wbk0-Wbk, Wbk0 represents the standard growth characteristic parameter value corresponding to the kth feature area in the plant image in the bth growth period, Wbk represents the growth characteristic parameter value corresponding to the kth feature area in the plant image in the current bth growth period after quantization, and φb represents the growth deviation of the sugarcane parent corresponding to the plant image in the current bth growth period.

[0123] Step S50, adjusting the environmental factors of the sugarcane parent according to the target induction scheme so that the growth of the flower spike of the sugarcane parent meets the preset hybridization requirements.

[0124] Among them, different parent flowering types correspond to different induction schemes. In the present application, if the parent flowering type is a difficult-to-flower type, the initial induction scheme is to adjust the light source of the sugarcane parent. If the parent flowering type is an easy-to-flower type, the initial induction scheme is to cut off the liquid treatment of the sugarcane parent. Combined with the growth deviation, the current growth situation, the environmental factors and the species characteristics, the target induction scheme can be determined on the basis of the initial induction scheme to adjust the light intensity, temperature, air humidity, wind speed, pH value, conductivity, soil moisture, carbon dioxide or oxygen concentration corresponding to the sugarcane parent according to the target induction scheme.

[0125] Optionally, the sugarcane parent may be a candidate parent for hybridization, and the method further comprises:

[0126] According to the current growth conditions, the environmental factors, the species characteristics and the hybridization requirements, the breeding strategy of the sugarcane parent is adjusted so that the sugarcane parent meets the hybridization requirements.

[0127] In the present application, in addition to adjusting the environmental factors of the sugarcane parents according to the current growth conditions, the environmental factors, the species characteristics and the hybridization requirements, a cultivation strategy can also be used. The cultivation strategy specifically refers to other cultivation methods other than environmental factors, such as soil cultivation, soilless cultivation, artificial pollination, natural pollination, etc. By adjusting the cultivation strategy, scientific management and directional hybridization of sugarcane parents can be achieved.

[0128] Based on the above scheme, in the process of adjusting the environmental factors or breeding strategies of sugarcane parents in the present application scheme, an Internet of Things platform can be built in combination with various hardware devices to achieve the management purpose of cross-platform, remote interactive control.

[0129] Based on Figure 1 Based on the same principle as the method shown in , the embodiment of the present invention also provides a growth control system 20 for hybrid sugarcane spikes, such as Figure 2 As shown in , the sugarcane hybrid spike growth control system 20 may include an image acquisition module 210, a growth condition determination module 220, an environmental factor acquisition module 230, an induction scheme determination module 240 and an adjustment module 250, wherein:

[0130] The image acquisition module 210 is used to acquire plant images of sugarcane parents in the planting area, perform image recognition processing on the plant images, and obtain the parent flowering type of the sugarcane parent, where the parent flowering type is a difficult-to-flower parent or an easy-to-flower parent;

[0131] A growth condition determination module 220, configured to determine the current growth condition of the sugarcane parent in the current growth period according to the plant image;

[0132] The environmental factor acquisition module 230 is used to obtain the species characteristics of the sugarcane parent and the environmental factors in the planting area, wherein the environmental factors include at least one of light intensity, temperature, air humidity, wind speed, pH value, electrical conductivity, soil moisture, carbon dioxide or oxygen concentration;

[0133] An induction scheme determination module 240 is used to determine a target induction scheme corresponding to the sugarcane parent according to the parent flowering period type, the current growth condition, the environmental factors and the species characteristics;

[0134] The adjustment module 250 is used to adjust the environmental factors of the sugarcane parent according to the target induction scheme so that the growth of the flower spike of the sugarcane parent meets the preset hybridization requirements.

[0135] Optionally, when the image acquisition module 210 acquires the plant image of the sugarcane parent in the planting area and performs image recognition processing on the plant image to obtain the parent flowering period type of the sugarcane parent, it is specifically used to:

[0136] When the image collector is located in the planting area and at a first height, a first image of the sugarcane parent is acquired, and the sugarcane part in the first image is identified according to the morphological characteristics of each organ of the plant, wherein the image collector is provided with an image sensor and a full-spectrum camera;

[0137] Acquire a first spectral image of a target area captured by the full-spectrum camera, wherein the target area is an area corresponding to a plant part in the first image, and determine the plant species in the target area through spectral characteristics of each organ of the plant in the first spectral image;

[0138] Acquire the environmental information of the target area through an environmental information acquisition sensor, and acquire the first plant growth status of the sugarcane parent according to the plant species and the environmental information;

[0139] When the image collector is located in the planting area and at a second height, a second spectral image in the target area captured by the full-spectrum camera is acquired, and a second plant growth condition of the sugarcane parent is acquired through spectral characteristics of each organ of the plant in the second spectral image;

[0140] Acquire a second image in the target area captured by the image sensor, and acquire a third plant growth condition of the sugarcane parent through morphological characteristics of each organ of the plant in the second image;

[0141] According to the first plant growth condition, the second plant growth condition and the third plant growth condition, the parent flowering period type of the sugarcane parent is obtained.

[0142] Optionally, the system further includes:

[0143] A flower spike recognition module, used to recognize the plant image, identify the flower spike of the sugarcane parent and the growth information of the flower spike, wherein the growth information includes the number of flowers and the number of buds;

[0144] When the image acquisition module 210 obtains the parent flowering period type of the sugarcane parent according to the first plant growth condition, the second plant growth condition and the third plant growth condition, it is specifically used to:

[0145] determining the actual growth condition of the sugarcane parent according to the first plant growth condition, the second plant growth condition and the third plant growth condition;

[0146] The parent flowering period type of the sugarcane parent is determined according to the actual growth condition and the growth condition information of the flower spike.

[0147] Optionally, the morphological characteristics of various organs of the plant include: morphological characteristics of stems, leaves, flowers, fruits and abnormal organs of the plant;

[0148] Any one of the first plant growth condition, the second plant growth condition and the third plant growth condition comprises: growth and development condition, nutrition condition, stress physiological condition and / or pest and disease condition.

[0149] Optionally, when determining the current growth condition of the sugarcane parent in the current growth period according to the plant image, the growth condition determination module 220 is specifically used to:

[0150] Performing image recognition processing on the plant image to determine growth parameters of the sugarcane parent, the growth parameters including at least one of leaf size, leaf density, leaf color or plant height;

[0151] According to the growth parameters, the current growth condition of the sugarcane parent in the current growth period is determined.

[0152] Optionally, the system further includes:

[0153] A growth deviation acquisition module, used to obtain the growth deviation in the current growth period;

[0154] The induction scheme determination module 240 is specifically used to determine the target induction scheme corresponding to the sugarcane parent according to the parent flowering period type, the current growth situation, the environmental factors and the species characteristics:

[0155] The target induction scheme corresponding to the sugarcane parent is determined according to the growth deviation, the parent flowering period type, the current growth condition, the environmental factors and the species characteristics.

[0156] Optionally, the sugarcane parent is a candidate parent for hybridization, and the system further comprises:

[0157] The cultivation strategy adjustment module is used to adjust the cultivation strategy of the sugarcane parent according to the current growth situation, the environmental factors, the species characteristics and the hybridization requirements, so that the sugarcane parent meets the hybridization requirements.

[0158] The growth control system of the sugarcane hybrid flower spike of the embodiment of the present invention can execute the growth control method of the sugarcane hybrid flower spike provided by the embodiment of the present invention, and the implementation principle is similar. The actions performed by each module and unit in the growth control system of the sugarcane hybrid flower spike in each embodiment of the present invention correspond to the steps in the growth control method of the sugarcane hybrid flower spike in each embodiment of the present invention. For the detailed functional description of each module of the growth control system of the sugarcane hybrid flower spike, please refer to the description of the corresponding growth control method of the sugarcane hybrid flower spike shown in the previous text, which will not be repeated here.

[0159] Among them, the above-mentioned sugarcane hybrid flower spike growth control system can be a computer program (including program code) running in a computer device, for example, the sugarcane hybrid flower spike growth control system is an application software; the device can be used to execute the corresponding steps in the method provided in the embodiment of the present invention.

[0160] In some embodiments, the growth control system of the sugarcane hybrid flower spike provided by the embodiments of the present invention can be implemented by a combination of software and hardware. As an example, the growth control system of the sugarcane hybrid flower spike provided by the embodiments of the present invention can be a processor in the form of a hardware decoding processor, which is programmed to execute the growth control method of the sugarcane hybrid flower spike provided by the embodiments of the present invention. For example, the processor in the form of a hardware decoding processor can adopt one or more application specific integrated circuits (ASICs), DSPs, programmable logic devices (PLDs), complex programmable logic devices (CPLDs), field programmable gate arrays (FPGAs) or other electronic components.

[0161] In other embodiments, the sugarcane hybrid spike growth control system provided by the embodiments of the present invention can be implemented in software. Figure 2 A growth control system for hybrid sugarcane spikes stored in a memory is shown, which may be software in the form of programs and plug-ins, and includes a series of modules, including an image acquisition module 210, a growth condition determination module 220, an environmental factor acquisition module 230, an induction scheme determination module 240, and an adjustment module 250, for implementing the growth control method for hybrid sugarcane spikes provided in an embodiment of the present invention.

[0162] The modules involved in the embodiments of the present invention may be implemented by software or hardware, wherein the name of a module does not limit the module itself in some cases.

[0163] Based on the same principle as the method shown in the embodiments of the present invention, an electronic device is also provided in the embodiments of the present invention, which may include but is not limited to: a processor and a memory; the memory is used to store a computer program; the processor is used to execute the method shown in any embodiment of the present invention by calling the computer program.

[0164] In an alternative embodiment, an electronic device is provided, such as Figure 3 As shown, Figure 3 The electronic device 4000 shown includes: a processor 4001 and a memory 4003. The processor 4001 and the memory 4003 are connected, such as through a bus 4002. Optionally, the electronic device 4000 may also include a transceiver 4004, which may be used for data interaction between the electronic device and other electronic devices, such as data transmission and / or data reception. It should be noted that in actual applications, the transceiver 4004 is not limited to one, and the structure of the electronic device 4000 does not constitute a limitation on the embodiments of the present invention.

[0165] Processor 4001 may be a CPU (Central Processing Unit), a general-purpose processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array) or other programmable logic devices, transistor logic devices, hardware components or any combination thereof. It may implement or execute various exemplary logic blocks, modules and circuits described in conjunction with the disclosure of the present invention. Processor 4001 may also be a combination that implements computing functions, such as a combination of one or more microprocessors, a combination of a DSP and a microprocessor, etc.

[0166] The bus 4002 may include a path to transmit information between the above components. The bus 4002 may be a PCI (PeripHeral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus. The bus 4002 may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 3 Only one thick line is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0167] The memory 4003 can be a ROM (Read Only Memory) or other types of static storage devices that can store static information and instructions, a RAM (Random Access Memory) or other types of dynamic storage devices that can store information and instructions, or an EEPROM (Electrically Erasable Programmable Read Only Memory), a CD-ROM (Compact Disc Read Only Memory) or other optical disk storage, optical disk storage (including compressed optical disk, laser disk, optical disk, digital versatile disk, Blu-ray disk, etc.), a magnetic disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited to this.

[0168] The memory 4003 is used to store the application code (computer program) for executing the solution of the present invention, and the execution is controlled by the processor 4001. The processor 4001 is used to execute the application code stored in the memory 4003 to implement the content shown in the above method embodiment.

[0169] The electronic device may also be a terminal device. Figure 3 The electronic device shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present invention.

[0170] An embodiment of the present invention provides a computer-readable storage medium, on which a computer program is stored. When the computer-readable storage medium is run on a computer, the computer can execute the corresponding contents of the aforementioned method embodiment.

[0171] According to another aspect of the present invention, a computer program product or a computer program is also provided, the computer program product or the computer program comprising computer instructions, the computer instructions being stored in a computer-readable storage medium. A processor of a computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device executes the methods provided in the implementation modes of the above-mentioned various embodiments.

[0172] Computer program code for performing the operations of the present invention may be written in one or more programming languages, or a combination thereof, including object-oriented programming languages, such as Java, Smalltalk, C++, and conventional procedural programming languages, such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., through the Internet using an Internet service provider).

[0173] It should be understood that the flow charts and block diagrams in the accompanying drawings illustrate the possible implementation architecture, functions and operations of the method and computer program product according to various embodiments of the present invention. In this regard, each box in the flow chart or block diagram can represent a module, a program segment, or a part of a code, and the module, the program segment, or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a sequence different from that marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flow chart, and the combination of the boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0174] The computer-readable storage medium provided by the embodiment of the present invention may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination thereof. More specific examples of computer-readable storage media may include, but are not limited to, an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In the present invention, a computer-readable storage medium may be any tangible medium containing or storing a program that may be used by or in conjunction with an instruction execution system, device, or device.

[0175] The computer-readable storage medium carries one or more programs. When the one or more programs are executed by the electronic device, the electronic device executes the method shown in the above embodiment.

[0176] The above description is only a preferred embodiment of the present invention and an explanation of the technical principles used. Those skilled in the art should understand that the disclosure scope involved in the present invention is not limited to the technical solution formed by a specific combination of the above technical features, but should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the above disclosed concept. For example, the above features are replaced with the technical features with similar functions disclosed in the present invention (but not limited to) by each other.

Claims

1. A method for controlling the growth of hybrid sugarcane spikes, characterized in that: include: Acquire plant images of sugarcane parents in a planting area, perform image recognition processing on the plant images, and obtain the parent flowering period type of the sugarcane parent, where the parent flowering period type is a difficult-to-flower parent or an easy-to-flower parent; Determining the current growth condition of the sugarcane parent in the current growth period according to the plant image; Obtaining the species characteristics of the sugarcane parent and the environmental factors in the planting area, wherein the environmental factors include at least one of light intensity, temperature, air humidity, wind speed, pH value, electrical conductivity, soil moisture, and carbon dioxide or oxygen concentration; Determining a target induction scheme corresponding to the sugarcane parent according to the parent's flowering period type, the current growth condition, the environmental factors and the species characteristics; The environmental factors of the sugarcane parent are adjusted according to the target induction scheme so that the growth of the flower spike of the sugarcane parent meets the preset hybridization requirements.

2. The method according to claim 1, characterized in that: The step of acquiring plant images of sugarcane parents in a planting area, performing image recognition processing on the plant images, and obtaining the parent flowering period type of the sugarcane parents includes: When the image collector is located in the planting area and at a first height, a first image of the sugarcane parent is acquired, and the sugarcane part in the first image is identified according to the morphological characteristics of each organ of the plant, wherein the image collector is provided with an image sensor and a full-spectrum camera; Acquire a first spectral image of a target area captured by the full-spectrum camera, wherein the target area is an area corresponding to a plant part in the first image, and determine the plant species in the target area through spectral characteristics of each organ of the plant in the first spectral image; Acquire the environmental information of the target area through an environmental information acquisition sensor, and acquire the first plant growth status of the sugarcane parent according to the plant species and the environmental information; When the image collector is located in the planting area and at a second height, a second spectral image in the target area captured by the full-spectrum camera is acquired, and a second plant growth condition of the sugarcane parent is acquired through spectral characteristics of various organs of the plant in the second spectral image; Acquire a second image in the target area captured by the image sensor, and acquire a third plant growth condition of the sugarcane parent through morphological characteristics of each organ of the plant in the second image; According to the first plant growth condition, the second plant growth condition and the third plant growth condition, the parent flowering period type of the sugarcane parent is obtained.

3. The method according to claim 2, characterized in that The method further comprises: Recognize the plant image to identify the flower spike of the sugarcane parent and the growth information of the flower spike, wherein the growth information includes the number of flowers bloomed and the number of flower buds; The step of obtaining the parent flowering period type of the sugarcane parent according to the first plant growth condition, the second plant growth condition and the third plant growth condition comprises: determining the actual growth condition of the sugarcane parent according to the first plant growth condition, the second plant growth condition and the third plant growth condition; The parent flowering period type of the sugarcane parent is determined according to the actual growth condition and the growth condition information of the flower spike.

4. The method according to claim 2, characterized in that: The morphological characteristics of the organs of the plant include: the morphological characteristics of the stem, leaves, flowers, fruits and abnormal organs of the plant; Any one of the first plant growth condition, the second plant growth condition and the third plant growth condition comprises: growth and development condition, nutrition condition, stress physiological condition and / or pest and disease condition.

5. The method according to any one of claims 1 to 4, characterized in that Determining the current growth condition of the sugarcane parent in the current growth period according to the plant image includes: Performing image recognition processing on the plant image to determine growth parameters of the sugarcane parent, the growth parameters including at least one of leaf size, leaf density, leaf color or plant height; According to the growth parameters, the current growth condition of the sugarcane parent in the current growth period is determined.

6. The method according to claim 5, characterized in that The method further comprises: Obtaining the growth deviation in the current growth period; The step of determining the target induction scheme corresponding to the sugarcane parent according to the parent flowering period type, the current growth condition, the environmental factors and the species characteristics comprises: The target induction scheme corresponding to the sugarcane parent is determined according to the growth deviation, the parent flowering period type, the current growth condition, the environmental factors and the species characteristics.

7. The method according to any one of claims 1 to 4, characterized in that The sugarcane parent is a candidate parent for hybridization, and the method further comprises: According to the current growth conditions, the environmental factors, the species characteristics and the hybridization requirements, the breeding strategy of the sugarcane parent is adjusted so that the sugarcane parent meets the hybridization requirements.

8. A growth control system for hybrid sugarcane spikes, characterized in that: include: An image acquisition module is used to acquire plant images of sugarcane parents in a planting area, perform image recognition processing on the plant images, and obtain the parent flowering period type of the sugarcane parent, wherein the parent flowering period type is a difficult-to-flower parent or an easy-to-flower parent; A growth condition determination module, used to determine the current growth condition of the sugarcane parent in the current growth period according to the plant image; An environmental factor acquisition module, used to acquire the species characteristics of the sugarcane parent and the environmental factors in the planting area, wherein the environmental factors include at least one of light intensity, temperature, air humidity, wind speed, pH value, electrical conductivity, soil moisture, carbon dioxide or oxygen concentration; An induction scheme determination module, used to determine the target induction scheme corresponding to the sugarcane parent according to the parent flowering period type, the current growth situation, the environmental factors and the species characteristics; The adjustment module is used to adjust the environmental factors of the sugarcane parent according to the target induction scheme so that the growth of the flower spike of the sugarcane parent meets the preset hybridization requirements.

9. An electronic device, characterized in that: The method comprises a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the method according to any one of claims 1 to 7 when executing the computer program.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method according to any one of claims 1 to 7 is implemented.

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