Crop monitoring method and system based on cloud data, terminal and storage medium

Abstract

The invention belongs to the technical field of crop management, and particularly relates to a crop monitoring method and system based on cloud data, a terminal and a storage medium. The crop monitoring method based on cloud data comprises the following steps: constructing a monitoring database of crops to obtain corresponding preset crops; determining identity information data of the to-be-monitored crops; scanning to obtain initial shape structure data of the to-be-monitored crop; acquiring actual cultivation data of the to-be-monitored crops in a preset time period; comparing the initial appearance structure data and the actual breeding data with corresponding data in a monitoring database to obtain a data difference between the to-be-monitored crop and the preset crop; and obtaining a corresponding monitoring management result according to the data difference. The system can improve the monitoring efficiency, and guarantees the healthy growth of crops.

Description

Technical Field

[0001] The present invention belongs to the technical field of crop management, and in particular relates to a crop monitoring method, system, terminal and storage medium based on cloud data. Background Art

[0002] With the development of my country's agriculture and rural economy, agricultural production methods have gradually changed from traditional extensive to modern intensive management methods, and agricultural planting informatization has developed rapidly. Using cloud information and big data analysis to guide and control agricultural planting is a new trend in the development of agricultural planting.

[0003] However, some existing regions have begun to apply IoT technology to crop monitoring. However, there are often problems such as single system functions, limited monitoring objects, and insufficient data analysis, so the monitoring and management efficiency is low, which is not conducive to the healthy growth of crops. Summary of the invention

[0004] The purpose of the present invention is to provide a crop monitoring method based on cloud data to address the deficiencies of the prior art and to solve any of the above technical problems.

[0005] In order to achieve the above object, the present invention adopts the following technical solution:

[0006] A crop monitoring method based on cloud data comprises the following steps:

[0007] S1. Build a crop monitoring database to obtain corresponding preset crops;

[0008] S2. Determine the identity information data of the crops to be monitored;

[0009] S3, scanning and obtaining preliminary appearance and structure data of the crop to be monitored;

[0010] S4. Acquire actual breeding data of the crop to be monitored within a preset time period;

[0011] S5, combining the preliminary appearance structure data and the actual breeding data with the corresponding data in the monitoring database to obtain the data difference between the crop to be monitored and the preset crop;

[0012] S6. Obtain corresponding monitoring management results based on the data difference.

[0013] Preferably, the step of constructing a monitoring database of crops to obtain corresponding preset crops includes:

[0014] Choose from different varieties of raw crops with preset quantities;

[0015] Collecting first body size data and first initial breeding data of original crops of the same variety at different times; wherein the first body size data includes fruit size, fruit color and structure data other than fruit of the original crops;

[0016] Calculate a weighted average value according to the first body size data corresponding to all original crops of the same variety at the same and corresponding periods to obtain preset structural data;

[0017] Calculate a weighted average value according to the first initial breeding data corresponding to all original crops of the same variety in the same and corresponding period to obtain preset breeding data;

[0018] A monitoring database for crops is constructed according to preset structural data and preset breeding data, and corresponding preset crops are obtained.

[0019] Preferably, the step of determining the identity information data of the crop to be monitored comprises the following:

[0020] Determine the variety information of the crops to be monitored and the information of the corresponding breeding managers.

[0021] Preferably, the step of scanning and acquiring preliminary appearance and structure data of the crop to be monitored includes the following steps:

[0022] At least two sets of visual scanning components are used to scan the crops to be monitored within a preset time period to obtain the measured body size data in a preset angle direction obliquely upward in at least one direction of the three-dimensional position of the crops to be monitored;

[0023] The preliminary structural information data of the crop to be monitored is obtained according to the body size data to be measured.

[0024] Preferably, the step of obtaining actual breeding data of the crop to be monitored within a preset time period includes the following:

[0025] The actual breeding data of the corresponding crops to be monitored is obtained according to the growth cycle of the crops to be monitored and the breeding record data of the breeding manager.

[0026] Preferably, the step of comparing the preliminary appearance structure data and the actual breeding data with the corresponding data in the monitoring database comprises the following:

[0027] Comparing the preliminary structure information data with the preset structure data to obtain a body size ratio difference;

[0028] Comparing the actual breeding data with the preset breeding data to obtain a breeding ratio difference;

[0029] According to the formed body size ratio difference and the formed breeding ratio difference; the data difference between the crop to be monitored and the preset crop is obtained.

[0030] Preferably, the step of obtaining the corresponding monitoring management result according to the data difference includes the following:

[0031] When the ratio of the data difference is between 0% and 10%, the corresponding monitoring management result is excellent; and at the same time, a favorable feedback message is generated to the user terminal;

[0032] When the data difference ratio is between 10% and 25%, the corresponding monitoring management result is medium; and at the same time, feedback information of reflection is generated to the user terminal;

[0033] When the ratio of the data difference is greater than 25, the corresponding monitoring management result is unsatisfactory; at the same time, a warning and maintenance feedback information is generated to the user terminal.

[0034] The present invention also discloses a crop monitoring system based on cloud data, which is used to execute the above-mentioned crop monitoring method based on cloud data; the crop monitoring system based on cloud data comprises:

[0035] A model building module, wherein the model building module is used to build a monitoring database of crops to obtain corresponding preset crops;

[0036] A collection module, the collection module is used to determine the identity information data of the crops to be monitored, and to scan and obtain preliminary appearance structure data of the crops to be monitored, and to obtain actual breeding data of the crops to be monitored within a preset time period;

[0037] A comparison module, the comparison module is used to compare the preliminary appearance structure data and the actual breeding data with corresponding data in the monitoring database to obtain the data difference between the crop to be monitored and the preset crop;

[0038] An analysis module is used to obtain corresponding monitoring and management results according to the data difference.

[0039] The invention also discloses a cloud data-based crop monitoring terminal, which includes: a memory, a processor, and a cloud data-based crop monitoring program stored in the memory and executable on the processor. When the cloud data-based crop monitoring program is executed by the processor, the steps of the cloud data-based crop monitoring method are implemented.

[0040] The invention also discloses a storage medium, on which a cloud data-based crop monitoring program is stored. When the cloud data-based crop monitoring program is executed by a processor, the steps of the cloud data-based crop monitoring method are implemented.

[0041] The beneficial effect of the present invention is that the technical solution adopts the method of constructing a monitoring database of crops to obtain corresponding preset crops, which is conducive to the subsequent intuitive comparison and display between the crops to be monitored and the preset crops; then the identity information data of the crops to be monitored is determined, so that targeted and authentic comparative monitoring can be carried out to ensure the accuracy of monitoring; then the preliminary appearance structure data of the crops to be monitored is scanned and obtained, which is conducive to the subsequent comparison of the preliminary appearance structure data with the preset appearance structure data of the monitoring database of crops, and further targeted comparative monitoring is carried out to ensure the accuracy of monitoring; then the actual breeding data of the crops to be monitored within the preset time period is obtained, which is conducive to the subsequent judgment of the rationality of the breeding of the crops to be monitored within the time period; then the preliminary appearance structure data and the actual breeding data are compared with the corresponding data in the monitoring database to obtain the data difference between the crops to be monitored and the preset crops, and finally the corresponding monitoring management results are obtained according to the data difference; thereby the growth of the crops to be monitored can be obtained more quickly, and the steps of picking and analyzing the crops to be monitored can be reduced; thus, the rapidity and effectiveness of monitoring can be ensured, and the monitoring efficiency can be improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] The following will refer to the attached Figures 1 to 3 To describe the features, advantages and technical effects of exemplary embodiments of the present invention.

[0043] Figure 1 A flowchart of a crop monitoring method based on cloud data according to an embodiment of the present invention;

[0044] Figure 2 This is a structural block diagram of a crop monitoring system based on cloud data according to an embodiment of the present invention;

[0045] Figure 3 This is a structural block diagram of a crop monitoring terminal based on cloud data according to an embodiment of the present invention.

[0046] In the figure: 1001 - processor; 1002 - communication bus; 1003 - user interface; 1004 - network interface; 1005 - memory. DETAILED DESCRIPTION

[0047] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by technicians in the technical field to which this application belongs; the terms used herein are only for the purpose of describing specific embodiments and are not intended to limit this application; the terms "including" and "having" in the specification and claims of this application and the above-mentioned figure descriptions and any variations thereof are intended to cover non-exclusive inclusions.

[0048] In the description of the embodiments of the present application, the technical terms "first", "second", etc. are only used to distinguish different objects, and cannot be understood as indicating or implying relative importance or implicitly indicating the number, specific order or primary and secondary relationship of the indicated technical features. In the description of the embodiments of the present application, the meaning of "multiple" is more than two, unless otherwise clearly and specifically defined.

[0049] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0050] In the description of the embodiments of the present application, the term "and / or" is only a description of the association relationship of the associated objects, indicating that there may be three relationships. For example, A and / or B can mean: A exists alone, A and B exist at the same time, and multiple situations exist alone. In addition, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship.

[0051] In the description of the embodiments of the present application, unless otherwise clearly specified and limited, technical terms such as "installed", "connected", "connected", "fixed" and the like should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, and it can be the internal connection of two elements or the interaction relationship between two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the embodiments of the present application can be understood according to the specific circumstances.

[0052] The present invention proposes a crop monitoring method, system, terminal and storage medium based on cloud data

[0053] like Figure 3 As shown, Figure 3 It is a schematic diagram of the terminal structure of the hardware operating environment involved in the embodiment of the present invention.

[0054] The terminal in the embodiment of the present invention can be a PC, or it can be a mobile terminal device with display function such as a smart phone, a tablet computer, an e-book reader, an MP3 (Moving Picture Experts Group Audio Layer III) player, an MP4 (Moving Picture Experts Group Audio Layer IV) player, a portable computer, etc.

[0055] like Figure 3 As shown, the terminal may include: a processor 1001, such as a CPU, a network interface 1004, a user interface 1003, a memory 1005, and a communication bus 1002. Among them, the communication bus 1002 is used to realize the connection and communication between these components. The user interface 1003 may include a display screen (Display), an input unit such as a keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface and a wireless interface. The network interface 1004 may optionally include a standard wired interface and a wireless interface (such as a WI-FI interface). The memory 1005 may be a high-speed RAM memory, or a stable memory (non-volatile memory), such as a disk memory. The memory 1005 may also be a storage device independent of the aforementioned processor 1001.

[0056] Optionally, the terminal may also include a camera, an RF (Radio Frequency) circuit, a sensor, an audio circuit, a Wi F i module, and the like. Among them, sensors include light sensors, motion sensors, and other sensors. Specifically, the light sensor may include an ambient light sensor and a proximity sensor, wherein the ambient light sensor may adjust the brightness of the display screen according to the brightness of the ambient light, and the proximity sensor may turn off the display screen and / or backlight when the mobile terminal is moved to the ear. As a type of motion sensor, the gravity acceleration sensor can monitor the magnitude of acceleration in each direction (generally three axes), and can monitor the magnitude and direction of gravity when stationary. It can be used for applications that identify the posture of the mobile terminal (such as horizontal and vertical screen switching, related games, magnetometer posture calibration), vibration recognition related functions (such as pedometer, tapping), etc.; of course, the mobile terminal may also be equipped with other sensors such as gyroscopes, barometers, hygrometers, thermometers, infrared sensors, etc., which will not be repeated here.

[0057] Those skilled in the art will appreciate that the terminal structure shown in the figure does not constitute a limitation on the terminal, and may include more or fewer components than shown in the figure, or combine certain components, or arrange the components differently.

[0058] Reference Figure 1 One embodiment of the present invention provides a crop monitoring method based on cloud data, a system, a terminal and a storage medium, such as Figure 1 As shown, the crop monitoring method based on cloud data includes the following steps:

[0059] S1. Build a crop monitoring database to obtain corresponding preset crops;

[0060] S2. Determine the identity information data of the crops to be monitored;

[0061] S3, scanning and obtaining preliminary appearance and structure data of the crop to be monitored;

[0062] S4. Acquire actual breeding data of the crop to be monitored within a preset time period;

[0063] S5, combining the preliminary appearance structure data and the actual breeding data with the corresponding data in the monitoring database to obtain the data difference between the crop to be monitored and the preset crop;

[0064] S6. Obtain corresponding monitoring management results based on the data difference.

[0065] The technical solution of the present invention adopts the method of constructing a monitoring database of crops to obtain corresponding preset crops, which is conducive to the subsequent intuitive comparison and display between the crops to be monitored and the preset crops; then the identity information data of the crops to be monitored is determined, so that targeted and authentic comparative monitoring can be carried out to ensure the accuracy of monitoring; then the preliminary appearance structure data of the crops to be monitored is scanned and obtained, which is conducive to the subsequent comparison of the preliminary appearance structure data with the preset appearance structure data of the crop monitoring database, and further targeted comparative monitoring is carried out to ensure the accuracy of monitoring; then the actual breeding data of the crops to be monitored within the preset time period is obtained, which is conducive to the subsequent judgment of the rationality of the breeding of the crops to be monitored within the time period; then the preliminary appearance structure data and the actual breeding data are compared with the corresponding data in the monitoring database to obtain the data difference between the crops to be monitored and the preset crops, and finally the corresponding monitoring management results are obtained according to the data difference; thereby the growth conditions of the crops to be monitored can be obtained more quickly, and the steps of picking and analyzing the crops to be monitored can be reduced; thus, the rapidity and effectiveness of monitoring can be ensured, and the monitoring efficiency can be improved.

[0066] Specifically, in some embodiments, in S1, the step of constructing a monitoring database of crops to obtain corresponding preset crops includes:

[0067] Select different varieties and preset quantities of original crops; wherein the original crops include rice, corn, radish, cabbage, celery, leek, garlic, onion, carrot, melon, lotus vegetable, Jerusalem artichoke, sword bean, coriander, lettuce, daylily, pepper, cucumber, tomato, coriander, etc.; the preset quantity is 300m 2 ~500m 2 The amount of food corresponding to the area;

[0068] Collecting first body size data and first initial breeding data of the same variety of original crops at different times; wherein the first body size data includes fruit size, fruit color and structure data (branches or leaves, etc.) of the original crops except for the fruit;

[0069] Calculate a weighted average value according to the first body size data corresponding to all original crops of the same variety at the same and corresponding periods to obtain preset structural data;

[0070] Calculate a weighted average value according to the first initial breeding data corresponding to all original crops of the same variety in the same and corresponding period to obtain preset breeding data;

[0071] A monitoring database for crops is constructed according to preset structural data and preset breeding data, and corresponding preset crops are obtained.

[0072] That is to say, first select 300m 2 ~500m 2 The amount of corn corresponding to the area; then monitor the first body size data of corn at different stages of infancy, middle stage and maturity; at the same time, the corresponding first initial breeding data needs to be recorded; and the two data are weighted averaged to build a breeding crop database of corresponding varieties, and at the same time; obtain the most ideal preset breeding data and preset structure data for customers or breeders; thereby improving the effectiveness of monitoring data and breeding efficiency.

[0073] Among them, the conditions for preset crops are: 1. The fruit size, fruit color and structure data other than the fruit are relatively balanced; 2. A relatively appropriate amount of first initial breeding data can obtain the expected first body size data. This method can ensure the accuracy of the preset reference data of breeding pigs and guarantee breeding efficiency.

[0074] The steps of constructing a monitoring database of crops according to preset structural data and preset breeding data, and obtaining corresponding preset crops include:

[0075] constructing corresponding specific crop models for the original crops corresponding to all the first body size data;

[0076] The preset crops corresponding to the preset structural data are constructed to form corresponding preset crop structural models.

[0077] In other words, by constructing specific crop models for specific particles and pre-setting crop structure models, the standards for subsequent crop monitoring can be further obtained, thereby improving the accuracy and speed of monitoring and improving monitoring efficiency.

[0078] Specifically, in some embodiments, in S2, the step of determining the identity information data of the crop to be monitored includes the following:

[0079] Determine the variety information of the crops to be monitored and the information of the corresponding breeding managers. In other words, confirm the variety information of the crops and the corresponding responsible managers, so as to facilitate the subsequent import of which crop data for comparison monitoring, thereby improving the accuracy and efficiency of monitoring.

[0080] Specifically, in some embodiments, in S3, the step of scanning and acquiring preliminary appearance structure data of the crop to be monitored includes the following:

[0081] At least two sets of visual scanning components are used to scan the crops to be monitored within a preset time period to obtain the measured body size data in the direction of a preset angle obliquely upward in at least one direction of the three-dimensional orientation of the crops to be monitored; wherein the preset angle direction obliquely upward is a direction of 15 to 30 degrees obliquely upward; wherein the visual scanning component is a camera and a color mark sensor connected to the side of the camera; the color mark sensor refers to the detection of various labels, even if the background color has a slight difference in color, it can be detected, and the processing speed is fast. In addition, the color mark sensor can automatically adapt to the wavelength and can detect small differences in grayscale values, regardless of the mixed color of the label and the background;

[0082] The preliminary structural information data of the crop to be monitored is obtained according to the body size data to be measured.

[0083] The preset duration is 15 to 20 minutes. That is to say, since the crops to be monitored may be blocked or overlapped during the breeding process, and a certain angle may be blocked, it is necessary to monitor the crops to be monitored at multiple different angles in three-dimensional orientation to ensure the accuracy of the collected data and improve the monitoring efficiency.

[0084] Specifically, in some embodiments, in S4, the step of obtaining actual breeding data of the crop to be monitored within a preset time period includes the following:

[0085] According to the growth cycle of the crops to be monitored and the breeding record data of the breeding manager, the actual breeding data of the corresponding crops to be monitored is obtained. In other words, the relationship between the actual breeding data and the actual preliminary appearance structure data is obtained, so that corresponding adjustments can be made according to the differences between the crops to be monitored and the preset crops in the future; thereby ensuring the comprehensiveness and accuracy of the monitoring data and improving the monitoring efficiency.

[0086] Specifically, in some embodiments, in S5, the step of comparing the preliminary appearance structure data and the actual breeding data with the corresponding data in the monitoring database includes the following:

[0087] Comparing the preliminary structure information data with the preset structure data to obtain a body size ratio difference;

[0088] Comparing the actual breeding data with the preset breeding data to obtain a breeding ratio difference;

[0089] According to the formed body size ratio difference and the formed breeding ratio difference; the data difference between the crop to be monitored and the preset crop is obtained.

[0090] In other words, determining the difference in body size ratios will facilitate subsequent adjustments to the required elements or the breeder's breeding habits and methods according to the ratio; thereby determining whether the breeding is reasonable during this period of time, and being able to know how to make adjustments; thereby improving the accuracy of monitoring.

[0091] Specifically, in some implementations, in S6, the step of obtaining the corresponding monitoring management result according to the data difference includes the following:

[0092] When the data difference ratio is between 0% and 10%, the corresponding monitoring management result is excellent; at the same time, positive feedback information is generated to the user terminal; the positive feedback information may be "you have done well in this stage, please continue to maintain it";

[0093] When the data difference ratio is between 10% and 25%, the corresponding monitoring management result is medium; at the same time, feedback information of reflection is generated to the user terminal; the feedback information of reflection can be that the stage is average and the problem needs to be found out;

[0094] When the ratio of the data difference is greater than 25, the corresponding monitoring management result is unsatisfactory; at the same time, warning and maintenance feedback information is generated to the user terminal; the warning and maintenance feedback information may be unsatisfactory at this stage, please correct the problem and strengthen management, etc.

[0095] Specifically, in some embodiments, the crop monitoring based on cloud data further includes:

[0096] The cultivation method of the crop to be monitored is readjusted according to the preliminary structural information data.

[0097] That is to say, based on the preliminary structural information data of the crops to be monitored, it is obtained whether each position of the crops to be monitored is in any abnormal phenomenon; then the management cycle and watering composition of the crops to be monitored are adjusted according to the corresponding abnormal phenomena; thereby achieving targeted monitoring and adjustment, and then the crops to be monitored can be converted into preset crops more quickly.

[0098] The present invention also provides a crop monitoring system based on cloud data.

[0099] Specifically, Figure 2 As shown, the crop monitoring system based on cloud data includes:

[0100] A model building module 610, wherein the model building module 610 is used to build a monitoring database of crops to obtain corresponding preset crops;

[0101] A collection module 620, the collection module 620 is used to determine the identity information data of the crop to be monitored, and to scan and obtain preliminary appearance structure data of the crop to be monitored, and to obtain actual breeding data of the crop to be monitored within a preset time period;

[0102] A comparison module 630, wherein the comparison module 630 is used to compare the preliminary appearance structure data and the actual breeding data with corresponding data in the monitoring database to obtain a data difference between the crop to be monitored and the preset crop;

[0103] The analysis module 640 is used to obtain corresponding monitoring management results according to the data difference.

[0104] In addition, an embodiment of the present invention further provides a computer-readable storage medium, on which a cloud-data-based crop monitoring program is stored. When the cloud-data-based crop monitoring program is executed by a processor, the following operations are implemented:

[0105] Build a crop monitoring database to obtain the corresponding preset crops;

[0106] Determine the identity information data of the crops to be monitored;

[0107] Scanning and acquiring preliminary appearance and structure data of the crops to be monitored;

[0108] Acquiring actual breeding data of the crops to be monitored within a preset time period;

[0109] combining the preliminary appearance structure data and the actual breeding data with corresponding data in a monitoring database to obtain a data difference between the crop to be monitored and the preset crop;

[0110] According to the data difference, the corresponding monitoring and management result is obtained.

[0111] Furthermore, the step of constructing a monitoring database of crops to obtain corresponding preset crops includes:

[0112] Choose from different varieties of raw crops with preset quantities;

[0113] Collecting first body size data and first initial breeding data of original crops of the same variety at different times; wherein the first body size data includes fruit size, fruit color and structure data other than fruit of the original crops;

[0114] Calculate a weighted average value according to the first body size data corresponding to all original crops of the same variety at the same and corresponding periods to obtain preset structural data;

[0115] Calculate a weighted average value according to the first initial breeding data corresponding to all original crops of the same variety in the same and corresponding period to obtain preset breeding data;

[0116] A monitoring database for crops is constructed according to preset structural data and preset breeding data, and corresponding preset crops are obtained.

[0117] Furthermore, the step of determining the identity information data of the crop to be monitored includes the following:

[0118] Determine the variety information of the crops to be monitored and the information of the corresponding breeding managers.

[0119] Furthermore, the step of scanning and acquiring the preliminary appearance structure data of the crop to be monitored includes the following:

[0120] At least two sets of visual scanning components are used to scan the crops to be monitored within a preset time period to obtain the measured body size data in a preset angle direction obliquely upward in at least one direction of the three-dimensional position of the crops to be monitored;

[0121] The preliminary structural information data of the crop to be monitored is obtained according to the body size data to be measured.

[0122] Furthermore, the step of obtaining actual breeding data of the crops to be monitored within a preset time period includes the following:

[0123] The actual breeding data of the corresponding crops to be monitored is obtained according to the growth cycle of the crops to be monitored and the breeding record data of the breeding manager.

[0124] Furthermore, the step of comparing the preliminary appearance structure data and the actual breeding data with the corresponding data in the monitoring database includes the following:

[0125] Comparing the preliminary structure information data with the preset structure data to obtain a body size ratio difference;

[0126] Comparing the actual breeding data with the preset breeding data to obtain a breeding ratio difference;

[0127] According to the formed body size ratio difference and the formed breeding ratio difference; the data difference between the crop to be monitored and the preset crop is obtained.

[0128] Furthermore, the step of obtaining the corresponding monitoring management result according to the data difference includes the following:

[0129] When the ratio of the data difference is between 0% and 10%, the corresponding monitoring management result is excellent; and at the same time, a favorable feedback message is generated to the user terminal;

[0130] When the data difference ratio is between 10% and 25%, the corresponding monitoring management result is medium; and at the same time, feedback information of reflection is generated to the user terminal;

[0131] When the ratio of the data difference is greater than 25, the corresponding monitoring management result is unsatisfactory; at the same time, a warning and maintenance feedback information is generated to the user terminal.

[0132] In addition, it should be understood that although the present specification is described according to implementation modes, not every implementation mode includes only one independent technical solution. This description of the specification is only for the sake of clarity. Those skilled in the art should regard the specification as a whole. The technical solutions in each embodiment can also be appropriately combined to form other implementation modes that can be understood by those skilled in the art.

[0133] According to the disclosure and teaching of the above description, those skilled in the art to which the present invention belongs can also change and modify the above embodiment. Therefore, the present invention is not limited to the above specific embodiment, and any obvious improvement, replacement or modification made by those skilled in the art on the basis of the present invention belongs to the protection scope of the present invention. In addition, although some specific terms are used in this specification, these terms are only for the convenience of description and do not constitute any limitation to the present invention.

Claims

1. A crop monitoring method based on cloud data, characterized in that: The following steps are involved: S1. Build a crop monitoring database to obtain corresponding preset crops; S2. Determine the identity information data of the crops to be monitored; S3, scanning and obtaining preliminary appearance and structure data of the crop to be monitored; S4. Acquire actual breeding data of the crop to be monitored within a preset time period; S5, combining the preliminary appearance structure data and the actual breeding data with the corresponding data in the monitoring database to obtain the data difference between the crop to be monitored and the preset crop; S6. Obtain corresponding monitoring management results based on the data difference.

2. The crop monitoring method based on cloud data according to claim 1, characterized in that: The step of constructing a crop monitoring database to obtain corresponding preset crops includes: Choose from different varieties of raw crops with preset quantities; Collecting first body size data and first initial breeding data of original crops of the same variety at different times; wherein the first body size data includes fruit size, fruit color and structure data of the original crops except for the fruit; Calculate a weighted average value according to the first body size data corresponding to all original crops of the same variety at the same and corresponding periods to obtain preset structural data; Calculate a weighted average value according to the first initial breeding data corresponding to all original crops of the same variety in the same and corresponding period to obtain preset breeding data; A monitoring database for crops is constructed according to preset structural data and preset breeding data, and corresponding preset crops are obtained.

3. The crop monitoring method based on cloud data according to claim 1, characterized in that: The step of determining the identity information data of the crop to be monitored includes the following: Determine the variety information of the crops to be monitored and the information of the corresponding breeding managers.

4. The crop monitoring method based on cloud data according to claim 2, characterized in that: The step of scanning and acquiring the preliminary appearance and structure data of the crop to be monitored includes the following steps: At least two sets of visual scanning components are used to scan the crops to be monitored within a preset time period to obtain the measured body size data in a preset angle direction obliquely upward in at least one direction of the three-dimensional position of the crops to be monitored; The preliminary structural information data of the crop to be monitored is obtained according to the body size data to be measured.

5. The crop monitoring method based on cloud data according to claim 4, characterized in that: The step of obtaining actual breeding data of the crop to be monitored within a preset time period includes the following: The actual breeding data of the corresponding crops to be monitored is obtained according to the growth cycle of the crops to be monitored and the breeding record data of the breeding manager.

6. The crop monitoring method based on cloud data according to claim 5, characterized in that: The step of comparing the preliminary appearance structure data and the actual breeding data with the corresponding data in the monitoring database includes the following: Comparing the preliminary structure information data with the preset structure data to obtain a body size ratio difference; Comparing the actual breeding data with the preset breeding data to obtain a breeding ratio difference; According to the formed body size ratio difference and the formed breeding ratio difference; the data difference between the crop to be monitored and the preset crop is obtained.

7. The crop monitoring method based on cloud data according to claim 1, characterized in that: The step of obtaining the corresponding monitoring management result according to the data difference includes the following: When the ratio of the data difference is between 0% and 10%, the corresponding monitoring management result is excellent; and at the same time, a favorable feedback message is generated to the user terminal; When the data difference ratio is between 10% and 25%, the corresponding monitoring management result is medium; and at the same time, feedback information of reflection is generated to the user terminal; When the ratio of the data difference is greater than 25, the corresponding monitoring management result is unsatisfactory; at the same time, a warning and maintenance feedback information is generated to the user terminal.

8. A crop monitoring system based on cloud data, characterized in that: Used to execute the crop monitoring method based on cloud data according to any one of claims 1 to 7 above; the crop monitoring system based on cloud data comprises: A model building module, wherein the model building module is used to build a monitoring database of crops to obtain corresponding preset crops; A collection module, the collection module is used to determine the identity information data of the crops to be monitored, and to scan and obtain preliminary appearance structure data of the crops to be monitored, and to obtain actual breeding data of the crops to be monitored within a preset time period; A comparison module, the comparison module is used to compare the preliminary appearance structure data and the actual breeding data with corresponding data in the monitoring database to obtain the data difference between the crop to be monitored and the preset crop; An analysis module is used to obtain corresponding monitoring and management results according to the data difference.

9. A crop monitoring terminal based on cloud data, characterized in that: The cloud data-based crop monitoring terminal includes: a memory, a processor, and a cloud data-based crop monitoring program stored in the memory and executable on the processor. When the cloud data-based crop monitoring program is executed by the processor, the steps of the cloud data-based crop monitoring method as described in any one of claims 1 to 7 are implemented.

10. A storage medium, characterized in that: The storage medium stores a crop monitoring program based on cloud data, and when the crop monitoring program based on cloud data is executed by a processor, the steps of the crop monitoring method based on cloud data as described in any one of claims 1 to 7 are implemented.

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