Orchard intelligent management big data platform

Abstract

The invention discloses an orchard intelligent management big data platform, and the platform comprises an orchard crop growth disease and pest and fruiting rate data importing unit, and the electrical output end of the orchard crop growth disease and pest and fruiting rate data importing unit is connected with a remote cloud supervision unit. The electrical output end of the central control unit is connected with a crop growth pest and fruiting rate data model calculation unit; the electrical output end of the crop growth disease and pest and fruiting rate data model calculation unit is connected with a crop growth data storage and allocation unit, a crop growth abnormal disease and pest and fruiting rate data alarm unit and a crop growth disease and pest and fruiting rate data reference setting unit. Compared with an existing device, the orchard intelligent management big data platform can monitor the pest and disease damage and fruiting rate data process in real time through the crop growth pest and disease damage and fruiting rate data reference setting unit, and the orchard monitoring efficiency is improved.

Description

Technical Field

[0001] The present invention relates to the field of orchard management, and in particular to an orchard intelligent management big data platform. Background Art

[0002] my country is a major producer and consumer of fruit in the world. The planting area of ​​apples, pears, peaches, plums, lychees, kiwis and other fruits ranks first in the world. In many areas of my country, the fruit industry has become a pillar industry. Although my country has a large planting area and output of fruit and a wide variety of varieties, most orchards are poorly managed, which seriously affects the quality and sales price of the fruit and seriously affects the healthy development of my country's agricultural products.

[0003] Agricultural mechanization and intelligence are the only way for future agricultural development.

[0004] However, the current management of orchards has the following defects:

[0005] ⑴ The accuracy is not enough, and the collected and recorded data is inaccurate, resulting in a large deviation between the detected value and the actual value; (2) No big data or expert system is used to provide services, and the degree of intelligence is not high, which makes it difficult to promote and apply;

[0006] Therefore, the present invention proposes a big data platform for intelligent management of orchards. Summary of the invention

[0007] In order to overcome the shortcomings and deficiencies of the prior art, the present invention provides an orchard intelligent management big data platform. The platform includes:

[0008] An orchard crop growth pest and disease, and fruiting rate data import unit, wherein the electrical output end of the orchard crop growth pest and disease, and fruiting rate data import unit is connected to a remote cloud monitoring unit, and the electrical output end of the orchard crop growth pest and disease, and fruiting rate data model calculation unit is connected, and the electrical output end of the crop growth pest and disease, and fruiting rate data model calculation unit is respectively connected to a crop growth data storage and allocation unit, a crop growth abnormal pest and disease, and fruiting rate data alarm unit, and a crop growth pest and disease, and fruiting rate data benchmark setting unit;

[0009] A crop growth pest and disease, and fruiting rate data signal transmission unit, which is connected to the electrical output end of the crop growth abnormal pest and disease, and fruiting rate data alarm unit, and the electrical output end of the crop growth pest and disease, and fruiting rate data signal transmission unit is respectively connected to a crop growth operation data real-time update unit and a pest and disease, and fruiting rate data transmission normalization unit;

[0010] A crop growth pest and disease, and fruiting rate data threshold management unit is connected to the electrical output end of the crop growth pest and disease, and fruiting rate data benchmark setting unit, the electrical output end of the crop growth pest and disease, and fruiting rate data threshold management unit is connected to a pest and disease, and fruiting rate data platform centralized display unit, and the electrical output end of the pest and disease, and fruiting rate data platform centralized display unit is connected to an orchard manager login unit, the electrical output end of the orchard manager login unit is connected to a pest and disease, and fruiting rate data real-time tracking unit, and the electrical output end of the pest and disease, and fruiting rate data real-time tracking unit is connected to a pest and disease, and fruiting rate data curve big data statistics unit.

[0011] Furthermore, the orchard crop growth pests and diseases, fruiting rate data import unit, remote cloud monitoring unit and crop growth pests and diseases, fruiting rate data model calculation unit are connected in series, and the crop growth pests and diseases, fruiting rate data model calculation unit is electrically connected to the remote cloud monitoring unit.

[0012] Furthermore, the crop growth pests and diseases, and fruiting rate data model calculation unit is electrically connected to the crop growth data storage and allocation unit, and the crop growth pests and diseases, and fruiting rate data model calculation unit, the crop growth abnormal pests and diseases, and fruiting rate data alarm unit and the crop growth pests and diseases, and fruiting rate data signal transmission unit are connected in series.

[0013] Furthermore, the crop growth pest and disease, fruiting rate data signal transmission unit and the crop growth operation data real-time update unit are connected in series, and the crop growth operation data real-time update unit is electrically connected to the crop growth data storage and allocation unit.

[0014] Furthermore, the crop growth pests and diseases, fruiting rate data model calculation unit, crop growth pests and diseases, fruiting rate data benchmark setting unit, crop growth pests and diseases, fruiting rate data threshold management unit and crop growth pests and diseases, fruiting rate data platform centralized display unit are connected in series.

[0015] Furthermore, the pest and disease, fruiting rate data platform centralized display unit, orchard manager login unit, pest and disease, fruiting rate data real-time tracking unit and pest and disease, fruiting rate data curve big data statistics unit are connected in series, and the orchard manager login unit, crop growth pest and disease, fruiting rate data signal transmission unit and pest and disease, fruiting rate data transmission normalization unit are connected in series.

[0016] Furthermore, the crop growth pest and disease, fruiting rate data model calculation unit is also provided with:

[0017] The algorithm dynamic adjustment unit is connected to the electrical output end of the crop growth pest and disease and fruiting rate data model calculation unit, and the electrical output end of the algorithm dynamic adjustment unit is connected to the pest and disease and fruiting rate data feature extraction unit.

[0018] Furthermore, the crop growth pests and diseases, fruit-bearing rate data model calculation unit, algorithm dynamic adjustment unit and pests and diseases, fruit-bearing rate data feature extraction unit are connected in series.

[0019] Furthermore, the crop growth data storage and allocation unit is also provided with:

[0020] The pest and disease, and fruiting rate data transmission management unit is connected to the electrical output end of the crop growth data storage and allocation unit, the crop growth pest and disease, and fruiting rate data model calculation unit, the crop growth data storage and allocation unit and the pest and disease, and fruiting rate data transmission management unit are connected in series, and the pest and disease, and fruiting rate data feature extraction unit and the pest and disease, and fruiting rate data transmission management unit are electrically connected.

[0021] Furthermore, the crop growth pest and disease, fruiting rate data signal transmission unit is also provided with:

[0022] The pest and disease, and fruiting rate data threshold warning unit is connected to the electrical output end of the crop growth pest and disease, and fruiting rate data signal transmission unit, and the crop growth pest and disease, and fruiting rate data signal transmission unit is electrically connected to the pest and disease, and fruiting rate data threshold warning unit.

[0023] An orchard intelligent management big data platform includes the following steps:

[0024] Step S1: The crop growth data storage and allocation unit is used to store information on dynamic data, and then audit and compare it. The orchard crop growth pests and fruiting rate data import unit is used to detect the platform pests and fruiting rate data.

[0025] Step S2: When the input of the platform pest and fruit rate data is detected, the crop growth pest and fruit rate data model calculation unit is controlled by the remote cloud supervision unit to review the pest and fruit rate data of both parties of the pest and fruit rate data for the accuracy of the pest and fruit rate data. At this time, if there is no pest and fruit rate data information in the crop growth data storage and allocation unit, it means that the pest and fruit rate data is new pest and fruit rate data. At this time, the algorithm dynamic adjustment unit is used to update the new pest and fruit rate data. After the update, the pest and fruit rate data feature extraction unit is used to extract and review the information of the new pest and fruit rate data;

[0026] Step S3: If the pests and diseases and fruiting rate data are existing pests and diseases and fruiting rate data, directly extract the pests and diseases and fruiting rate data information from the crop growth data storage and deployment unit, and then use the pests and diseases and fruiting rate data transmission management unit to judge the accuracy of the pests and diseases and fruiting rate data through the extracted new pests and diseases and fruiting rate data information and the characteristic information of the existing pests and diseases and fruiting rate data in the crop growth data storage and deployment unit, and judge the setting level of the pests and diseases and fruiting rate data. At this time, if the accuracy of the pests and diseases and fruiting rate data is found to be unqualified and does not have the accuracy of the pests and diseases and fruiting rate data, the crop growth abnormal pests and diseases and fruiting rate data alarm unit will be used to prompt, so as to facilitate the comparison of the characteristic information of the pests and diseases and fruiting rate data, and confirm whether the characteristic information is consistent. If it is still not accurate after confirmation, the pests and diseases and fruiting rate data signal transmission unit will terminate the pests and diseases and fruiting rate data;

[0027] Step S4: The pest and disease and fruiting rate data information that does not have the accuracy of the pest and disease and fruiting rate data is transmitted to the crop growth data storage and allocation unit through the crop growth operation data real-time update unit for storage, so as to facilitate direct comparison when the pest and disease and fruiting rate data appear in the future. When the pest and disease and fruiting rate data are found to be qualified in accuracy, the normal pest and disease and fruiting rate data flow is carried out. At this time, the crop growth pest and disease and fruiting rate data benchmark setting unit monitors the pest and disease and fruiting rate data process in real time, and prompts the setting of the pest and disease and fruiting rate data through the crop growth pest and disease and fruiting rate data threshold management unit;

[0028] Step S5: The data is displayed by classification through the centralized display unit of the pest and fruit rate data platform, and the orchard manager logs in to the unit to dynamically adjust the orchard work tasks;

[0029] Step S6: After the orchard work task is certified as qualified, the platform transfers the orchard work task to the orchard work task account, and then generates a pest and fruit rate data curve through the pest and fruit rate data curve big data statistics unit as a certificate for the pest and fruit rate data. If the accuracy of the orchard work task in the task assignment certification is unqualified, the orchard work task will be returned to the login interface through the pest and fruit rate data transmission normalization unit, and the pest and fruit rate data will be terminated. At the same time, when the pest and fruit rate data transmission management unit determines that the setting level of the pest and fruit rate data is very poor, and false pest and fruit rate data or malicious pest and fruit rate data have appeared, an alarm will be directly issued through the pest and fruit rate data threshold warning unit.

[0030] Compared with the prior art, the present invention provides an orchard intelligent management big data platform, which has the following beneficial effects: the orchard intelligent management big data platform can monitor the pest and disease and fruiting rate data process in real time through the crop growth pest and disease and fruiting rate data benchmark setting unit, and classify and display the data through the pest and disease and fruiting rate data platform centralized display unit; the orchard manager login unit can dynamically adjust the orchard work tasks; the pest and disease and fruiting rate data real-time tracking unit can transfer the orchard work tasks to the orchard work task account after the orchard work tasks are certified as qualified; the pest and disease and fruiting rate data curve big data statistics unit can generate pest and disease and fruiting rate data curves as credentials for the pest and disease and fruiting rate data.

[0031] 1. The present invention can detect the input of platform pests and fruiting rate data through the orchard crop growth pests and fruiting rate data import unit, and can control the crop growth pests and fruiting rate data model calculation unit to review the pests and fruiting rate data of both parties through the remote cloud monitoring unit when the pests and fruiting rate data are input. The crop growth data storage and allocation unit can store information on dynamic data, so as to facilitate direct review and comparison. The crop growth abnormal pests and fruiting rate data alarm unit can be checked during the review of pests and fruiting rate data. When the rate data does not have the accuracy of pests and diseases and fruiting rate data, a prompt is given to facilitate the comparison of characteristic information of pests and diseases and fruiting rate data to confirm whether the characteristic information is consistent. When the pests and diseases and fruiting rate data still do not have the accuracy after confirmation, the pests and diseases and fruiting rate data signal transmission unit can terminate the pests and diseases and fruiting rate data, and the pests and diseases and fruiting rate data information that does not have the accuracy of pests and diseases and fruiting rate data can be transmitted to the crop growth data storage and deployment unit through the crop growth operation data real-time update unit for storage, so as to facilitate direct comparison when the pests and diseases and fruiting rate data appear in the future;

[0032] 2. The present invention can monitor the pest and fruit rate data process in real time through the crop growth pest and fruit rate data benchmark setting unit, the crop growth pest and fruit rate data threshold management unit can provide a reminder for setting the pest and fruit rate data after the pest and fruit rate data accuracy is verified at the audit site, the pest and fruit rate data platform centralized display unit can classify and display the data, the orchard manager login unit can dynamically adjust the orchard work tasks, the pest and fruit rate data real-time tracking unit can transfer the orchard work tasks to the orchard work task account after the orchard work tasks are certified as qualified, and the pest and fruit rate data curve big data statistics unit can generate pest and fruit rate data curves as the credentials of the pest and fruit rate data;

[0033] 3. The present invention facilitates the updating of new pest and disease and fruiting rate data through the algorithm dynamic adjustment unit. The pest and disease and fruiting rate data feature extraction unit can extract and review the information of the new pest and disease and fruiting rate data after the new pest and disease and fruiting rate data are updated. The pest and disease and fruiting rate data transmission management unit can respectively judge the accuracy of the pest and disease and fruiting rate data through the extracted new pest and disease and fruiting rate data information and the characteristic information of the pest and disease and fruiting rate data in the crop growth data storage and deployment unit, thereby judging the setting level of the pest and disease and fruiting rate data. If the accuracy is qualified, the pest and disease and fruiting rate data are normal. If the accuracy is unqualified, Termination of pest and disease, and fruit-bearing rate data, if the set level is very poor, or there have been false pest and disease, and fruit-bearing rate data or malicious pest and disease, and fruit-bearing rate data, etc., the pest and disease, and fruit-bearing rate data threshold warning unit can directly alarm to avoid the occurrence of risky pest and disease, and fruit-bearing rate data, and solves the problem that the existing pest and disease, and fruit-bearing rate data flow platform based on big data statistical technology lacks a perfect monitoring platform, so that risky pest and disease, and fruit-bearing rate data and even malicious pest and disease, and fruit-bearing rate data will appear in the process of pest and disease, and fruit-bearing rate data, disrupting the pest and disease, and fruit-bearing rate data flow, and seriously affecting the security of the pest and disease, and fruit-bearing rate data platform. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 It is a schematic diagram of the platform structure of the present invention;

[0035] Figure 2 The present invention is a flow chart of the platform usage. DETAILED DESCRIPTION

[0036] It should be noted that, in the absence of conflict, the embodiments and features in the embodiments of the present application may be combined with each other. The present application is further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0037] like Figure 1 As shown in the figure, a big data platform for intelligent management of orchards is

[0038] The platform includes: an orchard crop growth pest and disease, and fruiting rate data import unit, the electrical output end of which is connected to a remote cloud monitoring unit, and the electrical output end of which is connected to a crop growth pest and disease, and fruiting rate data model calculation unit, the orchard crop growth pest and disease, and fruiting rate data import unit, the remote cloud monitoring unit, and the crop growth pest and disease, and fruiting rate data model calculation unit are connected in series, and the crop growth pest and disease, and fruiting rate data model calculation unit is electrically connected to the remote cloud monitoring unit;

[0039] The orchard crop growth pest and disease, and fruiting rate data import unit can detect the input of the platform's pest and disease, and fruiting rate data. The remote cloud monitoring unit can control the crop growth pest and disease, and fruiting rate data model calculation unit to review the pest and disease, and fruiting rate data of both parties when the pest and disease, and fruiting rate data are input.

[0040] The electrical output end of the crop growth pest and disease, and fruiting rate data model calculation unit is respectively connected to the crop growth data storage and allocation unit, the crop growth abnormal pest and disease, and fruiting rate data alarm unit and the crop growth pest and disease, and fruiting rate data benchmark setting unit; the crop growth pest and disease, and fruiting rate data signal transmission unit is connected to the electrical output end of the crop growth abnormal pest and disease, and fruiting rate data alarm unit, and the electrical output end of the crop growth pest and disease, and fruiting rate data signal transmission unit is respectively connected to the crop growth operation data real-time update unit and the pest and disease, and fruiting rate data transmission normalization unit;

[0041] The crop growth pest and disease, fruiting rate data model calculation unit is electrically connected to the crop growth data storage and allocation unit, and the crop growth pest and disease, fruiting rate data model calculation unit, the crop growth abnormal pest and disease, fruiting rate data alarm unit and the crop growth pest and disease, fruiting rate data signal transmission unit are connected in series; the crop growth data storage and allocation unit can store information data of dynamic data, so as to facilitate direct review and comparison, and the crop growth abnormal pest and disease, fruiting rate data alarm unit can prompt when the pest and disease, fruiting rate data does not have the accuracy of the pest and disease, fruiting rate data under review, so as to facilitate the comparison of characteristic information of the pest and disease, fruiting rate data, confirm whether the characteristic information is consistent, and when it is still not accurate after confirmation, the pest and disease, fruiting rate data signal transmission unit can terminate the pest and disease, fruiting rate data; the crop growth pest and disease, fruiting rate data signal transmission unit and the crop growth operation data real-time update unit are connected in series, and the crop growth operation data real-time update unit is electrically connected to the crop growth data storage and allocation unit;

[0042] The crop growth operation data real-time update unit can transmit the pest and disease, and fruiting rate data information that does not have the accuracy of the pest and disease, and the fruiting rate data to the crop growth data storage and deployment unit for storage, so as to facilitate direct comparison when the pest and disease, and fruiting rate data appear in the future; the crop growth pest and disease, and fruiting rate data threshold management unit is connected to the electrical output end of the crop growth pest and disease, and fruiting rate data benchmark setting unit, the crop growth pest and disease, and fruiting rate data threshold management unit is connected to the pest and disease, and fruiting rate data platform centralized display unit at the electrical output end, and the pest and disease, and fruiting rate data platform centralized display unit is connected to the orchard manager login unit at the electrical output end, the crop growth pest and disease, and fruiting rate data model calculation unit, the crop growth pest and disease, and fruiting rate data benchmark setting unit, the crop growth pest and disease, and fruiting rate data threshold management unit and the pest and disease, and fruiting rate data platform centralized display unit are connected in series;

[0043] The crop growth pest and disease, and fruiting rate data benchmark setting unit can monitor the pest and disease, and fruiting rate data process in real time, and the crop growth pest and disease, and fruiting rate data threshold management unit can provide reminders for setting pest and disease, and fruiting rate data after the accuracy of the pest and disease, and fruiting rate data is verified, and the data is displayed in categories through the pest and disease, and fruiting rate data platform centralized display unit; the electrical output end of the orchard manager login unit is connected to the pest and disease, and fruiting rate data real-time tracking unit, and the electrical output end of the pest and disease, and fruiting rate data real-time tracking unit is connected to the pest and disease, and fruiting rate data curve big data statistics unit;

[0044] The pest and disease, and fruiting rate data platform centralized display unit, the orchard manager login unit, the pest and disease, and fruiting rate data real-time tracking unit and the pest and disease, and fruiting rate data curve big data statistics unit are connected in series, and the orchard manager login unit, the crop growth pest and disease, and fruiting rate data signal transmission unit and the pest and disease, and fruiting rate data transmission normalization unit are connected in series; the orchard manager login unit can dynamically adjust the orchard work tasks, the pest and disease, and fruiting rate data real-time tracking unit can transfer the orchard work tasks to the orchard work task account after the orchard work tasks are certified as qualified, and the pest and disease, and fruiting rate data curve big data statistics unit can generate pest and disease, and fruiting rate data curves as credentials for the pest and disease, and fruiting rate data.

[0045] An orchard intelligent management big data platform, comprising: an algorithm dynamic adjustment unit, which is connected to the electrical output end of a crop growth pest and disease and fruiting rate data model calculation unit, and the electrical output end of the algorithm dynamic adjustment unit is connected to a pest and disease and fruiting rate data feature extraction unit;

[0046] The crop growth pest and disease, fruiting rate data model calculation unit, algorithm dynamic adjustment unit and pest and disease, fruiting rate data feature extraction unit are connected in series. The algorithm dynamic adjustment unit facilitates the update of new pest and disease, fruiting rate data, and the pest and disease, fruiting rate data feature extraction unit can extract and review the information of new pest and disease, fruiting rate data after the new pest and disease, fruiting rate data is updated;

[0047] The pest and disease, and fruiting rate data transmission management unit is connected to the electrical output end of the crop growth data storage and allocation unit, the crop growth pest and disease, and fruiting rate data model calculation unit, the crop growth data storage and allocation unit and the pest and disease, and fruiting rate data transmission management unit are connected in series, and the pest and disease, and fruiting rate data feature extraction unit and the pest and disease, and fruiting rate data transmission management unit are electrically connected;

[0048] The pest and disease, and fruiting rate data transmission management unit can judge the accuracy of the pest and disease, and fruiting rate data by respectively extracting the new pest and disease, and fruiting rate data information and the characteristic information of the pest and disease, and fruiting rate data in the crop growth data storage and deployment unit, so as to judge the setting level of the pest and disease, and fruiting rate data. If the accuracy is qualified, the pest and disease, and fruiting rate data are normal; if the accuracy is unqualified, the pest and disease, and fruiting rate data are terminated; if the setting level is very poor, and false pest and disease, and fruiting rate data or malicious pest and disease, and fruiting rate data have appeared, etc.;

[0049] A pest and disease, and fruiting rate data threshold warning unit, which is connected to the electrical output end of the crop growth pest and disease, and fruiting rate data signal transmission unit, and the crop growth pest and disease, and fruiting rate data signal transmission unit is electrically connected to the pest and disease, and fruiting rate data threshold warning unit;

[0050] Through the pest and fruit rate data threshold warning unit, an alarm can be directly issued to avoid the occurrence of risky pests and fruit rate data, which solves the problem that the existing pest and fruit rate data flow platform based on big data statistical technology lacks a complete monitoring platform, thereby causing risky pests and fruit rate data and even malicious pests and fruit rate data to appear in the pest and fruit rate data process, disrupting the pest and fruit rate data flow and seriously affecting the security of the pest and fruit rate data platform.

[0051] like Figure 2 As shown, a big data platform for intelligent management of orchards includes the following steps:

[0052] Step S1: The crop growth data storage and allocation unit is used to store information on dynamic data, and then audit and compare it. The orchard crop growth pests and fruiting rate data import unit is used to detect the platform pests and fruiting rate data.

[0053] Step S2: When the input of the platform pest and fruit rate data is detected, the crop growth pest and fruit rate data model calculation unit is controlled by the remote cloud supervision unit to review the pest and fruit rate data of both parties of the pest and fruit rate data for the accuracy of the pest and fruit rate data. At this time, if there is no pest and fruit rate data information in the crop growth data storage and allocation unit, it means that the pest and fruit rate data is new pest and fruit rate data. At this time, the algorithm dynamic adjustment unit is used to update the new pest and fruit rate data. After the update, the pest and fruit rate data feature extraction unit is used to extract and review the information of the new pest and fruit rate data;

[0054] Step S3: If the pests and diseases and fruiting rate data are existing pests and diseases and fruiting rate data, directly extract the pests and diseases and fruiting rate data information from the crop growth data storage and deployment unit, and then use the pests and diseases and fruiting rate data transmission management unit to judge the accuracy of the pests and diseases and fruiting rate data through the extracted new pests and diseases and fruiting rate data information and the characteristic information of the existing pests and diseases and fruiting rate data in the crop growth data storage and deployment unit, and judge the setting level of the pests and diseases and fruiting rate data. At this time, if the accuracy of the pests and diseases and fruiting rate data is found to be unqualified and does not have the accuracy of the pests and diseases and fruiting rate data, the crop growth abnormal pests and diseases and fruiting rate data alarm unit will be used to prompt, so as to facilitate the comparison of the characteristic information of the pests and diseases and fruiting rate data, and confirm whether the characteristic information is consistent. If it is still not accurate after confirmation, the pests and diseases and fruiting rate data signal transmission unit will terminate the pests and diseases and fruiting rate data;

[0055] Step S4: The pest and disease and fruiting rate data information that does not have the accuracy of the pest and disease and fruiting rate data is transmitted to the crop growth data storage and allocation unit through the crop growth operation data real-time update unit for storage, so as to facilitate direct comparison when the pest and disease and fruiting rate data appear in the future. When the pest and disease and fruiting rate data are found to be qualified in accuracy, the normal pest and disease and fruiting rate data flow is carried out. At this time, the crop growth pest and disease and fruiting rate data benchmark setting unit monitors the pest and disease and fruiting rate data process in real time, and prompts the setting of the pest and disease and fruiting rate data through the crop growth pest and disease and fruiting rate data threshold management unit;

[0056] Step S5: The data is displayed by classification through the centralized display unit of the pest and fruit rate data platform, and the orchard manager logs in to the unit to dynamically adjust the orchard work tasks;

[0057] Step S6: After the orchard work task is certified as qualified, the platform transfers the orchard work task to the orchard work task account, and then generates a pest and fruit rate data curve through the pest and fruit rate data curve big data statistics unit as a certificate for the pest and fruit rate data. If the accuracy of the orchard work task in the task assignment certification is unqualified, the orchard work task will be returned to the login interface through the pest and fruit rate data transmission normalization unit, and the pest and fruit rate data will be terminated. At the same time, when the pest and fruit rate data transmission management unit determines that the setting level of the pest and fruit rate data is very poor, and false pest and fruit rate data or malicious pest and fruit rate data have appeared, an alarm will be directly issued through the pest and fruit rate data threshold warning unit.

[0058] Working principle: When using this kind of orchard intelligent management big data platform, firstly, the crop growth data storage and allocation unit is used to store the information of the existing pests and fruiting rate data previously on the big data statistical platform, so as to facilitate direct review and comparison, and the platform pests and fruiting rate data are detected through the orchard crop growth pests and fruiting rate data import unit. When the input of the platform pests and fruiting rate data is detected, the crop growth pests and fruiting rate data model calculation unit is controlled by the remote cloud monitoring unit to review the accuracy of the pests and fruiting rate data of both parties. At this time, if there is no pests and fruiting rate data information in the crop growth data storage and allocation unit, it means that the pests and fruiting rate data is new pests and fruiting rate data. At this time, the algorithm dynamic adjustment unit is used to update the new pests and fruiting rate data. After the update, the pests and fruiting rate data feature extraction unit is used to extract and review the information of the new pests and fruiting rate data;

[0059] Secondly, if the pests and diseases and fruiting rate data are existing pests and diseases and fruiting rate data, directly extract the pests and diseases and fruiting rate data information from the crop growth data storage and deployment unit, and then use the pests and diseases and fruiting rate data transmission management unit to judge the accuracy of the pests and diseases and fruiting rate data through the extracted new pests and diseases and fruiting rate data information and the characteristic information of the existing pests and diseases and fruiting rate data in the crop growth data storage and deployment unit, and judge the set level of the pests and diseases and fruiting rate data. At this time, if the accuracy of the pests and diseases and fruiting rate data is found to be unqualified and does not have the accuracy of the pests and diseases and fruiting rate data, the crop growth abnormal pests and diseases and fruiting rate data alarm unit will be used to prompt, so as to facilitate the comparison of the characteristic information of the pests and diseases and fruiting rate data to confirm whether the characteristic information is consistent. If the pests and diseases and fruiting rate data still do not have the accuracy after confirmation, the pests and diseases and fruiting rate data signal transmission unit will terminate the pests and diseases and fruiting rate data;

[0060] Then, the pest and disease and fruiting rate data information that does not have the accuracy of the pest and disease and fruiting rate data is transmitted to the crop growth data storage and allocation unit through the crop growth operation data real-time update unit for storage, so as to facilitate direct comparison when the pest and disease and fruiting rate data appear in the future. When the pest and disease and fruiting rate data are found to be qualified in accuracy, the normal pest and disease and fruiting rate data process is carried out. At this time, the crop growth pest and disease and fruiting rate data benchmark setting unit monitors the pest and disease and fruiting rate data process in real time, and prompts the pest and disease and fruiting rate data setting through the crop growth pest and disease and fruiting rate data threshold management unit, and then the pest and disease and fruiting rate data platform centralized display unit classifies and displays the data. At this time, the orchard manager logs into the unit to dynamically adjust the orchard work tasks;

[0061] Finally, after the orchard work task is certified, the platform will transfer the orchard work task to the orchard work task account, and then generate the pest and fruit rate data curve through the pest and fruit rate data curve big data statistics unit as the certificate of the pest and fruit rate data. If the accuracy of the orchard work task in the task assignment certification is unqualified, the orchard work task will be returned to the login interface through the pest and fruit rate data transmission normalization unit, and the pest and fruit rate data will be terminated. At the same time, when the pest and fruit rate data transmission management unit determines that the setting level of the pest and fruit rate data is very poor, and there have been false pest and fruit rate data or malicious pest and fruit rate data, the pest and fruit rate data threshold warning unit will directly alarm to avoid the occurrence of risky pest and fruit rate data, disrupt the pest and fruit rate data flow, and affect the security of the big data statistics pest and fruit rate data platform. This is the working principle of this kind of orchard intelligent management big data platform.

[0062] In the description of the present invention, it should be noted that, unless otherwise clearly specified and limited, the terms "set", "install", "connect", "connect", and "fix" 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 it can be indirectly connected through an intermediate medium, or it can be the internal communication of two elements. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood by specific circumstances.

[0063] Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various equivalent changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A big data platform for intelligent management of orchards, characterized in that: The platform includes: An orchard crop growth pest and disease, and fruiting rate data import unit, wherein the electrical output end of the orchard crop growth pest and disease, and fruiting rate data import unit is connected to a remote cloud monitoring unit, and the electrical output end is connected to a crop growth pest and disease, and fruiting rate data model calculation unit, and the electrical output end of the crop growth pest and disease, and fruiting rate data model calculation unit is respectively connected to a crop growth data storage and allocation unit, a crop growth abnormal pest and disease, and fruiting rate data alarm unit, and a crop growth pest and disease, and fruiting rate data benchmark setting unit; A crop growth pest and disease, and fruiting rate data signal transmission unit, which is connected to the electrical output end of the crop growth abnormal pest and disease, and fruiting rate data alarm unit, and the electrical output end of the crop growth pest and disease, and fruiting rate data signal transmission unit is respectively connected to a crop growth operation data real-time update unit and a pest and disease, and fruiting rate data transmission normalization unit; A crop growth pest and disease, and fruiting rate data threshold management unit is connected to the electrical output end of the crop growth pest and disease, and fruiting rate data benchmark setting unit, the electrical output end of the crop growth pest and disease, and fruiting rate data threshold management unit is connected to a pest and disease, and fruiting rate data platform centralized display unit, and the electrical output end of the pest and disease, and fruiting rate data platform centralized display unit is connected to an orchard manager login unit, the electrical output end of the orchard manager login unit is connected to a pest and disease, and fruiting rate data real-time tracking unit, and the electrical output end of the pest and disease, and fruiting rate data real-time tracking unit is connected to a pest and disease, and fruiting rate data curve big data statistics unit.

2. The orchard intelligent management big data platform according to claim 1, characterized in that: The orchard crop growth pests and diseases, fruiting rate data import unit, remote cloud monitoring unit and crop growth pests and diseases, fruiting rate data model calculation unit are connected in series, and the crop growth pests and diseases, fruiting rate data model calculation unit is electrically connected to the remote cloud monitoring unit.

3. The orchard intelligent management big data platform according to claim 1, characterized in that: The crop growth pests and diseases, fruiting rate data model calculation unit is electrically connected to the crop growth data storage and allocation unit, and the crop growth pests and diseases, fruiting rate data model calculation unit, the crop growth abnormal pests and diseases, fruiting rate data alarm unit and the crop growth pests and diseases, fruiting rate data signal transmission unit are connected in series.

4. The orchard intelligent management big data platform according to claim 1 is characterized in that: The crop growth pest and disease, fruiting rate data signal transmission unit and the crop growth operation data real-time updating unit are connected in series, and the crop growth operation data real-time updating unit is electrically connected to the crop growth data storage and allocation unit.

5. The orchard intelligent management big data platform according to claim 1, characterized in that: The crop growth pests and diseases, fruiting rate data model calculation unit, crop growth pests and diseases, fruiting rate data benchmark setting unit, crop growth pests and diseases, fruiting rate data threshold management unit and crop growth pests and diseases, fruiting rate data platform centralized display unit are connected in series.

6. The orchard intelligent management big data platform according to claim 1, characterized in that: The pest and disease, fruiting rate data platform centralized display unit, orchard manager login unit, pest and disease, fruiting rate data real-time tracking unit and pest and disease, fruiting rate data curve big data statistics unit are connected in series, and the orchard manager login unit, crop growth pest and disease, fruiting rate data signal transmission unit and pest and disease, fruiting rate data transmission normalization unit are connected in series.

7. The orchard intelligent management big data platform according to claim 1, characterized in that: The crop growth pests and diseases, and fruiting rate data model calculation unit is also provided with: an algorithm dynamic adjustment unit, which is connected to the electrical output end of the crop growth pests and diseases, and fruiting rate data model calculation unit, and the electrical output end of the algorithm dynamic adjustment unit is connected to the pests and diseases, and fruiting rate data feature extraction unit, and the crop growth pests and diseases, and fruiting rate data model calculation unit, the algorithm dynamic adjustment unit and the pests and diseases, and fruiting rate data feature extraction unit are connected in series.

8. The orchard intelligent management big data platform according to claim 7, characterized in that: The crop growth data storage and allocation unit is also provided with: a pest and disease, and fruiting rate data transmission management unit, which is connected to the electrical output end of the crop growth data storage and allocation unit, the crop growth pest and disease, and fruiting rate data model calculation unit, the crop growth pest and disease, and fruiting rate data storage and allocation unit and the pest and disease, and fruiting rate data transmission management unit are connected in series, and the pest and disease, and fruiting rate data feature extraction unit and the pest and disease, and fruiting rate data transmission management unit are electrically connected.

9. The orchard intelligent management big data platform according to claim 1, characterized in that: The crop growth pests and diseases, and fruiting rate data signal transmission unit is also provided with: a pests and diseases, and fruiting rate data threshold warning unit, which is connected to the electrical output end of the crop growth pests and diseases, and fruiting rate data signal transmission unit, and the crop growth pests and diseases, and fruiting rate data signal transmission unit is electrically connected to the pests and diseases, and fruiting rate data threshold warning unit.

10. An orchard intelligent management big data platform according to any one of claims 1 to 9, characterized in that: The operation steps of the platform include: Step S1: The crop growth data storage and allocation unit is used to store information on dynamic data, and then audit and compare it. The orchard crop growth pests and fruiting rate data import unit is used to detect the platform pests and fruiting rate data; Step S2: when the input of the platform pest and disease and fruiting rate data is detected, the crop growth pest and disease and fruiting rate data model calculation unit is controlled by the remote cloud monitoring unit to review the pest and disease and fruiting rate data of both parties; Step S3: if the pest and disease and fruiting rate data are existing pest and disease and fruiting rate data, directly extract the pest and disease and fruiting rate data information from the crop growth data storage and deployment unit, and then use the pest and disease and fruiting rate data transmission management unit to judge the accuracy of the pest and disease and fruiting rate data by using the extracted new pest and disease and fruiting rate data information and the characteristic information of the existing pest and disease and fruiting rate data in the crop growth data storage and deployment unit, and judge the setting level of the pest and disease and fruiting rate data; Step S4: The plant growth operation data real-time update unit transmits the plant growth pest and fruiting rate data information that does not have accurate plant growth pest and fruiting rate data to the plant growth data storage and allocation unit for storage, so as to facilitate direct comparison when the plant growth pest and fruiting rate data appears in the future; Step S5: The data is displayed by classification through the centralized display unit of the pest and fruit rate data platform, and the orchard manager logs in to the unit to dynamically adjust the orchard work tasks; Step S6: After the orchard work task is certified, the platform transfers the orchard work task to the orchard work task account, and then generates the pest and fruit rate data curve through the pest and fruit rate data curve big data statistics unit. At the same time, when the pest and fruit rate data transmission management unit determines that the pest and fruit rate data setting level is very poor, and there have been false pest and fruit rate data or malicious pest and fruit rate data, an alarm is directly issued through the pest and fruit rate data threshold warning unit.

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