CN117035196A - Agricultural production informatization management system based on data analysis - Google Patents
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Abstract
The application discloses an agricultural production informatization management system based on data analysis, which relates to the technical field of agricultural production informatization management and solves the technical problem that in the prior art, when the planting state is abnormal, informatization analysis and management and control can not be carried out on three directions of planting operation, crop type and production prediction in the agricultural production process, the planting process in an agricultural planting area is analyzed, whether the real-time planting operation in the crop planting process meets the planting requirement is judged, the abnormal planting process is prevented, the deviation of the crop planting qualification rate in the same sub-area is caused, the non-synchronous planting efficiency of adjacent sub-areas is also caused, and the management and control cost of the agricultural planting area is increased; analyzing the crop types of all the subareas in the agricultural planting area, and judging whether the crop types planted in the subareas have influence or not; and the accuracy evaluation is carried out on the production prediction in the current agricultural planting area, so that the high efficiency and feasibility of agricultural planting are improved.
Description
Technical Field
The application relates to the technical field of agricultural production informatization management, in particular to an agricultural production informatization management system based on data analysis.
Background
Agricultural production refers to the production activity of planted crops. Including the production of crops such as grains, cotton, oil, hemp, silk, tea, sugar, vegetables, cigarettes, fruits, medicines, miscellaneous (referring to other commercial crops, green manure crops, feed crops and other crops); agricultural informatization is becoming more and more important for the development of agriculture, and without agricultural informatization, modernization of agriculture is not possible.
But in the prior art, the planting state analysis can not be carried out on a planting area in the agricultural production process, and the information analysis management and control can not be carried out on three directions of planting operation, crop type and production prediction in the agricultural production process when the planting state is abnormal, so that the agricultural planting efficiency is low and the survival rate of crop planting can not be guaranteed.
In view of the above technical drawbacks, a solution is now proposed.
Disclosure of Invention
The present application has been made to solve the above-mentioned problems, and an object of the present application is to provide an agricultural production informatization management system based on data analysis.
The aim of the application can be achieved by the following technical scheme:
the agricultural production informatization management system based on data analysis comprises a server, wherein the server is in communication connection with a crop planting analysis unit, a planting process analysis unit, a crop type analysis unit and a production prediction evaluation unit;
the crop planting analysis unit performs crop planting analysis on the agricultural planting area, divides the agricultural planting area into i sub-areas, wherein i is a natural number larger than 1, analyzes the sub-areas of the agricultural planting area, acquires crop planting analysis coefficients in the agricultural planting area, compares and generates crop planting analysis normal signals or crop planting analysis abnormal signals according to the crop planting analysis coefficients, and sends the crop planting analysis normal signals or the crop planting analysis abnormal signals to the server;
the planting process analysis unit analyzes the planting process in the agricultural planting area, generates a planting process abnormal signal or a planting process normal signal through analysis, and sends the planting process abnormal signal or the planting process normal signal to the server;
the crop type analysis unit analyzes the crop types of all subareas in the agricultural planting area, generates a type re-matching signal or a type matching proper signal through analysis, and sends the type re-matching signal or the type matching proper signal to the server;
the production prediction evaluation unit performs accuracy evaluation on the production prediction in the current agricultural planting area, generates a prediction evaluation qualified signal or a prediction evaluation unqualified signal through the accuracy evaluation, and sends the prediction evaluation qualified signal or the prediction evaluation unqualified signal to the server.
As a preferred embodiment of the application, the operation of the crop planting analysis unit is as follows:
obtaining the ratio of the corresponding survival quantity to the total planting quantity of the planted crops in each subarea in the agricultural planting area; acquiring the average survival rate of the planted crops in each subarea in the agricultural planting area, and acquiring the maximum deviation value of the survival rate and the average survival rate of the planted crops in each subarea according to the average survival rate of the planted crops; obtaining the maximum result rate difference value of the same type of planted crops in each subarea in the agricultural planting area; obtaining crop planting analysis coefficients in the agricultural planting area through analysis; and comparing the crop planting analysis coefficient in the agricultural planting area with a crop planting analysis coefficient threshold value.
As a preferred embodiment of the application, if the crop planting analysis coefficient in the agricultural planting area exceeds the crop planting analysis coefficient threshold value, judging that the crop planting analysis in the current agricultural planting area is qualified, generating a crop planting analysis normal signal and sending the crop planting analysis normal signal to a server; if the crop planting analysis coefficient in the agricultural planting area does not exceed the crop planting analysis coefficient threshold value, judging that the crop planting analysis in the current agricultural planting area is unqualified, generating a crop planting analysis abnormal signal and sending the crop planting analysis abnormal signal to a server.
As a preferred embodiment of the present application, the operation of the planting process analyzing unit is as follows:
the deviation distance between the set cultivated position area and the actual cultivated position area in each sub-area in the crop planting process and the area ratio between the fertilizing area and the corresponding sub-area planting area in each sub-area in the crop planting process are obtained, and the deviation distance between the set cultivated position area and the actual cultivated position area in each sub-area in the crop planting process and the area ratio between the fertilizing area and the corresponding sub-area planting area in each sub-area in the crop planting process are compared with a position area deviation distance threshold and a fertilizing area ratio threshold respectively.
As a preferred embodiment of the application, if the deviation distance between the set cultivated position area and the actual cultivated position area in each subarea in the crop planting process exceeds a position area deviation distance threshold value, or the area ratio of the fertilizing area in each subarea to the planting area of the corresponding subarea in the crop planting process does not exceed a fertilizing area ratio threshold value, judging that the current crop planting process is analyzed abnormally, generating a planting process abnormal signal and sending the planting process abnormal signal to a server; if the deviation distance between the set cultivated position area and the actual cultivated position area in each sub-area in the crop planting process does not exceed the deviation distance threshold of the position area, and the area ratio of the fertilizing area in each sub-area to the planting area of the corresponding sub-area in the crop planting process exceeds the fertilizing area ratio threshold, judging that the current crop planting process is normal in analysis, generating a normal planting process signal and sending the normal planting process signal to a server.
As a preferred embodiment of the application, the operation of the crop type analysis unit is as follows:
the method comprises the steps of obtaining the corresponding deviation values of different types of crop planting demand parameters and actual demand parameters in each subarea of an agricultural planting area, marking the deviation values as planting demand parameter numerical differences, obtaining average interval values of the corresponding planting demand parameter numerical differences of different types of crops in the same subarea according to the corresponding planting demand parameter numerical differences of different types of crops, simultaneously collecting the maximum difference value of the survival water demand of different types of crops in the same subarea, and comparing the maximum difference value of the survival water demand of different types of crops in the same subarea with the average interval value of the corresponding planting demand parameter numerical differences of different types of crops in the same subarea with a water demand maximum difference value threshold and an average interval value threshold respectively.
As a preferred implementation mode of the application, if the maximum difference value of the survival water demand of different types of crops in the same sub-area exceeds the maximum difference value threshold of the water demand or the average interval value of the numerical differences of the corresponding planting demand parameters of different types of crops in the same sub-area exceeds the average interval value threshold, judging that the type matching of the crops planted in the current sub-area is unsuitable, generating a type re-matching signal, transmitting the type re-matching signal and the corresponding sub-area marks to a server together, and re-matching the types of the crops planted in the corresponding sub-area after the server receives the type re-matching signal;
if the maximum difference value of the survival water demand of different types of crops in the same subarea does not exceed the maximum difference value threshold of the water demand and the average interval value of the numerical differences of the corresponding planting demand parameters of different types of crops in the same subarea does not exceed the average interval value threshold, judging that the types of the planted crops in the current subarea are properly matched, generating a type matching proper signal and transmitting the type matching proper signal and the corresponding subarea marks to a server.
As a preferred embodiment of the application, the production forecast evaluation unit operates as follows:
the method comprises the steps of obtaining a numerical difference value between a predicted environmental parameter value and an actual environmental parameter value at any moment in a planting process in an agricultural planting area and a frequency of the actual environmental parameter in the predicted environmental parameter range at any moment in the planting process, and comparing the numerical difference value between the predicted environmental parameter value and the actual environmental parameter value at any moment in the planting process in the agricultural planting area and the frequency of the actual environmental parameter in the predicted environmental parameter range at any moment in the planting process with a numerical difference value threshold and a range frequency threshold respectively.
As a preferred embodiment of the application, if the value difference between the predicted environmental parameter value and the actual environmental parameter value at any moment in the planting process in the agricultural planting area exceeds a value difference threshold, or the frequency of the actual environmental parameter in the predicted environmental parameter range at any moment in the planting process does not exceed a frequency threshold in the range, marking the corresponding moment as a deviation moment; if the value difference between the predicted environmental parameter value and the actual environmental parameter value at any moment in the planting process in the agricultural planting area does not exceed the value difference threshold value, and the frequency of the actual environmental parameter in the predicted environmental parameter range at any moment in the planting process exceeds the frequency threshold value in the range, marking the corresponding moment as accurate moment.
As a preferred embodiment of the application, analyzing accurate time and deviation time in the planting process, if the number of deviation time in the planting process does not exceed a corresponding number threshold and the average interval time between the deviation time and the accurate time in the planting process exceeds an interval time threshold, judging that the production prediction evaluation in the planting process is qualified, generating a prediction evaluation qualified signal and transmitting the prediction evaluation qualified signal to a server; otherwise, if the number of the deviation moments in the planting process exceeds a corresponding number threshold or the average interval time between the deviation moments and the accurate moments in the planting process does not exceed an interval time threshold, judging that the production prediction evaluation in the planting process is unqualified, generating a prediction evaluation unqualified signal, sending the prediction evaluation unqualified signal to a server, and rectifying the production prediction in the current subarea after the server receives the prediction evaluation unqualified signal.
Compared with the prior art, the application has the beneficial effects that:
1. according to the application, crop planting analysis is carried out on the agricultural planting area, and whether the crop planting state in the agricultural planting area meets the actual planting requirement is judged, so that crop planting detection of the agricultural planting area is improved, meanwhile, informatization detection can be carried out on agricultural planting according to the crop planting detection, and the agricultural planting can be controlled in a targeted manner; analyzing the planting process in the agricultural planting area, judging whether the real-time planting operation meets the planting requirement in the crop planting process, preventing the planting process from being abnormal, causing deviation of the crop planting qualification rate in the same sub-area, and also causing the unsynchronized planting efficiency of the adjacent sub-areas, so that the management and control cost of the agricultural planting area is increased.
2. In the application, the crop types of all the subareas in the agricultural planting area are analyzed, and whether the crop types planted in the subareas have influence is judged, so that the planting efficiency of the crops planted in the subareas is ensured, and the phenomenon that the planting efficiency is maximized and the survival rate of the crops in the subareas is influenced due to the collision of the crop types in the same subareas is avoided; the accuracy evaluation is carried out on the production prediction in the current agricultural planting area, the high efficiency and feasibility of agricultural planting are improved, the unnecessary waste of planting cost caused by inaccurate production prediction in the crop planting process is avoided, and the crop planting efficiency is greatly reduced.
Drawings
The present application is further described below with reference to the accompanying drawings for the convenience of understanding by those skilled in the art.
Fig. 1 is a functional block diagram of the present application.
Detailed Description
In order that those skilled in the art will better understand the present application, a technical solution in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the application. The appearances of such phrases in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments.
Referring to fig. 1, the agricultural production informatization management system based on data analysis comprises a server, wherein the server is in communication connection with a crop planting analysis unit, a planting process analysis unit, a crop type analysis unit and a production prediction evaluation unit, and the server is in bidirectional communication connection with the crop planting analysis unit, the planting process analysis unit, the crop type analysis unit and the production prediction evaluation unit;
the server generates crop planting analysis signals and sends the crop planting analysis signals to the crop planting analysis unit, the crop planting analysis unit receives the crop planting analysis signals and then performs crop planting analysis on the agricultural planting area to judge whether the crop planting state in the agricultural planting area meets the actual planting requirement, so that crop planting detection of the agricultural planting area is improved, meanwhile, informatization detection can be performed on agricultural planting according to the crop planting detection, and agricultural planting can be controlled in a targeted manner;
dividing an agricultural planting area into i subareas, wherein i is a natural number larger than 1, analyzing the subareas of the agricultural planting area to obtain the ratio of the corresponding survival amount to the total planting amount of the planted crops in each subarea in the agricultural planting area, and marking the ratio of the corresponding survival amount to the total planting amount of the planted crops in each subarea in the agricultural planting area as SLBi; obtaining the average survival rate of the crops in each subarea in the agricultural planting area, collecting the maximum deviation value of the survival rate and the average survival rate of the crops in each subarea according to the average survival rate of the crops, and marking the maximum deviation value of the survival rate and the average survival rate of the crops in each subarea as ZDpi; obtaining the maximum result rate difference value of the same type of planted crops in each subarea in the agricultural planting area, and marking the maximum result rate difference value of the same type of planted crops in each subarea in the agricultural planting area as JGLi;
by the formulaObtaining crop planting analysis coefficients Ki in an agricultural planting area, wherein w1, w2 and w3 are preset proportional coefficients, w1 is more than w2 is more than w3 is more than 0, beta is an error correction factor, and the value is 0.989;
comparing the crop planting analysis coefficient Ki in the agricultural planting area with a crop planting analysis coefficient threshold value:
if the crop planting analysis coefficient Ki in the agricultural planting area exceeds the crop planting analysis coefficient threshold, judging that the crop planting analysis in the current agricultural planting area is qualified, generating a crop planting analysis normal signal and sending the crop planting analysis normal signal to a server;
if the crop planting analysis coefficient Ki in the agricultural planting area does not exceed the crop planting analysis coefficient threshold, judging that the crop planting analysis in the current agricultural planting area is unqualified, generating a crop planting analysis abnormal signal and sending the crop planting analysis abnormal signal to a server;
after receiving the abnormal crop planting analysis signals, the server generates planting process analysis signals and sends the planting process analysis signals to the planting process analysis unit, and after receiving the planting process analysis signals, the planting process analysis unit analyzes the planting process in the agricultural planting area to judge whether the real-time planting operation in the crop planting process meets the planting requirements or not, so that the condition that the planting process is abnormal, the crop planting qualification rate in the same sub-area is deviated, the planting efficiency of adjacent sub-areas is not synchronous, and the management and control cost of the agricultural planting area is increased is prevented;
the method comprises the steps of obtaining the deviation distance between a set cultivated position area and an actual cultivated position area in each subarea in the crop planting process and the area occupation ratio between a fertilizing area and a corresponding subarea planting area in each subarea in the crop planting process, and comparing the deviation distance between the set cultivated position area and the actual cultivated position area in each subarea in the crop planting process and the area occupation ratio between the fertilizing area and the corresponding subarea planting area in each subarea in the crop planting process with a position area deviation distance threshold value and a fertilizing area occupation ratio threshold value respectively:
if the deviation distance between the set cultivated position area and the actual cultivated position area in each subarea in the crop planting process exceeds the deviation distance threshold of the position area, or the area ratio of the fertilizing area in each subarea to the corresponding subarea planting area in the crop planting process does not exceed the fertilizing area ratio threshold, judging that the current crop planting process is abnormal, generating a planting process abnormal signal and sending the planting process abnormal signal to a server, and after receiving the planting process abnormal signal, executing real-time planting operation on the corresponding abnormal subarea again, and monitoring the real-time planting operation of the whole agricultural planting area;
if the deviation distance between the set cultivated position area and the actual cultivated position area in each subarea in the crop planting process does not exceed the deviation distance threshold value of the position area, and the area ratio of the fertilizing area in each subarea to the planting area of the corresponding subarea in the crop planting process exceeds the fertilizing area ratio threshold value, judging that the current crop planting process analysis is normal, generating a planting process normal signal and sending the planting process normal signal to a server;
after receiving the normal signals of the planting process, the server generates crop type analysis signals and sends the crop type analysis signals to the crop type analysis unit, and after receiving the crop type analysis signals, the crop type analysis unit analyzes the crop types of all subareas in the agricultural planting area and judges whether the crop types planted in the subareas have influence or not, so that the planting efficiency of the crops planted in the subareas is ensured, and the phenomenon that the planting efficiency is maximized and the survival rate of the crops in the subareas is influenced due to collision of the crop types in the same subarea is avoided;
the method comprises the steps of obtaining corresponding deviation values of planting demand parameters and actual demand parameters of different types of crops in each subarea in an agricultural planting area, marking the deviation values as planting demand parameter numerical differences, obtaining average interval values of the corresponding planting demand parameter numerical differences of different types of crops in the same subarea according to the corresponding planting demand parameter numerical differences of the different types of crops, simultaneously collecting the maximum difference value of survival water required by the different types of crops in the same subarea, and comparing the maximum difference value of survival water required by the different types of crops in the same subarea with the average interval value of the corresponding planting demand parameter numerical differences of the different types of crops in the same subarea with a water required maximum difference value threshold and an average interval value threshold respectively:
if the maximum difference value of the survival water demand of different types of crops in the same subarea exceeds the maximum difference value threshold of the water demand, or the average interval value of the numerical differences of the corresponding planting demand parameters of different types of crops in the same subarea exceeds the average interval value threshold, judging that the type matching of the planted crops in the current subarea is unsuitable, generating a type re-matching signal, transmitting the type re-matching signal and the corresponding subarea marks to a server together, and re-matching the types of the planted crops in the corresponding subarea after the server receives the type re-matching signal; the planting requirement parameters are parameters such as the nutrient amount required by crops, the planting time required by crops and the like;
if the maximum difference value of the survival water demand of different types of crops in the same subarea does not exceed the maximum difference value threshold of the water demand and the average interval value of the numerical differences of the corresponding planting demand parameters of different types of crops in the same subarea does not exceed the average interval value threshold, judging that the types of the planted crops in the current subarea are properly matched, generating a type matching proper signal and transmitting the type matching proper signal and the corresponding subarea marks to a server together;
after receiving the type matching qualified signal, the server generates a production prediction evaluation signal and sends the production prediction evaluation signal to a production prediction evaluation unit, and after receiving the production prediction evaluation signal, the production prediction evaluation unit performs accuracy evaluation on the production prediction in the current agricultural planting area, so that the high efficiency and feasibility of agricultural planting are improved, the unnecessary and wasteful planting cost caused by inaccurate production prediction in the crop planting process is avoided, and the crop planting efficiency is greatly reduced;
acquiring a value difference value between a predicted environmental parameter value and an actual environmental parameter value at any time in a planting process in an agricultural planting area and a frequency of the actual environmental parameter in the predicted environmental parameter range at any time in the planting process, and comparing the value difference value between the predicted environmental parameter value and the actual environmental parameter value at any time in the planting process in the agricultural planting area and the frequency of the actual environmental parameter in the predicted environmental parameter range at any time in the planting process with a value difference threshold and a range frequency threshold respectively: the actual environment parameters are represented as parameters such as a temperature value, a humidity value, rainfall and the like;
if the value difference between the predicted environmental parameter value and the actual environmental parameter value at any moment in the planting process in the agricultural planting area exceeds a value difference threshold, or the frequency of the actual environmental parameter in the predicted environmental parameter range at any moment in the planting process does not exceed a frequency threshold in the range, marking the corresponding moment as a deviation moment; if the value difference between the predicted environmental parameter value and the actual environmental parameter value at any moment in the planting process in the agricultural planting area does not exceed the value difference threshold value, and the frequency of the actual environmental parameter in the predicted environmental parameter range at any moment in the planting process exceeds the frequency threshold value in the range, marking the corresponding moment as an accurate moment;
analyzing the accurate time and the deviation time in the planting process, if the number of the deviation time in the planting process does not exceed the corresponding number threshold value and the average interval time between the deviation time and the accurate time in the planting process exceeds the interval time threshold value, judging that the production prediction evaluation in the planting process is qualified, generating a prediction evaluation qualified signal and transmitting the prediction evaluation qualified signal to a server; otherwise, if the number of the deviation moments in the planting process exceeds a corresponding number threshold or the average interval time between the deviation moments and the accurate moments in the planting process does not exceed an interval time threshold, judging that the production prediction evaluation in the planting process is unqualified, generating a prediction evaluation unqualified signal, sending the prediction evaluation unqualified signal to a server, and rectifying the production prediction in the current subarea after the server receives the prediction evaluation unqualified signal;
the agricultural production informatization management steps of the application are as follows:
analyzing the planting efficiency of the planted crops in the agricultural planting area, and performing the second step when the planting efficiency of the planted crops is abnormal, otherwise, continuously performing the planting detection of the planted crops;
step two, analyzing a planting process aiming at the planting crops with abnormal planting efficiency, judging whether the real-time planting operation meets the planting requirement in the planting process of the crops, entering the step three when the real-time planting operation meets the planting requirement, adjusting the planting flow of the crops when the real-time planting operation does not meet the planting requirement, and adjusting the planting flow in the next planting period;
step three, analyzing the planting types in the area aiming at the planting crops with abnormal planting efficiency, judging whether the types of the crops planted in the area have influence, entering step four when the influence is not generated, adjusting the planting types of the crops planted in the area if the types of the crops planted in the area have influence, and performing planting type matching adjustment in the next planting period;
and fourthly, evaluating prediction accuracy in the planting process aiming at the planting crops with abnormal planting efficiency, judging whether the planting crops with abnormal planting efficiency are reasonably predicted in the planting stage, adjusting the prediction mode when the prediction is abnormal, and adjusting the planting prediction mode in the next planting period.
The formulas are all formulas obtained by collecting a large amount of data for software simulation and selecting a formula close to a true value, and coefficients in the formulas are set by a person skilled in the art according to actual conditions;
when the system is used, the crop planting analysis unit performs crop planting analysis on the agricultural planting area, divides the agricultural planting area into i subareas, analyzes the subareas of the agricultural planting area, acquires crop planting analysis coefficients in the agricultural planting area, compares and generates crop planting analysis normal signals or crop planting analysis abnormal signals according to the crop planting analysis coefficients, and sends the crop planting analysis normal signals or the crop planting analysis abnormal signals to the server; the planting process analysis unit analyzes the planting process in the agricultural planting area, generates a planting process abnormal signal or a planting process normal signal through analysis, and sends the planting process abnormal signal or the planting process normal signal to the server; the crop type analysis unit analyzes the crop types of all subareas in the agricultural planting area, generates a type re-matching signal or a type matching proper signal through analysis, and sends the type re-matching signal or the type matching proper signal to the server; the production prediction evaluation unit performs accuracy evaluation on the production prediction in the current agricultural planting area, generates a prediction evaluation qualified signal or a prediction evaluation unqualified signal through the accuracy evaluation, and sends the prediction evaluation qualified signal or the prediction evaluation unqualified signal to the server.
The preferred embodiments of the application disclosed above are intended only to assist in the explanation of the application. The preferred embodiments are not intended to be exhaustive or to limit the application to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the application and the practical application, to thereby enable others skilled in the art to best understand and utilize the application. The application is limited only by the claims and the full scope and equivalents thereof.
Claims (10)
1. The agricultural production informatization management system based on data analysis is characterized by comprising a server, wherein the server is in communication connection with a crop planting analysis unit, a planting process analysis unit, a crop type analysis unit and a production prediction evaluation unit;
the crop planting analysis unit performs crop planting analysis on the agricultural planting area, divides the agricultural planting area into i sub-areas, wherein i is a natural number larger than 1, analyzes the sub-areas of the agricultural planting area, acquires crop planting analysis coefficients in the agricultural planting area, compares and generates crop planting analysis normal signals or crop planting analysis abnormal signals according to the crop planting analysis coefficients, and sends the crop planting analysis normal signals or the crop planting analysis abnormal signals to the server;
the planting process analysis unit analyzes the planting process in the agricultural planting area, generates a planting process abnormal signal or a planting process normal signal through analysis, and sends the planting process abnormal signal or the planting process normal signal to the server;
the crop type analysis unit analyzes the crop types of all subareas in the agricultural planting area, generates a type re-matching signal or a type matching proper signal through analysis, and sends the type re-matching signal or the type matching proper signal to the server;
the production prediction evaluation unit performs accuracy evaluation on the production prediction in the current agricultural planting area, generates a prediction evaluation qualified signal or a prediction evaluation unqualified signal through the accuracy evaluation, and sends the prediction evaluation qualified signal or the prediction evaluation unqualified signal to the server.
2. The data analysis-based agricultural production informatization management system according to claim 1, wherein the operation process of the crop planting analysis unit is as follows:
obtaining the ratio of the corresponding survival quantity to the total planting quantity of the planted crops in each subarea in the agricultural planting area; acquiring the average survival rate of the planted crops in each subarea in the agricultural planting area, and acquiring the maximum deviation value of the survival rate and the average survival rate of the planted crops in each subarea according to the average survival rate of the planted crops; obtaining the maximum result rate difference value of the same type of planted crops in each subarea in the agricultural planting area; obtaining crop planting analysis coefficients in the agricultural planting area through analysis; and comparing the crop planting analysis coefficient in the agricultural planting area with a crop planting analysis coefficient threshold value.
3. The data analysis-based agricultural production informatization management system according to claim 2, wherein if the crop planting analysis coefficient in the agricultural planting area exceeds the crop planting analysis coefficient threshold, the crop planting analysis in the current agricultural planting area is judged to be qualified, a crop planting analysis normal signal is generated, and the crop planting analysis normal signal is sent to the server; if the crop planting analysis coefficient in the agricultural planting area does not exceed the crop planting analysis coefficient threshold value, judging that the crop planting analysis in the current agricultural planting area is unqualified, generating a crop planting analysis abnormal signal and sending the crop planting analysis abnormal signal to a server.
4. The agricultural production informatization management system based on data analysis according to claim 1, wherein the operation process of the planting process analysis unit is as follows:
the deviation distance between the set cultivated position area and the actual cultivated position area in each sub-area in the crop planting process and the area ratio between the fertilizing area and the corresponding sub-area planting area in each sub-area in the crop planting process are obtained, and the deviation distance between the set cultivated position area and the actual cultivated position area in each sub-area in the crop planting process and the area ratio between the fertilizing area and the corresponding sub-area planting area in each sub-area in the crop planting process are compared with a position area deviation distance threshold and a fertilizing area ratio threshold respectively.
5. The agricultural production informatization management system based on data analysis according to claim 4, wherein if the deviation distance between the set cultivated position area and the actual cultivated position area in each sub-area exceeds the deviation distance threshold of the position area, or the area ratio of the fertilizing area in each sub-area to the planting area of the corresponding sub-area in the crop planting process does not exceed the fertilizing area ratio threshold, determining that the current crop planting process is abnormal, generating a planting process abnormal signal and transmitting the planting process abnormal signal to the server; if the deviation distance between the set cultivated position area and the actual cultivated position area in each sub-area in the crop planting process does not exceed the deviation distance threshold of the position area, and the area ratio of the fertilizing area in each sub-area to the planting area of the corresponding sub-area in the crop planting process exceeds the fertilizing area ratio threshold, judging that the current crop planting process is normal in analysis, generating a normal planting process signal and sending the normal planting process signal to a server.
6. The agricultural production informatization management system based on data analysis according to claim 1, wherein the operation process of the crop type analysis unit is as follows:
the method comprises the steps of obtaining the corresponding deviation values of different types of crop planting demand parameters and actual demand parameters in each subarea of an agricultural planting area, marking the deviation values as planting demand parameter numerical differences, obtaining average interval values of the corresponding planting demand parameter numerical differences of different types of crops in the same subarea according to the corresponding planting demand parameter numerical differences of different types of crops, simultaneously collecting the maximum difference value of the survival water demand of different types of crops in the same subarea, and comparing the maximum difference value of the survival water demand of different types of crops in the same subarea with the average interval value of the corresponding planting demand parameter numerical differences of different types of crops in the same subarea with a water demand maximum difference value threshold and an average interval value threshold respectively.
7. The agricultural production informatization management system based on data analysis according to claim 6, wherein if the maximum difference of the survival water demand of different types of crops in the same subarea exceeds a water demand maximum difference threshold, or if the average interval value of the numerical differences of the corresponding planting demand parameters of different types of crops in the same subarea exceeds an average interval value threshold, determining that the type matching of the planted crops in the current subarea is unsuitable, generating a type re-matching signal, transmitting the type re-matching signal and the corresponding subarea marks to a server together, and re-matching the planted crop types in the corresponding subarea after receiving the type re-matching signal by the server;
if the maximum difference value of the survival water demand of different types of crops in the same subarea does not exceed the maximum difference value threshold of the water demand and the average interval value of the numerical differences of the corresponding planting demand parameters of different types of crops in the same subarea does not exceed the average interval value threshold, judging that the types of the planted crops in the current subarea are properly matched, generating a type matching proper signal and transmitting the type matching proper signal and the corresponding subarea marks to a server.
8. The agricultural production informatization management system based on data analysis according to claim 1, wherein the operation process of the production prediction evaluation unit is as follows:
the method comprises the steps of obtaining a numerical difference value between a predicted environmental parameter value and an actual environmental parameter value at any moment in a planting process in an agricultural planting area and a frequency of the actual environmental parameter in the predicted environmental parameter range at any moment in the planting process, and comparing the numerical difference value between the predicted environmental parameter value and the actual environmental parameter value at any moment in the planting process in the agricultural planting area and the frequency of the actual environmental parameter in the predicted environmental parameter range at any moment in the planting process with a numerical difference value threshold and a range frequency threshold respectively.
9. The data analysis-based agricultural production informatization management system according to claim 8, wherein if a value difference between a predicted environmental parameter value and an actual environmental parameter value at any time in a planting process in an agricultural planting area exceeds a value difference threshold, or a frequency of the actual environmental parameter at any time in the planting process in a predicted environmental parameter range does not exceed a frequency threshold in the range, the corresponding time is marked as a deviation time; if the value difference between the predicted environmental parameter value and the actual environmental parameter value at any moment in the planting process in the agricultural planting area does not exceed the value difference threshold value, and the frequency of the actual environmental parameter in the predicted environmental parameter range at any moment in the planting process exceeds the frequency threshold value in the range, marking the corresponding moment as accurate moment.
10. The agricultural production informatization management system based on data analysis according to claim 9, wherein the accurate time and the deviation time in the planting process are analyzed, if the number of the deviation time in the planting process does not exceed the corresponding number threshold and the average interval time between the deviation time and the accurate time in the planting process exceeds the interval time threshold, the production prediction evaluation in the planting process is judged to be qualified, a prediction evaluation qualified signal is generated, and the prediction evaluation qualified signal is sent to the server; otherwise, if the number of the deviation moments in the planting process exceeds a corresponding number threshold or the average interval time between the deviation moments and the accurate moments in the planting process does not exceed an interval time threshold, judging that the production prediction evaluation in the planting process is unqualified, generating a prediction evaluation unqualified signal, sending the prediction evaluation unqualified signal to a server, and rectifying the production prediction in the current subarea after the server receives the prediction evaluation unqualified signal.
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| WO2021258359A1 (en) * | 2020-06-24 | 2021-12-30 | 深圳市大疆创新科技有限公司 | Method and apparatus for determining crop planting information, and computer storage medium |
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