CN113295208A - Intelligent agricultural planting data monitoring method - Google Patents
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Abstract
The invention provides an intelligent agricultural planting data monitoring method, and relates to the technical field of Internet of things agricultural planting data monitoring and analysis. The intelligent agricultural planting data monitoring method comprises the following specific steps of obtaining soil sample information of a planting area; analyzing the soil sample; analyzing market quotations; analyzing the fertilization suggestion; monitoring the environment; analyzing the growth conditions; and sending the notice. The invention helps farmers obtain the crops suitable for the local and the fertilizers suitable for the local and the crops through big data, can avoid the problem that the crops are not suitable for the local planting environment by helping the farmers find the crops suitable for the local, and is beneficial to reducing the burden of the farmers and the platform.
Description
Technical Field
The invention relates to the technical field of Internet of things agricultural planting data monitoring and analysis, in particular to an intelligent agricultural planting data monitoring method.
Background
The Internet of things is an extended and expanded network on the basis of the Internet, various information sensing devices and the network are combined to form a huge network, interconnection and intercommunication of people, machines and objects at any time and any place are realized, intelligent agriculture is high-level application of the Internet of things technology in the field of modern agriculture, namely, sensors and software are used for remote monitoring, and agricultural production is controlled through a mobile platform or a computer platform.
At present, the existing intelligent agricultural planting data monitoring method can only monitor the environment of a planting area of crops, the adaptability of different crops in different environments is different, and a series of planting problems can be avoided more effectively only by helping a user to find crops suitable for the local area.
Disclosure of Invention
Technical problem to be solved
Aiming at the defects of the prior art, the invention provides an intelligent agricultural planting data monitoring method, which solves the problems that the existing intelligent agricultural planting data monitoring method can only monitor the environment of a planting area of crops, cannot fundamentally help a user to search for the most suitable and local crops, and cannot provide more comprehensive analysis suggestions for the user.
(II) technical scheme
In order to achieve the purpose, the invention is realized by the following technical scheme: an intelligent agricultural planting data monitoring method comprises the following specific steps:
A. acquiring soil sample information of a planting area;
B. analyzing a soil sample, uploading soil information and planting area climate information to an agricultural planting data monitoring service platform, matching network big data with different crops suitable for growing in a selected area and corresponding seed model specifications of the crops through the agricultural planting data monitoring service platform, and analyzing nutrient elements lacking in the soil by the agricultural planting data monitoring service platform according to the soil sample information;
C. analyzing market quotations, wherein the agricultural planting data monitoring service platform analyzes and matches the types of crops with good quotations in recent years through network big data;
D. analyzing a fertilization suggestion, analyzing nutrient elements required to be supplemented in a planting area by an agricultural planting data monitoring service platform according to a seed model selected by a user and nutrient elements lacking in soil, obtaining a specific fertilizer type by the agricultural planting data monitoring service platform according to analyzed information and network big data, and generating a fertilization proportion;
E. monitoring the environment, namely monitoring the climate and soil information of a planting area through an environment sensor after seeds are sown, and uploading the monitoring information acquired by the environment sensor to an agricultural planting data monitoring service platform through wireless communication equipment;
F. analyzing growth conditions, acquiring change information of illumination, moisture, soil pH value, gas and the like of a planting area by the agricultural planting data monitoring service platform according to the acquired environment information, and acquiring meteorological information of the planting area by the agricultural planting data monitoring service platform through a network;
G. and sending a notice, wherein when the agricultural planting data monitoring service platform monitors that a certain crop growth required condition in a planting area does not meet the standard, the agricultural planting data monitoring service platform sends prompt information to a user terminal through a network, the agricultural planting data monitoring service platform analyzes adjustment required by the crop growth environment in different weathers according to local weather forecast, and the agricultural planting data monitoring service platform sends the adjustment information to the user terminal through the network.
Preferably, the environmental sensor includes light sensor, air humidity sensor, soil pH valve sensor, temperature sensor, carbon dioxide content sensor, light sensor, air humidity sensor, soil pH valve sensor, temperature sensor, carbon dioxide content sensor all with wireless communication equipment between electric connection.
Preferably, the step a further comprises:
a1, working personnel of the agricultural planting data monitoring service platform help a user to sample soil in a selected planting area;
a2, sending the soil sample to a professional detection mechanism for analysis by the staff of the agricultural planting data monitoring service platform.
Preferably, the step B further comprises:
b1, uploading the analysis result to the agricultural planting data monitoring service platform by the agricultural planting data monitoring service platform staff;
b2, matching different crops suitable for growing in the selected area and the seed model specification corresponding to each crop through network big data by the agricultural planting data monitoring service platform, in the process, searching whether the seeds which are suitable for growing in the selected area exist in the brand with the sponsorship fee by the agricultural planting data monitoring service platform, recording the seeds when the seeds are found, otherwise, searching in other ranges, printing codes on the searched seed brand, covering the seed brand, and only recording the type of the fertilizer.
Preferably, the step C further comprises:
c1, accessing the agricultural planting data monitoring service platform into each large crop trading platform to search the matched trading information of each crop in the current year and establishing a consultation table;
c2, the agricultural planting data monitoring service platform sends the inquired trading information of crops in the year and the consultation form to the user terminal through the network.
Preferably, the step D further comprises:
d1, the agricultural planting data monitoring service platform extracts form information uploaded by a user side;
d2, searching fertilizer types meeting the requirements on the network by the agricultural planting data monitoring service platform according to the seed model selected by the user and nutrient elements lacking in the soil, in the process, searching whether the fertilizers meet the requirements in the sponsorship brands or not by the agricultural planting data monitoring service platform, recording the searched fertilizers if the fertilizers meet the requirements, and otherwise, searching and covering the searched fertilizer brands in other ranges and only recording the fertilizer types;
d3, the agricultural planting data monitoring service platform further inquires the use ratio of the fertilizer according to the searched fertilizer information, and makes the fertilizer type and the fertilizer ratio information into a graphical table and sends the graphical table to a user side.
(III) advantageous effects
The invention provides an intelligent agricultural planting data monitoring method. The method has the following beneficial effects:
1. the local planting environment of the farmer is analyzed by combining field sampling, the farmer is helped to obtain the crop types suitable for the local and the fertilizers suitable for the local and the crops through big data, the problem that the crops are not suitable for the local planting environment can be avoided by helping the farmer to find the crops suitable for the local, and the burden of the farmer and a platform is favorably reduced.
2. By helping the farmers select crops with better market conditions, the farmers can sell the crops at a better price after the crops are harvested.
3. By helping farmers monitor the climate of the planting area and the change of the conditions required by crops in real time and sending the information to the user side in time, the farmers can receive the information prompt in time, so that operations such as water replenishing, fertilizer replenishing and the like can be performed on the crops in time, the crops can be protected by the farmers, and the crops can be helped to grow more smoothly.
Drawings
Fig. 1 is a schematic diagram of an overall structure of an intelligent farming data monitoring method provided by the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example (b):
as shown in fig. 1, an embodiment of the present invention provides a method for monitoring intelligent farming data, which includes the following steps:
A. acquiring soil sample information of a planting area;
a1, working personnel of the agricultural planting data monitoring service platform help a user to sample soil in a selected planting area;
a2, sending the soil sample to a professional detection mechanism for analysis by the staff of the agricultural planting data monitoring service platform.
B. Analyzing a soil sample, uploading soil information and planting area climate information to an agricultural planting data monitoring service platform, matching network big data with different crops suitable for growing in a selected area and corresponding seed model specifications of the crops through the agricultural planting data monitoring service platform, and analyzing nutrient elements lacking in the soil by the agricultural planting data monitoring service platform according to the soil sample information;
b1, uploading the analysis result to the agricultural planting data monitoring service platform by the agricultural planting data monitoring service platform staff;
b2, matching different crops suitable for growing in the selected area and the seed model specification corresponding to each crop through network big data by the agricultural planting data monitoring service platform, in the process, searching whether the seeds which are suitable for growing in the selected area exist in the brand with the sponsorship fee by the agricultural planting data monitoring service platform, recording the seeds when the seeds are found, otherwise, searching in other ranges, printing codes on the searched seed brand, covering the seed brand, and only recording the type of the fertilizer.
C. Analyzing market quotations, wherein the agricultural planting data monitoring service platform analyzes and matches the types of crops with good quotations in recent years through network big data;
c1, accessing the agricultural planting data monitoring service platform into each large crop trading platform to search the matched trading information of each crop in the current year and establishing a consultation table;
c2, the agricultural planting data monitoring service platform sends the inquired trading information of crops in the year and the consultation form to the user terminal through the network.
D. Analyzing a fertilization suggestion, analyzing nutrient elements required to be supplemented in a planting area by an agricultural planting data monitoring service platform according to a seed model selected by a user and nutrient elements lacking in soil, obtaining a specific fertilizer type by the agricultural planting data monitoring service platform according to analyzed information and network big data, and generating a fertilization proportion;
d1, the agricultural planting data monitoring service platform extracts form information uploaded by a user side;
d2, searching fertilizer types meeting the requirements on the network by the agricultural planting data monitoring service platform according to the seed model selected by the user and nutrient elements lacking in the soil, in the process, searching whether the fertilizers meet the requirements in the sponsorship brands or not by the agricultural planting data monitoring service platform, recording the searched fertilizers if the fertilizers meet the requirements, and otherwise, searching and covering the searched fertilizer brands in other ranges and only recording the fertilizer types;
d3, the agricultural planting data monitoring service platform further inquires the use ratio of the fertilizer according to the searched fertilizer information, and makes the fertilizer type and the fertilizer ratio information into a graphical table and sends the graphical table to a user side.
E. Monitoring the environment, namely monitoring the climate and soil information of a planting area through an environment sensor after seeds are sown, and uploading the monitoring information acquired by the environment sensor to an agricultural planting data monitoring service platform through wireless communication equipment;
F. analyzing growth conditions, acquiring change information of illumination, moisture, soil pH value, gas and the like of a planting area by the agricultural planting data monitoring service platform according to the acquired environment information, and acquiring meteorological information of the planting area by the agricultural planting data monitoring service platform through a network;
G. and sending a notice, wherein when the agricultural planting data monitoring service platform monitors that a certain crop growth required condition in a planting area does not meet the standard, the agricultural planting data monitoring service platform sends prompt information to a user terminal through a network, the agricultural planting data monitoring service platform analyzes adjustment required by the crop growth environment in different weathers according to local weather forecast, and the agricultural planting data monitoring service platform sends the adjustment information to the user terminal through the network.
The environment sensor comprises an illumination sensor, an air humidity sensor, a soil pH value sensor, a temperature sensor and a carbon dioxide content sensor which are electrically connected with the wireless communication equipment, so that the illumination, the air humidity sensor, the soil pH value sensor, the temperature sensor and the carbon dioxide content sensor in the planting environment can be respectively monitored through the illumination sensor, the air humidity sensor, the soil pH value sensor, the temperature sensor and the carbon dioxide content sensor, and sends the information to a farming data monitoring service platform through wireless communication equipment, and (4) carrying out data analysis through the agricultural planting data monitoring service platform to judge whether the conditions required by the growth of the crops in the planting area meet the standard.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (6)
1. An intelligent agricultural planting data monitoring method is characterized by comprising the following specific steps:
A. acquiring soil sample information of a planting area;
B. analyzing a soil sample, uploading soil information and planting area climate information to an agricultural planting data monitoring service platform, matching network big data with different crops suitable for growing in a selected area and corresponding seed model specifications of the crops through the agricultural planting data monitoring service platform, and analyzing nutrient elements lacking in the soil by the agricultural planting data monitoring service platform according to the soil sample information;
C. analyzing market quotations, wherein the agricultural planting data monitoring service platform analyzes and matches the types of crops with good quotations in recent years through network big data;
D. analyzing a fertilization suggestion, analyzing nutrient elements required to be supplemented in a planting area by an agricultural planting data monitoring service platform according to a seed model selected by a user and nutrient elements lacking in soil, obtaining a specific fertilizer type by the agricultural planting data monitoring service platform according to analyzed information and network big data, and generating a fertilization proportion;
E. monitoring the environment, namely monitoring the climate and soil information of a planting area through an environment sensor after seeds are sown, and uploading the monitoring information acquired by the environment sensor to an agricultural planting data monitoring service platform through wireless communication equipment;
F. analyzing growth conditions, acquiring change information of illumination, moisture, soil pH value, gas and the like of a planting area by the agricultural planting data monitoring service platform according to the acquired environment information, and acquiring meteorological information of the planting area by the agricultural planting data monitoring service platform through a network;
G. and sending a notice, wherein when the agricultural planting data monitoring service platform monitors that a certain crop growth required condition in a planting area does not meet the standard, the agricultural planting data monitoring service platform sends prompt information to a user terminal through a network, the agricultural planting data monitoring service platform analyzes adjustment required by the crop growth environment in different weathers according to local weather forecast, and the agricultural planting data monitoring service platform sends the adjustment information to the user terminal through the network.
2. The intelligent farming data monitoring method of claim 1, wherein: the environment sensor includes light sensor, air humidity sensor, soil humidity transducer, soil pH valve sensor, temperature sensor, carbon dioxide content sensor, light sensor, air humidity sensor, soil humidity transducer, soil pH valve sensor, temperature sensor, carbon dioxide content sensor all with wireless communication equipment between electric connection.
3. The method for monitoring intelligent farming data according to claim 1, wherein the step a further comprises:
a1, working personnel of the agricultural planting data monitoring service platform help a user to sample soil in a selected planting area;
a2, sending the soil sample to a professional detection mechanism for analysis by the staff of the agricultural planting data monitoring service platform.
4. The method for monitoring intelligent farming data according to claim 1, wherein the step B further comprises:
b1, uploading the analysis result to the agricultural planting data monitoring service platform by the agricultural planting data monitoring service platform staff;
b2, matching different crops suitable for growing in the selected area and the seed model specification corresponding to each crop through network big data by the agricultural planting data monitoring service platform, in the process, searching whether the seeds which are suitable for growing in the selected area exist in the brand with the sponsorship fee by the agricultural planting data monitoring service platform, recording the seeds when the seeds are found, otherwise, searching in other ranges, printing codes on the searched seed brand, covering the seed brand, and only recording the type of the fertilizer.
5. The method for monitoring intelligent farming data according to claim 1, wherein the step C further comprises:
c1, accessing the agricultural planting data monitoring service platform into each large crop trading platform to search the matched trading information of each crop in the current year and establishing a consultation table;
c2, the agricultural planting data monitoring service platform sends the inquired trading information of crops in the year and the consultation form to the user terminal through the network.
6. The method for monitoring intelligent farming data according to claim 1, wherein the step D further comprises:
d1, the agricultural planting data monitoring service platform extracts form information uploaded by a user side;
d2, searching fertilizer types meeting the requirements on the network by the agricultural planting data monitoring service platform according to the seed model selected by the user and nutrient elements lacking in the soil, in the process, searching whether the fertilizers meet the requirements in the sponsorship brands or not by the agricultural planting data monitoring service platform, recording the searched fertilizers if the fertilizers meet the requirements, and otherwise, searching and covering the searched fertilizer brands in other ranges and only recording the fertilizer types;
d3, the agricultural planting data monitoring service platform further inquires the use ratio of the fertilizer according to the searched fertilizer information, and makes the fertilizer type and the fertilizer ratio information into a graphical table and sends the graphical table to a user side.
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